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Author(s): F. Filippini, G. Galliani & L. Pomi
Abstract:
imation of missing meteorological
data in a network of automatic stations
F.
Filippini, G.
Galliani, L.
Pomi
Meteorological Service of Emilia-Romagna
Region, Via S.
Felice 25 - Bologna, Italy
ABSTRACT
The procedure of estimating meteorological data is presented in this
paper.
The variables reconstructed are: temperature (maximum,
minimum, average), average humidity, minutes of leaf wetness and
total hourly precipitation.
The procedures are based on the
combination of two elements:
a) A method of estimation in which geographic location and
the values of neighbouring stations are considered.
This method is
based on correlation matrices taken from archives.
b) A method based on the general climatology of the station.
The "climatological" value is introduced in auto-regressive
approaches which, from reference daily values, reconstruct the
typical hourly parameter oscillations for the period and location in
question.
The leaf wetness parame...
Pages: 9
Size: 757 kb
Paper DOI: 10.2495/AIR940342
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