A significant source of inhomogeneity in spatial averages computed from these analyses arises from spurious changes in the climatology as the mean location of the network changes over time. (waclimate.net)
Despite the complexity of global food supply, here we show that simple measures of growing season temperatures and precipitation — spatial averages based on the locations of each crop — explain ~ 30 % or more of year - to - year variations in global average yields for the world's six most widely grown crops. (environmentalresearchweb.org)
We posit that these characteristics are the result of demonstrable differences between corresponding topographical datasets used in the gridded observations and CRCM, the resulting errors propagated to physical variables tied to elevation and the beneficial effect of subsequent spatial averaging. (pacificclimate.org)