https://pure.iiasa.ac.at/id/eprint/14455 2021-08-27T17:28:42Z info:eu-repo/semantics/descriptiveMetadata https://pure.iiasa.ac.at/id/eprint/14455/ Spatial Analysis of Weather-induced Annual and Decadal Average Yield Variability as Modeled by EPIC for Rain-fed Wheat in Europe Khabarov, N. Balkovic, J. Schmid, E. Schwartz, A. Azevedo, L. Obersteiner, M. 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). 2017-02-27 Conference or Workshop Item NonPeerReviewed text en cc_by https://pure.iiasa.ac.at/id/eprint/14455/1/Poster-Khabarov-EPIC-Yields-Variability-TallA0-09.pdf Khabarov, N. <https://pure.iiasa.ac.at/view/iiasa/151.html> ORCID: https://orcid.org/0000-0001-5372-4668 <https://orcid.org/0000-0001-5372-4668>, Balkovic, J. <https://pure.iiasa.ac.at/view/iiasa/23.html> ORCID: https://orcid.org/0000-0003-2955-4931 <https://orcid.org/0000-0003-2955-4931>, Schmid, E., Schwartz, A. <https://pure.iiasa.ac.at/view/iiasa/275.html>, Azevedo, L. <https://pure.iiasa.ac.at/view/iiasa/21.html>, & Obersteiner, M. <https://pure.iiasa.ac.at/view/iiasa/219.html> ORCID: https://orcid.org/0000-0001-6981-2769 <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. info:eu-repo/semantics/objectFile info:eu-repo/semantics/humanStartPage