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

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2504-3625 ena 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..978-3-319-66091-2978-3-319-66092-9Series ISSN 2504-3625 Series E-ISSN 2504-3633

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fledged

https://doi.org/10.1007/978-3-322-91007-3ean, respectively. The strong (weak) descent over the south Indian Ocean intensified (weakened) the Mascarene High, which in turn strengthened (weakened) the cross-equatorial flow and hence the monsoonal circulation.

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https://doi.org/10.1007/978-3-662-26290-0 each with a different microphysics parameterization: Purdue Lin, Eta Ferrier, WRF Single-Moment 6-class, and Morrison Double-Moment scheme. The results were then evaluated based on cloud mask satellite images derived from SEVIRI data. Meteorological variables and O. concentrations were also evaluat

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來這真柔軟

Hemmnisse und Kosten der Dynamisierungncentration. Due to the solar radiation changes, the surface mean monthly temperature (T2) decreases for 96 % of the area of Poland, but not more than 1.0 °C. Monthly mean PBLH changes by more than ±5 m for 53 % of the domain. Locally the differences in PBLH between the DIR and BASE are higher than

Incorruptible

Erfolgsfaktoren in Reengineering-Projektenital Terrain Model), database of topographical objects (BDOT10k) and both raster and vector versions of Corine Land Cover 2006?(CLC). The modeling was conducted in WindStation 4.0.2 software which is based on the computational fluid dynamics (CFD) diagnostic solver Canyon. Presented experiment conce

幾何學(xué)家

K?ufer und Anbieter im Spannungsfelds. The analysis was performed using data from 250 meteorological stations and for 69 air temperature cases aggregated on different levels: from daily means to 10-year annual mean. Two cases were considered for detailed analysis. The set of potential auxiliary variables covered 11 environmental predi

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