%A N. Khabarov
%A J. Balkovic
%A E. Schmid
%A A. Schwartz
%A L. Azevedo
%A M. Obersteiner
%T Spatial Analysis of Weather-induced Annual and
Decadal Average Yield Variability as Modeled by EPIC
for Rain-fed Wheat in Europe
%X In our analysis we evaluate the accuracy of near-term (decadal) average crop yield assessments as supported by the biophysical crop growth model EPIC. A spatial assessment of averages and variability has clear practical implications for agricultural producers and investors concerned with an estimation of the basic stochastic characteristics of a crop yield distribution. 
As a reliable weather projection for a time period of several years will apparently remain a challenge in the near future, we have employed the existing gridded datasets on historical weather as a best proxy for the current climate. Based on different weather inputs to EPIC, we analyzed the model runs (as implemented by IIASA and BOKU) for the rain-fed wheat for 1968-2007 employing AgGRID/GGCMIii) simulations that use harmonized inputs and assumptions (weather datasets: GRASP and Princeton).
%C IIASA, Laxenburg, Austria
%D 2017
%L iiasa14455