This study aimed to assess the performance of 35 global climate models included in NEX-GDDP-CMIP6, derived from downscaling CMIP6 data to high spatial (25 km) and temporal (daily) resolutions, in reproducing extreme precipitation events over the Huai ...
Shanshan Wen, Aiping Zhu, Gao Miaoni
exaly +4 more sources
Amplification of temperature extremes in Arabian Peninsula under warmer worlds [PDF]
The Paris Agreement and the Special Report on Global Warming of 1.5 °C from the Intergovernmental Panel on Climate Change (IPCC) highlighted the potential risks of climate change across different global warming levels (GWLs). The increasing occurrence of
Buri Vinodhkumar +3 more
doaj +3 more sources
Global climate models (GCMs) are the state-of-the-art tool for understanding climate change and predicting future. However, little research has been reported on the latest NEX-GDDP-CMIP6 product in China.
Donglai Jiao +2 more
exaly +3 more sources
Global monthly CMIP6-downscaled high-resolution (1 km) near-surface air temperature dataset (1950–2100) [PDF]
Temperature projections from general circulation models (GCMs), serving as an important approach of understanding future global warming, are essential for developing adaptation and mitigation strategies of climate change.
Xuewen Lei +6 more
doaj +2 more sources
Assessing future heat stress across China: combined effects of heat and relative humidity on mortality [PDF]
This study utilizes China’s records of non-accidental mortality along with twenty-five simulations from the NASA Earth Exchange Global Daily Downscaled Projections to evaluate forthcoming heat stress and heat-related mortality across China across four ...
Guwei Zhang +15 more
doaj +2 more sources
Future changes in the precipitation regime over the Arabian Peninsula with special emphasis on UAE: insights from NEX-GDDP CMIP6 model simulations [PDF]
Global warming can profoundly influence the mean climate over the Arabian Peninsula, which may significantly influence both natural and human systems. The present study aims to investigate the changes in the precipitation regime in response to climate ...
K. Koteswara Rao +5 more
doaj +2 more sources
Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques [PDF]
Multi-Model Ensembles (MMEs) are used for improving the performance of GCM simulations. This study evaluates the performance of MMEs of precipitation, maximum temperature and minimum temperature over a tropical river basin in India developed by various ...
Dinu Maria Jose +2 more
doaj +2 more sources
Can wet heatwaves be represented by CMIP6 models and bias-corrected NEX-GDDP-CMIP6?
As global warming intensifies, wet heatwaves pose an increasing threat to human health. As global climate models (GCMs) and their bias-corrected datasets are commonly used in wet heatwave research, it is essential to determine whether these datasets ...
Shuiqing Yin, Jim W Hall
exaly +3 more sources
Widespread shift toward extreme dominated precipitation with pronounced trends in arid and mediterranean regions [PDF]
Understanding how precipitation extremes evolve relative to total precipitation has important implications for hydrology, water resources, and climate risk management.
Masoud Zaerpour +2 more
doaj +2 more sources
Changes in physical characteristics of extreme rainfall events during the Indian summer monsoon based on downscaled and bias-corrected CMIP6 models [PDF]
We identified a set of bias-corrected and downscaled Coupled Model Intercomparison Project 6 (CMIP6) models capable of accurately simulating the observed mean Indian summer monsoon rainfall, extreme rain events (EREs) and their respective interannual ...
Stella Jes Varghese +4 more
doaj +2 more sources

