The final usefulness of the physiologically based weather-crop yield models now being developed will depend in part upon the degree to which point observations of weather phenomena can be extended to surrounding regions. This report reviews methods of estimating areal data from point estimates, methods of relating macro and micro climatic data, and discusses the conflicts involved in treating such problems as accuracy vs. scale, correlation decay, and limits of scale interpolation. Two areas of investigation that could be pursued with respect to these problems would involve the use of either "synoptic climatology" or of data interpolation methods. Of these two methods, a synoptic classification procedure seems more desirable
We show the error in water-limited yields simulated by crop models which is associated with spatiall...
When projecting future crop production, the skill of regional scale (>100. km resolution) crop model...
Physiological and management modifications to increase crop yields require an appreciation of the im...
<p>Many crop growth models require daily meteorological data. Consequently, model simulations can be...
Understanding the relationship between climate and crop productivity is a key component of projectio...
Opportunities for and constraints to crop production can be assessed with crop growth simulation mod...
Field-scale crop models are often applied at spatial resolutions coarser than that of the arable fie...
Due to the more frequent use of crop models at regional and national scale, the effects of spatial d...
Crop models can be sensitive to climate input data aggregation and this response may differ among mo...
Due to the rapidly growing availability and accessibility of spatially gridded weather data products...
<p>Field-scale crop models are increasingly applied at spatio-temporal scales that range from region...
A methodology is presented for the development of a combined seasonal weather and crop productivity ...
Field-scale crop models are increasingly applied at spatio-temporal scales that range from regions t...
When projecting future crop production, the skill of regional scale (>100 km resolution) crop models...
International audienceCrop models are useful tools because they can help understand many complex pro...
We show the error in water-limited yields simulated by crop models which is associated with spatiall...
When projecting future crop production, the skill of regional scale (>100. km resolution) crop model...
Physiological and management modifications to increase crop yields require an appreciation of the im...
<p>Many crop growth models require daily meteorological data. Consequently, model simulations can be...
Understanding the relationship between climate and crop productivity is a key component of projectio...
Opportunities for and constraints to crop production can be assessed with crop growth simulation mod...
Field-scale crop models are often applied at spatial resolutions coarser than that of the arable fie...
Due to the more frequent use of crop models at regional and national scale, the effects of spatial d...
Crop models can be sensitive to climate input data aggregation and this response may differ among mo...
Due to the rapidly growing availability and accessibility of spatially gridded weather data products...
<p>Field-scale crop models are increasingly applied at spatio-temporal scales that range from region...
A methodology is presented for the development of a combined seasonal weather and crop productivity ...
Field-scale crop models are increasingly applied at spatio-temporal scales that range from regions t...
When projecting future crop production, the skill of regional scale (>100 km resolution) crop models...
International audienceCrop models are useful tools because they can help understand many complex pro...
We show the error in water-limited yields simulated by crop models which is associated with spatiall...
When projecting future crop production, the skill of regional scale (>100. km resolution) crop model...
Physiological and management modifications to increase crop yields require an appreciation of the im...