We correct the diurnal data on precipitation obtained from the output of the global system of reanalysis as applied to the observed daily amounts of precipitation at certain geographic points of the coastal region of the Black Sea. The estimations of the actual amounts of precipitation are taken from the ECAD (European Climate Assessment and Dataset) database. We analyze the amounts of precipitation for three winter months. As a working tool for the investigation of correlations between the regular meteorological variables (predictors) taken from the reanalysis and the local amounts of precipitation at certain geographic points (predictants), we use the method of artificial neural networks (ANN). A numerical criterion of adequacy of the estimates of the daily amounts of precipitation performed according to reanalysis and the ANN method is proposed. By using this criterion, we show that the efficiency of the ANN method in simulating precipitation is higher as compared with the procedure of reanalysis.
Physical Oceanography – Springer Journals
Published: Sep 23, 2006
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