Results 71 to 80 of about 3,973 (162)

Projected Reductions in Staple Crop Production and Nutritional Quality Under Climate Change: Machine Learning Evidence From China

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract Staple crops are essential sources of sustenance and macronutrients. While previous studies have overlooked the combined impacts of climate extremes, elevated CO2‐induced nutrient penalties, and resulting nutritional inequities across cities. Moreover, adaptive strategies often emphasize top‐down policies, neglecting tailored measures such as ...
Yufan Shi, Jianing Li, Miaomiao Liu, Dianyu Zhu, Beibei Liu, Ruoqi Li, Ye Shu, Yuli Shan, Jianxun Yang, Wen Fang, Zongwei Ma, Jun Bi, Klaus Hubacek   +12 more
wiley   +1 more source

Monthly Aggregated NEX-GDDP Ensemble Climate Projections: Historical (1985–2005) and RCP 4.5 and RCP 8.5 (2006–2080)

Monthly Aggregated NEX-GDDP Ensemble Climate Projections: Historical (1985–2005) and RCP 4.5 and RCP 8.5 (2006–2080) This dataset is a monthly-scale aggregation of the NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections processed ...
Messina, Joseph, Peter, Brad, Moragoda, Nishani   +2 more
core   +1 more source

WBTmax-China dataset basing on EC-Earth3 simulations (Historical and 4 SSPs scenarios)

, 2023
The WBTmax-China dataset is comprised the NEX-GDDP-CMIP6 dataset (tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert Kopp (Rutgers, 2016).
Cao,Ning
core   +1 more source

Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques

Scientific Reports, 2022
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, Amala Mary Vincent, Gowdagere Siddaramaiah Dwarakish   +2 more
doaj   +1 more source

Drought‐Driven Water Insecurity in an Emerging Indian Megacity: A Coupled Multi‐Agent Systems Approach for Policy Evaluation

Earth's Future, Volume 14, Issue 3, March 2026.
Abstract Developing regions face critical water security challenges driven by rapid urban growth, economic development, and climate change. In India, these issues are particularly evident in Pune, the country's 9th most populated city. It is evolving into a sprawling urban agglomeration expected to grow from 7 to 11 million residents by mid‐century ...
Ankun Wang, Christian J. A. Klassert, Raphael Karutz, Mikhail Smilovic, Taher Kahil, Peter Burek, Yuanzao Zhu, Heinrich Zozmann, Bernd Klauer, Karin Küblböck, Ines Omann, Anjuli Jain Figueroa, Yoshihide Wada, Rosamond Naylor, Steven M. Gorelick   +14 more
wiley   +1 more source

Maximum Web-bulb-temperature in monsoon Asia with EC-Earth3 historical simulation

, 2023
The WBTmax-Asia-EC-Earth3 dataset is comprised of the NEX-GDDP-CMIP6 dataset (EC-Earth3 outputs of tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert ...
Cao,Ning
core   +1 more source

Exploring the Links Between Variations in Snow Cover Area and Climatic Variables Across the Upper Indus Basin Under a Changing Climate

International Journal of Climatology, Volume 46, Issue 2, February 2026.
Google Earth Engine was utilised to assess snow cover area (SCA) across eight Upper Indus Basin (UIB) subbasins, employing ARIMA for prediction and comparing MODIS datasets using Dunn's test. Spatiotemporal changes were analysed using MK, Sen's slope, and other statistical tests.
Hafsa Muzammal, Muhammad Zaman, Jaehak Jeong, Kashif Mehmood, Syed Aftab Wajid   +4 more
wiley   +1 more source

Evaluating the enhanced benefits of multi-model ensemble mean from NEX-GDDP-CMIP6 versus native CMIP6 Models in accurately representing historical temperature patterns in South America

Environmental Challenges
We assessed the additional value of the NEX-GDDP-CMIP6 (NEX ensemble) temperature models compared with that of their original CMIP6 models across seven climatic sub-regions in South America from 1950 to 2014, aiming to identify the best-performing models
Heli A. Arregocés, Roberto Rojano, Martha L. Castellanos   +2 more
doaj   +1 more source

Assessment of Historical and Future Mean and Extreme Precipitation Over Sub‐Saharan Africa Using NEX‐GDDP‐CMIP6: Part II—Future Changes

International Journal of Climatology, Volume 46, Issue 1, January 2026.
This study used a Multi‐model Ensemble of 26 NEX‐GDDP projections to assess future precipitation changes in sub‐Saharan Africa under three SSP scenarios. Results indicate increased precipitation in the north and decreased precipitation in the south, with more extreme wet events, highlighting the urgent need for effective adaptation strategies ...
Sydney Samuel, Gizaw Mengistu Tsidu, Alessandro Dosio, Kgakgamatso Mphale   +3 more
wiley   +1 more source

Small and Medium‐Sized Inland Waterbodies: Water Volume Predictions and Flood Implications

Water Resources Research, Volume 62, Issue 1, January 2026.
Abstract Small (<10 ha) and medium (10–100 ha) inland waterbodies are crucial for water storage and flood regulation, necessitating an improved understanding of their water volume. Traditional water volume measurement methods, modeling techniques, and advanced altimetry missions struggle to capture the non‐linear volume changes in these waterbodies ...
Ankit Sharma, Idhayachandhiran Ilampooranan   +1 more
wiley   +1 more source