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This paper revisits the problem of nding a parametric form for the rain drop size distribution (DSD) which 1) is an appropriate model for tropical rainfall, and 2) involves statistically independent parameters. Using TOGA/COARE data, we derive a parametrization which meets these criteria. This new parametrization is an improvement on the one that was(More)
This paper describes a computationally ecient nearly-optimal Bayesian algorithm to estimate rain (and drop-size-distribution) proles, given a radar re BLOCKINectivity prole at a single attenuating wavelength. In addition to estimating the averages of all the mutually ambiguous combinations of rain parameters that can produce the data observed, the approach(More)
[1] Numerous studies have documented the effect of El Niño-Southern Oscillation (ENSO) on rainfall in many regions of the globe. The question of whether ENSO is the single most important factor in interannual rainfall variability has received less attention, mostly because the kind of data that would be required to make such an assessment were simply not(More)
Vertical profiling of precipitation using passive microwave observations: The main impediment and a proposed solution, Abstract Several methods have been proposed to train microwave radiometers to retrieve precipitation rates estimated by a radar which observed the same location at the same time. These radar-trained passive-microwave algorithms differ in(More)
The threat of flooding from landfalling tropical cyclones is a function of the local variation in rain rate and rain accumulation. To date, these have been inferred from single-frequency radar reflec-tivity measurements. However, the Tropical Rainfall Measuring Mission experience has confirmed that one of the main difficulties in retrieving rain profiles(More)