This repositoty contains crop model campaign and output files from the gridded version of the Decision Support System for Agrotechnology Transfer (DSSAT) crop model to support the following publication: Partridge, T.F., Winter, Kendall, A.D. Pei, L., Basso, B., Hyndman, D.W., Projecting the value of current and expanded irrigation from groundwater as a climate adaptation strategy. Model Campaign Files: Historic and future campaign files for simulating maize and soybean growth across cultivated areas in the United States. Maize campaign files contain state level oberseved planting dates aquired from the USDA NASS quickstats repository and annual approximations of planted cultivars based on plant progress data and growing degree days. A calibrated soil producitivty coefficient (pDSSAT_calibrated_slpf_maize.nc) is included to adjust simulated maize yields to reported county level yield values through minimzing 30-year RMSE values. Future planting dates and cultivar parameters are scaled by changes in growing season meterological metrics for each time period and downscaled global climate model included in this analysis. Please see the corresponding paper for a full description of phenology and yield approximation and estimation of future adaptations. Soybean campaign files contain state level observed planting dates from the USDA NASS quickstats repository and annual estimates of soybean cultivar parameters. Future soybean planting dates are approximated based on changes in growing season conditions for each time period and global climate model inlcuded in this analysis, but cultivar parameters are held constant during future periods. Please see the corresponding paper for a full description of phenology and yield approximation and estimation of future planting dates. Model Output: Gridded crop model simulation output for both rainfed and fully irrigated maize and soybean across all cultivated areas in the Conterminous United States from the parallelized Decision Support System for Agrotechnology Transfer model (pDSSAT). Model runs include three time periods: historical (1981-2010), mid-century (2036-2065), and end-of-century (2071-2100) conditions under moderate and high emissions trajectories(SSP245 and SSP585) from five statistically downscaled CMIP6 global climate models. Future crop simulations approximate changes in planting date and cultivar selection (maize only) and historically planted cultivars. Model output variables include annual values of crop yield (HWAM), total biomass (CWAM), applied Irrigation (IRCM), planting date (PDAT), crop anthesis date (ADAT), crop maturity date (MDAT), seasonal ET (ETCM), growing season ET (ETCP), seasonal drainage from the bottom of the model (DRCM), seasonal precipitation (PRCM), growing season precipitation (PRCP), seasonal runoff (ROCM), growing season average maximum temperature (TMAXA), growing season average minimum temperature (TMINA). water stress during the growing season (WSPDGS), water stress during flowering (WSPDGF), water stress during grain filling (WSPDGS, crop yield irrigation productivity (YPIM), and crop yield precipitation productivity (YPPM).