DOI: 10.1002/2017JD028196
Scopus记录号: 2-s2.0-85047472096
论文题名: Regional Regime-Based Evaluation of Present-Day General Circulation Model Cloud Simulations Using Self-Organizing Maps
作者: Schuddeboom A. ; McDonald A.J. ; Morgenstern O. ; Harvey M. ; Parsons S.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 8 起始页码: 4259
结束页码: 4272
语种: 英语
英文关键词: climate models
; clouds
; model evaluation
; MODIS
; radiation
; self-organizing maps
Scopus关键词: atmospheric general circulation model
; climate modeling
; cloud cover
; cloud radiative forcing
; geographical distribution
; histogram
; map
; model test
; MODIS
; optical depth
; simulation
英文摘要: Global clusters are derived by applying the self-organizing map technique to the Moderate Resolution Imaging Spectroradiometer cloud top pressure-cloud optical thickness joint histograms. These cloud clusters are then used to classify Cloud Feedback Model Intercomparison Project Observation Simulator Package output from the HadGEM3 (Global Atmosphere version 7) atmosphere-only climate model. Discrepancies in the Global Atmosphere version 7 representation of particular clusters can be established by examining the two sets of cluster's occurrence rate and radiative effect. The overall differences in the occurrence rates show major discrepancies in several of the clusters, resulting in a shift from five dominant clusters in Moderate Resolution Imaging Spectroradiometer (above 10% occurrence rate) to two dominant clusters in the model. A comparison of the geographic distributions of occurrence rate shows that the differences are strongly regional and unique to each cluster. While comparisons of the global mean longwave and shortwave cloud radiative effect (CRE) show strong agreement, examination of the CRE of individual cloud types reveals larger errors that highlight the role of compensating errors in masking model deficiencies. CRE data for each of the clusters is further partitioned into regions. This establishes that the bias associated with a cluster is highly variable globally, with no clusters showing consistent biases across all regions. Therefore, regional level phenomena likely play an important role in the creation of these errors. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114055
Appears in Collections: 气候减缓与适应
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作者单位: Department of Physics and Astronomy, University of Canterbury, Christchurch, New Zealand; National Institute of Water and Atmospheric Research, Wellington, New Zealand
Recommended Citation:
Schuddeboom A.,McDonald A.J.,Morgenstern O.,et al. Regional Regime-Based Evaluation of Present-Day General Circulation Model Cloud Simulations Using Self-Organizing Maps[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(8)