relation: https://pure.iiasa.ac.at/id/eprint/14455/ title: Spatial Analysis of Weather-induced Annual and Decadal Average Yield Variability as Modeled by EPIC for Rain-fed Wheat in Europe creator: Khabarov, N. creator: Balkovic, J. creator: Schmid, E. creator: Schwartz, A. creator: Azevedo, L. creator: Obersteiner, M. description: 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). date: 2017-02-27 type: Conference or Workshop Item type: NonPeerReviewed format: text language: en rights: cc_by identifier: https://pure.iiasa.ac.at/id/eprint/14455/1/Poster-Khabarov-EPIC-Yields-Variability-TallA0-09.pdf identifier: Khabarov, N. ORCID: https://orcid.org/0000-0001-5372-4668 , Balkovic, J. ORCID: https://orcid.org/0000-0003-2955-4931 , Schmid, E., Schwartz, A. , Azevedo, L. , & Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 (2017). Spatial Analysis of Weather-induced Annual and Decadal Average Yield Variability as Modeled by EPIC for Rain-fed Wheat in Europe. In: IIASA Institutional Evaluation 2017, 27 February-1 March 2017, IIASA, Laxenburg, Austria.