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

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發(fā)表于 2025-3-21 19:22:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science
編輯Tomasz Niedzielski,Krzysztof Miga?a
視頻videohttp://file.papertrans.cn/384/383282/383282.mp4
概述Main topic is the transitional zone between oceanic and continental features of the mid-latitude climate.Present how recent developments in atmospheric sciences driven by numerical modeling.Examples r
叢書(shū)名稱(chēng)Pageoph Topical Volumes
圖書(shū)封面Titlebook: Geoinformatics and Atmospheric Science;  Tomasz Niedzielski,Krzysztof Miga?a Book 2018 Springer International Publishing AG 2018 atmospheri
描述This 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, climatological and water-related studies. One of the most important features of geospatial technologies is that they provide methods and tools which may be utilized in real time or near real time in order to monitor and predict atmospheric processes. This is particularly crucial in areas where dynamics of atmospheric phenomena is considerable and causes difficulties in accurate forecasting. One of such areas is the transitional zone between oceanic and continental features of the mid-latitude climate. Good examples of investigations into the transitional zone come from Poland and its neighboring countries. The topical volume provides the reader with a selection of papers on physically-based and data-based modelling of weather-related phenomena over Poland. This main theme of the topical volume is extended to cover case studies on the use of geoinformatics in atmospheric studies in other regions at a range of spatial scales..
出版日期Book 2018
關(guān)鍵詞atmospheric sciences; numerical modeling; geospatial technologies; atmospheric processes; spatial scales
版次1
doihttps://doi.org/10.1007/978-3-319-66092-9
isbn_softcover978-3-319-66091-2
isbn_ebook978-3-319-66092-9Series ISSN 2504-3625 Series E-ISSN 2504-3633
issn_series 2504-3625
copyrightSpringer International Publishing AG 2018
The information of publication is updating

書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science影響因子(影響力)




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science被引頻次




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science被引頻次學(xué)科排名




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science年度引用




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science讀者反饋




書(shū)目名稱(chēng)Geoinformatics and Atmospheric Science讀者反饋學(xué)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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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
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