A statistical bias correction technique for global climate model predicted near-surface temperature in India using the generalized regression neural network | Citedby Results | Journal of Water and Climate Change | IWA Publishing

Skip to Main Content

Skip Nav Destination

A statistical bias correction technique for global climate model predicted near-surface temperature in India using the generalized regression neural network

Journal of Water and Climate Change (2022) 13 (2): 854–871.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

An Adaptive Neuro‐Fuzzy Inference System (ANFIS) and a Wavelet‐Integrated ANFIS (WANFIS) for Univariate Bias‐Correction of GCM‐Simulated Temperature

Avijit Paul
Monomoy Goswami

International Journal of Climatology (2025) 45 (7)

Future precipitation patterns: investigating the IDF curve shifts under CMIP6 pathways

Muhammad Ibrahim Khan
Fayaz Ahmad Khan
Afed Ullah Khan
Basir Ullah
Abdulnoor A. J. Ghanim
Ahmed M. Al-Areeq
Abubakr Taha Bakheit Taha

Journal of Hydroinformatics (2025) 27 (3): 357.

A Novel Approach for Identifying and Assessing MOR‐Based CMIP6 Model for Hydrological Analysis in an Ungauged Watershed

Dibyandu Roy
Anirban Dhar
Venkappayya R. Desai

Hydrological Processes (2024) 38 (10)

Performance evaluation and verification of post-processing methods for TIGGE ensemble data using machine learning approaches

Anant Patel
S. M. Yadav

Journal of Water and Climate Change (2024) 15 (4): 1729.

Assessment of historical and projected changes in extreme temperatures of Balochistan, Pakistan using extreme value theory

Darakshan Naeem
Rizwan Aziz
Muhammad Awais
Sajid Rashid Ahmad

Environmental Monitoring and Assessment (2024) 196 (4)

Temperature and precipitation trend analysis using the CMIP6 model in the Upper East region of Ghana

Gemechu Fufa Arfasa
Ebenezer Owusu Sekyere
Dzigbodi Adzo Doke

All Earth (2024) 36 (1): 1.

Analyzing inflow to Faye reservoir sensitivity to climate change using CMIP6 and random forest algorithm

Franck Hervé Akaffou
Salomon Obahoundje
Sacré Régis Mailly Didi
Bérenger Koffi
Wawogninlin Brice Coulibaly
Michal Habel
M’min Marie Florence Kadjo
Kouakou Lazare Kouassi
Arona Diedhiou

International Journal of River Basin Management 1.

Application of deep learning algorithms to correct bias in CMIP6 simulations of surface air temperature over the Indian monsoon core region

A. Sabarinath
A. Naga Rajesh
Sachin S. Gunthe
T. V. Lakshmi Kumar

International Journal of Climatology (2023) 43 (16): 7496.

Climatic projections of Western India using global and regional climate models

Mohdzuned Mohmedraffi Shaikh
Pradeep Lodha
Prashant Lalwani
Darshan Mehta

Water Practice and Technology (2022) 17 (9): 1818.

Water availability and response of Tarbela Reservoir under the changing climate in the Upper Indus Basin, Pakistan

Firdos Khan

Scientific Reports (2022) 12 (1)

Comparison of Future Changes in Frequency of Climate Extremes between Coastal and Inland Locations of Bengal Delta Based on CMIP6 Climate Models

Samiran Das
Mohammad Kamruzzaman
Abu Reza Md. Towfiqul Islam
Dehua Zhu
Amit Kumar

Atmosphere (2022) 13 (11): 1747.