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Optimal selection of number and location of rainfall gauges for areal rainfall estimation using geostatistics and simulated annealing |
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| Authors: | Eulogio Pardo-Igúzquiza |
| Institution: | TAMSAT, Department of Meteorology, The University of Reading, Reading RG6 6BB, UK |
| Abstract: | This paper presents a method for establishing an optimal network design for the estimation of areal averages of rainfall events. The problem consists of minimising an objective function which includes both the accuracy of the areal mean estimation (as expressed by the kriging variance of estimation) and the economic cost of the data collection. The well known geostatistical variance-reduction method is used in combination with simulated annealing as an algorithm of minimisation. This methodology has several advantages which will be demonstrated in this paper. Several synthetic examples are shown in order to illustrate the performance of the methodology in two different optimisation problems: the optimal selection of a subset from a set of stations that already exist and the optimal augmentation of a previously existing network. |
| Keywords: | Geostatistics Optimal network design Global optimisation Simulated annealing Climatological variogram |
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