"14455","9","archive","353",,,"disk0/00/01/44/55","2017-03-06 14:36:00","2021-08-27 17:28:42","2017-03-06 14:36:00","conference_item",,,"show","","","2",,,"Khabarov","N.","","","1850","0000-0001-5372-4668","",,,,,"","","Spatial Analysis of Weather-induced Annual and
Decadal Average Yield Variability as Modeled by EPIC
for Rain-fed Wheat in Europe","pub","","","prog_esm",,,"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","published",,,,,,,,"",,,,,"",,,,,"",,,,,"","",,"",,,,,,,"151","public",,"poster",,,,,,,,"IIASA Institutional Evaluation 2017","IIASA, Laxenburg, Austria","27 February-1 March 2017","other",,,,,,"FALSE",,,,,,,,"","","","",,"","",,,,,,,"",,,,,"FALSE","no",,"info:eu-repo/semantics/conferenceObject",
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"14455",,,,,,,,,,,,,,,,,,,"Schwartz","A.","","","2008",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"21",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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"14455",,,,,,,,,,,,,,,,,,,"Obersteiner","M.","","","7255","0000-0001-6981-2769",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,