Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information-Reference-Cited by-同舟云学术

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

Published:2017-04 Issue:4 Volume:53 Page:2786-2812
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Yang Tiantian¹²^ORCID,Asanjan Ata Akbari¹^ORCID,Welles Edwin²,Gao Xiaogang¹,Sorooshian Soroosh¹^ORCID,Liu Xiaomang³^ORCID

Affiliation:

1. Department of Civil and Environmental EngineeringCenter for Hydrometeorology and Remote Sensing [CHRS], University of California‐IrvineIrvine California USA

2. Deltares USA Inc.Silver Spring Maryland USA

3. Key Laboratory of Water Cycle and Related Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesBeijing China

Funder

U.S. Department of Energy

Army Research Office

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017WR020482

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