Articles
TEMPERATURE DATA FOR SPATIAL PHENOLOGICAL MODELS
Article number
1068_13
Pages
113 – 116
Language
English
Abstract
Phenological observations provide poor and often dense information, about the development of vegetation.
This development is highly dependent on weather, and thus, on climate.
But, frequent changes of observation sites and objects are, in contrast, complicating the interpretation of the observations.
Constant and tested quality of data sets in space and time are the demands for phenological data sets used in subsequent models and other methods of interpretation.
Those data sets would also be useful to determine the impact of climate change.
To fulfil the demands, given observations of a yearly gridded data set of 1/12 deg. resolution, covering 1951-2010, has been computed by means of geostatistics.
Quality control was implemented and done in several steps by cross validation.
To develop and test phenological models with the gridded data set, a high resolution temperature data of comparable quality was needed on the grid points.
This development is highly dependent on weather, and thus, on climate.
But, frequent changes of observation sites and objects are, in contrast, complicating the interpretation of the observations.
Constant and tested quality of data sets in space and time are the demands for phenological data sets used in subsequent models and other methods of interpretation.
Those data sets would also be useful to determine the impact of climate change.
To fulfil the demands, given observations of a yearly gridded data set of 1/12 deg. resolution, covering 1951-2010, has been computed by means of geostatistics.
Quality control was implemented and done in several steps by cross validation.
To develop and test phenological models with the gridded data set, a high resolution temperature data of comparable quality was needed on the grid points.
Authors
M. Müller, P. Braun, A. Hense
Keywords
climate, crop phenology, geostatistics, quality control, weather
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