GSTDTAP  > 气候变化
DOI10.1029/2020GL091465
Predicting the interannual variability of California’s total annual precipitation
Rui Cheng; Lenka Novak; Tapio Schneider
2021-03-22
发表期刊Geophysical Research Letters
出版年2021
英文摘要

Understanding and predicting precipitation characteristics on seasonal and longer timescales can help California prepare for long‐term droughts and precipitation extremes. We find that interannual variations in total precipitation across California are primarily determined by precipitation frequency. As was shown previously for total precipitation, the precipitation frequency is linked to the North Pacific jet stream location. This indicates that California precipitation frequency is primarily controlled by where the jet guides precipitating weather systems, rather than by how moist or energetic the systems are. The jet’s position, in turn, depends on the states of the El Niño‐Southern Oscillation (ENSO) and of the Pacific Decadal Oscillation (PDO). We use this to construct a regression model that predicts variations in California annual total precipitation and precipitation frequency. Up to 20% of the wintertime precipitation variance in Southern California is predictable using decorrelated ENSO and PDO indices in the previous summer.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/320994
专题气候变化
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GB/T 7714
Rui Cheng,Lenka Novak,Tapio Schneider. Predicting the interannual variability of California’s total annual precipitation[J]. Geophysical Research Letters,2021.
APA Rui Cheng,Lenka Novak,&Tapio Schneider.(2021).Predicting the interannual variability of California’s total annual precipitation.Geophysical Research Letters.
MLA Rui Cheng,et al."Predicting the interannual variability of California’s total annual precipitation".Geophysical Research Letters (2021).
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