An optimum initial manifold for improved skill and lead in long-range forecasting of monsoon variability
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-021-03589-x.pdf
Reference37 articles.
1. Abhilash S, Sahai AK, Borah N, Chattopadhyay R, Joseph S, Sharmila S, de S, Goswami BN, Kumar A (2014) Prediction and monitoring of monsoon intraseasonal oscillations over Indian monsoon region in an ensemble prediction system using CFSv2. Clim Dyn 42:2801–2815. https://doi.org/10.1007/s00382-013-2045-9
2. Buizza R (1997) Potential forecast skill of ensemble prediction, and spread and skill distribution of the ECMWF Ensemble Prediction System. Mon Weather Rev 125:99–119
3. Buizza R, Hollingsworth A, Lalaurette F, Ghelli A (1999a) Probabilistic predictions of precipitation using the ECMWF Ensemble Prediction System. Weather Forecast 14:168–189
4. Buizza R, Miller M, Palmer TN (1999b) Stochastic representation of modeluncertainties in the ECMWF Ensemble Prediction System. Q J R Meteorol Soc 125:2887–2908. https://doi.org/10.1002/qj.49712556006
5. Goswami BN (1998) Interannual variations of Indian summer monsoon in a GCM: external conditions versus internal feedbacks. J Clim 11:501–522
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1. Observed impacts of the North Pacific Victoria Mode on Indian summer monsoon onset;Atmospheric Research;2024-01
2. Correction to: An optimum initial manifold for improved skill and lead in long-range forecasting of monsoon variability;Theoretical and Applied Climatology;2021-04-02
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