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. These ERFS forecasts are produced as monthly and seasonal mean values and are converted into daily sequences with stochastic weather generators for use with crop growth models. The daily sequences ...
spell lengths. Second, we tested BC‐ stochastic disaggregation (BC‐DisAg) and appeared to simulate more realistic dry spell lengths using bias‐corrected GCM rainfall information (e.g., frequency, totals ...
for the ensuing monsoon season in the experimental station at Bhubaneswar, India. A stochastic disaggregation is used to downscale seasonal and monthly forecast products in daily weather sequences. These weather ...
precipitation data to estimate the DT advantage under stochastic drought conditions. This is different from most evaluations of the DT trait that use rainfall temporally aggregated into a measure ...
Abstract Projections of climate change impacts on global food supply are largely based on crop and pasture modelling. The consistency of these models with experimental data and their ability ...
assets between which the tenant chooses, conditional on a level of investment. To determine the relative riskiness of the different crops , we assess their sensitivity to rainfall and the volatility ...
plan increased crop production in the first year, it did so through mechanisms that the study did not measure. Endline data suggest that the management plan was salient for households, but farmers report ...
) of Rainfall (1983–2010) and Agro-ecological Zones Notes: authors' own elaboration using data from the European Centre for Medium-Range Weather Forecast (ECMWF), and the Rainfall Climatology version 2 (ARC2 ...
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