Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-017-3658-1 |
Sub-seasonal prediction over East Asia during boreal summer using the ECCC monthly forecasting system | |
Liang, Ping1; Lin, Hai2 | |
2018-02-01 | |
发表期刊 | CLIMATE DYNAMICS
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ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 50页码:1007-1022 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Canada |
英文摘要 | A useful sub-seasonal forecast is of great societal and economical value in the highly populated East Asian region, especially during boreal summer when frequent extreme events such as heat waves and persistent heavy rainfalls occur. Despite recent interest and development in sub-seasonal prediction, it is still unclear how skillful dynamical forecasting systems are in East Asia beyond 2 weeks. In this study we evaluate the sub-seasonal prediction over East Asia during boreal summer in the operational monthly forecasting system of Environment and Climate Change Canada (ECCC).Results show that the climatological intra-seasonal oscillation (CISO) of East Asian summer monsoonis reasonably well captured. Statistically significant forecast skill of 2-meter air temperature (T2m) is achieved for all lead times up to week 4 (days 26-32) over East China and Northeast Asia, which is consistent with the skill in 500 hPa geopotential height (Z500). Significant forecast skill of precipitation, however, is limited to the week of days 5-11. Possible sources of predictability on the sub-seasonal time scale are analyzed. The weekly mean T2m anomaly over East China is found to be linked to an eastward propagating extratropical Rossby wave from the North Atlantic across Europe to East Asia. The Madden-Julian Oscillation (MJO) and El Nino-Southern Oscillation (ENSO) are also likely to influence the forecast skill of T2m at the sub-seasonal timescale over East Asia. |
英文关键词 | Sub-seasonal prediction Ensemble forecast Predictability East Asia |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425328700016 |
WOS关键词 | SURFACE AIR-TEMPERATURE ; ENSEMBLE KALMAN FILTER ; MULTISCALE GEM MODEL ; PART I ; DATA ASSIMILATION ; MONSOON ; MJO ; OSCILLATION ; FORMULATION |
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/36287 |
专题 | 气候变化 |
作者单位 | 1.China Meteorol Adm, Shanghai Climate Ctr, Shanghai, Peoples R China; 2.Rech Previs Numer Atmospher Environm & Climate Ch, 2121 Trans Canada Highway, Dorval, PQ H9P 1J3, Canada |
推荐引用方式 GB/T 7714 | Liang, Ping,Lin, Hai. Sub-seasonal prediction over East Asia during boreal summer using the ECCC monthly forecasting system[J]. CLIMATE DYNAMICS,2018,50:1007-1022. |
APA | Liang, Ping,&Lin, Hai.(2018).Sub-seasonal prediction over East Asia during boreal summer using the ECCC monthly forecasting system.CLIMATE DYNAMICS,50,1007-1022. |
MLA | Liang, Ping,et al."Sub-seasonal prediction over East Asia during boreal summer using the ECCC monthly forecasting system".CLIMATE DYNAMICS 50(2018):1007-1022. |
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