Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD025953 |
Global seasonal precipitation forecasts using improved sea surface temperature predictions | |
Khan, Mohammad Zaved Kaiser; Sharma, Ashish; Mehrotra, Rajeshwar | |
2017-05-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:9 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia |
英文摘要 | Climate models driven by observed or modeled sea surface temperature (SST) or SST anomalies (SSTA) are used as a standard tool in seasonal climate predictions. This study investigates the merit of seasonal rainfall predictions obtained by using multimodel SSTA to drive a climate model over a single model case. The multimodel SSTA predictions are obtained by combining the predictions of five climate models, whereas the stand-alone model predictions come from the Predictive Ocean Atmosphere Model for Australia. The climate model used is the Australian Community Climate and Earth System Simulator (ACCESS). The use of multimodel SSTA over a single model shows marginal improvements in seasonal rainfall predictions across the entire globe. Further improvements in rainfall forecasts are possible either through improved parameterizations in the ACCESS model or by using another climate model. As a final step, the rainfall forecasts from the multimodel and the single model SSTA (two-member hierarchical rainfall forecasts, denoted as HIER) are combined and to gain further improvements over the individual multimodel or single model rainfall predictions for most of the grid cells in all seasons. |
英文关键词 | climate model precipitation seasonal forecast sea surface temperature |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000402039000002 |
WOS关键词 | RAINFALL FORECASTS ; STATISTICAL-MODELS ; GCM ENSEMBLES ; EL-NINO ; CLIMATE ; SST ; SKILL ; COMBINATIONS ; OSCILLATION ; ANOMALIES |
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/33112 |
专题 | 气候变化 |
作者单位 | Univ New South Wales, Sch Civil & Environm Engn, Sydney, NSW, Australia |
推荐引用方式 GB/T 7714 | Khan, Mohammad Zaved Kaiser,Sharma, Ashish,Mehrotra, Rajeshwar. Global seasonal precipitation forecasts using improved sea surface temperature predictions[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(9). |
APA | Khan, Mohammad Zaved Kaiser,Sharma, Ashish,&Mehrotra, Rajeshwar.(2017).Global seasonal precipitation forecasts using improved sea surface temperature predictions.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(9). |
MLA | Khan, Mohammad Zaved Kaiser,et al."Global seasonal precipitation forecasts using improved sea surface temperature predictions".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.9(2017). |
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