On the suitability of regional climate models for reconstructing climatologies
This paper discusses the potential of Regional Climate Models (RCMs) as reanalysis tools by presenting a reconstruction of the European climate using several RCMs with diverse physical parameterizations. The use of RCMs is intended to increase the spatial resolution of the analysis provided by Globa...
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Published in | Atmospheric research Vol. 101; no. 3; pp. 739 - 751 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.08.2011
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 0169-8095 1873-2895 |
DOI | 10.1016/j.atmosres.2011.05.001 |
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Abstract | This paper discusses the potential of Regional Climate Models (RCMs) as reanalysis tools by presenting a reconstruction of the European climate using several RCMs with diverse physical parameterizations. The use of RCMs is intended to increase the spatial resolution of the analysis provided by Global Models through dynamic downscaling. At the same time, the use of several models allows us to characterize the uncertainties, as these can be estimated from the spread of the ensemble. When the RCMs are nested in reanalyses instead of in a Global Model it is possible to create climatologies of unprecedented robustness for variables such as temperature, precipitation, wind speed, and humidity, among others. While these climatologies are subject to further improvement as methods and computing power evolve, they point the way forward to the development of atmospheric information products suitable for a variety of studies including education, agriculture, renewable energies and climate change research, biogeography, insurance, risk assessment, hydrology, and regional planning.
► RCM climatologies present differences when compared with classical ones. ► RCMs can provide the best available view of the 3D climatology over a region. ► RCMs point the way forward to the development of new atmospheric information products. |
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AbstractList | This paper discusses the potential of Regional Climate Models (RCMs) as reanalysis tools by presenting a reconstruction of the European climate using several RCMs with diverse physical parameterizations. The use of RCMs is intended to increase the spatial resolution of the analysis provided by Global Models through dynamic downscaling. At the same time, the use of several models allows us to characterize the uncertainties, as these can be estimated from the spread of the ensemble. When the RCMs are nested in reanalyses instead of in a Global Model it is possible to create climatologies of unprecedented robustness for variables such as temperature, precipitation, wind speed, and humidity, among others. While these climatologies are subject to further improvement as methods and computing power evolve, they point the way forward to the development of atmospheric information products suitable for a variety of studies including education, agriculture, renewable energies and climate change research, biogeography, insurance, risk assessment, hydrology, and regional planning.
► RCM climatologies present differences when compared with classical ones. ► RCMs can provide the best available view of the 3D climatology over a region. ► RCMs point the way forward to the development of new atmospheric information products. This paper discusses the potential of Regional Climate Models (RCMs) as reanalysis tools by presenting a reconstruction of the European climate using several RCMs with diverse physical parameterizations. The use of RCMs is intended to increase the spatial resolution of the analysis provided by Global Models through dynamic downscaling. At the same time, the use of several models allows us to characterize the uncertainties, as these can be estimated from the spread of the ensemble. When the RCMs are nested in reanalyses instead of in a Global Model it is possible to create climatologies of unprecedented robustness for variables such as temperature, precipitation, wind speed, and humidity, among others. While these climatologies are subject to further improvement as methods and computing power evolve, they point the way forward to the development of atmospheric information products suitable for a variety of studies including education, agriculture, renewable energies and climate change research, biogeography, insurance, risk assessment, hydrology, and regional planning. |
Author | Angelis, Carlos F. Viltard, Nicolas Cuartero, Fernando Tapiador, Francisco J. de Castro, Manuel |
Author_xml | – sequence: 1 givenname: Francisco J. surname: Tapiador fullname: Tapiador, Francisco J. email: francisco.tapiador@uclm.es organization: Department of Environmental Sciences, University of Castilla—La Mancha (UCLM), Spain – sequence: 2 givenname: Carlos F. surname: Angelis fullname: Angelis, Carlos F. email: angelis@cptec.inpe.br organization: Centro de Previsão de Tempo e Estudos Climáticos (CPTEC), INPE, Brazil – sequence: 3 givenname: Nicolas surname: Viltard fullname: Viltard, Nicolas email: nicolas.viltard@cetp.ipsl.fr organization: ETP-CNRS-UVSQ, France – sequence: 4 givenname: Fernando surname: Cuartero fullname: Cuartero, Fernando email: fernando.cuartero@uclm.es organization: Department of Computing Systems, University of Castilla—La Mancha (UCLM), Spain – sequence: 5 givenname: Manuel surname: de Castro fullname: de Castro, Manuel email: manuel.castro@uclm.es organization: Department of Environmental Sciences, University of Castilla—La Mancha (UCLM), Spain |
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Cites_doi | 10.1029/JD092iD08p09571 10.1029/2007JD009214 10.1016/j.atmosres.2010.07.016 10.1016/j.atmosres.2006.01.009 10.1175/2008JCLI2713.1 10.1175/2009JCLI2956.1 10.1016/j.atmosres.2008.09.033 10.1007/s10584-006-9228-x 10.1016/j.atmosres.2010.01.011 10.1016/j.atmosres.2009.12.008 10.1016/j.atmosres.2010.04.014 10.1175/1520-0450(2001)040<0957:RVPOLH>2.0.CO;2 10.1002/qj.49712757604 10.1007/s00382-008-0502-7 10.1016/j.atmosres.2010.09.015 10.1175/2008MWR2707.1 10.1111/j.1600-0870.2009.00389.x 10.1029/JD095iD11p18413 10.1029/2010EO020001 10.1029/2008GL035694 10.3354/cr00973 10.1256/qj.04.176 10.1016/j.atmosres.2008.11.006 10.1175/2008JCLI2494.1 10.1175/1525-7541(2002)003<0249:GLPAYM>2.0.CO;2 10.1175/2008JCLI2703.1 10.1175/1520-0450(1998)037<0356:BEIPMR>2.0.CO;2 10.1007/s10584-006-9224-1 10.2151/jmsj.85.369 10.1175/1520-0442(1997)010<1099:DOLSPC>2.0.CO;2 10.1126/science.1058761 10.1016/j.atmosres.2009.11.007 10.1016/j.atmosres.2007.09.005 10.1175/JCLI3863.1 10.1175/1520-0442(1999)012<0829:RTCSTC>2.0.CO;2 10.1039/b914121a 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 10.3354/cr003177 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2 |
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SubjectTerms | Atmospherics biogeography climate climate change Climate models Climatologies Climatology Earth Sciences Earth, ocean, space education Environmental Sciences Exact sciences and technology External geophysics Global Changes humidity hydrology insurance Mathematical analysis Mathematical models Meteorology Parametrization planning RCM Reanalysis Regional Regional climate models risk assessment Sciences of the Universe temperature wind speed |
Title | On the suitability of regional climate models for reconstructing climatologies |
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