Climate Modeling

Get the latest Climate Modeling news, research and developments covering the use of climate and crop models to understand weather patterns, climate risks and their implications for agriculture. This tag brings together developments in climate simulation, crop-yield forecasting, agroecological assessment and decision-support tools used to evaluate how temperature, rainfall, atmospheric CO₂ and extreme events can affect farming systems.

Coverage includes crop growth models, climate projections, seasonal forecasting, downscaling, agroclimatic models, remote sensing, hydrological modeling and AI-enabled prediction. Researchers are increasingly combining climate models with crop, soil, water and economic models to assess future production and identify adaptation options. Recent work has used the Community Land Model to examine long-term changes in Indian wheat and rice agroecosystems, while new multi-model approaches are improving estimates of crop yields and soil carbon.

Find news on crop-yield forecasting, climate-risk assessment, drought and heat analysis, irrigation planning, food-security modelling, adaptation strategies and agricultural decision-support systems. Coverage also tracks global modelling initiatives and new datasets assessing future crop productivity under different climate scenarios, including research examining temperature, rainfall, CO₂, nitrogen management and adaptation across major crops.