An overview of the Satellite Consensus (SATCON) algorithm to estimate tropical cyclone intensity over the North Indian Ocean
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12040-022-01901-5.pdf
Reference31 articles.
1. Ahmed R, Mohapatra M, Dwivedi S and Giri R K 2021a Characteristic features of Super Cyclone ‘AMPHAN’ – observed through satellite images; Trop. Cyclone Res. Rev. 10(1) 16–31.
2. Ahmed R, Mohapatra M, Giri R K and Dwivedi S 2021b An evaluation of Advanced Dvorak Technique (9.0) for the tropical cyclones over the North Indian Ocean; Trop. Cyclone Res. Rev. 10(4) 207–214.
3. Bankert R L and Cossuth J 2016 Tropical cyclone intensity estimation via passive microwave data features. 32nd Conf. on Hurricanes and Tropical Meteorology, San Juan, Puerto Rico; Amer. Meteor. Soc. (AMS supported meetings (confex.com)).
4. Brueske K F and Velden C 2003 Satellite-based tropical cyclone intensity estimation using the NOAA-KLM series advanced microwave sounding unit (AMSU); Mon. Wea. Rev. 131 687–697.
5. Chen B-F, Chen B, Lin H-T and Elsberry R L 2019 Estimating tropical cyclone intensity by Satellite Imagery utilizing convolutional neural networks; Wea. Forecasting 34 447–465. https://doi.org/10.1175/WAF-D-18-0136.1.
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1. Analyze the SATCON algorithm’s capability to estimate tropical storm intensity across the West Pacific basin;Journal of Earth System Science;2024-04-10
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