Evaluation of summer precipitation over Far East Asia and South Korea simulated by multiple regional climate models

The evaluation of climate model performance is necessary to enhance the reliability of available models. Recently, the interest in the added value has been increasing due to the continued enhancement of the horizontal model resolution for dynamical downscaling. We have examined the simulation perfor...

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Bibliographic Details
Published in:International journal of climatology 2020-03, Vol.40 (4), p.2270-2284
Main Authors: Park, Changyong, Cha, Dong‐Hyun, Kim, Gayoung, Lee, Gil, Lee, Dong‐Kyou, Suh, Myoung‐Seok, Hong, Song‐You, Ahn, Joong‐Bae, Min, Seung‐Ki
Format: Article
Language:English
Subjects:
added value
Atmospheric precipitations
Climate
Climate models
Computer simulation
Far East Asia
Global climate
Global climate models
Heavy rainfall
model evaluation
Performance evaluation
Precipitation
Rain
Regional analysis
regional climate model
Regional climate models
Regional climates
Reliability analysis
Resolution
South Korea
Spatial discrimination
Spatial resolution
Summer
Summer climates
Summer precipitation
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Summary:The evaluation of climate model performance is necessary to enhance the reliability of available models. Recently, the interest in the added value has been increasing due to the continued enhancement of the horizontal model resolution for dynamical downscaling. We have examined the simulation performance of regional climate models (RCMs) forced by two global climate models (GCMs) for summer precipitation over Far East Asia and South Korea on the basis of spatial resolution improvement. In terms of model resolution, coarse‐resolution RCMs present limitations, whilst high‐resolution RCMs offer the added value as revealed by several performance evaluations. RCMs forced by HadGEM2‐AO estimated smaller summer precipitation over South Korea than those observed, whereas RCMs forced by MPI‐ESM‐LR presented a wet bias. Here, moderate‐heavy rain in RCMs forced by HadGEM2‐AO and light‐moderate rain in RCMs forced by MPI‐ESM‐LR were found to lead to dry and wet biases, respectively. Spatial distributions of summer precipitation climatology: (a, b) APHRODITE, (c–f) biases of GCMs, and (g–i) biases of MMEs of RCMs, and inter‐model agreements for simulated data sets over Far East Asia. The area‐averaged biases of Far East Asia and South Korea are expressed at the bottom of each panel. Stippling represents areas where all RCMs have the same bias sign.
ISSN:0899-8418
1097-0088
DOI:10.1002/joc.6331