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Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting

Agriculture

Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting

A. Ceglar and A. Toreti

Explore how seasonal climate forecasts can enhance decision-making for European wheat farmers! This research by Andrej Ceglar and Andrea Toreti highlights the critical role of forecasts in predicting flowering times and effective agro-management planning, while shedding light on the challenges of wetness predictions.

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~3 min • Beginner • English
Abstract
Seasonal climate forecasts are a key component of sectoral climate services. Skill and reliability in predicting agro-climate indicators, co-designed with and for European wheat farmers, are here assessed. The main findings show how seasonal climate forecast provides useful information for decision-making processes in the European winter wheat-producing sector. Flowering time can be reliably predicted already at the beginning of the growing season in central and eastern Europe, thus supporting effective variety selection and timely planning of agro-management practices. The predictability of climate events relevant for winter wheat production is strongly dependent on the forecast initialization time as well as the nature of the event being predicted. Overall, regionally skillful and reliable predictions of drought events during the sensitive periods of wheat flowering and grain filling can be made already at the end of winter. On the contrary, predicting excessive wetness seems to be very challenging as no or very limited skill is estimated during the entire wheat growing season. Other approaches, e.g., linked to the use of large-scale atmospheric patterns, should be identified to enhance the predictability of those harmful events.
Publisher
npj Climate and Atmospheric Science
Published On
Aug 03, 2021
Authors
Andrej Ceglar, Andrea Toreti
Tags
seasonal climate forecasts
agro-climate indicators
European wheat farmers
decision-making
flowering time
predictability
drought events
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