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A New Ensemble Index for Extracting Predictable Drought Features from Multiple Historical Simulations of Climate Cover

A New Ensemble Index for Extracting Predictable Drought Features from Multiple Historical Simulations of Climate

Open Access
|Apr 2022

Authors

Sun Yuanbin

270691836@qq.com

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University, Nanjing 210098

Sadia Qamar

diyaqau@gmail.com

Department of Statistics, University of Sargodha

Zulfiqar Ali

zulfiqarali@stat.qau.edu.pk

State Key Laboratory of Hydro-Science and Engineering and Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, CN; Department of Statistics, University of Sialkot

Tao Yang

tao.yang@hhu.edu.cn

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University, Nanjing 210098

Amna Nazeer

amna.nazeer@comsats.edu.pk

Department of Statistics, COMSATS University, Islamabad

Rabia Fayyaz

rabia_fayyaz@comsats.edu.pk

Department of Statistics, COMSATS University, Islamabad
DOI: https://doi.org/10.16993/tellusa.46 | Journal eISSN: 3035-9554
Language: English
Page range: 236 - 249
Submitted on: Mar 10, 2022
Accepted on: Mar 10, 2022
Published on: Apr 21, 2022
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2022 Sun Yuanbin, Sadia Qamar, Zulfiqar Ali, Tao Yang, Amna Nazeer, Rabia Fayyaz, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.