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Evaluating the added value of subseasonal weather forecasts for EU national wheat yield forecasts

Zachow, Maximilian; Aleksovska, Ivana; Henin, Riccardo; Kunstmann, Harald 1; Meroni, Michele; Seguini, Lorenzo; Tarnavsky, Elena; Asseng, Senthold
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

The MARS Crop Yield Forecasting System combines process-based crop model outputs, satellite vegetation indicators and gridded meteorological data within an analyst-guided statistical modelling approach. In May, a critical stage of wheat development, MARS publishes its first forecast based on observed data. While 10-day weather forecasts are often considered at the analyst’s discretion, our study goes further by quantitatively incorporating four-week forecasts. To evaluate their added value, we introduce a new framework, MARS+Forecast, which extends MARS yield predictions using ECMWF four-week temperature and precipitation forecasts following the MARS publication date. This framework employs a data-driven yield model for 24 EU
countries and is assessed for the harvest years 2007–2024. When assuming a perfect four-week weather forecast based on reanalysis data (MARS+Perfect), MARS forecasts would theoretically be improved in 16 countries, covering 60% of EU wheat area and 55% of wheat production. When adding an actual four-week forecast to MARS (MARS+Forecast), MARS forecasts were modestly improved in 8 countries, representing 39% of wheat area and 31% of wheat production. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000192066
Veröffentlicht am 09.04.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 15.05.2026
Sprache Englisch
Identifikator ISSN: 0168-1923
KITopen-ID: 1000192066
Erschienen in Agricultural and Forest Meteorology
Verlag Elsevier
Band 383
Seiten Art.-Nr.: 111139
Vorab online veröffentlicht am 24.03.2026
Nachgewiesen in Web of Science
OpenAlex
Scopus
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