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Multimodel ensembles of wheat growth: many models are better than one.Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations.Temperature increase reduces global yields of major crops in four independent estimates.Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions.Improving the use of crop models for risk assessment and climate change adaptation.A statistical analysis of three ensembles of crop model responses to temperature and CO 2 concentrationSimilar estimates of temperature impacts on global wheat yield by three independent methodsRising temperatures reduce global wheat productionCrop model improvement reduces the uncertainty of the response to temperature of multi-model ensemblesUncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO 2Multi-wheat-model ensemble responses to interannual climate variabilityUncertainty in simulating wheat yields under climate changeUncertainty in future irrigation water demand and risk of crop failure for maize in EuropeCrop modelling for integrated assessment of risk to food production from climate changeData requirements for crop modelling—Applying the learning curve approach to the simulation of winter wheat flowering time under climate changeThe implication of input data aggregation on up-scaling soil organic carbon changesEvaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two cropsEffect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variablesVariability of effects of spatial climate data aggregation on regional yield simulation by crop modelsA Component-Based Framework for Simulating Agricultural Production and ExternalitiesA package of parameter estimation methods and implementation for the STICS crop-soil modelMultimodel ensembles improve predictions of crop-environment-management interactionsPredicting Maize Phenology: Intercomparison of Functions for Developmental Response to TemperatureThe Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studiesSpatial sampling of weather data for regional crop yield simulationsLessons from climate modeling on the design and use of ensembles for crop modelingEstimating model prediction error: Should you treat predictions as fixed or random?
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description
researcher
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researcher
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հետազոտող
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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Daniel Wallach
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0000-0003-3500-8179