季節雪中のブラックカーボンのグローバルな定量化:物理的および観測的に制約された機械学習フレームワーク
Yang Chen1, Shirui Yan1, Yaliang Hou1
1Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
新しいデュアルランダムフォレストモデルは、季節雪中のブラックカーボン(BCS)のグローバルデータセットを作成し、雪の暗化と雪解け予測の精度を向上させます。これにより、この重要な汚染物質の気候への影響の理解が深まります。
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