Land-surface initialisation improves seasonal climate prediction skill for maize yield forecast.

ABSTRACT: Seasonal crop yield forecasting represents an important source of information to maintain market stability, minimise socio-economic impacts of crop losses and guarantee humanitarian food assistance, while it fosters the use of climate information favouring adaptation strategies. As climate variability and extremes have significant influence on agricultural production, the early prediction of severe weather events and unfavourable conditions can contribute to the mitigation of adverse effects. Seasonal climate forecasts provide additional value for agricultural applications in several regions of the world. However, they currently play a very limited role in supporting agricultural decisions in Europe, mainly due to the poor skill of relevant surface variables. Here we show how a combined st

SUBMITTER: Ceglar A 

PROVIDER: S-EPMC5778075 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature