A metrics‐based analysis of seasonal daily precipitation and near‐surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
Abstract
We compare ensemble mean daily precipitation and near‐surface temperatures from regional climate model simulations over seven Coordinated Regional Climate Downscaling Experiment domains for the winter and summer seasons. We use Taylor diagrams to show the domain‐wide pattern similarity between the model ensemble and the observational data sets. We use the Climatic Research Unit (CRU) and the University of Delaware gridded observations and ERA‐Interim reanalysis data as an additional observationally based estimate of historical climatology. Taylor diagrams determine the relative skill of the seven sets of simulations and quantify these results in terms of center pattern root‐mean square error and correlation coefficient. Results suggest that there is good agreement between the models and the CRU, in terms of their respective seasonal cycles, as shown in Taylor diagrams and bias plots. There is also good agreement between both gridded observation sets. In addition, downscaled ERA‐Interim precipitation is closer to observations than raw ERA‐Interim precipitation. Domains located in the low latitudes and those having high topography appear to have larger biases, especially precipitation.
- Authors:
-
- Department of Geological and Atmospheric Sciences Iowa State University Ames Iowa
- Met Office Hadley Centre Exeter UK
- Climate System Analysis Group, Environmental and Geographical Science Department University of Cape Town Cape Town South Africa
- CONICET–Universidad de Buenos Aires, Centro de Investigaciones del Mar y la Atmósfera CIMA/CONICET‐UBA Buenos Aires Argentina
- Department of Construction Engineering École de Technologie Supérieure, Université du Québec à Montréal Montreal Quebec Canada, Centre pour l'Étude et la Simulation du Climat à l'Échelle Régionale, Department of Earth and Atmospheric Sciences Université du Québec à Montreal Montreal Quebec Canada
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Potsdam Germany
- CONICET–Universidad de Buenos Aires, Centro de Investigaciones del Mar y la Atmósfera CIMA/CONICET‐UBA Buenos Aires Argentina, Departamento de Ciencias de la Atmósfera y los Océanos Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, DCAO‐FCEN‐UBA Buenos Aires Argentina
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1506709
- Alternate Identifier(s):
- OSTI ID: 1506710
- Grant/Contract Number:
- DEFG0207ER64463; DESC0016438
- Resource Type:
- Published Article
- Journal Name:
- Atmospheric Science Letters
- Additional Journal Information:
- Journal Name: Atmospheric Science Letters Journal Volume: 20 Journal Issue: 5; Journal ID: ISSN 1530-261X
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Glisan, Justin M., Jones, Richard, Lennard, Chris, Castillo Pérez, Nadia I., Lucas‐Picher, Philippe, Rinke, Annette, Solman, Silvina, and Gutowski, Jr., William J. A metrics‐based analysis of seasonal daily precipitation and near‐surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains. United Kingdom: N. p., 2019.
Web. doi:10.1002/asl.897.
Glisan, Justin M., Jones, Richard, Lennard, Chris, Castillo Pérez, Nadia I., Lucas‐Picher, Philippe, Rinke, Annette, Solman, Silvina, & Gutowski, Jr., William J. A metrics‐based analysis of seasonal daily precipitation and near‐surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains. United Kingdom. https://doi.org/10.1002/asl.897
Glisan, Justin M., Jones, Richard, Lennard, Chris, Castillo Pérez, Nadia I., Lucas‐Picher, Philippe, Rinke, Annette, Solman, Silvina, and Gutowski, Jr., William J. Thu .
"A metrics‐based analysis of seasonal daily precipitation and near‐surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains". United Kingdom. https://doi.org/10.1002/asl.897.
@article{osti_1506709,
title = {A metrics‐based analysis of seasonal daily precipitation and near‐surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains},
author = {Glisan, Justin M. and Jones, Richard and Lennard, Chris and Castillo Pérez, Nadia I. and Lucas‐Picher, Philippe and Rinke, Annette and Solman, Silvina and Gutowski, Jr., William J.},
abstractNote = {We compare ensemble mean daily precipitation and near‐surface temperatures from regional climate model simulations over seven Coordinated Regional Climate Downscaling Experiment domains for the winter and summer seasons. We use Taylor diagrams to show the domain‐wide pattern similarity between the model ensemble and the observational data sets. We use the Climatic Research Unit (CRU) and the University of Delaware gridded observations and ERA‐Interim reanalysis data as an additional observationally based estimate of historical climatology. Taylor diagrams determine the relative skill of the seven sets of simulations and quantify these results in terms of center pattern root‐mean square error and correlation coefficient. Results suggest that there is good agreement between the models and the CRU, in terms of their respective seasonal cycles, as shown in Taylor diagrams and bias plots. There is also good agreement between both gridded observation sets. In addition, downscaled ERA‐Interim precipitation is closer to observations than raw ERA‐Interim precipitation. Domains located in the low latitudes and those having high topography appear to have larger biases, especially precipitation.},
doi = {10.1002/asl.897},
journal = {Atmospheric Science Letters},
number = 5,
volume = 20,
place = {United Kingdom},
year = {Thu Apr 11 00:00:00 EDT 2019},
month = {Thu Apr 11 00:00:00 EDT 2019}
}
https://doi.org/10.1002/asl.897
Web of Science
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