Agricultural Drought Prediction Based on Conditional Distributions of Vine Copulas-Reference-Cited by-同舟云学术

Agricultural Drought Prediction Based on Conditional Distributions of Vine Copulas

Published:2021-08 Issue:8 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Wu Haijiang¹²^ORCID,Su Xiaoling¹²^ORCID,Singh Vijay P.³^ORCID,Feng Kai¹^ORCID,Niu Jiping¹^ORCID

Affiliation:

1. College of Water Resources and Architectural Engineering Northwest A & F University Yangling China

2. Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education Northwest A & F University Yangling China

3. Department of Biological and Agricultural Engineering & Zachry Department of Civil and Environmental Engineering Texas A & M University College Station TX USA

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR029562

Reference81 articles.

1. Pair-copula constructions of multiple dependence

2. Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale

3. Climate Change and Drought: the Soil Moisture Perspective

4. Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy)

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