eprintid: 14455
rev_number: 9
eprint_status: archive
userid: 353
dir: disk0/00/01/44/55
datestamp: 2017-03-06 14:36:00
lastmod: 2021-08-27 17:28:42
status_changed: 2017-03-06 14:36:00
type: conference_item
metadata_visibility: show
item_issues_count: 2
creators_name: Khabarov, N.
creators_name: Balkovic, J.
creators_name: Schmid, E.
creators_name: Schwartz, A.
creators_name: Azevedo, L.
creators_name: Obersteiner, M.
creators_id: 1850
creators_id: 1977
creators_id: 2008
creators_id: 8735
creators_id: 7255
creators_orcid: 0000-0001-5372-4668
creators_orcid: 0000-0003-2955-4931
creators_orcid: 0000-0001-6981-2769
title: Spatial Analysis of Weather-induced Annual and
Decadal Average Yield Variability as Modeled by EPIC
for Rain-fed Wheat in Europe
ispublished: pub
divisions: prog_esm
abstract: 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
date_type: published
creators_browse_id: 151
creators_browse_id: 23
creators_browse_id: 275
creators_browse_id: 21
creators_browse_id: 219
full_text_status: public
pres_type: poster
event_title: IIASA Institutional Evaluation 2017
event_location: IIASA, Laxenburg, Austria
event_dates: 27 February-1 March 2017
event_type: other
refereed: FALSE
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/conferenceObject
citation:   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.     
document_url: https://pure.iiasa.ac.at/id/eprint/14455/1/Poster-Khabarov-EPIC-Yields-Variability-TallA0-09.pdf