<strong>Improving AMSR2 snow depth retrieval through interpretable machine learning for enhanced snow drought assessment </strong>

Kehan Yang

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW37] Global Drought Stress from Headwaters to Lowlands

2026年5月27日(水) 10:45 〜 12:15 101 (幕張メッセ国際会議場)

座長:Livneh Ben(University of Colorado Boulder)、Schilling S. Oliver(Hydrogeology, Department of Environmental Sciences, University of Basel, Switzerland)、Mankin S Justin(Dartmouth College)、Yulizar Yulizar(National Taiwan University)、Cook Benjamin(NASA Goddard Institute for Space Studies)

12:00 〜 12:15

[AHW37-06] Improving AMSR2 snow depth retrieval through interpretable machine learning for enhanced snow drought assessment

*Kehan Yang^1,2, Sujay V. Kumar², Goutam Konapala³, Justin M. Pflug^4,2, Carrie M. Vuyovich², Ehsan Jalilvand^5,2, Yeosang Yoon^5,2, Wegiel W. Jerry^5,2 (1. Science Systems and Applications, Inc., Lanham, MD, USA., 2. Hydrological Sciences Lab, NASA Goddard Flight Center, Greenbelt, MD, USA, 3. Pacific Northwest National Laboratory, Ames, Iowa, USA., 4. Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA, 5. Science Applications International Corporation, McLean, VA, USA.)

キーワード：Snow depth, Snow drought, AMSR2, Interpretable machine learning