The reliability of three classical models for estimating frontal rainfalls from Meteosat infrared data is investigated. They are the NAWT, Arkin and CST models which were applied to two rainfall types occurred over an inland region in the Mediterranean Area. Rainfall data from a dense gauge network were used as a yardstick. Poor results for both the applications were obtained by the CST model. The other two models, which were used in a slight modified form recently proposed for frontal situations were characterized by comparable accuracy, with results very poor in a case and of some utility in the other The necessity of developing models involving more substantial physical bases is emphasized.
On the modeling of rainfall estimate from geostationary satellite infrared data
CORRADINI, Corrado;
1992
Abstract
The reliability of three classical models for estimating frontal rainfalls from Meteosat infrared data is investigated. They are the NAWT, Arkin and CST models which were applied to two rainfall types occurred over an inland region in the Mediterranean Area. Rainfall data from a dense gauge network were used as a yardstick. Poor results for both the applications were obtained by the CST model. The other two models, which were used in a slight modified form recently proposed for frontal situations were characterized by comparable accuracy, with results very poor in a case and of some utility in the other The necessity of developing models involving more substantial physical bases is emphasized.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
