ArticlePDF Available

Simulated Physical Mechanisms Associated with Climate Variability over Lake Victoria Basin in East Africa

Authors:

Abstract and Figures

A fully coupled regional climate, 3D lake modeling system is used to investigate the physical mechanisms associated with the multiscale variability of the Lake Victoria basin climate. To examine the relative influence of different processes on the lake basin climate, a suite of model experiments were performed by smoothing topography around the lake basin, altering lake surface characteristics, and reducing or increasing the amount of large-scale moisture advected into the lake region through the four lateral boundaries of the model domain. Simulated monthly mean rainfall over the basin is comparable to the satellite (Tropical Rainfall Measuring Mission) estimates. Peaks between midnight and early morning hours characterize the simulated diurnal variability of rainfall over the four quadrants of the lake, consistent with satellite estimates, although the simulated peaks occur a little earlier. It is evident in the simulations with smoothed topography that the upslope/downslope flow generated by the mountains east of the lake and the land-lake breeze circulations play important roles in influencing the intensity, the location of lake/land breeze fronts, and the horizontal extent of the land-lake breeze circulation, as well as lake basin precipitation. When the lake surface is replaced with marsh (water hyacinth), the late night and early morning rainfall maximum located over the western sector of the lake is dramatically reduced. Our simulations also indicate that large-scale moisture transported via the prevailing easterly trades enhances lake basin precipitation significantly. This is in contrast to the notion advanced in some of the previous studies that Lake Victoria generates its own climate (rainfall) through precipitation-evaporation-reprecipitation recycling only.
Content may be subject to copyright.
Simulated Physical Mechanisms Associated with Climate Variability over
Lake Victoria Basin in East Africa
RICHARD O. ANYAH
Center for Environmental Prediction, Department of Environmental Sciences, Rutgers, The State University of New Jersey,
New Brunswick, New Jersey
FREDRICK H. M. SEMAZZI
Department of Marine, Earth and Atmospheric Sciences, and Department of Mathematics, North Carolina State University,
Raleigh, North Carolina
LIAN XIE
Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina
(Manuscript received 5 October 2005, in final form 21 March 2006)
ABSTRACT
A fully coupled regional climate, 3D lake modeling system is used to investigate the physical mechanisms
associated with the multiscale variability of the Lake Victoria basin climate. To examine the relative
influence of different processes on the lake basin climate, a suite of model experiments were performed by
smoothing topography around the lake basin, altering lake surface characteristics, and reducing or increas-
ing the amount of large-scale moisture advected into the lake region through the four lateral boundaries of
the model domain. Simulated monthly mean rainfall over the basin is comparable to the satellite (Tropical
Rainfall Measuring Mission) estimates. Peaks between midnight and early morning hours characterize the
simulated diurnal variability of rainfall over the four quadrants of the lake, consistent with satellite esti-
mates, although the simulated peaks occur a little earlier. It is evident in the simulations with smoothed
topography that the upslope/downslope flow generated by the mountains east of the lake and the land–lake
breeze circulations play important roles in influencing the intensity, the location of lake/land breeze fronts,
and the horizontal extent of the land–lake breeze circulation, as well as lake basin precipitation. When the
lake surface is replaced with marsh (water hyacinth), the late night and early morning rainfall maximum
located over the western sector of the lake is dramatically reduced. Our simulations also indicate that
large-scale moisture transported via the prevailing easterly trades enhances lake basin precipitation signifi-
cantly. This is in contrast to the notion advanced in some of the previous studies that Lake Victoria
generates its own climate (rainfall) through precipitation–evaporation–reprecipitation recycling only.
1. Introduction
The primary objective of the present study is to char-
acterize and understand the relative roles of several
physical mechanisms associated with the coupled lake–
atmosphere climate variability over Lake Victoria basin
in East Africa on diurnal through interannual time
scales. Lake Victoria basin is one of the agriculturally
productive areas in East Africa and thus a major bread-
basket for the region. Besides having an agriculturally
rich hinterland, the lake also supports and sustains im-
portant fisheries, maintains an energy supply (hydro-
electric power), and is a potent source of both domestic
and industrial water supply. The lake is also one of the
primary sources of the river Nile (the longest river in
the world), which could be viewed as the hydrological
“placenta” and lifeline of semiarid countries down-
stream, which include the Sudan, Ethiopia, and Egypt.
Lake Victoria basin, situated within a shallow conti-
nental sag between the two arms of the East Africa
Corresponding author address: Dr. Richard Anyah, Center for
Environmental Prediction, Department of Environmental Sci-
ences, Rutgers, The State University of New Jersey, New Bruns-
wick, NJ 08901.
E-mail: anyah@cep.rutgers.edu
3588 MONTHLY WEATHER REVIEW VOLUME 134
© 2006 American Meteorological Society
MWR3266
Great Rift Valley system (Fig. 1), provides an environ-
ment conducive for complex interactions and integra-
tions between regionally induced and large-scale circu-
lation systems. These include topographic and lake-
induced circulations (Song et al. 2004; Anyah and
Semazzi 2004), circulations associated with widespread
variations in land cover/land use characteristics, mon-
soonal circulations associated with the thermal contrast
between land and the nearby Indian Ocean (Okeyo
1987; Mukabana and Pielke 1996), and the influence of
the humid Congo air mass emanating from the tropical
(Congo) rain forest (Anyamba 1984; Sun et al. 1999a).
The general climate of the lake basin ranges from a
modified equatorial type with substantial rainfall occur-
ring throughout the year, particularly over the lake and
its vicinity, to a semiarid type characterized by inter-
mittent droughts over some areas located even within
short distances from the lakeshore. However, the sea-
sonal rainfall is characterized by a bimodal regime:
MarchMay and OctoberDecember, locally known as
long and short rainy seasons, respectively. During the
short rainy season, rainfall is more widespread over the
entire lake basin during the month of November (As-
nani 1993). The seasonal cycle of rainfall is mainly con-
trolled by the northsouth migration of the intertropi-
cal convergence zone (ITCZ) across the region,
whereas the diurnal cycle is dominated by lake/land
breeze circulations. Large-scale precipitation over the
lake basin is mainly initiated from the southeastern
(eastern) Indian Ocean monsoon flow that transports
maritime moisture into the interior of East Africa. The
humid Congo air mass also significantly boosts convec-
tion and overall rainfall amounts received over the
western and northwestern parts of the lake (Anyamba
1984). However, a quasi-permanent trough that lingers
over Lake Victoria (Asnani 1993) due to locally in-
duced convection, orographic influence, and landlake
thermal contrast tends to favor convection over the
lake basin throughout the year. In terms of interannual
variability, the Lake Victoria basin climate is charac-
terized by periodic episodes of anomalously wet or dry
conditions associated with SST anomalies over equato-
rial Indian Ocean (e.g., 1961 floods) and also Pacific
Ocean SST perturbations (e.g., 1997/98 ENSO-related
floods).
However, the complex interactions between regional
and large-scale processes and their associated modulat-
ing influence on the regional climate are not yet well
investigated quantitatively. Furthermore, many previ-
ous investigators have primarily used empirical meth-
ods that are based mainly on the scarce observations
over the region and thus do not offer adequate scope to
sufficiently unveil the causeeffect relationships be-
tween regional climate variability and an individual
process or combination of processes. Such causeeffect
relationships may only be understood through the nu-
merical modeling approach that also accounts for the
lakeatmosphere coupled variability. Hence, in the
present study, we have applied a fully coupled regional
climatethree-dimensional lake modeling system
Princeton Ocean Model (RegCM3POM; Song et al.
2002, 2004; Blumberg and Mellor 1987; Anyah 2005) to
investigate how the interactions among local and large-
scale factors (processes) modulate the Lake Victoria
basin climate. A coupled modeling system provides a
rich test bed for examining the response of the lake
basin (and regional climate) to an individual process or
a combination of processes through a suite of system-
atic sensitivity simulations.
We investigate the role of complex topography
(steep terrain on both sides of the lake) and whether it
helps to organize, enhance, and/or suppress the devel-
opment of convective activity over the lake basin and
surrounding areas. Also, we have examined how
changes in lake surface characteristics, as typified by
the invasion of a large swath of the lake surface by
water hyacinth weed, alters the lakeatmosphere inter-
actions and eventually the lake basin climate. In addi-
tion, experiments are performed to investigate the ex-
tent to which large-scale moisture transported via the
prevailing monsoonal flows affects the overall climate
(rainfall pattern) over the lake basin. We focus on the
short rains due to the large spatial and temporal vari-
ability of rainfall experienced during this season com-
pared to the long rainy season (Nicholson 1996). As a
result, the regional climate during the short rains is
highly sensitive to perturbations in both large- and lo-
cal-scale climate systems (Sun et al. 1999a).
Mesoscale lake-effect circulations have been shown
to develop through complex interactions of an array of
environmental and geographic variables such as lake
air temperature differences, wind speed, lower-
tropospheric stability, lake shape, or bathymetry (Laird
et al. 2003a,b). McPherson (1970) established that the
distribution of the thermal surface gradient (i.e., caused
by shoreline configuration) and interaction with the
ambient wind may enhance or diminish the low-level
convergence and vertical circulation within the lake ba-
sins. This is consistent with the study by Hostetler and
Giorgi (1992), who noted that increased simulated pre-
cipitation in the presence of large inland lakes was due
to an increase in overlake evaporation that adds water
vapor to the prevailing flow systems, thereby enhancing
convective instability and precipitation associated with
such systems. This is more pronounced when the lake
DECEMBER 2006 ANYAH ET AL. 3589
FIG. 1. (a) Terrain height around Lake Victoria basin; areas higher than 1200 m are shaded (NKK high-
lands). (b) Horizontal cross section of the elevation around Lake Victoria basin along 1°S (KH represents
Kenya highlands).
3590 MONTHLY WEATHER REVIEW VOLUME 134
surface temperatures are much warmer than the over-
lying atmosphere.
Fraedrich (1972) made a significant contribution to
the understanding of this problem over Lake Victoria
in East Africa by investigating the dynamics of noctur-
nal circulations and the frequent development of thun-
derstorms over the northwestern/western sector(s) of
the lake using an analytical (climatological) model. The
dynamical processes linked to the nocturnal circulation
patterns were found in this study to be associated with
three-way interactions among the diurnal landlake
breeze circulations, the upslope or downslope moun-
tain or valley winds, and prevailing (large scale) mon-
soonal flow. The resultant nonlinearinteractions fa-
vor strong convergence over the western sector of the
lake at night but over land areas east of the lake catch-
ment during the day (Okeyo 1987). The diurnal and
monthly rainfall variability is also closely linked with
this flow pattern (Mukabana and Pielke 1996), with the
western sector receiving more rainfall than the eastern
sector in terms of the monthly mean totals. Asnani
(1993) also showed that rainfall over the lake is about
30%35% more than over the surrounding land areas.
Ba and Nicholson (1998) also used satellite data and
showed that the frequency of cold cloud duration over
the lake is about 25%30% greater than over the sur-
rounding land, although the estimated overlake rainfall
pattern was found to be highly correlated with basin-
wide rainfall (Mistry and Conway 2003). Thus, it is un-
likely that causes of the dramatic lake level fluctuations
experienced during the 1961 and 1997/98 flood episodes
over the region can be well understood without ac-
counting for the contribution from large-scale forcing
to regional rainfall variability. After all, the bimodal
rainfall pattern associated with the passage of the ITCZ
across eastern Africa is also well marked in the over-
lake rainfall variability (Nicholson 1998; Mistry and
Conway 2003), indicating that the rainfall pattern over
the lake basin is also partly driven by fluctuations in the
large-scale climatic conditions.
Recently, Song et al. (2002, 2004) developed a fully
coupled regional climate modeling system (RegCM2
POM) to simulate the coupled lakeatmosphere cli-
mate variability over Lake Victoria basin. They dem-
onstrated that adopting the traditional modeling ap-
proach in which the three-dimensional lake
hydrodynamics and thermodynamics are neglected, as
in cases where the lake is represented by a simple 1D
thermal equation (Sun et al. 1999b; Anyah and Semazzi
2004), is not entirely satisfactory for Lake Victoria.
Their results further demonstrated that the fully
coupled RegCM23D model simulated more realistic
climate conditions over eastern Africa and Lake Vic-
toria basin compared to observations and results from
the standard RegCM21D model adopted in Hostetler
et al. (1993), Sun et al. (1999b) and Anyah and Semazzi
(2004).
In the present study, the response of lake basin and
regional climate to nonlinear interactions among topo-
graphic-induced circulations, landlake breeze circula-
tions, and large-scale (prevailing) monsoonal flow is
investigated based on an enhanced and improved ver-
sion of the RegCM33D lake modeling system (Anyah
2005). Additionally, the impacts of changes in the
physical characteristics of the lake surface (as exempli-
fied with a recent invasion of a large swath of the lake
by water hyacinth) on the lake and basinwide climate
variability are examined. A brief description of the
coupled modeling system and the design of numerical
experiments is given in section 2. Results and discus-
sions are presented in section 3, while the summary and
conclusions are given in section 4.
2. Description of component models of the
RegCM3–POM system
a. RegCM3 model
RegCM3 is a three-dimensional primitive equation
atmospheric model (Pal et al. 2005, manuscript submit-
ted to Bull. Amer. Meteor. Soc.). It is an improved and
augmented version of the National Center for Atmo-
spheric Research (NCAR) RegCM2 (Giorgi et al.
1993a,b). The model uses a terrain-following (sigma
pressure) vertical coordinate system. The radiation
physics calculations are based on the NCAR Commu-
nity Climate Model version 3 (CCM3) GCM radiation
scheme (Kiehl et al. 1996) that includes a component
for computing the effects of greenhouse gases (NO
2
,
CH4, and CFCs), aerosols, and cloud ice. The land sur-
face physics parameterizations are based on the Bio-
sphereAtmosphere Transfer Scheme version 1e
(BATS1e: Dickinson et al. 1993) in which a standard
surface drag coefficient based on surface-layer similar-
ity theory is applied to calculate sensible heat, water
vapor (latent heat), and momentum fluxes.
Two major enhancements in the cloud and precipi-
tation processes have been implemented in RegCM3
since its earlier version, RegCM2. First, moisture is
prognosticated based on cloud water formation, advec-
tion and mixing by turbulence, and reevaporation and
conversion of cloud water into rain via a bulk auto-
conversion term. Second, the large-scale precipitation
parameterization, subgrid explicit moisture scheme
(SUBEX; Pal et al. 2000), is used to account for non-
convective clouds and model-resolved precipitation.
SUBEX accounts for the subgrid variability in clouds
DECEMBER 2006 ANYAH ET AL. 3591
by relating the average gridcell relative humidity to
cloud fraction and cloud water based on the formula-
tion by Sundqvist et al. (1989).
Further modifications and customization of RegCM3
for the equatorial eastern Africa domain were carried
out at North Carolina State Universitys Climate Simu-
lation Laboratory (Anyah 2005). These followed the
criteria applied in Sun et al. (1999a,b) during the first
application of NCAR RegCM2 for simulating the re-
gions climate and in Song et al. (2002) during the initial
development of a coupled RegCM2POM system for
Lake Victoria basin.
b. Three-dimensional Lake Victoria model based
on POM
The Princeton Ocean Model (Blumberg and Mellor
1987) is a three-dimensional, nonlinear primitive equa-
tion, finite difference ocean model. The model uses a
mode splitting technique to solve for the 2D barotropic
mode of the free surface currents and the 3D baroclinic
mode associated with the full three-dimensional tem-
perature, turbulence, and current structure. The baro-
tropic mode uses a shorter time step, while the baro-
clinic mode uses a relatively longer time step. Both
modes are constrained by the CourantFriedrichsLewy
(CFL) computational stability criteria. The model is
based on a split-explicit Eulerian scheme in which the
internal and external modes are integrated separately
to optimize computational efficiency. The model in-
cludes a 2.5 turbulence closure submodel (Mellor and
Yamada 1974) with an implicit time scheme for vertical
mixing. The equation of state (Mellor 1991) is used to
calculate density as a function of temperature, pressure,
and salinity. POM is currently one of the most widely
used ocean models and has also been extensively used
for studying coastal estuaries and inland lake basins. A
detailed description of POM can be found in Blumberg
and Mellor (1987). Modifications made to the POM
used in this study for freshwater Lake Victoria can be
found in Song et al. (2002, 2004) and Anyah (2005). The
coupling of the atmosphere and the lake is through the
fluxes of momentum, sensible heat, longwave radiation,
moisture, latent heat, and shortwave radiation (Fig. 2),
and details are available in Song et al. (2004).
c. Design of numerical experiments
We first performed RegCM3 model runs over a rela-
tively larger domain covering 15°N8°S, 10°–55°E, at a
spatial resolution of 60 km (i.e., Big Brother Experi-
ments) for the short rains seasons over a 5-yr period
(19982002). The initial and boundary conditions were
taken from the 6-hourly National Centers for Environ-
mental Prediction (NCEP) reanalysis (Kalnay et al.
1996). In these experiments, a simple 1D lake model
represented Lake Victoria. For the lake basin experi-
ments with the RegCM33D lake modeling system, the
model domain covered 5°N7°S, 25°E41°E, which en-
compasses the whole of the Lake Victoria catchment.
The initial and boundary conditions were derived from
the 6-hourly output of the Big Brother Experiments.
The physical mechanisms associated with interac-
tions between the lake and regional topography were
investigated by performing the following experiments:
Experiment 1 (CTRL): Control case in which the ter-
rain and land surface/land use characteristics are un-
altered.
Experiment 2 (TPALL): Land surface/land use char-
acteristics are as in CTRL, except the terrain height
all around the lake basin is smoothed such that the
maximum height is 1300 m above mean sea level
FIG. 2. Schematic of the coupled atmospherelake system
(modified from Song et al. 2004; LW represents longwave radia-
tion, SW is shortwave radiation,
is wind stress, Lq is latent heat,
and SH is sensible heat).
3592 MONTHLY WEATHER REVIEW VOLUME 134
(AMSL) and is just above the approximate lake sur-
face elevation (1200 m).
Experiment 3 (TPEA): Same as in TPALL, except
only the terrain between the lake and Indian Ocean is
smoothed.
Experiment 4 (LBOG): Similar to CTRL, except the
lake is replaced with bog/marsh (swamp) in order to
examine the basinwide climate response to changes
in lake surface characteristics. We believe that this
experiment mimics the ongoing changes in the lake
surface characteristics imposed by the invasion of a
large swath of the lake surface by water hyacinth.
Seven additional experiments were performed to in-
vestigate the role that large-scale moisture transported
via the four lateral boundaries of our model domain
(covering Lake Victoria basin) plays in the overall lake
basin rainfall variability.
Experiment 5 (Qe-20): Large-scale moisture [mixing
ratio (q)] along the eastern lateral boundary is re-
duced by 20%. This means that the incoming large-
scale moisture through the eastern boundary is rela-
tively drier than in the control case. This is done prior
to interpolating the boundary and initial conditions
onto the model grids in order to avoid any inconsis-
tencies in the physics and dynamics of the model dur-
ing integrations.
Experiment 6 (Qe-50): Same as in Qe-20, except
large-scale moisture is 50% drier than in the control.
Experiment 7 (Qe-80): Same as in Qe-20, except
large-scale moisture is 80% drier than in the control.
Experiment 8 (Qw-50): Same as in Qe-50, except
large-scale moisture forcing over the western bound-
ary is 50% drier than in the control.
Experiment 9 (Qs-50): Same as in Qe-20, except
large-scale moisture forcing over the southern
boundary is 50% drier than in the control.
Experiment 10 (Qn-50): Same as in Qe-20, except
large-scale moisture forcing over the northern
boundary is 50% drier than in the control.
Experiment 11 (Qa-50): Same as in Qe-20, except
large-scale moisture forcing over all four lateral
boundaries is 50% drier than in the control.
3. Results and discussion
a. Comparison of simulated and satellite rainfall
The RegCM33D lake coupled model-simulated di-
urnal, seasonal, and interannual variability of rainfall
are mainly evaluated using the National Aeronautics
and Space Administration (NASA) Tropical Rainfall
Measuring Mission (TRMM) satellite estimates (avail-
able online at http://disc.gsfc.nasa.gov/data/datapool/
TRMM_DP/). TRMM data over the lake are currently
some of the most comprehensive observational surro-
gates available for evaluating overlake simulated rain-
fall because of the lack of high-resolution in situ obser-
vations. The precipitation radar aboard the TRMM Mi-
crowave Imagery (TMI) satellite is also capable of
detecting below-cloud rainfall and is thus a suitable tool
for estimating rainfall over Lake Victoria that has a
strong diurnal cycle of cloud cover (Kummerow et al.
2000; Ba and Nicholson 1998).
The 5-yr average (19982002) of the simulated rain-
fall in November is compared to TRMM estimates av-
eraged over the same period and is presented in Fig. 3.
On the other hand, in Figs. 4a,b, 4c,d, and 4e,f, the
simulated and TRMM rainfall are compared in Novem-
ber 1998, 2000, and 2002, respectively. These three
years represent periods with relatively different large-
scale climatic regimes. The November 1998 short rains
season coincided with the mature phase of La Niña
conditions, while November 2002 coincided with mod-
FIG. 3. Five-year rainfall average in November (19982002) for
the (a) RegCM3POM simulation and (b) TRMM.
DECEMBER 2006 ANYAH ET AL. 3593
FIG. 4. Comparison between RegCM3POM simulated monthly mean rainfall and TRMM estimates over Lake Victoria basin in
November (a) 1998 model, (b) 1998 TRMM, (c) 2000 model, (d) 2000 TRMM, (e) 2002 model, and (f) 2002 TRMM.
3594 MONTHLY WEATHER REVIEW VOLUME 134
erate El Niño conditions. We treat November 2000 as a
near-normalseason over our study area. Further-
more, the month of November, which is the middle of
the short rains season, is generally associated with more
widespread rainfall over the lake basin (Asnani 1993),
and thus the rainfall characteristics during the month
are nearly representative of the overall rainfall pattern
and/or fluctuations during the entire season.
In November 1998 (Figs. 4a,b), the model generally
simulates more rainfall over the entire lake basin com-
pared to the TRMM. Large amounts of rainfall are
simulated over the western and northwestern sectors of
the lake, with the maximum peak located slightly to the
southwest. The TRMM rainfall maximum is located
over the southwestern section of the lake surface as
well, although the peak amount is about 180 mm com-
pared to over 280 mm simulated by the model, a dif-
ference of about 50%. In addition, the model simula-
tions show a secondary region of enhanced rainfall to
the east of the lake (approximately located over the
Nandi-Kericho-Kisii (NNK) highlands; see Fig. 1),
which is conspicuously missing in the TRMM estimates.
Since 1998 was the first year of the TRMM mission, it
has been noted that many errors in the algorithms used
in computing satellite rainfall estimates had not been
corrected (Kummerow et al. 2000). However, the in-
ability of the RegCM3POM coupled model to ad-
equately resolve rainfall over the elevated regions east
of Lake Victoria may also be associated with the mod-
els relatively coarse spatial resolution (20 km) as well
as a deficiency in the models precipitation physics,
leading to unrealistically high amounts of simulated
rainfall.
In Figs. 4c,d, both the simulated and TRMM rainfall
in November 2000 are characterized by higher rainfall
amounts over the western and northwestern sector of
the lake compared to the surrounding areas. In addi-
tion, the overall simulated rainfall pattern is reasonably
consistent with the TRMM estimates (Fig. 4c). How-
ever, the simulated rainfall pattern and amount is not in
good agreement with TRMM estimates over the high-
lands east of the lake. The exceptionally high amounts
of rainfall simulated are likely due to the deficiency of
the model dynamics/physics in capturing the rainfall
pattern over the high terrain east of the lake at the
present spatial resolution of 20 km. But the relatively
dry conditions (less rainfall) simulated over the hinter-
lands to the west of the lake qualitatively agree with the
low values seen in the TRMM estimates.
Figures 4e,f shows that the simulated rainfall in No-
vember 2002 over the northern and northwestern quad-
rant of the lake surface is in general agreement with
TRMM estimates, in terms of both the location of rain-
fall maximum as well as the spatial distribution. How-
ever, significant differences are evident between simu-
lated and TRMM rainfall over the southwestern sector
of the lake. TRMM rainfall estimates over the south-
western part of the lake surface are relatively higher
than the simulated amount by over 50%. However, the
simulated dry conditions over the land areas northeast
of the lake catchment are consistent with the TRMM
estimates (Fig. 4f).
In Figs. 5a,b, the simulated area-averaged rainfall
over the northern half of the lake (0°–1°S) and the
southern half (1°–2°S) are compared with the TRMM
estimates. Over the northern half of the lake, the model
overestimates the rainfall total in four out of the five
years (i.e., 1998, 2000, 2001, and 2002) compared to
FIG. 5. Overlake averaged rainfall in the (a) northern and (b)
southern half, and (c) overlake rainfall anomaly based on the
19982002 average.
DECEMBER 2006 ANYAH ET AL. 3595
TRMM estimates. On the other hand, over the south-
ern half, the simulated rainfall totals are lower than the
TRMM rainfall for three out of the five years (i.e., 1999,
2001, and 2002). However, the model and TRMM are
in relatively better agreement over the southern half of
the lake compared to the northern half. The negative
differences between the model and TRMM over both
halves in November 1998 (La Niña) are generally con-
sistent with previous studies, which have shown that
during La Niña events, most parts of East Africa in-
cluding the lake basin tend to experience below normal
rainfall amounts (e.g., Ogallo 1988; Nicholson 1996).
This is also apparent in Fig. 5c, which shows the
anomaly of the overlake rainfall based on a 5-yr (1998
FIG. 6. Overlay of 850-hPa mean flow on convective precipitation over the lake basin at
(a) 0300 and (b) 1500 LST.
3596 MONTHLY WEATHER REVIEW VOLUME 134
2002) mean. Both simulated and satellite (TRMM) es-
timated anomalies are negative, although the anomaly
in the satellite estimate is relatively larger.
Overall, the coupled RegCM3POM reasonably re-
produces the spatial and temporal variability of Lake
Victoria basin rainfall (Figs. 35), which is consistent
with TRMM satellite estimates. It is, however, clearly
evident that during all 5 yr covered by our simulations,
the simulated overlake rainfall amounts are higher than
over the surrounding land areas by almost 30%50%.
This is consistent with TRMM estimates, although the
simulated values are much more exaggerated.
b. Diurnal cycle of circulation and precipitation
over Lake Victoria
The mean circulation pattern and associated land or
lake breeze circulation driven convection (convective
precipitation) is given in Fig. 6. The peak of the noc-
turnal circulation generally occurs between midnight
and early morning hours, when the lake surface is much
warmer than the surrounding land areas (Fraedrich
1972). Conversely, the peak lake breeze circulation oc-
curs between late afternoon and early evening (Okeyo
1987), when the adjoining land surface is much warmer
than the lake surface. Figure 6a shows the simulated
mean circulation pattern in the morning at 0300 LST
for the month of November. The circulation pattern
over the lake basin is characterized by flow conver-
gence over the western sector of the lake consistent
with previous studies (e.g., Fraedrich 1972; Okeyo 1987;
Datta 1981; Song et al. 2002).
Figure 6b shows the mean circulation pattern over
the lake basin at 15 LST, when the lake breeze circu-
lation is expected to be fully developed. The model
clearly captures outflow from the lake surface and the
apparent location of the lake breeze front east of the
lake, around 35°E. However, the exact location of the
land breeze (nocturnal circulation) front is not clearly
resolved in the model simulations. The simulated land
breeze circulation is also relatively weaker and the ap-
FIG. 7. Three-hourly total rainfall over four different quadrants over the lake in November 1998.
DECEMBER 2006 ANYAH ET AL. 3597
proximate location of the land breeze front is confined
within the western rim of the lake surface. It is also
important to note that Lake Victoria forms a quasi-
permanent trough and is surrounded by high mountain
ranges on both sides, thus, often the statically stable air
over the lake during the day partly determines the in-
tensity of the lake breeze circulation. The simulated
convective precipitation associated with the times of
peak landlake breeze is consistent with the simulated
circulation patterns. It can be seen that a significant
amount of rainfall is simulated over the western sector
of the lake around 3 LST, but outside the lake surface
over the land areas and east of the lake basin (over the
NNK highlands; Fig. 1) around 15 LST.
Figures 7, 8, and 9 show the total simulated and
TRMM estimated diurnal rainfall variability over four
different quadrants of the lake surface for November
1998, November 2000, and November 2002, respec-
tively. The four quadrants are 1°1°square boxes
(10,000 km
2
) over the lake surface and are designated
as northwest quadrant (NW: 0°–1°S, 32°E 33°E),
southwest quadrant (SW: 1°–2°S, 32°E33°E), north-
east quadrant (NE: 0°–1°S, 33°E34°E), and southeast
quadrant (SE: 1°–2°S, 33°E34°E). We use 3-h rainfall
totals to derive the diurnal cycles since the TRMM es-
timates were not available at any finer temporal reso-
lution during this study. While the simulated rainfall
patterns during each of the 3-h intervals for November
during the three years are slightly different, the diurnal
cycles are quite similar. For example, the diurnal cycles
of rainfall over all four quadrants are characterized by
nocturnal peaks (between midnight and early morning
hours), with rainfall drastically diminishing over the en-
tire lake surface thereafter.
These results are consistent with those of previous
studies by Datta (1981), Ba and Nicholson (1998), and
Song et al. (2002), all of which showed that the diurnal
cycle of rainfall over a limited sample of lake island
FIG. 8. Same as in Fig. 7, but for November 2000.
3598 MONTHLY WEATHER REVIEW VOLUME 134
stations and lakeshore stations over different parts of
the lake is characterized by nocturnal peaks. Evidently,
the overlake rainfall is mainly experienced during late
night into early morning hours when there is uplift or
rising motion over the relatively warmer lake surface
associated with land breeze circulation. During the day,
there is sinking motion and flow divergence (Fig. 6)
over the lake surface due to reversal in the thermal
gradient between the lake and surrounding land areas
(lake breeze circulation). The lowest rainfall amounts
are simulated over the SE quadrants for all three years.
The 850-hPa (300 m above lake surface elevation)
simulated mean temperature gradient between the lake
and land at 15 LST is in the order of 6°C, while at 3 LST
it is much weaker, about 3.5°C. This could be due to the
fact that nocturnal convection leads to rain-cooled air
over the lake, which minimizes the lakeland tempera-
ture gradient.
It is evident from the simulated results that there is
reasonable agreement between the model and TRMM
estimates over southwestern and northwestern quad-
rants (Figs. 7c, 8c, and 9c) for all the November months
in 1998, 2000, and 2002. At the same time, the simulated
diurnal cycle over the southeastern sector of the lake is
not consistent with TRMM estimates during all three
years. Overall, the simulated diurnal rainfall variability
is relatively more consistent with TRMM satellite esti-
mates in 2000 (near-normal season) than during the
1998 and 2002 seasons. This is possibly a manifestation
that large-scale climate anomalies (El Niño and La
Niña events) are superimposed even in the diurnal vari-
ability of the lake basin climate and weather patterns.
c. Contribution of large-scale moisture to the lake
basin rainfall variability
A suite of sensitivity experiments (described in sec-
tion 2c) were performed by systematically reducing the
amount of large-scale moisture advected into the lake
basin through the four lateral boundaries. Figure 10
shows the response of the simulated lake basin rainfall
FIG. 9. Same as in Fig. 7, but for November 2002.
DECEMBER 2006 ANYAH ET AL. 3599
to changes in large-scale moisture advected into the
interior domain via the eastern lateral boundary lo-
cated across the western Indian Ocean. This experi-
ment was specifically designed to attempt to quantify
some of the evidence shown in previous observational/
empirical studies that rainfall variability over eastern
Africa during the short rains season is significantly in-
fluenced by the SST gradients (moisture anomalies)
over the equatorial Indian Ocean (Saji et al. 1999; Mu-
tai and Ward 2000). Figures 10ac show simulated rain-
fall variability in November 2000 when lateral bound-
ary moisture forcing was reduced by 20%, 50%, and
80%, respectively. To avoid any instabilities/inconsis-
tencies in both the dynamics and physics of the model
and uncertainties in interpreting the model results, the
lateral boundary moisture (mixing ratio) was reduced
(dried) before being interpolated onto the model grids
in the interior domain.
It is evident from our results that the simulated rain-
fall amount reduces dramatically as the amount of
moisture entering the interior domain through the east-
ern boundary is systematically reduced. As would be
expected, it is also apparent that the eastern side of
the lake exhibits more sensitivity to the moisture re-
duction (changes). This is also consistent with the fact
that the prevailing monsoonal flow over the lake basin
is easterly most of the year. When large-scale mois-
ture over the eastern boundary is reduced by half, the
corresponding decrease in the simulated rainfall com-
pared to the control was quite dramatic over the entire
lake basin. The overlake averaged rainfall also gener-
ally reduces significantly (by about 50%) compared
with the control (Table 1). With the large-scale mois-
ture entering the interior domain (lake basin) through
the eastern boundary reduced by 80% (Fig. 10c), the
reduction in the simulated rainfall amount is quite dra-
matic over the entire lake basin, except over a small
region in the western-to-southwestern sector of the lake
surface.
When large-scale moisture entering the western
boundary of our domain is reduced by 50% (Qw-50;
Fig. 11b), the corresponding reduction in the simulated
rainfall is negligible compared to the control experi-
ment. However, a rather surprising feature is the slight
increase in the amount of area-averaged simulated rain-
fall over the lake surface, which possibly indicates the
nonlinear response and feedback between the local and
large-scale moisture sources over the lake basin. Simi-
larly, when large-scale moisture entering the southern
boundary is reduced by 50% (Qs-50; Fig. 11c), the re-
FIG. 10. Simulated rainfall (mm) over Lake Victoria basin with
large moisture through the eastern boundary reduced by (a) 20%,
(b) 50%, and (c) 80%.
TABLE 1. Response of lake basin rainfall to large-scale moisture
anomaly.
Expt Qw-50 Qe-50 Qn-50 Qs-50 Qa-50 CTRL
Overlake
rainfall
(mm)
338.1 120.2 321.2 315.3 120.9 328.4
%363 2.3 3.9 63 0
3600 MONTHLY WEATHER REVIEW VOLUME 134
duction in the total overlake rainfall is negligible
(4%). Our results also show that the simulated rain-
fall averaged over the lake surface in the Qn-50 experi-
ment is only less than the control by about 3%, almost
similar to the Qs-50 experiment (Table 1), although the
reduction in the simulated rainfall amount seems to be
confined over the northern parts of the lake catchment.
However, the dominant impact of the large-scale mois-
ture entering the eastern boundary is demonstrated in
the results of Qa-50 (i.e., large-scale moisture via all
four lateral boundaries is reduced by 50%; Table 1),
where the corresponding changes in the rainfall pattern
and amounts over the entire basin are more similar to
those of the Qe-50 experiment (Fig. 10b).
d. Effects of lower-boundary forcing on Lake
Victoria basin climate variability
To isolate and understand some of the mechanisms
associated with interactions between topographic and
lake-induced circulations and their impacts on lake ba-
sin climate variability, we performed three experiments
where
(i) the high terrain all around the lake basin was
smoothed leaving maximum terrain height at 1300
m (TPALL), which is just above the lake surface
elevation;
(ii) only the terrain between the lake and Indian
Ocean (TPEA) was smoothed, as in (i);
(iii) effects of changes in the lake surface characteris-
tics on lake basin climate were investigated by re-
placing the lake surface with marsh/swamp (LBOG).
Our analysis of the response/sensitivity of lake basin
climate to the changes in lower-boundary forcing (de-
scribed in the list above) is based mainly on simulated
rainfall and vertical (omega) velocity. Unfortunately,
while the simulated overlake rainfall in the control run
is compared with TRMM satellite estimates, no obser-
FIG. 11. Simulated monthly mean rainfall over the lake basin in November (19982002) with large-scale moisture advected across
different boundaries reduced by 50% in the (a) control, (b) northern boundary, (c) southern boundary, and (d) western boundary
experiments.
DECEMBER 2006 ANYAH ET AL. 3601
vations of the vertical velocity or related fields were
available during this study to evaluate the simulated
fields. Figures 12a,b show the simulated mean vertical
velocity (November 2000) at 3 LST and 15 LST in the
TPALL experiment. Figure 12a shows that the western
sector of the lake is characterized by strong upward
motion, with maximum vertical velocity located ap-
proximately over the center of the lake (33°E). The
rising motion extends over a very deep column, from
the lake surface (900 hPa) to around 300 hPa. This
upward motion is apparently associated with very deep
convection and produces significant amounts of rainfall
over the western sector as consistent with the control
simulations shown in Fig. 3. The eastern side of the lake
is, however, characterized by net subsidence. This flow
pattern is consistent with the expected diurnal circula-
tion and rainfall variability over the lake basin associ-
ated with lake- and land- breeze circulations (Figs. 6, 7,
8, and 9). Nevertheless, the region of the strongest ris-
ing motion is located over the center of the lake. Thus
in the absence of strong downslope winds over the high-
lands east of the lake (due to smoothed terrain), the
eastern branch of the land breeze is weakened and does
not extend farther to the west of the lake surface. Con-
versely, the western branch becomes relatively stronger
and extends more offshore into the interior of the lake
than in the control. This is consistent with the vertical
velocity difference (TPALL CTRL) presented in Fig.
12b that shows net subsidence over the western sector
of the lake and net uplift over the center of the lake.
The likely mechanism that contributes to the above
vertical flow characteristics can be explained as follows:
Smooth topography east of the lake leads to weaker
downslope flow. With weaker downslope winds, less
cooler air from the mountain tops is transported down
the valley to help in enhancing the lakeland thermal
gradient (i.e., weaker land breeze circulation) as com-
pared to the control. When the eastern branch of the
FIG. 12. Vertical (omega) velocity profiles in the TPALLexperiments
at 0300 LST for (a) TPALL and (b) TPALL CTRL.
FIG. 13. Same as Fig. 12, but at 1500 LST.
3602 MONTHLY WEATHER REVIEW VOLUME 134
land breeze is relatively weaker than normal, the west-
ern branch of the nocturnal circulation then becomes
relatively stronger and penetrates into the interior of
the lake as shown in Fig. 12a.
In the late afternoon (Fig. 13a), smooth topography
east of the lake catchment (TPALL) results in much
weaker upward motion. The rising motion (collocated
with the apparent lake breeze front) is also located
around 34.5°E, close to the lakeshore. A rather unex-
pected feature is the subsidence over the highlands far-
ther east of the lake (around 35°E). This possibly sug-
gests that the late afternoon thunderstorms experi-
enced over the NKK highlands (located about 70 km
east of Lake Victoria; Fig. 1) are significantly influ-
enced by a combination of orographic lifting of the
moisture embedded in the prevailing monsoon circula-
tions and moisture transport from Lake Victoria via
lake breeze circulation. The vertical velocity difference
(TPALL CTRL) in Fig. 13b also show that there is
net subsidence over the highlands east of the lake
(around 35°E) and net upward motion along the east-
ern lakeshore.
In the early morning (3 LST; Fig. 14a), when the
nocturnal (land breeze) circulation is expected to be at
its peak, the TPEA simulations show rising motion over
the center of the lake. However, the upward motion is
weak (only reaching a maximum of about 0.1 m s
1
at
the center of the lake). Also, the subsidence (sinking
motion) to the east of the lake is very weak. The dif-
ference between TPEA and CTRL experiments (Fig.
14b) indicates net upward motion over the center of the
lake and net subsidence (sinking motion) over the west-
ern rim of the lake. The results also suggest that the
horizontal branch of land breeze circulation at the sur-
face originating from the western side of the lake is
relatively stronger than it is in the control run. Two
possible physical mechanisms may be responsible for
the simulated vertical velocity pattern. First, the steep
topography east of the lake influences the strength of
FIG. 14. Same as Fig. 12, but for TPEA experiment.
FIG. 15. Same as Fig. 12, but for TPEA experiment at 1500 LST.
DECEMBER 2006 ANYAH ET AL. 3603
the eastern branch of the nocturnal circulation (land
breeze). The cold downslope (katabatic) flow helps to
decrease the surrounding air temperature as it speeds
down the topography. This enhances the landlake
thermal gradient and in turn intensifies the land breeze
circulation.
In the late afternoon (Fig. 15a), the ascending motion
to east of the lake is relatively weaker and more con-
fined to the shoreline (34°E) in the TPEA compared
with the control run. The difference between the verti-
cal velocities in TPEA CTRL shown in Fig. 15b also
indicates that there is net upward motion confined
along the eastern rim of the lake and net subsidence
(sinking motion) located slightly inland (between 34.5°
and 35.5°E). Possible mechanisms associated with the
differences in vertical motion between TPEA and
CTRL simulations could be explained as follows: The
reduced terrain height over the highlands east of the
lake results in weak upward motion (in the absence of
elevated heating). However, given the relatively weak
wind speeds over the lake (westerly winds), the lake
breeze front does not appear to extend farther inland
east of the lake as in the control but remains confined
along the lake perimeter. Furthermore, the lower the
terrain height over the east of the lake, the more pen-
etrative the prevailing easterlies into the lake basin,
leading to flow convergence closer to the lakeshore as
opposed to the control run. This implies that the el-
evated heating over the NNK highlands (Fig. 1) mostly
triggers strong upslope flow during the day. This may
play two major roles with respect to the strength, hori-
zontal extent, and convective activity associated with
the lake breeze circulation. First, the elevated heating
over the highlands to the east of the lake triggers strong
upslope flow, which then creates favorable conditions
for entraining (inducing) flow from the lake and thus
makes the horizontal branch of the lake breeze extend
farther inland than it would otherwise be. However,
FIG. 16. Same as Fig. 12, but for LBOG experiment. FIG. 17. Same as Fig. 12, but for LBOG experiment at 1500 LST.
3604 MONTHLY WEATHER REVIEW VOLUME 134
this still depends on the magnitude of the lakeland
thermal gradient. Second, due to orographic lifting and
its influence on the horizontal extent of lake breeze
explained above, the region of strong vertical motion
(lake breeze front) forms more inland in the control
case than in the case with less steep topography that
does not generate strong upslope winds.
e. Effects of changes in the physical characteristics
of Lake Victoria on basinwide climate variability
The impact of changes in the lake surface conditions
on the basinwide rainfall variability is examined by re-
placing the lake with bog/marsh (swamp; LBOG ex-
periment). Given the recent invasion of Lake Victoria
by the water hyacinth weed, this experiment tests a
realistic scenario of the lake surface conditions.
The simulated response of the lake basin circulation
at 0300 LST is characterized by weak upward motion
over the western sector of the lake (Fig. 16a) that ex-
tends from around the lake surface to about a 400-hPa
level. On the other hand, a relatively strong subsidence
is simulated to the east of the lake, extending from the
surface up to around 500 hPa. The LBOG minus CTRL
simulations show a net sinking motion over the center
of the lake (Fig. 16b) and extend over a very deep layer
(900200 hPa). This is consistent with the fact that in
the LBOG experiment, less heat is retained during the
day compared to the CTRL experiment because of
changes in surface albedo, surface roughness, and ther-
mal capacity. Consequently, at night, the lakeland
thermal contrast that triggers the nocturnal circulation
is significantly suppressed. Hence, the nocturnal circu-
lation that is normally characterized by convergence
over the western sector of the lake (control) is sup-
pressed remarkably.
In the late afternoon, the upward motion to the east
of the lake is enhanced in the LBOG experiment (Fig.
17a) compared to the control simulations. This is pos-
sibly due to the fact that unlike the dynamic lake, bog/
marsh conditions trigger stronger evaporation since
they do not retain most of the heat received from solar
radiation. This leads to stronger evaporative cooling
that consequently creates a sufficient landlake thermal
gradient, in turn driving a lake-breeze-like circulation.
This is consistent with results (see Fig. 20) showing that
the mean monthly evapotranspiration (mm) averaged
over the lake surface in LBOG is less than in CTRL by
almost 40 mm over the western sector of the lake. This
can be attributed to the overall changes in the surface
roughness, albedo, and thermal capacity of the lake
(marsh).
f. Anomalous rainfall response to lower-boundary
forcing
The simulated rainfall differences between LBOG,
TPALL, TPEA, and CTRL in November 2000 are
shown in Fig. 18. In Fig. 18a, the LBOG minus CTRL
FIG. 18. Sensitivity of Lake Victoria basin rainfall to surface
boundary conditions for (a) LBOG CTRL, (b) TPALL
CTRL, and (c) TPEA CTRL in November 2000.
DECEMBER 2006 ANYAH ET AL. 3605
is characterized by rainfall deficit over the western half
of the lake and rainfall surplus over the eastern shore-
line of the lake. However, immediately outside the lake
perimeter to the east, there is little or no difference
between the LBOG and CTRL simulations. The most
striking feature is that over the immediate land areas
east of the lake, the simulated amount of rainfall is
almost twice the amount in the control simulation.
Three possible mechanisms could be responsible for
the increase (decrease) in the rainfall amount simulated
over the eastern (western) shoreline when the lake is
replaced with bog/marsh. First, the significant reduction
in the simulated rainfall over the western sector could
be attributed to the anomalous subsidence over the
lake surface associated with the nocturnal circulation
pattern shown in Fig. 16. The subsidence of motion
over the lake during late night through early morning
hours could be due to the fact that the bog/marsh has
relatively lower thermal capacity. This means that the
lakewill cool faster at night, significantly suppressing
nocturnal circulation as a consequence of a weaker
landlake thermal gradient.
The second mechanism may be attributed to in-
creased evaporation over the lake surface during the
day. This leads to evaporative cooling, thus creating a
sufficient thermal gradient with the surrounding land
areas, which in turn drives a relatively strong circula-
tion (lake breeze like) directed toward the warmer sur-
rounding. However, this circulation is not as strong as
the lake breeze circulation simulated in the control and
thus has limited horizontal extent. This explains why
the approximate location of the lake breeze front (also
collocated with the region of maximum precipitation) is
close to the eastern shoreline in the LBOG simulations,
while in the CTRL it is located farther inland.
The third mechanism that may limit (enhance) the
penetration of the horizontal branch of the lake breeze
circulation inland in the LBOG experiment is due to
increased (reduced) nocturnal convection. Intense noc-
turnal convection leads to more precipitation over the
lake surface (western sector), thus triggering outflow
from the lake due to the rain-cooled overlake air. This
in return determines how far the horizontal branch of
the lake breeze circulation will penetrate inland in the
late afternoon.
It is also evident in Figs. 18b,c that when the maxi-
mum terrain height all around Lake Victoria is
smoothed (TPALL), less rainfall is simulated over the
eastern border and northern and northwestern sectors
of the lake compared to the control. On the other hand,
relatively more rainfall is simulated over the western
border of the lake, but confined just along the rim of
the lake (32°E). As shown earlier in section 3c, the
eastern sides of the lake catchment tend to benefit a lot
from moisture entering the lake basin through the east-
ern lateral boundary (western Indian Ocean). How-
FIG. 19. Differences in the distribution of simulated rainfall across the Lake Victoria
basin between CTRL and TPALL, TPEA, and LBOG experiments.
3606 MONTHLY WEATHER REVIEW VOLUME 134
ever, it is also evident from the vertical velocity fields
shown earlier in Figs. 1114 that orographic lifting over
the eastern side of the lake may also help to organize
and enhance convection. The mountain breeze (up-
slope winds) to the east of the lake creates favorable
conditions for the interactions between large-scale
moisture transported via the prevailing easterly mon-
soons and moisture from the lake transported via the
landlake breeze circulations. This interaction is signifi-
cantly suppressed when the terrain height is reduced.
However, over the western sector of the lake, the re-
duced terrain height to the east of the lake basin results
in relatively more large-scale moisture penetrating into
the lake basin, especially during nocturnal land breeze
circulations, and thus enhances precipitation over the
western half of the lake.
The rainfall anomalies associated with land surface
forcing are also exhibited in the horizontal (westeast)
cross section of rainfall distribution over the lake basin
(Fig. 19). It is apparent that the steep topography to the
east of the lake does influence the amount of rainfall
simulated over the entire basin, whereas the topogra-
phy to the west side of the lake only imposes a negli-
gible impact on the diurnal variability of rainfall over
the lake basin, at least during the short rains season.
Comparisons among LBOG, TPEA, TPALL, and
CTRL confirm that lake surface conditions significantly
influence the distribution and pattern over the lake ba-
sin. This is also manifested in the simulated evapotrans-
piration differences between LBOG and CTRL runs
(Fig. 20), where it can be seen that the mean monthly
evapotranspiration (mm) averaged over the lake sur-
face in LBOG is less than CTRL by almost 40 mm over
the western sector of the lake. This can be attributed to
the overall changes in the surface roughness, albedo,
and thermal capacity of the lake (marsh). Furthermore,
though the LBOG case experiences stronger evapora-
tion during the day, the nighttime component is signifi-
cantly suppressed. Thus, on the mean, the evapotrans-
piration in the control is relatively larger than in the
LBOG (Fig. 20).
4. Summary and conclusions
In this study, the downscaling ability of a fully
coupled RegCM3POM system to reproduce the mul-
tiscale variability of Lake Victoria basin climate and the
associated physical mechanisms has been demon-
FIG. 20. Difference in mean evapotranspiration rate (mm) in LBOG CTRL in
November 2000.
DECEMBER 2006 ANYAH ET AL. 3607
strated. In general, the mean monthly rainfall simulated
over the lake basin, particularly over the lake surface, is
shown to reasonably agree with the satellite estimates
(TRMM data). The simulated diurnal cycle of rainfall
over the four quadrants of the lake shows a coherent
pattern with the TRMM diurnal rainfall fluctuations.
Rainfall peaks occur between midnight and early morn-
ing hours, and thereafter, a general decline in both
simulated and TRMM rainfall is witnessed over the
lake and areas within the immediate catchment. How-
ever, the simulated diurnal cycle tends to have midnight
through early morning rainfall peak a little earlier than
in the TRMM estimates.
Two mechanisms can be inferred from our model
results regarding interactions between topographic and
lake-induced circulations and the consequent impact on
lake basin rainfall variability:
(i) The steep topography east of Lake Victoria gener-
ates very strong downslope (katabatic) winds at
night since the air over the mountain top is rela-
tively colder than the air down the valley. As the
colder air from the mountain tops mixes with air
down the valley and air over land areas adjacent to
the lake, the thermal gradient between the land
surface and the lake is enhanced. Consequently, a
relatively stronger land breeze circulation is gener-
ated. The stronger the land breeze circulation, the
more favorable it is for strong convection and pre-
cipitation to develop over the central and western
sectors of the lake. The opposite is the case when
the terrain height is smoothed, as is also clearly
evident in our simulations.
(ii) The horizontal extent of the late afternoon lake
breeze circulation is also affected by steep topog-
raphy east of the lake. Due to high elevation, the
mountain tops heat faster during the day than the
surroundings. This creates a thermal low that in
turn induces significant upslope (anabatic) winds
on both sides of the mountain. The stronger the
upslope flow on the lee side of the mountains east
of the lake, the more this flow would tend to pull
(entrain) the lake breeze front farther inland. Hence,
when the terrain height is reduced/smoothed, the
horizontal extent of the lake breeze circulation also
reduces. This leads to significant reduction in the
simulated afternoon rainfall associated with the lake
breeze circulation in areas far away from the lake.
Thus, the simulated rainfall tends to be confined
along the eastern shoreline, but does not extend
farther inland compared to the control simulation.
The simulated response of the nocturnal circulation
to changes in the physical characteristics of the lake
(i.e., replacing lake with marsh) is characterized by
weak upward motion over the western sector of the
lake. This is consistent with the fact that when the lake
is replaced with marsh (or water hyacinth), it retains
less heat during the day due to changes in surface al-
bedo, surface roughness, and thermal capacity. Conse-
quently, at night, the lakeland thermal contrast that
triggers the nocturnal circulation is significantly sup-
pressed. Conversely, in the late afternoon, the upward
motion to the east of the lake (near the shore) is more
enhanced compared to the control simulations, possibly
due to the fact that the marsh conditions trigger stron-
ger evaporation since they do not retain most of the
heat received from solar radiation. This leads to stron-
ger evaporative cooling that consequently creates a suf-
ficient landlake thermal gradient, in turn driving a
lake-breeze-like circulation.
The apparent role of the large-scale moisture trans-
ported via the prevailing easterly monsoons in enhanc-
ing precipitation over the lake basin is also clearly
manifested in our simulations. This is evident in the
simulated rainfall patterns and by the amounts in the
runs with large-scale moisture entering the four lateral
boundaries of the interior domain (Lake Victoria ba-
sin) systematically reducing or increasing. A more strik-
ing result is that large-scale moisture advected through
the eastern boundary (located across the equatorial
western Indian Ocean) enhances overlake rainfall, es-
pecially over the surrounding land areas to the east and
southeast of the lake. However, a rather surprising re-
sult is that there is negligible influence on the basinwide
(particularly overlake) rainfall variability because of
changes in large-scale moisture entering the lake basin
domain through the western, northern, and southern
boundaries.
Acknowledgments. The valuable comments made by
Jared Bowden, Robert Mera, Neil Davis, and Baris
Onol on the original manuscript are highly appreciated.
We would also like to thank the three anonymous re-
viewers for their insightful comments that led to signifi-
cant improvement of the original manuscript. This re-
search was supported by NSF Grant ATM-0438116.
The model experiments were performed on the Na-
tional Center for Atmospheric Research (NCAR) su-
percomputers and at the North Carolina State Univer-
sity High Performance Center. NCAR is sponsored by
the National Science Foundation.
REFERENCES
Anyah, R. O., 2005: Modeling the variability of the climate system
over Lake Victoria Basin. Ph.D. dissertation, North Carolina
3608 MONTHLY WEATHER REVIEW VOLUME 134
State University, 287 pp. [Available online at http://www.lib.
ncsu.edu/theses/available/etd-07202005-123806/.]
——, and F. H. M. Semazzi, 2004: Simulation of the response of
Lake Victoria basin climate to lake surface temperatures.
Theor. Appl. Climatol., 79, 5569.
Anyamba, E. K., 1984: Some aspects of the origin of rainfall de-
ficiency in East Africa. Proc. Regional Scientific Conf. on
GATE, WAMEX and Tropical Meteorology, Dakar, Senegal,
WMO, 110112.
Asnani, G. C., 1993: Tropical Meteorology. Vols. 1 and 2. Indian
Institute of Tropical Meteorology, 1012 pp.
Ba, M. B., and S. E. Nicholson, 1998: Analysis of convective ac-
tivity and its relationship to rainfall over the Rift Valley
Lakes of East Africa during 198390 using the meteosat in-
frared channel. J. Appl. Meteor., 37, 12501264.
Blumberg, A. F., and G. L. Mellor, 1987: A description of a three-
dimensional coastal ocean model. Three-Dimensional Coastal
Ocean Models, N. Heaps, Ed., Amer. Geophys. Union, 116.
Datta, R. R., 1981: Certain aspects of monsoonal precipitation
dynamics over Lake Victoria. Monsoon Dynamics, J. Light-
hill and R. P. Pearce, Eds., Cambridge University Press, 333
349.
Dickinson, R. E., A. Henderson-Sellers, and P. J. Kennedy, 1993:
BiosphereAtmosphere Transfer Scheme (BATS) version 1e
as coupled to the NCAR Community Model. NCAR Tech.
Note NCAR/TN-387STR, 72 pp.
Fraedrich, K., 1972: A simple climatological model of the dynam-
ics and energetics of the nocturnal circulation at Lake Vic-
toria. Quart. J. Roy. Meteor. Soc., 98, 332335.
Giorgi, F., M. R. Marinucci, and G. T. Bates, 1993a: Development
of a second-generation regional climate model (RegCM2).
Part I: Boundary-layer and radiative transfer processes. Mon.
Wea. Rev., 121, 27942813.
——,——,——, and G. De Canio, 1993b: Development of a
second-generation regional climate model (RegCM2). Part
II: Convective processes and assimilation of lateral boundary
conditions. Mon. Wea. Rev., 121, 28142832.
Hostetler, S., and F. Giorgi, 1992: Use of a regional atmospheric
model to simulate lake-atmosphere feedbacks associated
with Pleistocene Lakes Lahontan and Bonnevile. Climate
Dyn., 7, 3944.
——, G. T. Bates, and F. Giorgi, 1993: Interactive nesting of a lake
thermal model within a regional climate model for climate
studies. J. Geophys. Res., 98, 50455057.
Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Re-
analysis Project. Bull. Amer. Meteor. Soc., 77, 437471.
Kiehl, J. T., J. J. Hack, G. B. Bonan, B. A. Boville, B. P. Briegleb,
D. L. Williamson, and P. J. Rasch, 1996: Description of the
NCAR Community Climate Model (CCM3). NCAR Tech.
Note NCAR/TN-420STR, 152 pp.
Kummerow, C., and Coauthors, 2000: The status of the Tropical
Rainfall Measuring Mission (TRMM) after two years in or-
bit. J. Appl. Meteor., 39, 19651982.
Laird, N. F., D. A. R. Kristovich, and J. E. Walsh, 2003a: Idealized
model simulations examining the mesoscale structure of win-
ter lake-effect circulations. Mon. Wea. Rev., 131, 206221.
——, J. E. Walsh, and D. A. R. Kristovich, 2003b: Model simula-
tions examining the relationships of lake-effect morphology
to lake shape, wind direction, and wind speed. Mon. Wea.
Rev., 131, 21022111.
McPherson, R. D., 1970: A numerical study of the effect of a
coastal irregularity on a sea breeze. J. Appl. Meteor., 9, 767
777.
Mellor, G. L., 1991: An equation of state for numerical models of
oceans and estuaries. J. Atmos. Oceanic Technol., 8, 609611.
——, and T. Yamada, 1974: A hierarchy of turbulence closure
models for planetary boundary layers. J. Atmos. Sci., 31,
17911806.
Mistry, V. V., and D. Conway, 2003: Remote forcing of East Af-
rican rainfall and relationships with fluctuations in levels of
Lake Victoria. Int. J. Climatol., 23, 6789.
Mukabana, J. R., and R. A. Pielke, 1996: Investigating the influ-
ence of synoptic-scale monsoonal winds and mesoscale circu-
lations on diurnal weather patterns over Kenya using a me-
soscale numerical model. Mon. Wea. Rev., 124, 224244.
Mutai, C. C., and M. N. Ward, 2000: East African rainfall and the
tropical circulation/convection on intraseasonal to interan-
nual time scales. J. Climate, 13, 39153939.
Nicholson, S. E., 1996: A review of climate dynamics and climate
variability in eastern Africa. The Limnology, Climatology
and Paleoclimatology of the East African Lakes, T. C.
Johnson and E. Odada, Eds., Gordon and Breach, 2556.
——, 1998: Historical fluctuations of Lake Victoria and other
lakes in the northern Rift Valley of East Africa. Environ-
mental Change and Response in East African Lakes, J. T.
Lehman, Ed., Kluwer, 735.
Ogallo, L. A., 1988: Relationship between seasonal rainfall in East
Africa and Southern Oscillation. Int. J. Climatol., 8, 3143.
Okeyo, A. E., 1987: The influence of Lake Victoria on the con-
vective activities over the Kenya Highlands. J. Meteor. Soc.
Japan, 65, 689695.
Pal, J. S., E. E. Small, and E. A. B. Eltahir, 2000: Simulation of
regional-scale energy and water budgets: Representation of
sub-grid scale cloud and precipitation processes in RegCM. J.
Geophys. Res., 105, 29 57929 594.
Saji, N. H., B. N. Goswami, P. N. Vinayachandran, and T. Yama-
gata, 1999: A dipole mode in the tropical Indian Ocean. Na-
ture, 401, 360363.
Song, Y., F. H. M. Semazzi, and L. Xie, 2002: Development of a
coupled regional climate simulation model for the Lake Vic-
toria Basin. The East African Great Lakes, Limnology, Pale-
olimnology and Biodiversity, E. Odada and G. Olago, Eds.,
Gordon and Breach, 141154.
——,——,——, and L. J. Ogallo, 2004: A coupled regional cli-
mate model for Lake Victoria basin of East Africa. Int. J.
Climatol., 24, 5775.
Sun, L., F. H. M. Semazzi, F. Giorgi, and L. A. Ogallo, 1999a:
Application of the NCAR Regional Climate model to East-
ern Africa. Part 1: Simulation of the short rains of 1988. J.
Geophys. Res., 104, 65296548.
——,——,——, and ——, 1999b: Application of the NCAR Re-
gional Climate model to Eastern Africa. Part 2: Simulation of
interannual variability of short rains. J. Geophys. Res., 104,
65496562.
Sundqvist, H., E. Berge, and J. E. Krisjansson, 1989: Condensa-
tion and cloud parameterization studies with a mesoscale nu-
merical weather prediction model. Mon. Wea. Rev., 117,
16411657.
DECEMBER 2006 ANYAH ET AL. 3609
... Figure 1 presents the three ROIs of this study for the observation of convective wind gusts at the sea surface over Lake Victoria (Africa), the Gulf of Guinea and offshore Gabon and Angola, and the Gulf of Mexico, with many buoys and weather stations installed by the NOAA and its industrial partners. Figure 1a shows Lake Victoria imaged by Sentinel-1B in descending direction mode, 28-29 January 2020, at around 03:00 UTC, corresponding to the peak in convection over the lake [19,20]. Sentinel-1A takes images of Lake Victoria at around 16:00 UTC in the ascending direction mode, but only a few peaks in convection occur at that time. ...
... Sentinel-1-Observed Convective Winds over Lake Victoria Figure 2 illustrates a mesoscale surface wind pattern observed on Sentinel-1 images over Lake Victoria, 28 January 2020, at around 03:36:34-03:37:10 UTC. This observation time corresponds to the peak in convection between 00:00 and 06:00 UTC [19,20]. The mesoscale wind pattern in Figure 2b spreads on 2 • latitude (about 250 km), from 0.2 • N to 1.8 • S, and wind pattern intensity varies from 12 m/s to 20 m/s, and some hot spots can reach 25 m/s. ...
Article
Full-text available
This paper shows the observation and estimation of convective wind gusts by different satellite sensors at the C-band (Sentinel-1 SAR) and L-band (ALOS-1 SAR and SMAP radiometer) over Lake Victoria, the Gulf of Guinea, and the Gulf of Mexico. These areas are significantly impacted by deep convection associated with strong surface winds and heavy rainfall. In particular, the collocation of Sentinel-1 and SMAP images enables the observation of the movement of surface wind gusts corresponding to that of deep convective clouds. The convective wind intensity estimated from Sentinel-1 and SMAP data varies from 10 to 25 m/s. Additionally, we present an agreement in the observation of deep convective clouds, dynamics, and strong surface winds by different satellite sensors, including Meteosat geostationary (GEO), Aeolus Lidar, and Sentinel-1 SAR, respectively. We also evaluate the estimated convective wind gusts by comparison with the in situ measurements of the weather stations installed in the Gulf of Mexico, where deep convection occurs regularly. The result shows an agreement between the two wind sources estimated and measured. Likewise, the peaks of the measured wind gusts correspond to the occurrence of deep convective clouds observed by the GOES-16 GEO satellite.
... However, only a few studies have addressed indices of extreme rainfall. For example, Aguilar et al. (2009) reported a decreasing trend in station-based heavy rainfall in western central Africa between 1955 and2006. General Circulation Models (GCMs) are commonly used to simulate future changes in mean and extreme rainfall on a global scale with spatial resolutions of 1.5 • × 1.5 • and coarser. ...
... orography of that region and the generally reduced ability of climate models to simulate rainfall in mountain rangesalthough this is represented much better in RCMs than in GCMs (Rummukainen, 2016;Nicholson et al., 2021). According to Anyah et al. (2006) and Thiery et al. (2015), rainfall in the rift valley is regulated by the combined effects of mountain/valley winds and land/lake breezes. Nicholson et al. (2021) found that the mesoscale convective systems, which develop in rift valley regions, are the primary factor for rainfall variability. ...
Article
Full-text available
Extreme precipitation has been threatening many sectors of human society and is likely to intensify with global warming. In the present study, we have analysed the impact of future climate change on daily mean rainfall and heavy rainfall on seasonal and annual scales in the Democratic Republic of Congo (DRC) by using ten long-term runs of high-resolution regional climate models. We initially assessed the performance of each run and the multimodel ensemble mean in simulating the daily mean rainfall (PRE), the maximum one-day rainfall (Rx1day), the simple rainfall intensity index (SDII), the count of days when rainfall is greater than or equal to 20 mm (RR20mm), the total rainfall when the daily rainfall exceeds the 95th percentile of the wet-day rainfall (R95p) and the maximum number of consecutive days with more than or equal to 1 mm (CWD). Next, we examined the future changes of these indices, focusing on the multi-model ensemble mean and spread under the high emission scenario RCP8.5. The time frames considered are the mid and end of the twenty-first century (2035–2065 and 2070–2100, respectively). The results indicate that the performance of REMO2015-MPI-ESM was close to the multi-model ensemble mean in representing the mean rainfall and most heavy rainfall indices, while CanRCM4- CamESM2 was identified as the worst performing model. The key finding of this study is that the multi-model ensemble mean project no significant change regarding the daily mean rainfall throughout the year and across all seasons by the middle of the 21st century, except of the western region of the country where a decrease is projected. Simultaneously, Rx1day, SDII, RR20mm, and R95p are projected to decrease almost everywhere during all seasons. Moreover, a consistent decrease in the number of wet days is projected. Focusing on the end of the century, the multi-model ensemble mean project an overall decrease in daily mean rainfall, especially in the western region of the DRC, with a more pronounced effect during MAM. The increase in Rx1day, SDII, RR20mm, and R95p, along with a decrease in CWD, is amplified in this period. These findings are useful for predicting the potential threats of precipitation-related diseases and natural hazards, as well as for designing climate-resilient infrastructure and socioeconomic activities in the DRC.
... The sensitivity was significant but not simple due to the region's complex atmospheric hydrodynamics. Anyah et al. (2006) used a regional atmospheric model coupled with a 3D lake model (Song et al. 2004) to find that the Eastern Rift Mountains ( Fig. 1) are particularly influential, with downslope flow interacting with mesoscale circulations generated by lake/land temperature contrasts. Finney et al. (2020) reported substantial improvements in the simulation of rainfall over East Africa when convection is resolved at a resolution of 4.5 km. ...
... A number of papers report that there is a "nighttime" precipitation maximum over Lake Victoria (e.g., Anyah et al. 2006;Thiery et al. 2015;Williams et al. 2015;Finney et al. 2019). Van de Walle et al. (2020a) compare peak rainfall times in their CP model, ERA4, and five observational precipitation datasets. ...
Article
Full-text available
The diurnal cycle of rainfall in the Lake Victoria Basin of East Africa results from the super positioning of regional circulations driven by lake/land temperature differences and topography in the presence of the large-scale flow. Analysis of a triple-nested regional model simulation with a convective-permitting inner domain shows how these elements combine to produce the observed regionality of precipitation, including diurnal cycling, in boreal fall. A single diurnal rainfall peak occurs throughout the basin, but the time of maximum rainfall varies within the basin. The rainy period over the lake begins with precipitation over the northern part of the lake near 02Z (0500 LT), so it is not simply nighttime rain driven by lake/land breezes. Onset of the rainy period occurs only when low geopotential heights over the relatively warm lake cause a southward branch of the Turkana Jet to form. The formation of the jet depends on nighttime cooling over the Eastern Rift Mountains, which acts to direct the large-scale, moist flow around the topography. Topography also plays a role in the daytime rainy period over land in the Lake Victoria Basin. Moist divergence over the lake supports convergence and precipitation over the shore regions. Precipitation rates are twice the magnitude over the eastern shore compared with the western shore because daytime warming of the high elevations of the Eastern Rift Mountains allows the large-scale easterly flow to go over the mountains. This easterly flow converges with the lake/land circulation and doubles precipitation rates over the eastern shore.
... This region is also occupied by numerous large interior lakes like Lake Victoria, rift valleys, and tropical forests. The Intertropical Convergence Zone (ITCZ), the nearby Indian and Atlantic Oceans, the monsoon, sea surface temperatures, and the African jet streams, further influence the climate and weather in this region (Anyah et al., 2006;Nicholson, 2018). Also the river basins like the River Congo Basin, East African highlands, which play a significant role by recurving the boreal summer circulation among others, are additional factors that affect the climate and weather in this region. ...
... Following Jin et al. (2009), the ZTD seasonal variations have peak values in spring which is in the months of MAM for stations close to the equator. This seasonal cycle in the African tropical region is created by changes in the Hadley circulation with a twice a year migration of the Intertropical Convergence Zone (ITCZ) from south to north and backwards from north to south across the region (Anyah et al., 2006). This might also be linked to the double peaks in ZTD, in the months of MAM and SON. ...
... The climate of the GHA region exhibits considerable spatial heterogeneity due to complex topographic variations across the region (e.g., Sepulchre et al. 2006;Hession and Moore 2011). In addition to orographic effects and other factors such as strong land-sea gradients (e.g Anyah et al. 2006;Thiery et al. 2015), the seasonal rainfall climatology is highly influenced by the north-south displacement of the tropical rainbelt, referred to as the Intertropical Convergence Zone (ITCZ) (Nicholson 2018). Figure 1 shows the climatology of seasonal mean rainfall derived from CHIRPSv2 data (see Sect. 2) for the period from 1981 to 2017. ...
Article
Full-text available
This works proposes a probabilistic framework for rainy season onset forecasts over Greater Horn of Africa derived from bias-corrected, long range, multi-model ensemble precipitation forecasts. A careful analysis of the contribution of the different forecast systems to the overall multi-model skill shows that the improvement over the best performing individual model can largely be explained by the increased ensemble size. An alternative way of increasing ensemble size by blending a single model ensemble with climatology is explored and demonstrated to yield better probabilistic forecasts than the multi-model ensemble. Both reliability and skill of the probabilistic forecasts are better for OND onset than for MAM and JJAS onset where forecasts are found to be late biased and have only minimal skill relative to climatology. The insights gained in this study will help enhance operational subseasonal-to-seasonal forecasting in the GHA region.
... The climate of this region exhibits considerable spatial heterogeneity due to complex topographic variations across the region (e.g., Sepulchre et al., 2006;Hession and Moore, 2011). In addition to orographic effects and other factors such as strong land-sea thermal contrasts (e.g, Anyah et al., 2006;Thiery et al., 2015), the seasonal rainfall climatology is highly influenced by the north-south displacement of the tropical rain belt (Nicholson, 2018). Figure 1 shows seasonal mean rainfall derived from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS: Funk et al. (2015)) data climatology for the period 1981-2017. ...
Article
Full-text available
The Greater Horn of Africa (GHA) is highly vulnerable to climate and weather hazards such as drought, heat waves, and floods. There is a need for accurate seasonal forecasts to prepare for risks (such as crop failure and reduced grazing opportunities) and take advantage of favorable conditions (rains arrive on time and where they are needed) when they arise. As such, information at finer spatial scales than current state‐of‐the‐art global prediction models can provide is needed. Dynamical downscaling is one method employed to obtain information at finer scales. However, providers of seasonal forecasts over the GHA are hampered by limited computational resources and time constraints that restrict the number of global model ensemble members that can be downscaled. Some ensemble subselection criteria must be employed. Currently, providers take an uninformed (or random) approach. Specifically, forecasters simply take the first ensemble member of the global model seasonal forecast ensemble. However, recent work, focused on decadal prediction, has shown that subselecting global model ensemble members in an informed way, that is, according to their ability to reproduce key features of the climate system, results in improved predictions. This emerges from the fact that the climate system is likely more predictable than our models would have us believe. Seeing an opportunity for improvement, we apply the same thinking to the seasonal context and assess several procedures for subselecting ensemble members from seasonal predictions with exchangeable members. Such informed subselections have the potential to take advantage of information in an ensemble of global simulations that might be missed by random selection. Three subselection methods are investigated, with a focus on seasonal predictions for rainfall over GHA. We demonstrate that informed subselection leads to systematically higher skill than random subselection. We find that (1) for small subsample sizes, such as would be chosen for dynamical downscaling and/or downstream impact modeling, informed subselection nearly always outperforms random subselection, (2) subselecting based on well‐known teleconnections benefits those seasons in which such pathways are active, such as OND and JJAS, and (3) k$$ k $$‐means subselection outperforms random selection for small ensemble sizes throughout all seasons, including the notoriously difficult to predict MAM season. These techniques require only input that is available at the time of the forecast release and are easy to apply operationally.
... The thermal contrast contributes to convection over the lake during the night while restraining it during the day 18,19 . Additionally, the katabatic and anabatic winds induced by the mountainous areas in the LVB modify precipitation characteristics 20 while storms on land influence the region's temperature, humidity, and atmospheric conditions-resulting in strong nightly storms over Lake Victoria 19 . The mountainous areas in and around the LVB strongly influence the flow of large-scale moisture-carrying winds, resulting in modulated precipitation patterns 9,21 . ...
Article
Full-text available
This paper presents an analysis of future precipitation patterns over the Lake Victoria Basin, East Africa, using bias-corrected CMIP6 model projections. A mean increase of about 5% in mean annual (ANN) and seasonal [March–May (MAM), June–August (JJA), and October–December (OND)] precipitation climatology is expected over the domain by mid-century (2040–2069). The changes intensify towards the end of the century (2070–2099) with an increase in mean precipitation of about 16% (ANN), 10% (MAM), and 18% (OND) expected, relative to the 1985–2014 baseline period. Additionally, the mean daily precipitation intensity (SDII), the maximum 5-day precipitation values (RX5Day), and the heavy precipitation events—represented by the width of the right tail distribution of precipitation (99p–90p)—show an increase of 16%, 29%, and 47%, respectively, by the end of the century. The projected changes have a substantial implication for the region—which is already experiencing conflicts over water and water-related resources.
... Generally, the wind circulation over East Africa is mainly governed by the migration of the ITCZ (Dominique Nganga and Gaston Samba, 2011) and the effect of orography and rift valley systems [75,76] . The monthly mean wind fields at 700 hPa from the ERA-5 reanalysis and the simulations for May, June, and July are shown in Figure 9 to depict the transport of aerosols to downwind regions, as the transport among processes contributed to the variation in PM2.5 concentrations from the budget analysis in Figure 7. ...
Article
Most previous studies on surface PM2.5 concentrations over East Africa focused on short-term in situ observations. In this study, the WRF-Chem model combined with in situ observations is used to investigate the seasonal variation in surface PM2.5 concentrations over East Africa. WRF-Chem simulations are conducted from April to September 2017. Generally, the simulated AOD is consistent with satellite retrieval throughout the period, and the simulations depicted the seasonal variation in PM2.5 concentrations from April to September but underestimated the concentrations throughout the period due to the uncertainties in local and regional emissions over the region. The composition analysis of surface PM2.5 concentrations revealed that the dominant components were OIN and OC, accounting for 80% and 15% of the total concentrations, respectively, and drove the seasonal variation. The analysis of contributions from multiple physical and chemical processes indicated that the seasonal variation in surface PM2.5 concentrations was controlled by the variation in transport processes, PBL mixing, and dry and wet deposition. The variation in PM2.5 concentrations from May to July is due to wind direction changes that control the transported biomass burning aerosols from southern Africa, enhanced turbulent mixing of transported aerosols at the upper level to the surface and decreased wet deposition from decreased rainfall from May to July.
... The climate in the Lake Victoria basin belongs to the constantly humid tropics, receiving an average annual rainfall between 800 and 2000 mm, precipitated mainly during two annual rainfall seasons of March-May and October-December (Anyah et al., 2006;Wasige et al., 2013). The altitude in the Lake Victoria drainage basin varies from 1135 m above mean sea level (AMSL) at the lake surface to an average elevation of 2700 m AMSL and up to a maximum elevation of 4000 m AMSL in the hilly to mountainous areas of the Uganda country segment (Kizza et al., 2009;Ministry of Water and Environment et al., 2016). ...
Chapter
Lake Victoria fills a sag basin and is the largest freshwater body in Africa by surface area with the Winam Gulf occupying the east-west trending Nyzanza Rift in Kenya. Direct rainfall onto the lake accounts for 82% of water inputs and is controlled by topography and seasonal movements of the Inter Tropical Convergence Zone and Congo Air Boundary. The lake is very dilute compared with other large East African water bodies with a pH of 8.0–8.6. Stratification develops periodically through the year with eutrophication having lowered hypolimnetic oxygen levels. Photosynthesis in surface water increased in recent decades with algal concentrations five times greater than in the 1950s and nitrogen acting as a limiting nutrient. Phytoplankton compositions have changed in response to anthropogenic pollution with diatoms generally giving way to cyanobacteria. In contrast, zooplankton (copepods, cladocerans, rotifers) have experienced less compositional change. Major changes in fish reflect climate change and stratification, anthropogenic eutrophication and deliberate introductions of predator species. Diatomaceous sediments dominate on the lake floor with variable organic contents. Vivianite-rich nodules are present in some areas. Seismic data indicates about 60 m of later Quaternary sediments with multiple erosion surfaces are present below the lake floor. Cores record late Pleistocene desiccation.
Article
Full-text available
The Tropical Rainfall Measuring Mission (TRMM) satellite was launched on 27 November 1997, and data from all the instruments first became available approximately 30 days after the launch. Since then, much progress has been made in the calibration of the sensors, the improvement of the rainfall algorithms, and applications of these results to areas such as data assimilation and model initialization. The TRMM Microwave Imager (TMI) calibration has been corrected and verified to account for a small source of radiation leaking into the TMI receiver. The precipitation radar calibration has been adjusted upward slightly (by 0.6 dBZ) to match better the ground reference targets; the visible and infrared sensor calibration remains largely unchanged. Two versions of the TRMM rainfall algorithms are discussed. The at-launch (version 4) algorithms showed differences of 40% when averaged over the global Tropics over 30-day periods. The improvements to the rainfall algorithms that were undertaken after launch are presented, and intercomparisons of these products (version 5) show agreement improving to 24% for global tropical monthly averages. The ground-based radar rainfall product generation is discussed. Quality-control issues have delayed the routine production of these products until the summer of 2000, but comparisons of TRMM products with early versions of the ground validation products as well as with rain gauge network data suggest that uncertainties among the TRMM algorithms are of approximately the same magnitude as differences between TRMM products and ground-based rainfall estimates. The TRMM field experiment program is discussed to describe active areas of measurements and plans to use these data for further algorithm improvements. In addition to the many papers in this special issue, results coming from the analysis of TRMM products to study the diurnal cycle, the climatological description of the vertical profile of precipitation, storm types, and the distribution of shallow convection, as well as advances in data assimilation of moisture and model forecast improvements using TRMM data, are discussed in a companion TRMM special issue in the Journal of Climate (1 December 2000, Vol. 13, No. 23).
Article
A three-dimenstional numerical model incorporating cumulus parameterisation scheme is used to investigate the impact of Lake Victoria breeze on the initiation and development of the convective activities over the Kenya highlands. This mesoscale model is in flux form and has 37 grid points in the x-direction, 25 grid points in the y-direction and 13 vertical σ-levels. The model is nested with horizontal resolution of the fine mesh of 40 km and of coarse mesh of 120 km. The model is formulated for an equatorial atmosphere where the Coriolis parameter f∼0. Two experiments are conducted using the model. The first experiment excludes the lake while the second experiment includes the lake in the runs. Results show that there is stronger flow and hence a resulting stronger covergence in the lower layers above the highlands in the second experiment than in the first experiment. It is found from these results that on the average the results from experiment 2 show that the lower atmosphere above the highlands is more moist by 2 g/kg and warmer by 5°C than that shown by results from experiment 1. The precipitation was increased by about 1.2 cm in the day-time over the highlands. The overall condesnational heating was found to increase by 5°C/day. These results suggest that Lake Victoria is a major source of energy and moisture which are both responsible for the strong conventive activities over the Kenva highlands.
Article
For the tropical Pacific and Atlantic oceans, internal modes of variability that lead to climatic oscillations have been recognized1, ², but in the Indian Ocean region a similar ocean–atmosphere interaction causing interannual climate variability has not yet been found³. Here we report an analysis of observational data over the past 40 years, showing a dipole mode in the Indian Ocean: a pattern of internal variability with anomalously low sea surface temperatures off Sumatra and high sea surface temperatures in the western Indian Ocean, with accompanying wind and precipitation anomalies. The spatio-temporal links between sea surface temperatures and winds reveal a strong coupling through the precipitation field and ocean dynamics. This air–sea interaction process is unique and inherent in the Indian Ocean, and is shown to be independent of the El Niño/Southern Oscillation. The discovery of this dipole mode that accounts for about 12% of the sea surface temperature variability in the Indian Ocean—and, in its active years, also causes severe rainfall in eastern Africa and droughts in Indonesia—brightens the prospects for a long-term forecast of rainfall anomalies in the affected countries.
Article
The rainfall over Lake Victoria is greatly influenced by the seasonal migration of the intertropical convergence zone (ITCZ), which is part of the monsoonal cycle over the Indian Ocean. Rainfall statistics during the rainy months April and November show that: a maximum occurs on the western side of the lake in the early morning; and maxima occur on the eastern side in the late afternoon and around midnight. -from Author
Article
This paper describes the fluctuations of Lakes Victoria, Stefanie, Turkana and Naivasha over the last two centuries. A chronology of Lake Victoria back to 700 A.D. is also developed. These chronologies are based mainly on oral traditions of the local peoples, as described in various historical sources, and on reports of European visitors, settlers and explorers. In some cases actual historical levels have been reported. The historical fluctuations are meshed with the modern record to provide a picture of the fluctuations in lake levels until the late twentieth century. The chronologies for Victoria and Stefanie contain much new material, permitting higher temporal resolution and better quantitative assessments, as well as extension of chronologies to the beginning of the 19th century. For Lakes Turkana and Naivasha, chronologies published by other authors are expanded and compared with those for Victoria, Stefanie and other African lakes. A long term chronology for Lake Victoria is developed using the record of the summer Nile flow. These lakes show remarkably similar trends. The most important of these trends are low levels during the first half of the 19th century, very high stands in the last decades of the 19th century, and around the turn of the century a rapid fall to 20th century levels. The lakes returned to relatively high stands in the 1960s, but these generally ended in the 1970s.
Article
Presents an approximate form of the UNESCO standard equation of state which is an equation for density whose independent variables are salinity, potential temperature and pressure. Shows that the approximate form is suitable for numerical models of oceans and estuaries. (C.J.U.)