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Improving Subseasonal to Seasonal Global 2-m Temperature and Precipitation Forecasts Using a Deep Learning–Based Postprocessing Approach.

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Bibliographic Details
Title: Improving Subseasonal to Seasonal Global 2-m Temperature and Precipitation Forecasts Using a Deep Learning–Based Postprocessing Approach.
Authors: Mengist, Chalachew Kindie1,2, Seo, Kyong-Hwan1,2,3, khseo@pusan.ac.kr
Source: Monthly Weather Review; Mar2026, Vol. 154 Issue 3, p391-405, 15p
Database: Applied Science & Technology Source
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Description
ISSN:00270644
DOI:10.1175/MWR-D-25-0179.1