Meteorology and Atmospheric Physics Journal Impact Factor & Information

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

2015 Impact Factor Available summer 2016
2014 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
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Long-term variation of estimated global solar radiation (Eg↓) and its relationship with total cloud cover (TCC), low cloud cover (LCC), water vapor content (WVC) and aerosol optical depth (AOD) were investigated based on observations at 21 meteorological stations in Hunan province, China. Long-term variations of all variables were calculated for each station, the Mann-Kendall trend test was used to detect the significant level of temporal development trend for each variable, the Pearson correlation analysis was used to measure their linear relationships. Annual Eg↓ generally decreased at the rate of -2.11×10-3 MJ m-2 decade-1 in Hunan province during 1980-2013. Seasonal mean Eg↓ decreased at the rate of -11.99×10-3, -4.71×10-3 and -4.51×10-3 MJ m-2 decade-1 in summer, autumn and winter, respectively, while the increasing trend was observed in spring (15.74×10-3 MJ m-2 decade-1). The annual variation of Eg↓ in Hunan province was dominantly determined by the variations of AOD (0.33×10-3 decade-1) and LCC (0.24% p decade-1). But the spatial variation of Eg↓ in Hunan province was complex. All 21 stations were divided into four groups according to the long-term trends of Eg↓, TCC, LCC, AOD and WVC. An increasing Eg↓ was observed at stations in group 1, which were determined by the variability of TCC. The variability of AOD and TCC might contribute to the increasing Eg↓ in group 2. There were decreasing trends of Eg↓ for the stations in group 3 and group 4, which were largely determined by the increases of AOD and LCC.
    Meteorology and Atmospheric Physics 10/2015; DOI:10.1007/s00703-015-0410-4
  • Meteorology and Atmospheric Physics 09/2015; DOI:10.1007/s00703-015-0406-0
  • [Show abstract] [Hide abstract]
    ABSTRACT: The results of a sensitivity work based on ERA-Interim driven COSMO-CLM simulations over the Middle East-North Africa (CORDEX-MENA) domain are presented. All simulations were performed at 0.44° spatial resolution. The purpose of this study was to ascertain model performances with respect to changes in physical and tuning parameters which are mainly related to surface, convection, radiation and cloud parameterizations. Evaluation was performed for the whole CORDEX-MENA region and six sub-regions, comparing a set of 26 COSMO-CLM runs against a combination of available ground observations, satellite products and reanalysis data to assess temperature, precipitation, cloud cover and mean sea level pressure. The model proved to be very sensitive to changes in physical parameters. The optimized configuration allows COSMO-CLM to improve the simulated main climate features of this area. Its main characteristics consist in the new parameterization of albedo, based on Moderate Resolution Imaging Spectroradiometer data, and the new parameterization of aerosol, based on NASA-GISS AOD distributions. When applying this configuration, Mean Absolute Error values for the considered variables are as follows: about 1.2 °C for temperature, about 15 mm/month for precipitation, about 9% for total cloud cover, and about 0.6 hPa for mean sea level pressure.
    Meteorology and Atmospheric Physics 09/2015; DOI:10.1007/s00703-015-0403-3
  • Meteorology and Atmospheric Physics 09/2015; DOI:10.1007/s00703-015-0401-5
  • Meteorology and Atmospheric Physics 08/2015; DOI:10.1007/s00703-015-0394-0
  • [Show abstract] [Hide abstract]
    ABSTRACT: Artificial neural network (ANN) method was applied for modeling and prediction of mean precipitable water and solar radiation in a given location and given date (month), given altitude, temperature, pressure and humidity in Turkey (26–45ºE and 36–42ºN) during the period of 2000–2002. Resilient Propagation (RP) learning algorithms and logistic sigmoid transfer function were used in the network. To train the network, meteorological measurements taken by the Turkish State Meteorological Service (TSMS) and Wyoming University for the period from 2000 to 2002 from five stations distributed in Turkey were used as training data. Data from years (2000 and 2001) were used for training, while the year 2002 was used for testing and validating the model. The RP algorithm were first used for determination of the precipitable water and subsequently, computation of the solar radiation, in these stations Root Mean Square Error (RMSE) between the estimated and measured values for monthly mean daily sum for precipitable water and solar radiation values have been found as 0.0062 gr/cm2 and 0.0603 MJ/m2 (training cities), 0.5652 gr/cm2 and 3.2810 MJ/m2 (testing cities), respectively.
    Meteorology and Atmospheric Physics 08/2015; 127(4). DOI:10.1007/s00703-015-0372-6
  • Meteorology and Atmospheric Physics 07/2015; DOI:10.1007/s00703-015-0393-1
  • Meteorology and Atmospheric Physics 07/2015; DOI:10.1007/s00703-015-0392-2
  • Meteorology and Atmospheric Physics 07/2015; DOI:10.1007/s00703-015-0388-y
  • [Show abstract] [Hide abstract]
    ABSTRACT: Sudanese systems are low-pressure thermal s ystems which originate from the Red Sea and their low-pressure isoheights are detectable around south of the Red Sea, Sudan and Ethiopia. These systems when combined with Mediterranean troughs in cold seasons, and absorbing more humidity from the Red Sea, reach the south west of Iran and result in heavy rainfalls in western, southwestern and southern parts of Iran. In all these synoptic–dynamic systems, low-pressure isobars or low isoheights are considerable. 11 severe torrents which happened in southwest of Iran (1998–2008) are selected and using Japanese ReAnalysis data (JRA25), anomalies of dynamic and thermodynamic indices 2 days prior to the start of heavy rainfalls and during rainy days have been analyzed. The selected indices in this research are relative vorticity, convergence and divergence, vorticity advection, specific humidity and moisture advection. Pressure levels of 500 and 700 were analyzed to detect the location of troughs, vorticity and vertical wind velocity. Also level of 1000 hPa was investigated to determine the atmospheric convergence in near surface levels. It should be mentioned that to determine the advection of moisture, vertical profile of moisture advection (1000–250 hPa levels) was analyzed. According to the results of this research and analyzing 6-hourly recorded rainfall amounts, it is understood that in the reference events, before the start of the torrent, geopotential height values in the under-studied region decrease and at the time of maximum rainfalls, the geopotential height reaches to its lowest values and by the end of the torrent, the values start increasing; whereas parameters related to convergence and vertical movements, such as relative vorticity, moisture advection, convergence of moisture and specific humidity amounts correspond to the same trend of rainfall from the beginning to the end.
    Meteorology and Atmospheric Physics 07/2015; 127(282):1-9. DOI:10.1007/s00703-015-0389-x