DOI: 10.1007/s00382-014-2336-9
Scopus记录号: 2-s2.0-84932197898
论文题名: Influence of ENSO SSTs on the spread of the probability density function for precipitation and land surface temperature
作者: Chen M. ; Kumar A.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期: 2017-03-04 起始页码: 965
结束页码: 974
语种: 英语
英文关键词: Land surface temperature
; Probability density function
; Rainfall
; Seasonal mean predictability
英文摘要: The impact of the interannual variations in ENSO SSTs on the spread of probability density function (PDF) for the seasonal mean of variables of societal relevance are analyzed based on a large set of the hindcasts from NCEP CFSv2. The study is focused on the analysis of global rainfall and 2-m temperature over land (T2m) for December–January–February (DJF) seasonal mean. For rainfall, the spatial distribution of the ENSO SST induced changes on the spread of PDF strongly resembles changes in the mean but have a smaller amplitude. Over the central-eastern equatorial Pacific, changes in the spread lead to a reduction in signal-to-noise ratio (SNR) during El Niño years while to an increase in the SNR during La Niña years. Over extratropics, year to year changes in the spread are relatively small. For T2m, the changes in spread have little systematic dependence on the ENSO SSTs and the amplitudes of the changes in spread are much smaller than corresponding changes in the ensemble mean. The results demonstrate small systematic year to year variations in the PDF spread, for example over extratropics for rainfall and over most of global land areas for T2m, and indicate that it might be a good practice in seasonal predictions to assume that the spread of seasonal means from year to year is constant and the skill in seasonal forecast information resides primarily in the shift of the first moment of the seasonal mean of the PDF. © 2014, Springer-Verlag (outside the USA). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54013
Appears in Collections: 过去全球变化的重建
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作者单位: National Oceanic and Atmospheric Administration, Climate Prediction Center, National Centers for Environmental Prediction, RM#3011, W/NP52, 5830 University Research Court, College Park, MD, United States
Recommended Citation:
Chen M.,Kumar A.. Influence of ENSO SSTs on the spread of the probability density function for precipitation and land surface temperature[J]. Climate Dynamics,2015-01-01,45(2017-03-04)