Počet záznamů: 1

Comparative validation of statistical and dynamical downscaling models on a dense grid in central Europe: temperature

SYSNO ASEP	0437127
Druh ASEP	J - Článek v odborném periodiku
Zařazení RIV	J - Článek v odborném periodiku
Poddruh J	Článek ve WOS
Název	Comparative validation of statistical and dynamical downscaling models on a dense grid in central Europe: temperature
Tvůrce(i)	Huth, Radan (UEK-B)_{RID, ORCID, SAI} Mikšovský, J. (CZ) Štěpánek, Petr (UEK-B)_{RID, SAI, ORCID} Belda, M. (CZ) Farda, Aleš (UEK-B)_{RID, SAI} Chládová, Z. (CZ) Pišoft, P. (CZ)
Zdroj.dok.	Theoretical and Applied Climatology - ISSN 0177-798X Roč. 120, 3-4 (2015), s. 533-553
Poč.str.	21 s.
Jazyk dok.	eng - angličtina
Země vyd.	AT - Rakousko
Klíč. slova	atmospheric science ; climatology ; air pollution
Vědní obor RIV	DG - Vědy o atmosféře, meteorologie
CEP	GAP209/11/2405 GA ČR - Grantová agentura ČR
	ED1.1.00/02.0073 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
Institucionální podpora	RVO:67179843 - RVO:67179843 ; UFA-U - RVO:68378289
UT WOS	000353220700011
EID SCOPUS	84939892527
DOI	10.1007/s00704-014-1190-3
Anotace	Minimum and maximum temperature in two regional climate models and five statistical downscaling models are validated according to a unified set of criteria that have a potential relevance for impact assessments: persistence (temporal autocorrelations), spatial autocorrelations, extreme quantiles, skewness, kurtosis, and the degree of fit to observed data on both short and long times scales. The validation is conducted on two dense grids in central Europe as follows: (1) a station network and (2) a grid with a resolution of 10 km. The gridded dataset is not contaminated by artifacts of the interpolation procedure; therefore, we claim that using a gridded dataset as a validation base is a valid approach. The fit to observations in short time scales is equally good for the statistical downscaling (SDS) models and regional climate models (RCMs) in winter, while it is much better for the SDS models in summer. The reproduction of variability on long time scales, expressed as linear trends, is similarly successful by both SDS models and RCMs. Results for other criteria suggest that there is no justification for preferring dynamical models at the expense of statistical models—and vice versa. The non-linear SDS models do not outperform the linear ones.
Pracoviště	Ústav výzkumu globální změny
Kontakt	Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268
Rok sběru	2016

Počet záznamů: 1