Editorial: Hydrological modeling, analyses, and predictions: Opportunities and challenges

被引：0
|
作者：
Siddique, Ridwan [1 ]
Sharma, Sanjib [2 ]
McCreight, James [3 ]
机构：
[1] Elect Power Res Institue, Palo Alto, CA 94304 USA
[2] Penn State Univ, Earth & Environm Syst Inst, Coll Earth & Mineral Sci, University Pk, PA USA
[3] Natl Ctr Atmospher Res, Boulder, CO USA
来源：
FRONTIERS IN WATER | 2023年 / 4卷
关键词：
water and hydrocomplexity; hydrologic modeling; hydrologic forecasting; machine learning; uncertainty;
D O I：
10.3389/frwa.2022.1121534
中图分类号：
TV21 [水资源调查与水利规划];
学科分类号：
081501 ;
摘要：
引用
收藏
页数：2
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