We present results from the Agricultural Model Intercomparison and Improvement Project (AgMIP) Global Gridded Crop (GGCMI) Phase I, which aligned 14 global gridded crop models (GGCMs) 11 climatic forcing datasets (CFDs) in order to understand how selection of climate data affects simulated historical productivity maize, wheat, rice soybean. Results show that CFDs demonstrate mean biases differe...

Abstract Achieving Zimbabwe’s national and international commitments to food systems transformation climate resilience building is of high priority. Integrated simulation-based research approaches developed under the Agricultural Model Intercomparison Improvement Project (AgMIP) are important sources evidence guide policy decisions towards sustainable intensification. Through identification eco...

We present the Representative Temperature and Precipitation (T&P) GCM Subsetting Approach developed within the Agricultural Model Intercomparison and Improvement Project (AgMIP) to select a practical subset of global climate models (GCMs) for regional integrated assessment of climate impacts when resource limitations do not permit the full ensemble of GCMs to be evaluated given the need to also...

Efforts to estimate the physical and economic impacts of future climate change face substantial challenges. To enrich the currently popular approaches to impact analysis—which involve evaluation of a damage function or multi-model comparisons based on a limited number of standardized scenarios—we propose integrating a geospatially resolved physical representation of impacts into a coupled human...

Crop models are increasingly used to simulate crop yields at the global scale, but so far there is no general framework on how to assess model performance. Here we evaluate the simulation results of 14 global gridded crop modeling groups that have contributed historic crop yield simulations for maize, wheat, rice and soybean to the Global Gridded Crop Model Intercomparison (GGCMI) of the Agricu...