Improving the MJO Forecast of S2S Operation Models by Correcting Their Biases in Linear Dynamics
Abstract The operational dynamic subseasonal to seasonal (S2S) models for Madden‐Julian oscillation (MJO) forecasting mostly still suffer from systematic errors in capturing the MJO's key dynamic features, such as its growth rate and propagation speed. By deriving the linear dynamic operators u...
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| Main Authors: | Jie Wu, Fei‐Fei Jin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
|
| Series: | Geophysical Research Letters |
| Online Access: | https://doi.org/10.1029/2020GL091930 |
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