Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques
Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …
simulations. This study evaluates the performance of MMEs of precipitation, maximum …
Extreme precipitation indices over India using CMIP6: A special emphasis on the SSP585 scenario
In this study, a comparison of 17 Coupled Model Intercomparison Project Phase 6 (CMIP6)
data sets with Indian Meteorological Department (IMD) data in terms of finding out extreme …
data sets with Indian Meteorological Department (IMD) data in terms of finding out extreme …
Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent
A Rahman, S Pekkat - Scientific Reports, 2024 - nature.com
Selecting the best region-specific climate models is a precursor information for quantifying
the climate change impact studies on hydraulic/hydrological projects and extreme heat …
the climate change impact studies on hydraulic/hydrological projects and extreme heat …
The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India
The popularity of cutting‐edge machine learning ensemble approaches has solved many
climate change research and prediction issues. The six top‐performing GCMs obtained from …
climate change research and prediction issues. The six top‐performing GCMs obtained from …
Identification of best CMIP6 global climate model for rainfall by ensemble implementation of MCDM methods and statistical inference
Global climate models (GCMs) are becoming more and more important due to their ability to
accurately identify climatic factors, which will be highly helpful in establishing planning and …
accurately identify climatic factors, which will be highly helpful in establishing planning and …
[HTML][HTML] Blue and green water availability under climate change in arid and semi-arid regions
F Ershadfath, A Shahnazari, MR Sarjaz… - Ecological …, 2024 - Elsevier
Challenges involving water scarcity have raised concerns about sustainability and human
well-being in many regions of Iran. Uncertainty related to the effects of climate change …
well-being in many regions of Iran. Uncertainty related to the effects of climate change …
Performance of bias corrected monthly CMIP6 climate projections with different reference period data in Turkey
S Oruc - Acta Geophysica, 2022 - Springer
Decisions that are based on the future climate data, and its consequences are significantly
important for many sectors such as water, agriculture, built environment, however, the …
important for many sectors such as water, agriculture, built environment, however, the …
Evaluation and comparison of the performances of the CMIP5 and CMIP6 models in reproducing extreme rainfall in the Upper Blue Nile basin of Ethiopia
Understanding the characteristics of extreme rainfall is vital for planning effective adaptation
and mitigation measures. Thus, this study aims to evaluate the performances of 16 general …
and mitigation measures. Thus, this study aims to evaluate the performances of 16 general …
Temperature and precipitation changes under CMIP6 projections in the Mujib Basin, Jordan
A comprehensive analysis of regional climate changes is essential in arid and semi-arid
regions to optimize water resources management. This research aims to evaluate the …
regions to optimize water resources management. This research aims to evaluate the …
[HTML][HTML] Identifying Flood Source Areas and Analyzing High-Flow Extremes Under Changing Land Use, Land Cover, and Climate in the Gumara Watershed, Upper …
Changes in land use and land cover (LULC) and climate increasingly influence flood
occurrences in the Gumara watershed, located in the Upper Blue Nile (UBN) basin of …
occurrences in the Gumara watershed, located in the Upper Blue Nile (UBN) basin of …