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)
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.
MoreTranslated text
Key words
CFSv2,DSSAT,Daily data,Climate variability
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined