Streamflow Prediction Under Climate Change Scenarios (CMIP6) Using Improved Machine Learning Technics

Climate change is one of the most significant factors affecting global water resources and has become a primary global challenge in recent decades. In this study, the MRI-ESM2-0, CMCC-ESM2, and MPI-ESM1-2-LR models were selected from 11 CMIP6 GCMs bas

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Published
2025-08-25
DOI
https://doi.org/10.22541/au.175612171.12017364/v1
Primary Topic
Hydrological Forecasting Using AI
Type
article
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article

Streamflow Prediction Under Climate Change Scenarios (CMIP6) Using Improved Machine Learning Technics

Hojat Karami, Ali Akbar Eatesam, khosro Hosseyni
Hydrological Forecasting Using AI
article

Streamflow Prediction Under Climate Change Scenarios (CMIP6) Using Improved Machine Learning Technics

Hojat Karami, Ali Akbar Eatesam, khosro Hosseyni
article en

Abstract

Climate change is one of the most significant factors affecting global water resources and has become a primary global challenge in recent decades. In this study, the MRI-ESM2-0, CMCC-ESM2, and MPI-ESM1-2-LR models were selected from 11 CMIP6 GCMs bas

Semnan University (IR)
Climate action
Openalex Percentile: Top 80%
Hydrological Forecasting Using AI
DOIOpen Access PDFOpenAlex
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Streamflow Prediction Under Climate Change Scenarios (CMIP6) Using Improved Machine Learning Technics — Hojat Karami, Ali Akbar Eatesam, et al. · (2025) | TGRS Research Map | TGRS