An inter-comparison of regional climate models for Europe: Model performance in present-day climate

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An inter-comparison of regional climate models for Europe : Model performance in present-day climate. / Jacob, Daniela; Bärring, Lars; Christensen, Ole Bøssing; Christensen, Jens Hesselbjerg; De Castro, Manuel; Déqué, Michel; Giorgi, Filippo; Hagemann, Stefan; Hirschi, Martin; Jones, Richard; Kjellström, Erik; Lenderink, Geert; Rockel, Burkhardt; Sánchez, Enrique; Schär, Christoph; Seneviratne, Sonia I.; Somot, Samuel; Van Ulden, Aad; Van Den Hurk, Bart.

I: Climatic Change, Bind 81, Nr. Suppl. 1, 2007, s. 31-52.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Jacob, D, Bärring, L, Christensen, OB, Christensen, JH, De Castro, M, Déqué, M, Giorgi, F, Hagemann, S, Hirschi, M, Jones, R, Kjellström, E, Lenderink, G, Rockel, B, Sánchez, E, Schär, C, Seneviratne, SI, Somot, S, Van Ulden, A & Van Den Hurk, B 2007, 'An inter-comparison of regional climate models for Europe: Model performance in present-day climate', Climatic Change, bind 81, nr. Suppl. 1, s. 31-52. https://doi.org/10.1007/s10584-006-9213-4

APA

Jacob, D., Bärring, L., Christensen, O. B., Christensen, J. H., De Castro, M., Déqué, M., Giorgi, F., Hagemann, S., Hirschi, M., Jones, R., Kjellström, E., Lenderink, G., Rockel, B., Sánchez, E., Schär, C., Seneviratne, S. I., Somot, S., Van Ulden, A., & Van Den Hurk, B. (2007). An inter-comparison of regional climate models for Europe: Model performance in present-day climate. Climatic Change, 81(Suppl. 1), 31-52. https://doi.org/10.1007/s10584-006-9213-4

Vancouver

Jacob D, Bärring L, Christensen OB, Christensen JH, De Castro M, Déqué M o.a. An inter-comparison of regional climate models for Europe: Model performance in present-day climate. Climatic Change. 2007;81(Suppl. 1):31-52. https://doi.org/10.1007/s10584-006-9213-4

Author

Jacob, Daniela ; Bärring, Lars ; Christensen, Ole Bøssing ; Christensen, Jens Hesselbjerg ; De Castro, Manuel ; Déqué, Michel ; Giorgi, Filippo ; Hagemann, Stefan ; Hirschi, Martin ; Jones, Richard ; Kjellström, Erik ; Lenderink, Geert ; Rockel, Burkhardt ; Sánchez, Enrique ; Schär, Christoph ; Seneviratne, Sonia I. ; Somot, Samuel ; Van Ulden, Aad ; Van Den Hurk, Bart. / An inter-comparison of regional climate models for Europe : Model performance in present-day climate. I: Climatic Change. 2007 ; Bind 81, Nr. Suppl. 1. s. 31-52.

Bibtex

@article{2720e397e57645139c93f2b95c09c2f8,
title = "An inter-comparison of regional climate models for Europe: Model performance in present-day climate",
abstract = "The analysis of possible regional climate changes over Europe as simulated by 10 regional climate models within the context of PRUDENCE requires a careful investigation of possible systematic biases in the models. The purpose of this paper is to identify how the main model systematic biases vary across the different models. Two fundamental aspects of model validation are addressed here: the ability to simulate (1) the long-term (30 or 40 years) mean climate and (2) the inter-annual variability. The analysis concentrates on near-surface air temperature and precipitation over land and focuses mainly on winter and summer. In general, there is a warm bias with respect to the CRU data set in these extreme seasons and a tendency to cold biases in the transition seasons. In winter the typical spread (standard deviation) between the models is 1 K. During summer there is generally a better agreement between observed and simulated values of inter-annual variability although there is a relatively clear signal that the modeled temperature variability is larger than suggested by observations, while precipitation variability is closer to observations. The areas with warm (cold) bias in winter generally exhibit wet (dry) biases, whereas the relationship is the reverse during summer (though much less clear, coupling warm (cold) biases with dry (wet) ones). When comparing the RCMs with their driving GCM, they generally reproduce the large-scale circulation of the GCM though in some cases there are substantial differences between regional biases in surface temperature and precipitation.",
author = "Daniela Jacob and Lars B{\"a}rring and Christensen, {Ole B{\o}ssing} and Christensen, {Jens Hesselbjerg} and {De Castro}, Manuel and Michel D{\'e}qu{\'e} and Filippo Giorgi and Stefan Hagemann and Martin Hirschi and Richard Jones and Erik Kjellstr{\"o}m and Geert Lenderink and Burkhardt Rockel and Enrique S{\'a}nchez and Christoph Sch{\"a}r and Seneviratne, {Sonia I.} and Samuel Somot and {Van Ulden}, Aad and {Van Den Hurk}, Bart",
year = "2007",
doi = "10.1007/s10584-006-9213-4",
language = "English",
volume = "81",
pages = "31--52",
journal = "Climatic Change",
issn = "0165-0009",
publisher = "Springer",
number = "Suppl. 1",

}

RIS

TY - JOUR

T1 - An inter-comparison of regional climate models for Europe

T2 - Model performance in present-day climate

AU - Jacob, Daniela

AU - Bärring, Lars

AU - Christensen, Ole Bøssing

AU - Christensen, Jens Hesselbjerg

AU - De Castro, Manuel

AU - Déqué, Michel

AU - Giorgi, Filippo

AU - Hagemann, Stefan

AU - Hirschi, Martin

AU - Jones, Richard

AU - Kjellström, Erik

AU - Lenderink, Geert

AU - Rockel, Burkhardt

AU - Sánchez, Enrique

AU - Schär, Christoph

AU - Seneviratne, Sonia I.

AU - Somot, Samuel

AU - Van Ulden, Aad

AU - Van Den Hurk, Bart

PY - 2007

Y1 - 2007

N2 - The analysis of possible regional climate changes over Europe as simulated by 10 regional climate models within the context of PRUDENCE requires a careful investigation of possible systematic biases in the models. The purpose of this paper is to identify how the main model systematic biases vary across the different models. Two fundamental aspects of model validation are addressed here: the ability to simulate (1) the long-term (30 or 40 years) mean climate and (2) the inter-annual variability. The analysis concentrates on near-surface air temperature and precipitation over land and focuses mainly on winter and summer. In general, there is a warm bias with respect to the CRU data set in these extreme seasons and a tendency to cold biases in the transition seasons. In winter the typical spread (standard deviation) between the models is 1 K. During summer there is generally a better agreement between observed and simulated values of inter-annual variability although there is a relatively clear signal that the modeled temperature variability is larger than suggested by observations, while precipitation variability is closer to observations. The areas with warm (cold) bias in winter generally exhibit wet (dry) biases, whereas the relationship is the reverse during summer (though much less clear, coupling warm (cold) biases with dry (wet) ones). When comparing the RCMs with their driving GCM, they generally reproduce the large-scale circulation of the GCM though in some cases there are substantial differences between regional biases in surface temperature and precipitation.

AB - The analysis of possible regional climate changes over Europe as simulated by 10 regional climate models within the context of PRUDENCE requires a careful investigation of possible systematic biases in the models. The purpose of this paper is to identify how the main model systematic biases vary across the different models. Two fundamental aspects of model validation are addressed here: the ability to simulate (1) the long-term (30 or 40 years) mean climate and (2) the inter-annual variability. The analysis concentrates on near-surface air temperature and precipitation over land and focuses mainly on winter and summer. In general, there is a warm bias with respect to the CRU data set in these extreme seasons and a tendency to cold biases in the transition seasons. In winter the typical spread (standard deviation) between the models is 1 K. During summer there is generally a better agreement between observed and simulated values of inter-annual variability although there is a relatively clear signal that the modeled temperature variability is larger than suggested by observations, while precipitation variability is closer to observations. The areas with warm (cold) bias in winter generally exhibit wet (dry) biases, whereas the relationship is the reverse during summer (though much less clear, coupling warm (cold) biases with dry (wet) ones). When comparing the RCMs with their driving GCM, they generally reproduce the large-scale circulation of the GCM though in some cases there are substantial differences between regional biases in surface temperature and precipitation.

U2 - 10.1007/s10584-006-9213-4

DO - 10.1007/s10584-006-9213-4

M3 - Journal article

AN - SCOPUS:34248216067

VL - 81

SP - 31

EP - 52

JO - Climatic Change

JF - Climatic Change

SN - 0165-0009

IS - Suppl. 1

ER -

ID: 186941671