Evaluation and comparison of the subseasonal prediction skill of Indian summer monsoon in IITM CFSv2 and UKMO GloSea5
Author:
Funder
Newton Fund
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00382-022-06650-1.pdf
Reference43 articles.
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2. Abhilash S, Mandal R, Dey A et al (2018) Role of enhanced synoptic activity and its interaction with intra-seasonal oscillations on the lower extended range prediction skill during 2015 monsoon season. Clim Dyn. https://doi.org/10.1007/s00382-018-4089-3
3. Best MJ, Pryor M, Clark DB et al (2011) The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes. Geosci Model Dev 4:677–699. https://doi.org/10.5194/gmd-4-677-2011
4. Blockley EW, Martin MJ, McLaren AJ et al (2014) Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts. Geosci Model Dev 7:2613–2638. https://doi.org/10.5194/gmd-7-2613-2014
5. Bowler NE, Arribas A, Beare SE et al (2009) The local ETKF and SKEB: Upgrades to the MOGREPS short-range ensemble prediction system. Q J R Meteorol Soc 135:767–776. https://doi.org/10.1002/qj.394
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1. Development of Indian summer monsoon precipitation biases in two seasonal forecasting systems and their response to large-scale drivers;Weather and Climate Dynamics;2024-04-30
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