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How fast are the oceans warming?

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Abstract

Observational records of ocean heat content show that ocean warming is accelerating
INSIGHTS |
PERSPECTIVES
sciencemag.org SCIENCE
PHOTO: ALICIA NAVIDAD/CSIRO
By Lijing Cheng1, John Abraham2,
Zeke Hausfather3, Kevin E. Trenberth4
Climate change from human activities
mainly results from the energy imbal-
ance in Earth’s climate system caused
by rising concentrations of heat-trap-
ping gases. About 93% of the energy
imbalance accumulates in the ocean
as increased ocean heat content (OHC). The
ocean record of this imbalance is much less
affected by internal variability and is thus
better suited for detecting and attributing
human influences (1) than more commonly
used surface temperature records. Recent
observation-based estimates show rapid
warming of Earth’s oceans over
the past few decades (see the
figure) (1, 2). This warming has
contributed to increases in rain-
fall intensity, rising sea levels,
the destruction of coral reefs,
declining ocean oxygen levels,
and declines in ice sheets; gla-
ciers; and ice caps in the polar
regions (3, 4). Recent estimates
of observed warming resemble
those seen in models, indicat-
ing that models reliably project
changes in OHC.
The Intergovernmental Panel
on Climate Change’s Fifth As-
sessment Report (AR5), pub-
lished in 2013 (4), featured five
different time series of histori-
cal global OHC for the upper
700 m of the ocean. These time
series are based on different
choices for data processing (see
the supplementary materials). Interpreta-
tion of the results is complicated by the
fact that there are large differences among
the series. Furthermore, the OHC changes
that they showed were smaller than those
projected by most climate models in the
Coupled Model Intercomparison Project 5
(CMIP5) (5) over the period from 1971 to
2010 (see the figure).
Since then, the research community has
made substantial progress in improving
long-term OHC records and has identified
several sources of uncertainty in prior mea-
surements and analyses (2, 68). In AR5, all
OHC time series were corrected for biases
in expendable bathythermograph (XBT)
data that had not been accounted for in
the previous report (AR4). But these cor-
rection methods relied on very different as-
sumptions of the error sources and led to
substantial differences among correction
schemes. Since AR5, the main factors influ-
encing the errors have been identified (2),
helping to better account for systematic er-
rors in XBT data and their analysis.
Several studies have attempted to im-
prove the methods used to account for
spatial and temporal gaps in ocean tem-
perature measurements. Many traditional
gap-filling strategies introduced a conser-
vative bias toward low-magnitude changes
(9). To reduce this bias, Domingues et al.
(10) used satellite altimeter observations to
complement the sparseness of in situ ocean
observations and update their global OHC
time series since 1970 for the upper 700 m.
Cheng et al. (2) proposed a new gap-filling
method that used multimodel simulations
to provide an improved prior estimate and
error covariance. This method allowed
propagation of information from data-rich
regions to the data gaps (data are available
for the upper 2000 m since 1940). Ishii et
al. (6) completed a major revision of their
estimate in 2017 to account for the previ-
ous underestimation and also extended the
analysis down to 2000 m and back to 1955.
Resplandy et al. (11) used ocean warming
outgassing of O2 and CO2, which can be
isolated from the direct effects of anthro-
pogenic emissions and CO2 sinks, to inde-
pendently estimate changes in OHC over
time after 1991.
These recent observation-based OHC esti-
mates show highly consistent changes since
the late 1950s (see the figure). The warm-
ing is larger over the 1971–2010 period than
reported in AR5. The OHC trend for the up-
per 2000 m in AR5 ranged from
0.24 to 0.36 W m−2 during this
period (4). The three more con-
temporary estimates that cover
the same time period suggest a
warming rate of 0.36 ± 0.05 (6),
0.37 ± 0.04 (10), and 0.39 ± 0.09
(2) W m−2. [Note that the analy-
sis in Domingues et al. (10) is
combined with that in Levitus
et al. (12) for 700 to 2000 m to
produce a 0 to 2000 m time se-
ries.] All four recent studies (2,
6, 10, 11) show that the rate of
ocean warming for the upper
2000 m has accelerated in the
decades after 1991 from 0.55 to
0.68 W m−2 (calculations pro-
vided in the supplementary
materials).
Multiple lines of evidence
from four independent groups
thus now suggest a stronger
observed OHC warming. Although climate
model results (see the supplementary ma-
terials) have been criticized during de-
bates about a “hiatus” or “slowdown” of
global mean surface temperature, it is in-
creasingly clear that the pause in surface
warming was at least in part due to the
redistribution of heat within the climate
system from Earth surface into the ocean
interiors (13). The recent OHC warming
estimates (2, 6, 10, 11) are quite similar
to the average of CMIP5 models, both for
the late 1950s until present and during the
1971–2010 period highlighted in AR5 (see
the figure). The ensemble average of the
models has a linear ocean warming trend
of 0.39 ± 0.07 W m−2 for the upper 2000 m
1International Center for Climate and Environment Sciences,
Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China. 2School of Engineering,
University of St. Thomas, 2115 Summit Avenue, St. Paul, MN,
USA. 3Energy and Resources Group, University of California,
Berkeley, 310 Barrows Hall, Berkeley, CA 94720, USA. 4National
Center for Atmospheric Research, Post Office Box 3000,
Boulder, CO 80307, USA. Email: chenglij@mail.iap.ac.cn
CLIMATE CHANGE
How fast are the oceans warming?
Observational records of ocean heat content show that ocean warming is accelerating
128 11 JANUARY 2019 • VOL 363 ISSUE 6423
Scientists deploy an Argo float. For over a decade, more than 3000 floats have
provided near-global data coverage for the upper 2000 m of the ocean.
DA_0111PerspectivesR2.indd 128 3/1/19 11:18 AM
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GRAPHIC: N. CARY/SCIENCE
from 1971–2010 compared with recent ob-
servations ranging from 0.36 to 0.39 W m−2
(see the figure).
The relatively short period after the
deployment of the Argo network (see the
photo) in the early 2000s has resulted
in superior observational coverage and
reduced uncertainties compared to earlier
times. Over this period (2005–2017) for
the top 2000 m, the linear warming rate
for the ensemble mean of the CMIP5
models is 0.68 ± 0.02 W m−2, whereas ob-
servations give rates of 0.54 ± 0.02 (2),
0.64 ± 0.02 (10), and 0.68 ± 0.60 (11) W
m−2. These new estimates suggest that
models as a whole are reliably projecting
OHC changes.
However, some uncertainties remain,
particularly for deep and coastal ocean re-
gions and in the period before the deploy-
ment of the Argo network. It is important to
establish a deep ocean observation system
to monitor changes below 2000 m (14). It is
also essential to improve the historical re-
cord, for example, by recovering undigitized
OHC observations.
Simulations of future climate use a set
of scenarios or plausible radiative forcing
pathways based on assumptions about de-
mographic and socioeconomic development
and technological changes (5). Two scenarios
shown in the figure project a substantial
warming in the 21st century. For the Rep-
resentative Concentration Pathways (RCP)
2.6 scenario, the models project an ocean
warming (0 to 2000 m) of 1037 zettajoules
(ZJ) (~0.40 K) at the end of the 21st century
(mean of 2081–2100 relative to 1991–2005);
this pathway is close to the Paris Agreement
goal of limiting global warming to well be-
low 2°C. For the RCP8.5 scenario, a business-
as-usual scenario with high greenhouse gas
emissions, the models project a warming
of 2020 ZJ (~0.78 K). This level of warming
would have major impacts on ocean ecosys-
tems and sea level rise through thermal ex-
pansion; 0.78 K warming at 2100 is roughly
equal to a sea level rise of 30 cm. This is in
addition to increased sea level rise caused by
land ice melt.
The fairly steady rise in OHC shows that
the planet is clearly warming. The pros-
pects for much higher OHC, sea level, and
sea-surface temperatures should be of con-
cern given the abundant evidence of effects
on storms, hurricanes, and the hydrologi-
cal cycle, including extreme precipitation
events (3, 15). There is a clear need to con-
tinue to improve the ocean observation and
analysis system to provide better estimates
of OHC, because it will enable more refined
regional projections of the future. In ad-
dition, the need to slow or stop the rates
of climate change and prepare for the ex-
pected impacts is increasingly evident. j
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ACKNOWLEDGMENTS
This study is supported by the National Key R&D Program of
China (2017YFA0603202). The National Center for Atmospheric
Research (NCAR) is sponsored by the National Science
Foundation. We thank the climate modeling groups (listed in
table S1) for producing and making available their model output,
and we acknowledge J. Fasullo for calculating OHC in CMIP5
models and making the data available to the authors. Institute
of Atmospheric Physics data and the CMIP5 time series are
available at http://159.226.119.60/cheng/.
SUPPLEMENTARY MATERIALS
www.sciencemag.org/content/363/6423/128/suppl/DC1
10.1126/science.aav7619
Updated OHC estimates compared
with AR5. The three most recent observation
-based OHC analyses give ocean warming
rates (depths from 0 to 2000 m) for
1971–2010 that are closer to model results
than those reported in AR5. This increases
condence in the model projections (see
supplementary materials for more detail).
The error bars are 90% condence intervals.
1960 1970 1980 2010 2020 2040 2060 2080
0
500
1000
1500
2000
2500
Ocean heat content anomaly (0–2000m)
Baseline: 1991–2005
RCP 8.5
Domingues et al. + Levitus et al. (10, 12)
Cheng et al. (2)
Ishii et al. (6)
Resplandy et al. (11)
200
–200
21001990 2000
1990 1995 2000 2005 2010 2015
0
50
100
150
200
250
300
CMIP5
Zetajoules
Cheng et al.
(monthly, Jan. 1990 to Sep. 2018)
Mean OHC
change
2081–2100
Kelvin
0.6
1
0.2
0
0.4
0.8
–0.1
RCP 2.6
0.1
Warming rate (W m )
–2
0
0.2
0.4
0.3
0.1
0.5
AR5 (4)
AR5 period (1971-2010), 0-2000m
CMIP5 (5)(10, 12)(6)(2)
11 JANUARY 2019 • VOL 363 ISSUE 6423 129
Past and future ocean heat content changes
Annual observational OHC changes are consistent with each other and consistent with the ensemble means of
the CMIP5 models for historical simulations pre-2005 and projections from 2005–2017, giving confidence in
future projections to 2100 (RCP2.6 and RCP8.5) (see the supplementary materials). The mean projected OHC
changes and their 90% confidence intervals between 2081 and 2100 are shown in bars at the right. The inset
depicts the detailed OHC changes after January 1990, using the monthly OHC changes updated to September
2018 [Cheng et al. (2)], along with the other annual observed values superposed.
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How fast are the oceans warming?
Lijing Cheng, John Abraham, Zeke Hausfather and Kevin E. Trenberth
originally published online January 10, 2019DOI: 10.1126/science.aav7619
(6423), 128-129.363Science
ARTICLE TOOLS http://science.sciencemag.org/content/363/6423/128
MATERIALS
SUPPLEMENTARY http://science.sciencemag.org/content/suppl/2019/01/09/363.6423.128.DC1
CONTENT
RELATED http://science.sciencemag.org/content/sci/363/6431/eaax1875.full
REFERENCES http://science.sciencemag.org/content/363/6423/128#BIBL
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Örgütlerin kurumsal sürdürülebilirlik yolunda çalışanlarını göz ardı etmemeleri gerekir. Bu bağlamda presenteizmin tespit edil�mesi, önlenmesi ve örgütsel bir sorun olmaktan çıkarılması örgütleri daha ileriye taşıyacaktır. Dolayısıyla presenteizmin azaltılması veya önlenmesi işletmeleri ekonomik açıdan olumlu yönde etkileyecektir. Kurumsal sürdürülebilirliğin her aşamasında beşeri sermaye olan in�san kaynağı yani çalışanlar göz ardı edilemeyeceğinden sosyal açıdan ve çevresel boyutları bakımından da presenteizmin azaltılması sürdü�rülebilirliğin sağlanmasında önemli rol oynayacaktır. Kurumsal sürdürülebilirlik içeride yalın bir sistem kurulma�sını isterken dışarıda tüm paydaşlar ile uyumlu bir şekilde faaliyetle�rin sürdürülmesini de gerektirir. Bu durumun sağlanmasında gerekli şartlardan biri örgütte presenteizm gibi iş gücünü olumsuz etkileye�cek durumların kontrol altına alınmasıdır. Burada kavramlar kendi başlarına da örgütü etkilerken birlikte ele alındıklarında da karşılıklı olarak bir ilişki sarmalı oldukları düşünülmektedir. Çünkü kurumsal sürdürülebilirlik örgütün varlığını sürdürmek olduğundan presente- 477 izmin sağlanması ile mümkün iken yine presenteizm de kurumsal sür�dürülebilirlik sağlanmak istendiğinde dikkat edilmesi gereken husus olmaktadır. Sonuçlarına bakıldığında presenteizmin kurumsal sürdürüle�bilirlikle olası ilişkisi sadece literatür taranarak ortaya konulmuş ve bir ilişkinin olasılığından bahsetmek mümkündür. Bu çalışmanın daha ileri boyutta bir ilişki saptanması ve ilişkinin tüm boyutlardaki etkile�rinin ortaya konulabilmesi için literatür boyutundan ziyade uygula�malı analizler ile uygun ölçeklerin kullanılması yöntemleriyle tekrar ele alınması önerilmektedir.
Chapter
Since 1970, there has been an overall decline in wildlife populations in the order of 52%. Freshwater species populations have declined by 76%; species populations in Central and South America have declined by 83%; and in the Indo-Pacific by 67%. These are often not complete extinctions, but large declines in the numbers of animals in each species, as well as habitat loss. This presents us with a tremendous opportunity, before it is too late to rescue many species. This book documents the present state of wildlife on a global scale, using a taxonomic approach, and serving as a one stop place for people involved in conservation to be able to find out what is in decline, and the success stories that have occurred to bring back species from the brink of extinction - primarily due to conservation management techniques - as models for what we might achieve in the future.
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We provide updated estimates of the change of ocean heat content and the thermosteric component of sea level change of the 0–700 and 0–2000 m layers of the World Ocean for 1955–2010. Our estimates are based on historical data not previously available, additional modern data, and bathythermograph data corrected for instrumental biases. We have also used Argo data corrected by the Argo DAC if available and used uncorrected Argo data if no corrections were available at the time we downloaded the Argo data. The heat content of the World Ocean for the 0–2000 m layer increased by 24.0 � 1.9 � 1022 J (�2S.E.) corresponding to a rate of 0.39Wm�2 (per unit area of the WorldOcean) and a volume mean warming of 0.09�C. This warming corresponds to a rate of 0.27 W m�2 per unit area of earth’s surface. The heat content of the World Ocean for the 0–700 m layer increased by 16.7 � 1.6 � 1022 J corresponding to a rate of 0.27 W m�2 (per unit area of the World Ocean) and a volume mean warming of 0.18�C. The World Ocean accounts for approximately 93% of the warming of the earth system that has occurred since 1955. The 700–2000 m ocean layer accounted for approximately one-third of the warming of the 0–2000 m layer of the World Ocean. The thermosteric component of sea level trend was 0.54 � .05 mm yr�1 for the 0–2000 m layer and 0.41 � .04 mm yr�1 for the 0–700 m layer of the World Ocean for 1955–2010.
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The elusive nature of the post-2004 upper ocean warming has exposed uncertainties in the ocean's role in the Earth's energy budget and transient climate sensitivity. Here we present the time evolution of the global ocean heat content for 1958 through 2009 from a new observation-based reanalysis of the ocean. Volcanic eruptions and El Niño events are identified as sharp cooling events punctuating a long-term ocean warming trend, while heating continues during the recent upper-ocean-warming hiatus, but the heat is absorbed in the deeper ocean. In the last decade, about 30% of the warming has occurred below 700 m, contributing significantly to an acceleration of the warming trend. The warming below 700 m remains even when the Argo observing system is withdrawn although the trends are reduced. Sensitivity experiments illustrate that surface wind variability is largely responsible for the changing ocean heat vertical distribution.