The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F14%3A00426394" target="_blank" >RIV/68378289:_____/14:00426394 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.atmosres.2012.07.027" target="_blank" >http://dx.doi.org/10.1016/j.atmosres.2012.07.027</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.atmosres.2012.07.027" target="_blank" >10.1016/j.atmosres.2012.07.027</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic
Popis výsledku v původním jazyce
The goal of this paper is to calculate new calibration matrices using Rapid Scan (RSS) Meteosat Second Generation (MSG) measurements and to evaluate their impact on precipitation estimates for a territory of the Czech Republic. The calibration matrices are the most important part of the Convective Rainfall Rate algorithm, which uses the IR 10.8 ?m, WV 6.2 ?m and VIS 0.6 ?m spectral SEVIRI (Spinning Enhanced Visible and Infrared Imager) channels of the MSG to assess satellite precipitation estimates (SPEs). The calibration matrices were calculated using Czech radar data from 21 summer days during which severe convection and heavy precipitation were observed. The resultant matrices were compared with those obtained using conventional 15 min MSG scans. The comparison showed significant differences in the calibration matrices, which resulted in differences in the estimated precipitation. The application of RSS data significantly increased the rain rates and improved the structure of the ma
Název v anglickém jazyce
The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic
Popis výsledku anglicky
The goal of this paper is to calculate new calibration matrices using Rapid Scan (RSS) Meteosat Second Generation (MSG) measurements and to evaluate their impact on precipitation estimates for a territory of the Czech Republic. The calibration matrices are the most important part of the Convective Rainfall Rate algorithm, which uses the IR 10.8 ?m, WV 6.2 ?m and VIS 0.6 ?m spectral SEVIRI (Spinning Enhanced Visible and Infrared Imager) channels of the MSG to assess satellite precipitation estimates (SPEs). The calibration matrices were calculated using Czech radar data from 21 summer days during which severe convection and heavy precipitation were observed. The resultant matrices were compared with those obtained using conventional 15 min MSG scans. The comparison showed significant differences in the calibration matrices, which resulted in differences in the estimated precipitation. The application of RSS data significantly increased the rain rates and improved the structure of the ma
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
DG - Vědy o atmosféře, meteorologie
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Atmospheric Research
ISSN
0169-8095
e-ISSN
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Svazek periodika
144
Číslo periodika v rámci svazku
July 2014
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
13
Strana od-do
82-94
Kód UT WoS článku
000336469900007
EID výsledku v databázi Scopus
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