Počet záznamů: 1

The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic

SYSNO ASEP	0426394
Druh ASEP	J - Článek v odborném periodiku
Zařazení RIV	J - Článek v odborném periodiku
Poddruh J	Článek ve WOS
Název	The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic
Tvůrce(i)	Bližňák, Vojtěch (UFA-U)_{RID, ORCID} Sokol, Zbyněk (UFA-U)_{RID, ORCID} Pešice, Petr (UFA-U)_{RID, ORCID}
Celkový počet autorů	3
Zdroj.dok.	Atmospheric Research. - : Elsevier - ISSN 0169-8095 Roč. 144, July 2014 (2014), s. 82-94
Poč.str.	13 s.
Forma vydání	Tištěná - P
Jazyk dok.	eng - angličtina
Země vyd.	NL - Nizozemsko
Klíč. slova	meteorological satellite ; weather radar ; convective storm ; satellite precipitation estimates ; CRR algorithm ; Czech Republic
Vědní obor RIV	DG - Vědy o atmosféře, meteorologie
CEP	LD11044 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
	ME09033 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
	GA205/07/0905 GA ČR - Grantová agentura ČR
Institucionální podpora	UFA-U - RVO:68378289
UT WOS	000336469900007
EID SCOPUS	84899638902
DOI	10.1016/j.atmosres.2012.07.027
Anotace	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 μm, WV 6.2 μm and VIS 0.6 μm 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 matrices; however, the matrices were subjectively modified to increase the accuracy of the resulting SPEs. The calibration matrices were also calibrated by shifting the radar data forward 5, 10, 15 and 20 min with respect to the MSG measurement, because some delay between the information obtained by the MSG and the radars was expected. The impact of the matrices was evaluated by verifying the SPEs with the radar-derived precipitation estimates merged with the rain gauge observations as the ground truth. The results showed that the calibration matrices that were based on the RSS data improved the categorical skill scores and reduced the mean error (ME), the mean absolute error (MAE), and root mean square error (RMSE) of SPEs.
Pracoviště	Ústav fyziky atmosféry
Kontakt	Kateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019
Rok sběru	2015

Počet záznamů: 1