Open AccessEstimation of daily rainfall over the upper Nile river basin using a continuously calibrated satellite infrared technique
Author(s) -
Todd M C,
Barrett E C,
Beaumont M J,
Bellerby T J
Publication year - 1999
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1017/s1350482799001206
Subject(s) - environmental science , geostationary orbit , rain gauge , satellite , geostationary operational environmental satellite , context (archaeology) , meteorology , drainage basin , pixel , wet season , remote sensing , range (aeronautics) , climatology , hydrology (agriculture) , geology , geography , precipitation , cartography , computer science , materials science , geotechnical engineering , engineering , composite material , computer vision , aerospace engineering , paleontology
A continuously calibrated infrared (IR) geostationary satellite rainfall estimation technique (CCB4) is introduced, in the context of the Nile River Forecast System, an operational system for hydrological modelling and forecasting. The CCB4 incorporates near‐real‐time rain gauge data to continuously calibrate optimum IR rain/no‐rain thresholds and daily rain rates on a daily time step. The ability of the CCB4 and two comparative techniques to estimate daily rainfall at the regional and pixel scales is assessed, using Meteosat IR imagery and gauge data from six wet season months covering three years. The CCB4 shows improved skill in identifying rain days and estimating daily rain amounts at a range of spatial scales, from regional to pixel scales. At the pixel scale, however, improved root mean square errors remain relatively high, ranging between 66% and 84% of the mean unconditional rain rate. Copyright © 1999 Royal Meteorological Society