Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach-Reference-Cited by-同舟云学术

Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach

Published:2024-04 Issue:2 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Swain Sushree Swagatika¹^ORCID,Mishra Ashok²,Chatterjee Chandranath³^ORCID

Affiliation:

1. Research Scholar, School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India. ORCID: .

2. Professor, Dept. of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.

3. Professor, Dept. of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6026

Reference88 articles.

1. Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine

2. Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms

3. Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

4. Modulation of Compound Extremes of Low Soil Moisture and High Vapor Pressure Deficit by Irrigation in India

5. Machine Learning Predictions of a Multiresolution Climate Model Ensemble

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration;Remote Sensing Applications: Society and Environment;2024-11

2. Projected Heat Waves in Ecuador under Climate Change: Insights from HadGEM-RegCM4 Coupled Model;Earth;2024-03-14