CIMMYT, El Batán, Mexico
March 31-April 4, 2025
Agricultural Model Intercomparison and Improvement Project
The AgMIP Mission is to significantly improve agricultural models, and scientific and technological capabilities, for assessing impacts of climate variability and change and other driving forces on agriculture, food security, and poverty at local to global scales.
News
DR. CYNTHIA ROSENZWEIG GUEST CONTRIBUTOR TO EL FINANCIERO
March 31, 2025
Dr. Manuel Otero and Dr. Cynthia Rosenzweig guest contributed an article to El Financiero detailing the complementarity between IICA and AgMIP in addressing the challenges of feeding a growing population with healthy diets, within climate and ecosystem constraints, while generating income and employment, especially for those most in need…
AgMIP DEMAND-SCOPING STUDY IN SUB-SAHARAN AFRICA
March 10, 2025
Project partners will work with governmental stakeholders to co-develop a framework for applying information from climate, crop, and economic models to inform various policy instruments, such as National Adaptation Plans, National Agricultural Investment Plans, Nationally Determined Contributions, and Biennial Transparency Reports…
AUGURES! 2024 WORKSHOP REPORT PUBLISHED
Jan 10, 2025
Europe is the fastest-warming continent in the world. Within the continent, agriculture is one of the most vulnerable sectors to climate change. Changes in temperature and rainfall patterns, as well as frequent extreme weather events, are already impacting food production and farmers’ livelihoods…
DR. CYNTHIA ROSENZWEIG FEATURED IN 'WHAT CONCERNS CLIMATE SCIENTISTS'
Dec 13, 2024
This week, Carbon Brief speaks to scientists at the annual meeting of the American Geophysical Union in Washington DC about what is on their minds as 2024 draws to a close, and what they think the biggest climate stories of 2025 might be….
Blog
NATURE FOOD: IMPROVED ASSESSMENT OF CLIMATE RISKS FOR AGRICULTURE
May 29, 2025
In a recently published paper in Nature Food, it is argued that current crop–climate risk assessments do not capture all of these expected impact responses, which limits the ability to transition to a more sustainable food production system. Process-based crop models are key to exploring current and future agricultural systems to identify…
NEW AgMIP PAPER SHOWS HOW FARMERS MAY BE MISLED BY THEIR EARLY CLIMATE CHANGE EXPERIENCE
April 15, 2024
A new paper looks at the experience of farmers as their yields change in a warming world, finding distinctive patterns of change for each regional system. Published by AgMIP Climate Team leader Alex Ruane and colleagues from AgMIP GGCMI this study utilizes the projections of climate change impacts…
INTERNATIONAL COMMUNITY ON AI FOR AGRICULTURAL MODELING LAUNCHED IN WAGENINGEN
Feb 14, 2024
In a groundbreaking gathering in late January in Wageningen, experts and researchers from around the world celebrated the launch of the first-ever AgML workshop aimed at advancing the use of machine learning for agricultural modeling. This is the beginning of an important international collaboration…
VISION FOR ADAPTED CROPS AND SOILS: PHASE 2 WORKSHOP RECAP
Dec 1, 2023
The VACS Phase 2 Workshop took place November 28-29, 2023 at the Rockefeller Foundation Global Headquarters in New York City, U.S. Participants included stakeholders from all key project partners, and were mainly composed of African agricultural experts from across the continent…
Research Approach
AgMIP research aims to substantially advance our understanding of model strengths, weaknesses, and uncertainty while also developing new approaches including data integration and transdisciplinary modeling frameworks…read more
Research Teams
Experts come together to advance crop studies, research methods, and other topics that are critical to understanding how agriculture and food systems will respond to climate and other factors now and in the future. Learn more about our 30+ teams.
Research Sites and Regions
Sites evaluated in AgMIP assessments, plotted with major agricultural area (gray shading). figure and description of AgMIP studies provided in Ruane et al. 2017.
