Replication Data for: The nitrogen price of improved wheat yield under climate change

The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments and asses the amount of N fertilizer that would be needed to achieve yield potential. Th dataset consists of wheat grain yield and other key crop and soil variables simulated with 12 wheat crop growth models at 34 high-rainfall or irrigated locations from key wheat growing regions in the world. Simulations are for the 1981-2010 baseline period and two mi-century (2040-2069) future climate scenarios (RCP4.5 and RCP8.5). Daily weather data for each of the 34 global locations for the baseline period (1980-2010) were obtained from the AgMERRA climate dataset. Climate projections were taken from five global climate models (GCMs; HadGEM2-ES, MIROC5, MPI-ESM-MR, GFDL-CM3, and GISS-E2-R) drawn from the Fifth Coupled Model Intercomparison Project (CMIP5). Other data include soil characteristics and initial soil conditions, and cultivar information for all locations. For each location, local mean sowing, anthesis and maturity dates were supplied with qualitative information on vernalization requirements and photoperiod sensitivity. Simulations were performed with unlimited soil nitrogen availability and with N fertilizer application rates ranging from 0 to 400 kg N ha-1 in steps of 50 kg N ha-1. Simulations include end-of-season results for 24 crop and soil variables simulated by the 12 wheat crop models. Simulation protocols used by the individual modeling teams are included, with all necessary information to execute them with a crop growth model.