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CROP MODEL DATA ASSIMILATION WITH THE ENSEMBLE KALMAN FILTER FOR IMPROVING REGIONAL CROP YIELD FORECASTS
Crop model data assimilation Ensemble Kalman filter
2015/9/8
Uncertainty in spatial and temporal distribution of rainfall in regional crop yield
simulations comprises a major fraction of the error on crop model simulation results. In
this paper we used an Ens...
The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0)
Global Gridded Crop Model Intercomparison data
2015/3/5
We present protocols and input data for Phase 1 of
the Global Gridded Crop Model Intercomparison, a project
of the Agricultural Model Intercomparison and Improvement
Project (AgMIP). The project in...
Global sensitivity analysis for choosing the main soil parameters of a crop model to be determined
Global Sensitivity Analysis Uncertainty Analysis
2013/3/4
The use of a crop model like STICS for appropriate management decision support requires a good knowledge of all the parameters of the model. Among them, the soil parameters are difficult to know at ea...
Calibration of a crop model to irrigated water use using a genetic algorithm
Calibration a crop model irrigated water use a genetic algorithm
2009/9/11
Near-term consumption of groundwater for irrigated agriculture in the High Plains Aquifer supports a dynamic bio-socio-economic system, all parts of which will be impacted by a future transition to su...
WEATHER-CROP MODEL SELECTION BY CROSS VALIDATION TEST FOR WINTER WHEAT CULTIVATED IN NORTH-EASTERN POLAND
weather-crop models winter wheat verification Cross Validation test
2009/3/30
The empirical data used in the present research cover the results of winter wheat cultivar experiments carried out over 1971-1995 and the weather observations reported by local meteorological stations...