Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-018-4457-z |
Global precipitation hindcast quality assessment of the Subseasonal to Seasonal (S2S) prediction project models | |
de Andrade, Felipe M.; Coelho, Caio A. S.; Cavalcanti, Iracema F. A. | |
2019-05-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 52页码:5451-5475 |
文章类型 | Article |
语种 | 英语 |
国家 | Brazil |
英文摘要 | This study assessed subseasonal global precipitation hindcast quality from all Subseasonal to Seasonal (S2S) prediction project models. Deterministic forecast quality of weekly accumulated precipitation was verified using different metrics and hindcast data considering lead times up to 4weeks. The correlation scores were found to be higher during the first week and dropped as lead time increased, confining meaningful signals in the tropics mostly due to El Nino-Southern Oscillation and Madden-Julian Oscillation-related effects. The contribution of these two phenomena to hindcast quality was assessed by removing their regressed precipitation patterns from predicted fields. The model's rank showed ECMWF, UKMO, and KMA as the top scoring models even when using a single control member instead of the mean of all ensemble members. The lowest correlation was shared by CMA, ISAC, and HMCR for most weeks. Models with larger ensemble sizes presented noticeable reduction in correlation when subsampled to fewer perturbed members, showing the value of ensemble prediction. Systematic errors were measured through bias and variance ratio revealing in general large positive (negative) biases and variance overestimation (underestimation) over the tropical oceans (continents and/or extratropics). The atmospheric circulation hindcast quality was also examined suggesting the importance of using a relatively finer spatial resolution and a coupled model for resolving the tropical circulation dynamics, particularly for simulating tropical precipitation variability. The extratropical circulation hindcast quality was found to be low after the second week likely due to the inherent unpredictability of the extratropical variability and errors associated with model deficiencies in representing teleconnections. |
英文关键词 | Subseasonal prediction S2S prediction project models Hindcast quality Precipitation Teleconnections |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000465441400022 |
WOS关键词 | MADDEN-JULIAN OSCILLATION ; INTERTROPICAL CONVERGENCE ZONE ; FORECAST SKILL ; SOUTH-AMERICA ; VARIABILITY ; SUMMER ; TEMPERATURE ; PACIFIC ; TELECONNECTIONS ; FRAMEWORK |
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/182598 |
专题 | 气候变化 |
作者单位 | INPE, CPTEC, Rodovia Presidente Dutra,Km 40, BR-12630000 Cachoeira Paulista, SP, Brazil |
推荐引用方式 GB/T 7714 | de Andrade, Felipe M.,Coelho, Caio A. S.,Cavalcanti, Iracema F. A.. Global precipitation hindcast quality assessment of the Subseasonal to Seasonal (S2S) prediction project models[J]. CLIMATE DYNAMICS,2019,52:5451-5475. |
APA | de Andrade, Felipe M.,Coelho, Caio A. S.,&Cavalcanti, Iracema F. A..(2019).Global precipitation hindcast quality assessment of the Subseasonal to Seasonal (S2S) prediction project models.CLIMATE DYNAMICS,52,5451-5475. |
MLA | de Andrade, Felipe M.,et al."Global precipitation hindcast quality assessment of the Subseasonal to Seasonal (S2S) prediction project models".CLIMATE DYNAMICS 52(2019):5451-5475. |
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