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In-season performance of European Union wheat forecasts during extreme impacts

Authors :
Remi Lecerf
Andrej Ceglar
Lorenzo Seguini
S. Garcia Condado
Bettina Baruth
Sotiris Karetsos
Richard D. Lopez
Andrea Maiorano
Attila Bussay
M. van den Berg
L. Nisini
M. van der Velde
Velde, M. van der
European Commission - Joint Research Centre
Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH)
Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
Scientific Reports 1 (8), 10 p.. (2018), Scientific Reports, Scientific Reports, Nature Publishing Group, 2018, 8 (1), 10 p. ⟨10.1038/s41598-018-33688-1⟩, Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

Here we assess the quality and in-season development of European wheat (Triticum spp.) yield forecasts during low, medium, and high-yielding years. 440 forecasts were evaluated for 75 wheat forecast years from 1993–2013 for 25 European Union (EU) Member States. By July, years with median yields were accurately forecast with errors below ~2%. Yield forecasts in years with low yields were overestimated by ~10%, while yield forecasts in high-yielding years were underestimated by ~8%. Four-fifths of the lowest yields had a drought or hot driver, a third a wet driver, while a quarter had both. Forecast accuracy of high-yielding years improved gradually during the season, and drought-driven yield reductions were anticipated with lead times of ~2 months. Single, contrasting successive in-season, as well as spatially distant dry and wet extreme synoptic weather systems affected multiple-countries in 2003, ’06, ’07, ’11 and 12’, leading to wheat losses up to 8.1 Mt (>40% of total EU loss). In these years, June forecasts (~ 1-month lead-time) underestimated these impacts by 10.4 to 78.4%. To cope with increasingly unprecedented impacts, near-real-time information fusion needs to underpin operational crop yield forecasting to benefit from improved crop modelling, more detailed and frequent earth observations, and faster computation.

Details

ISSN :
20452322
Volume :
8
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....86e7bb5f3b4c16b2eca5511311688d65
Full Text :
https://doi.org/10.1038/s41598-018-33688-1