Predicting compound agricultural drought and hot events using a Cascade Modeling framework combining Bayesian Model Averaging ensemble with Vine Copula (CaMBMAViC)-Reference-Cited by-同舟云学术

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Predicting compound agricultural drought and hot events using a Cascade Modeling framework combining Bayesian Model Averaging ensemble with Vine Copula (CaMBMAViC)

Published:2024-10 Issue: Volume:642 Page:131901
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Wu Haijiang^ORCID,Su Xiaoling^ORCID,Singh Vijay P.,Niu Jiping

Publisher

Elsevier BV

Reference80 articles.

1. Models for construction of multivariate dependence – a comparison study;Aas;Eur. J. Financ.,2009

2. Pair-copula constructions of multiple dependence;Aas;Insurance Math. Econom.,2009

3. Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction;Abbaszadeh;Agric. For. Meteorol.,2022

4. High Resolution Forecasting of Summer Drought in the Western United States;Abolafia-Rosenzweig;Water Resour. Res.,2023

5. Climate Extremes and Compound Hazards in a Warming World;AghaKouchak;Annu. Rev. Earth Planet. Sci.,2020

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