Using daily data from seasonal forecasts in dynamic crop models for yield prediction: A case study for rice in Nepal’s Terai

Agricultural and Forest Meteorology(2019)

Cited 33|Views7
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Abstract
•Daily fields from SPSs might serve as an alternative to the Weather Generator.•Daily data from CFSv2 were used into the CERES-RICE for rice yield prediction.•Ensemble average of simulated-yield did not improve predictive skill.•The CFSv2 forecasts do not properly capture the statistics of observed weather.
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Key words
CFSv2,DSSAT,Daily data,Climate variability
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