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the export format (ASCII or Excel) and the aggregation interval and he has to select the
weather stations and sensors. He can also choose whether he wanted the plausibility signs
and the minimum and maximum values of the selected aggregation interval to be exported.
The other very important export interface is the export to www.isip.de which consists of
two steps. In the first step a XML file is generated containing the information about the data
to be exported. This file is zipped and in the second step transferred to www.isip.de via FTP
(File Transfer Protocol).
The ISIP export can be done either manually or automatically. If it is done automatically
only data which have been changed since the last transfer or which are new are exported to
www.isip.de. With this method it is guaranteed that in www.isip.de always the same
meteorological data are available as in the local AgmedaWin databases.
3. Use of geographic information systems in crop protection warning service
In the previous chapter the management of meteorological data originating from individual
weather stations and their importance for simulation models was highlighted. However, in
some agricultural areas, the distance between weather stations (MS) exceeds 60 km. Forecast
models did not give satisfactory results for fields separated by such large distances to MSs
(Zeuner, 2007).
latitude
meteorological data
longitude
Longitude
Weather data
digital elevation model
DGM
Latitude
temperature
Temperature
Rel. humidity
rel . humidity
precipitation
Rainfall
simulation model
Simulation model
risk map
Risk map
Fig. 4. Process to calculate risk maps using GIS
With the help of Geographic Information Systems (GIS) a plot-specific classification of
temperature and relative humidity has been developed using complex statistical
interpolation methods described by Zeuner (2007). The method, however, cannot be applied
to the parameter precipitation. Especially in the case of frequent spatially and temporally
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