Spatial downscaling of precipitation using adaptable random forests

被引：0
|
作者：
He, Xiaogang [1 ]
Chaney, Nathaniel W. [1 ,2 ]
Schleiss, Marc [1 ]
Sheffield, Justin [1 ,3 ]
机构：
[1] Department of Civil and Environmental Engineering, Princeton University, Princeton,NJ, United States
[2] Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton,NJ, United States
[3] Geography and Environment, University of Southampton, Southampton, United Kingdom
来源：
Water Resources Research | 2016年 / 52卷 / 10期
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Binary trees - Precipitation (meteorology) - Learning systems - Artificial intelligence
引用
收藏
页码：8217 / 8237
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