Probabilistic forecasting of Super Cyclone ‘Amphan’ using NCMRWF global and regional ensemble prediction systems-Reference-Cited by-同舟云学术

Probabilistic forecasting of Super Cyclone ‘Amphan’ using NCMRWF global and regional ensemble prediction systems

Published:2022-12-16 Issue:4 Volume:131 Page:
ISSN:0973-774X
Container-title:Journal of Earth System Science
language:en
Short-container-title:J Earth Syst Sci

Author:

Sarkar Abhijit,Prasad S Kiran,Mamgain Ashu,Dube Anumeha,Chakraborty Paromita^ORCID,Kumar Sushant,Karunasagar Sagili,Thota Mohana S,Shanker Gauri,Ashrit Raghavendra,Mitra A K

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12040-022-01985-z.pdf

Reference29 articles.

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3. Busireddy N K R, Nadimpalli R, Osuri K K, Kumar A, Mohanty U C and Niyogi D 2019 Impact of vortex size and Initialisation on prediction of land falling tropical cyclones over the Bay of Bengal; Atmos. Res. 224 18–29, https://doi.org/10.1016/j.atmosres.2019.03.014.

4. Chakraborty P, Sarkar A, Kumar S, George J P, Rajagopal E N and Bhatla R 2020 Assessment of NCMRWF Global Ensemble System with differing ensemble populations for Tropical cyclone prediction; Atmos. Res., https://doi.org/10.1016/j.atmosres.2020.105077.

5. DeMaria M, Sampso C R, Knaff J A and Musgrave K D 2014 Is tropical cyclone intensity guidance improving?; Bull. Am. Meteorol. Soc. 95 387–398, https://doi.org/10.1175/BAMS-D-12-00240.1.

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