Improving the Skill of Subseasonal to Seasonal (S2S) Wind Speed Forecasts Over India Using Statistical and Machine Learning Methods

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 4
• Main Authors: Das, Aheli, Reddy, Dondeti Pranay, Baidya Roy, Somnath
• Format: Journal Article
• Language: English
• Published: Wiley 01.12.2024
• Subjects: AI/ML; calibration; statistical methods; subseasonal to seasonal (S2S) scale; wind speeds
• ISSN: 2993-5210; 2993-5210
• DOI: 10.1029/2024JH000187

This study demonstrates a framework to improve the skill of raw 10 m wind speed forecasts from numerical models at the subseasonal to seasonal (S2S) time scales. Monthly mean 10 m wind speeds from the ECMWF‐SEAS5 are calibrated using JRA‐55 as reference by employing three statistical methods, bias‐a...