Meteorology and Atmospheric Physics (METEOROL ATMOS PHYS)

Publisher: Springer Verlag

Journal description

Meteorology and Atmospheric Physics will accept original research papers for publication following the recommendations of a review panel. The emphasis lies with the following topic areas: atmospheric dynamics and general circulation; synoptic meteorology; weather systems in specific regions such as the tropics the polar caps the oceans; atmospheric energetics; numerical modeling and forecasting; physical and chemical processes in the atmosphere including radiation optical effects electricity and atmospheric turbulence and transport processes: mathematical and statistical techniques applied to meteorological data sets Meteorology and Atmospheric Physics discusses physical and chemical processes - in both clear and cloudy atmospheres - including radiation optical and electrical effects precipitation and cloud microphysics.

Current impact factor: 1.05

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 1.049
2013 Impact Factor 1.245
2012 Impact Factor 1.327
2011 Impact Factor 0.903
2010 Impact Factor 0.921
2009 Impact Factor 0.872
2008 Impact Factor 1.034
2007 Impact Factor 1.149
2006 Impact Factor 0.981
2005 Impact Factor 1.156
2004 Impact Factor 1.097
2003 Impact Factor 0.82
2002 Impact Factor 0.887
2001 Impact Factor 0.714
2000 Impact Factor 0.536
1999 Impact Factor 0.574
1998 Impact Factor 0.737
1997 Impact Factor 0.788
1996 Impact Factor 0.921
1995 Impact Factor 1
1994 Impact Factor 0.645
1993 Impact Factor 0.408
1992 Impact Factor 0.673

Impact factor over time

Impact factor

Additional details

5-year impact 1.21
Cited half-life >10.0
Immediacy index 0.13
Eigenfactor 0.00
Article influence 0.50
Website Meteorology and Atmospheric Physics website
Other titles Meteorology and atmospheric physics (Online)
ISSN 0177-7971
OCLC 41239516
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification

Publications in this journal

  • Yaodeng Chen · Xue Xia · Jinzhong Min · Xiang-Yu Huang · Syed R. H. Rizvi

    No preview · Article · Feb 2016 · Meteorology and Atmospheric Physics
  • K. C. Gouda · P. Goswami

    No preview · Article · Feb 2016 · Meteorology and Atmospheric Physics
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    ABSTRACT: An extended range tropical cyclogenesis forecast model has been developed using the forecasts of global models available from TIGGE portal. A scheme has been developed to detect the signatures of cyclogenesis in the global model forecast fields [i.e., the mean sea level pressure and surface winds (10 m horizontal winds)]. For this, a wind matching index was determined between the synthetic cyclonic wind fields and the forecast wind fields. The thresholds of 0.4 for wind matching index and 1005 hpa for pressure were determined to detect the cyclonic systems. These detected cyclonic systems in the study region are classified into different cyclone categories based on their intensity (maximum wind speed). The forecasts of up to 15 days from three global models viz., ECMWF, NCEP and UKMO have been used to predict cyclogenesis based on multi-model ensemble approach. The occurrence of cyclonic events of different categories in all the forecast steps in the grided region (10 × 10 km2) was used to estimate the probability of the formation of cyclogenesis. The probability of cyclogenesis was estimated by computing the grid score using the wind matching index by each model and at each forecast step and convolving it with Gaussian filter. The proposed method is used to predict the cyclogenesis of five named tropical cyclones formed during the year 2013 in the north Indian Ocean. The 6–8 days advance cyclogenesis of theses systems were predicted using the above approach. The mean lead prediction time for the cyclogenesis event of the proposed model has been found as 7 days.
    No preview · Article · Feb 2016 · Meteorology and Atmospheric Physics

  • No preview · Article · Jan 2016 · Meteorology and Atmospheric Physics

  • No preview · Article · Jan 2016 · Meteorology and Atmospheric Physics
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    ABSTRACT: An objective classification scheme of atmospheric circulation, in which daily circulation is determined by the strength, direction, and vorticity of geostrophic flow, has been applied to the atmosphere over Serbia for the time period 1961–2010. The results for the sea level and isobaric level of 500 hPa for winter and summer are presented. The 26 circulation types (eight pure direction, 16 hybrid, cyclonic, and anticyclonic types) are determined and described. Each of the circulation types has a distinct underlying synoptic pattern that produces the expected type and direction of flow over the study area. The relative frequencies of the circulation types, and the relationship between the precipitation and circulation types at three stations on a seasonal time scale are analyzed. The anticyclonic weather type dominates in winter (18.93 %) and summer (18.70 %), followed by the northeasterly type (16.65 %) in summer, and the cyclonic type (12.83 %) in winter. The cyclonic types (C and hybrid) have a higher than average probability of rain at all stations. Conversely, the anticyclonic types are associated with a lower than average probability and intensity of rainfall.
    No preview · Article · Jan 2016 · Meteorology and Atmospheric Physics
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    ABSTRACT: This study analyzes the inter-annual and intra-seasonal rainfall variability in Pakistan using daily rainfall data during the summer monsoon season (June to September) recorded from 1980 to 2014. The variability in inter-annual monsoon rainfall ranges from 20 % in northeastern regions to 65 % in southwestern regions of Pakistan. The analysis reveals that the transition of the negative and positive anomalies was not uniform in the investigated dataset. In order to acquire broad observations of the intra-seasonal variability, an objective criterion, the pre-active period, active period and post-active periods of the summer monsoon rainfall have demarcated. The analysis also reveals that the rainfall in June has no significant contribution to the increase in intra-seasonal rainfall in Pakistan. The rainfall has, however, been enhanced in the summer monsoon in August. The rainfall of September demonstrates a sharp decrease, resulting in a high variability in the summer monsoon season. A detailed examination of the intra-seasonal rainfall also reveals frequent amplitude from late July to early August. The daily normal rainfall fluctuates significantly with its maximum in the Murree hills and its minimum in the northwestern Baluchistan.
    No preview · Article · Jan 2016 · Meteorology and Atmospheric Physics
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    ABSTRACT: This paper deals with the probabilistic short-range temperature forecasts over synoptic meteorological stations across Iran using non-homogeneous Gaussian regression (NGR). NGR creates a Gaussian forecast probability density function (PDF) from the ensemble output. The mean of the normal predictive PDF is a bias-corrected weighted average of the ensemble members and its variance is a linear function of the raw ensemble variance. The coefficients for the mean and variance are estimated by minimizing the continuous ranked probability score (CRPS) during a training period. CRPS is a scoring rule for distributional forecasts. In the paper of Gneiting et al. (Mon Weather Rev 133:1098–1118, 2005), Broyden–Fletcher–Goldfarb–Shanno (BFGS) method is used to minimize the CRPS. Since BFGS is a conventional optimization method with its own limitations, we suggest using the particle swarm optimization (PSO), a robust meta-heuristic method, to minimize the CRPS. The ensemble prediction system used in this study consists of nine different configurations of the weather research and forecasting model for 48-h forecasts of temperature during autumn and winter 2011 and 2012. The probabilistic forecasts were evaluated using several common verification scores including Brier score, attribute diagram and rank histogram. Results show that both BFGS and PSO find the optimal solution and show the same evaluation scores, but PSO can do this with a feasible random first guess and much less computational complexity.
    No preview · Article · Jan 2016 · Meteorology and Atmospheric Physics
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    ABSTRACT: The Arabian Sea witnesses consistent occurrence of a large-scale aerosol plume transported by the northerlies from the Asian region during the dry season (December–April). This paper presents direct observations of the diurnal variation (and dependence on solar zenith angle, SZA) of instantaneous aerosol direct radiative forcing efficiency (IADRFE) and aerosol direct radiative forcing (ADRF) at surface during the period from December to March of 2010–2013 at Thiruvananthapuram (8.5°N, 77°E), an Indian peninsular station adjoining the Arabian Sea coast, which resides well within this aerosol plume. Magnitude of the IADRFE increases with SZA from −75 ± 20 W m−2τ 500−1 at SZA of ~80° to attain a peak value of −170 ± 30 W m−2τ 500−1 at SZA ~60° in March (~3 h before and after the local noon). Absolute magnitudes and SZA dependence of the observed seasonal mean IADRFE are in agreement (within 16 % of the absolute magnitudes) with those estimated using radiation transfer computations employing an aerosol model with visible band single-scattering albedo of ~0.90 ± 0.03. Observed values of the diurnal mean aerosol radiative forcing efficiency (ADRFE) averaged during the season (December–March) vary between −71 and −76.5 W m−2τ 500−1, which is in agreement with the model estimate of −71 W m−2τ 500−1. The present observations show that the seasonal mean ADRF at surface (−25 to −28 W m−2) is about 10 % of the diurnal mean downwelling shortwave flux reaching the surface (in the absence of aerosols) during dry season at this location, indicating the major role of aerosols in regulating surface energetics.
    No preview · Article · Jan 2016 · Meteorology and Atmospheric Physics
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    ABSTRACT: Aerosol distribution over the Arabian Sea and the Indian subcontinent during the northern hemispheric summer is dominated by mineral dust transport from the West Asian desert regions. The radiative impact of these dust plumes is expected to have a prominent role in regulating the Asian Summer Monsoon circulation. While satellite observations have provided information in the spatial distribution of aerosols over the oceanic regions during the season, their utility over the land is rather limited. This study examines the transport of mineral dust over the West Asian desert, the Indian subcontinent and the surrounding oceanic regions during the summer monsoon season with the help of a regional scale model, WRF-Chem. Geographical locations of prominent dust sources, altitude ranges of mineral dust transport and their inter-annual variations are examined in detail. Multi-year model simulations were carried out during 2007 to 2012 with a model integration from 15 May to 31 August of each year. Six-year seasonal mean (June to August) vertically integrated dust amount from 1000 to 300 hPa level shows prominent dust loading over the eastern parts of Arabian desert and the northwestern part of India which are identified as two major sources of dust production. Large latitudinal gradient in dust amount is observed over the Arabian Sea with the largest dust concentration over the northwestern part and is primarily caused by the prevailing northwesterly wind at 925 hPa level from the Arabian desert. The model simulations clearly show that most of the dust distributed over the Indo-Gangetic plane originates from the Rajasthan desert located in the northwestern part of India, whereas dust observed over the central and south peninsular India and over the Arabian Sea are mainly transported from the Arabian desert. Abnormal dust loading is observed over the north Arabian Sea during June 2008. This has been produced as a result of the low pressure system (associated with the onset of summer monsoon) which entered in to the Arabian land mass, resulting strong wind and large dust storms over the region; the prevailing northwesterly wind transported these dust in to the Arabian Sea.
    No preview · Article · Dec 2015 · Meteorology and Atmospheric Physics
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    ABSTRACT: A rainstorm caused by the coupling of the Tibetan Plateau vortex (TPV) and the Southwest China vortex (SWCV) in eastern Sichuan during 29 June–2 July 2013 is analyzed by using the conventional observed data and its time intensive observed data, the intensive observed data of SWCV scientific experiment during flood season. The results show that under the control of a large transverse trough in Eurasia region at mid-high latitude, the westerly flow in northern China leads TPV eastward movement. And SWCV moves northeastward. Finally, both of them merge to form a combined vortex (CBV) in Sichuan Basin resulting in heavy rainfall. The water vapor from both the Bay of Bengal and the South China Sea provides the sufficient humidity condition. The intensive observation clearly reveals the nascent states of TPV and SWCV, the movements and interactions, especially, the two vortices' merging process, and the effects of cold and warm advection, as well as the rainstorm. When the two vortices merge into CBV, cold tongue and warm flow meet and produce frontogenesis around the center of CBV. A frontogenetical area exists deeply from lower troposphere to upper troposphere with the south-positive and north-negative vertical structure, which is similar to front. The positive PV evidently developed both in the range and in the intensity with the stronger center at upper level, and the positive PV center located at the front of CBV has indicative significance for the vortex’s activities. And CBV has the same distributions of vorticity and temperature with SWCV and TPV, respectively. SWCV and TPV make different key contributions to the dynamic–thermodynamic property of CBV, but both of them have obvious influences on the divergence distribution of CBV. Furthermore, rainfall mainly distributes in the high areas of averaged temperature deviation gradient, and it is closely related to the joint influences of warm-moist air from the south and dry-cold air from the north. But, only using the conventional observed data, it is difficult to obtain the above useful understanding. So, augmenting intensive observation, improving scientific experiment, and focusing on fine study are much conducive for the meso-scale and small-scale weather systems such as SWCV and TPV, as well as its weather influences.
    No preview · Article · Dec 2015 · Meteorology and Atmospheric Physics
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    ABSTRACT: Variations of frost days and growing season length (GSL) have been drawing increasing attention due to their impact on agriculture. The Xinjiang region in China is climatically an arid region and plays an important role in agriculture development. In this study, the GSL and frost events are analyzed in both space and time, based on the daily minimum, mean and maximum air surface temperature data covering a period of 1961–2010. Results indicate that: (1) a significant lengthening of GSL is detected during 1961–2010 in Xinjiang, China. The increasing rate of GSL over Xinjiang is about 2.5 days per decade. Besides, the starting time of growing season is 0.7 days earlier per decade and the ending time is 1.6 days later per decade. Generally, GSL in southern Xinjiang has larger increasing magnitude when compared to other regions of Xinjiang; (2) longer GSL and larger changing magnitude of growing season start (GSS), growing season end (GSE) and GSL in southern Xinjiang implies higher sensitivity of the growing season response to climate warming. Besides, GSL is in close relation with latitude, and higher latitude usually corresponds to later start and earlier end of growing season, and hence shorter GSL. In general, a northward increase of 1° latitude triggers an 8-day delay of the starting time of growing season, 6-day advance of the ending time of growing season, and thus the GSL is 14 days shorter; (3) GSL under different rates can reflect light and heat resources over Xinjiang. The GSL related to 80 % guarantee rate is 5–14 days shorter than the long-term annual mean GSL; (4) Lengthening of GSL has the potential to increase agricultural production. However, negative influences by climate warming, such as enhanced evapotranspiration, increasing weeds, insects, and pathogen-mediated plant diseases, should also be considered in planning, management and development of agriculture in Xinjiang.
    No preview · Article · Nov 2015 · Meteorology and Atmospheric Physics