DBPapers
DOI: 10.5593/SGEM2014/B42/S19.060

OPTIMIZING A METEOROLOGICAL OBSERVING NETWORK BY GEOSTATISTICAL ESTIMATION VARIANCE APPROACH

D. Denkova
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-16-2 / ISSN 1314-2704, June 19-25, 2014, Book 4 ,Vol. 2, 461-466 pp

ABSTRACT
Monitoring is fundamental for meteorology .The quality of the data and profitability
depends on optimal design of monitoring network. There are different approaches and
methods for optimizing the network. Geostatistical estimation variance reduction is one
of the unbiased ways of optimizing a meteorological network with a desired accuracy.
The existing meteorological network in Bulgaria is consisting of 126 climate monitoring
stations. The air temperature data received from them were analyzed geostatistically to
reason the spatial variability oh the parameter. The threshold on the maximum standard
deviation of the estimation error was defined by comparing with the standard deviation
of the data to maintain the order of magnitude. The calculation of the geostatistical
estimation error is independent of the measured values so the variance of the estimation
error of an uniform grid was calculated to be compared with the threshold. Using this
procedure for a given network, is shown an way for its optimizing with a fixed accuracy
in the form of maximum permitted variance of the estimation error.

Keywords: monitoring network, optimization, estimation error, air temperature