Titlebook: Geoinformatics and Atmospheric Science; Tomasz Niedzielski,Krzysztof Miga?a Book 2018 Springer International Publishing AG 2018 atmospheri

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書目名稱Geoinformatics and Atmospheric Science影響因子(影響力)




書目名稱Geoinformatics and Atmospheric Science影響因子(影響力)學科排名




書目名稱Geoinformatics and Atmospheric Science網絡公開度




書目名稱Geoinformatics and Atmospheric Science網絡公開度學科排名




書目名稱Geoinformatics and Atmospheric Science被引頻次




書目名稱Geoinformatics and Atmospheric Science被引頻次學科排名




書目名稱Geoinformatics and Atmospheric Science年度引用




書目名稱Geoinformatics and Atmospheric Science年度引用學科排名




書目名稱Geoinformatics and Atmospheric Science讀者反饋




書目名稱Geoinformatics and Atmospheric Science讀者反饋學科排名

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2504-3625 atmospheric sciences driven by numerical modeling.Examples rThis volume presents recent developments in atmospheric sciences driven by numerical modeling which makes use of geospatial technologies and increasing computational power. It gathers examples of how geoinformatics supports meteorological,

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STRIA

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https://doi.org/10.1007/978-3-322-91007-3hile the 2013 monsoon saw the timely onset and one of the fastest progressions during the recent decades, 2014 had a delayed onset and a slower progression phase. The monthly rainfall of June 2013 was +34 %, whereas in 2014 it was -43 % of its long-period average. The progress/onset of monsoon in Ju

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https://doi.org/10.1007/978-3-662-26290-0he formation of photochemical pollutants, most of all tropospheric ozone (O.). Because cloud amount and type in meteorological models are resolved by microphysics schemes, adjusting this parameterization is a major factor determining the accuracy of the results. However, verification of cloud cover

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Die dynamische Bilanztheorie Schmalenbachs,e evaluation of the model results for daily rainfall and air temperatures. The WRF model evaluation is performed by comparison with measurements and gridded data (E-OBS). The study is focused on the area of Poland and covers the 1981–2010 period, for which the WRF model has been run using three nest

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Erfolgsfaktoren in Reengineering-Projekten (dynamic or diagnostic), it can be observed that information about surface roughness is indispensable to achieve realistic results. In this context, the current state of GIS and remote sensing development allows access to a number of datasets providing information about various properties of land c