Mutual information based weighted variance approach for uncertainty quantification of climate projections-Reference-Cited by-同舟云学术

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Mutual information based weighted variance approach for uncertainty quantification of climate projections

Published:2023 Issue: Volume:10 Page:102063
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Majhi Archana,Dhanya C.T.,Chakma Sumedha

Funder

Japan Meteorological Agency

Indian Institute of Technology Delhi

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference31 articles.

1. The potential to narrow uncertainty in regional climate predictions;Hawkins;Bull. Am. Meteorol. Soc.,2009

2. A simple, coherent framework for partitioning uncertainty in climate predictions;Yip;J. Clim.,2011

3. Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations;Kharin;J. Clim.,2007

4. Quantification of uncertainty in projections of extreme daily precipitation;Kim;Earth Sp. Sci.,2020

5. Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa;Ayugi;Int. J. Climatol.,2021

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1. Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble;Climatic Change;2024-07

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