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Tropical Rainfall: A Comparison of Satellite-derived Rainfall Estimates with Model Precipitation Forecasts, Climatologies, and Observations
Publisher: American Meteorological Society
Abstract: Quantitative estimates of rainfall, as derived from satellite observations of cloud-top temperature, have been produced for each 2.5° lat-long location from 30°N to 30°S for the period 1986?89. These remotely sensed estimates ...
An Investigation of Interannual Rainfall Variability in Africa
Publisher: American Meteorological Society
Abstract: Interannual variations in African rainfall are examined using rotated principal component analysis (PCA) applied to anomalies from the annual mean as well as seasonal anomalies. The rotated PCA loading patterns suggest ...
A Global-Scale Examination of Monsoon-Related Precipitation
Publisher: American Meteorological Society
Abstract: A pentad version of the Global Precipitation Climatology Project global precipitation dataset is used to document the annual and interannual variations in precipitation over monsoon regions around the globe. An algorithm ...
CAMS–OPI: A Global Satellite–Rain Gauge Merged Product for Real-Time Precipitation Monitoring Applications
Publisher: American Meteorological Society
Abstract: A method has been developed to produce real-time rain gauge?satellite merged analyses of global monthly precipitation. A dataset of these analyses spans the period from January 1979 to the present, which is sufficiently ...
Atmospheric Circulation Associated with the Midwest Floods of 1993
Publisher: American Meteorological Society
Abstract: This paper presents an observational analysis of the large-scale atmospheric circulation prior to and during the Midwest floods of June?July 1993. The floods developed and persisted in association with three major circulation ...
Sampling-Induced Conditional Biases in Satellite Climate-Scale Rainfall Estimates
Publisher: American Meteorological Society
Abstract: The effect of temporal sampling error in satellite estimates of climate-scale rainfall is to produce a ?conditional? bias where the algorithm overestimates high rainfall and underestimates low rainfall. Thus, the bias is ...