Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD028196 |
Regional Regime-Based Evaluation of Present-Day General Circulation Model Cloud Simulations Using Self-Organizing Maps | |
Schuddeboom, Alex1; McDonald, Adrian J.1; Morgenstern, Olaf2; Harvey, Mike2; Parsons, Simon1 | |
2018-04-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:8页码:4259-4272 |
文章类型 | Article |
语种 | 英语 |
国家 | New Zealand |
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. |
英文关键词 | self-organizing maps clouds MODIS radiation model evaluation climate models |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000433071200025 |
WOS关键词 | WEATHER STATES ; CMIP5 MODELS ; PRODUCTS ; SYSTEM ; EXAMPLES ; BUDGETS ; BIASES ; TERRA ; CERES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33705 |
专题 | 气候变化 |
作者单位 | 1.Univ Canterbury, Dept Phys & Astron, Christchurch, New Zealand; 2.Natl Inst Water & Atmospher Res, Wellington, New Zealand |
推荐引用方式 GB/T 7714 | Schuddeboom, Alex,McDonald, Adrian J.,Morgenstern, Olaf,et al. Regional Regime-Based Evaluation of Present-Day General Circulation Model Cloud Simulations Using Self-Organizing Maps[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(8):4259-4272. |
APA | Schuddeboom, Alex,McDonald, Adrian J.,Morgenstern, Olaf,Harvey, Mike,&Parsons, Simon.(2018).Regional Regime-Based Evaluation of Present-Day General Circulation Model Cloud Simulations Using Self-Organizing Maps.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(8),4259-4272. |
MLA | Schuddeboom, Alex,et al."Regional Regime-Based Evaluation of Present-Day General Circulation Model Cloud Simulations Using Self-Organizing Maps".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.8(2018):4259-4272. |
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