RT Conference Proceedings
SR 00
A1 Khabarov, N.
A1 Balkovic, J.
A1 Schmid, E.
A1 Schwartz, A.
A1 Azevedo, L.
A1 Obersteiner, M.
T1 Spatial Analysis of Weather-induced Annual and  Decadal Average Yield Variability as Modeled by EPIC  for Rain-fed Wheat in Europe
YR 2017
FD 27 February-1 March 2017
AB 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).
T2 IIASA Institutional Evaluation 2017
ED IIASA, Laxenburg, Austria
AV Published
LK https://pure.iiasa.ac.at/id/eprint/14455/