A metrics‐based analysis of seasonal daily precipitation and near‐surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains

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 m...

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Bibliographic Details
Published in:Atmospheric science letters 2019-05, Vol.20 (5), p.n/a
Main Authors: Glisan, Justin M., Jones, Richard, Lennard, Chris, Castillo Pérez, Nadia I., Lucas‐Picher, Philippe, Rinke, Annette, Solman, Silvina, Gutowski, William J.
Format: Article
Language:English
Subjects:
Accuracy
analysis
application/context
Atmospheric sciences
Bias
Climate
Climate models
Climatology
Computer simulation
Correlation coefficient
Correlation coefficients
Daily precipitation
Datasets
Domains
Mean daily precipitation
physical phenomenon
Precipitation
rainfall
Regional climate models
Regional climates
scale
seasonal
seasonal prediction
Seasons
Studies
Surface temperature
tools and methods
Topography (geology)
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Summary: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. CORDEX analysis regions (black polygons), which includes North America, South America, Europe, Africa, East Asia, Southeast Asia, and Arctic (lower left inset box).
ISSN:1530-261X
1530-261X
DOI:10.1002/asl.897