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DOI10.1007/s00382-017-3657-2
Temperature trends and prediction skill in NMME seasonal forecasts
Krakauer N.Y.
发表日期2019
ISSN0930-7575
起始页码7201
结束页码7213
卷号53期号:12
英文摘要The North American Multi-Model Ensemble (NMME) provides hindcasts and real-time predictions for monthly mean climate fields at lead times of up to a year. These global climate model outputs can be useful in constructing improved seasonal forecasts. Here, several simple methods are developed and evaluated for forecasting monthly temperatures up to a year in advance based on either unweighted or weighted NMME outputs, and compared to previously developed statistical forecast methods that use only time series of past observations. It is found that the NMME-based methods produce forecast temperature probability distributions that are appropriately shifted toward the warm end of past experience and also show skill at representing interannual variability. NMME-based methods clearly outperformed purely statistical methods for forecasting temperatures over ocean, though over land this improvement is less clear over the evaluation period tested. The NMME seasonal forecasts may be particularly useful for giving early warning of heat waves, given their societal significance and higher conditional skill under those conditions. © 2017, Springer-Verlag Berlin Heidelberg.
英文关键词Berkeley Earth; Heat waves; NMME; Seasonal forecasting; Temperature
语种英语
scopus关键词air temperature; climate modeling; heat wave; prediction; probability; weather forecasting
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/145837
作者单位Department of Civil Engineering, The City College of New York, New York, NY, United States
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Krakauer N.Y.. Temperature trends and prediction skill in NMME seasonal forecasts[J],2019,53(12).
APA Krakauer N.Y..(2019).Temperature trends and prediction skill in NMME seasonal forecasts.Climate Dynamics,53(12).
MLA Krakauer N.Y.."Temperature trends and prediction skill in NMME seasonal forecasts".Climate Dynamics 53.12(2019).
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