A novel selection method of CMIP6 GCMs for robust climate projection-Reference-Cited by-同舟云学术

A novel selection method of CMIP6 GCMs for robust climate projection

Published:2021-12-07 Issue: Volume: Page:
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int J Climatol

Author:

Hamed Mohammed Magdy¹²^ORCID,Nashwan Mohamed Salem³^ORCID,Shahid Shamsuddin²^ORCID

Affiliation:

1. Construction and Building Engineering Department College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT) Giza Egypt

2. Department of Hydraulics and Hydrology, School of Civil Engineering, Faculty of Engineering Universiti Teknologi Malaysia (UTM) Johor Malaysia

3. Construction and Building Engineering Department College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT) Cairo Egypt

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7461

Reference58 articles.

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3. Multi‐model ensemble predictions of precipitation and temperature using machine learning algorithms;Ahmed K.;Atmospheric Research,2020

4. Fidelity assessment of general circulation model simulated precipitation and temperature over Pakistan using a feature selection method;Ahmed K.;Journal of Hydrology,2019

5. Parametric assessment of seasonal drought risk to crop production in Bangladesh;Alamgir M.;Sustainability,2019

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