Abstract
Seasonal forecasting models have a harder time accurately predicting regional precipitation anomalies in East Asia than the large-scale drivers of these precipitation anomalies. These large-scale drivers include both sea surface temperature (SST) anomalies and conditions in the polar stratosphere. A maximum covariance analysis is used to isolate the SST and stratospheric patterns most associated with anomalous East Asian precipitation, which are employed to correct seasonal forecasts by projecting the forecasted stratospheric circulation and SST onto the observed combined modes. The nonuniform predictability of East Asian rainfall in seasonal forecast models is improved after error correction with the observed linkage between the stratosphere–tropical ocean modes and East Asian rainfall. This method should be helpful for improving rainfall forecasts in other regions as well.
Original language | American English |
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Article number | e2022GL101360 |
Journal | Geophysical Research Letters |
Volume | 50 |
Issue number | 1 |
DOIs | |
State | Published - 16 Jan 2023 |
Bibliographical note
Funding Information:This work was supported by the National Natural Science Foundation of China (Grant 42030605 and 42175069), the ISF‐NSFC joint research program (3259/19). The authors thank several agencies for providing their free multiple databases.
Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant 42030605 and 42175069), the ISF-NSFC joint research program (3259/19). The authors thank several agencies for providing their free multiple databases.
Publisher Copyright:
© 2022. The Authors.
Keywords
- East Asian rainfall
- combined modes
- error correction
- seasonal forecast models