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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F14%3A10284526%21RIV15-MSM-11320___
rdf:type
n7:Vysledek skos:Concept
rdfs:seeAlso
http://dx.doi.org/10.3354/cr01207
dcterms:description
We investigated high-resolution simulations of regional climate models (RCMs) driven by ERA-40 reanalyses over areas of selected European countries (Austria, Czech Republic, Hungary, Slovakia and Romania) for the period 1961-1990. RCMs were run at a spatial resolution of 10 km in the framework of the CECILIA project, and their outputs were compared with the EOBS dataset of gridded observations and RCM simulations at coarser 25 km resolution from the ENSEMBLES project to identify a possible gain from the CECILIA experiments over ENSEMBLES. Cold biases of air temperature and wet biases of precipitation dominate in the CECILIA simulations. Spatial variability and distribution of the air temperature field are well captured. The precipitation field, relative to observations, often shows inadequately small spatial variability and lowered correlations but is nevertheless comparable to the ENSEMBLES model. Inter-annual variability (IAV) of air temperature is captured differently among seasons but mostly improved in CECILIA compared with ENSEMBLES. Precipitation IAV shows a similar or worse score. The detected weaknesses found within the validation of the CECILIA RCMs are attributed to the resolution dependence of the set of physical parameterizations in the models and the choice of integration domain. The gain obtained by using a high resolution over a small domain (as in CECILIA) relative to a lower resolution (25 km) over a larger domain (as in ENSEMBLES) is clear for air temperature but limited for precipitation. We investigated high-resolution simulations of regional climate models (RCMs) driven by ERA-40 reanalyses over areas of selected European countries (Austria, Czech Republic, Hungary, Slovakia and Romania) for the period 1961-1990. RCMs were run at a spatial resolution of 10 km in the framework of the CECILIA project, and their outputs were compared with the EOBS dataset of gridded observations and RCM simulations at coarser 25 km resolution from the ENSEMBLES project to identify a possible gain from the CECILIA experiments over ENSEMBLES. Cold biases of air temperature and wet biases of precipitation dominate in the CECILIA simulations. Spatial variability and distribution of the air temperature field are well captured. The precipitation field, relative to observations, often shows inadequately small spatial variability and lowered correlations but is nevertheless comparable to the ENSEMBLES model. Inter-annual variability (IAV) of air temperature is captured differently among seasons but mostly improved in CECILIA compared with ENSEMBLES. Precipitation IAV shows a similar or worse score. The detected weaknesses found within the validation of the CECILIA RCMs are attributed to the resolution dependence of the set of physical parameterizations in the models and the choice of integration domain. The gain obtained by using a high resolution over a small domain (as in CECILIA) relative to a lower resolution (25 km) over a larger domain (as in ENSEMBLES) is clear for air temperature but limited for precipitation.
dcterms:title
CECILIA regional climate simulations for the present climate: validation and inter-comparison CECILIA regional climate simulations for the present climate: validation and inter-comparison
skos:prefLabel
CECILIA regional climate simulations for the present climate: validation and inter-comparison CECILIA regional climate simulations for the present climate: validation and inter-comparison
skos:notation
RIV/00216208:11320/14:10284526!RIV15-MSM-11320___
n3:aktivita
n6:I n6:P n6:Z
n3:aktivity
I, P(ED1.1.00/02.0073), P(EE2.4.31.0056), P(GAP209/11/2405), P(OC10061), Z(MSM0021620860)
n3:cisloPeriodika
1
n3:dodaniDat
n12:2015
n3:domaciTvurceVysledku
n17:1688782 n17:7718500
n3:druhVysledku
n11:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
6366
n3:idVysledku
RIV/00216208:11320/14:10284526
n3:jazykVysledku
n20:eng
n3:klicovaSlova
RegCM3; ALADIN-Climate; CECILIA; Validation; Model performance; RCM
n3:klicoveSlovo
n8:CECILIA n8:ALADIN-Climate n8:Validation n8:RCM n8:RegCM3 n8:Model%20performance
n3:kodStatuVydavatele
DE - Spolková republika Německo
n3:kontrolniKodProRIV
[B9FBE4CAB7A8]
n3:nazevZdroje
Climate Research
n3:obor
n15:DG
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
9
n3:projekt
n5:OC10061 n5:ED1.1.00%2F02.0073 n5:GAP209%2F11%2F2405 n5:EE2.4.31.0056
n3:rokUplatneniVysledku
n12:2014
n3:svazekPeriodika
60
n3:tvurceVysledku
Farda, Aleš Halenka, Tomáš Spiridonov, Valery Belda, Michal Skalák, Petr Caian, Mihaela Bartholy, Judit Deque, Michel Csima, Gabriella
n3:wos
000337053900001
n3:zamer
n4:MSM0021620860
s:issn
0936-577X
s:numberOfPages
12
n19:doi
10.3354/cr01207
n21:organizacniJednotka
11320