A study of the 1999 monsoon rainfall in a mountainous region in central Nepal using TRMM products and rain gauge observations
TLDR
In this article, the authors compared precipitation derived from the precipitation radar (PR) and the microwave imager instruments on board the Tropical Rainfall Measuring Mission (TRMM) satellite.Abstract:
Raingauge data from the 1999 monsoon were compared with precipitation derived from the precipitation radar (PR) and the microwave imager instruments on board the Tropical Rainfall Measuring Mission (TRMM) satellite. The raingauges are part of a new hydrometeorological network installed in the Marsyandi river basin, which extends from the edge of the Tibetan Plateau to the Gangetic basin. TRMM-derived precipitation showed better detection of rain at low altitude stations as compared with high elevation stations, with good scores for the PR product for rain rates >0.5 mm/hr. The 3D PR rain rates suggest strong interaction between mesoscale convective systems and steep terrain at elevations of 1–2 km, which is consistent with the very high rainfall measured at those locations. Analysis of the raingauge data shows that even at altitudes as high as 4,000 m the cumulative monsoon rainfall is comparable to the highest amount recorded in the Indian subcontinent.read more
Citations
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References
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The Tropical Rainfall Measuring Mission (TRMM) Sensor Package
TL;DR: In this article, the authors present a reference guide to users wishing to make use of the Tropical Rainfall Measuring Mission data, which covers each of the three primary rainfall instruments: the passive microwave radiometer, the precipitation radar, and the Visible and Infrared Radiometer System on board the spacecraft.
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A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors
TL;DR: In this article, a Bayesian approach was proposed for retrieving the precipitation and vertical hydrometeor profiles from downward viewing radiometers based on a prior probability density function of rainfall profiles, which is computationally much less expensive than previous profiling schemes and has been designed specifically to allow for tractability of assumptions.
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Estimation of Monthly Rainfall over Japan and Surrounding Waters from a Combination of Low-Orbit Microwave and Geosynchronous IR Data
TL;DR: In this article, a method is described for estimating the mean monthly rainfall data for climate studies by combining the geosynchronous IR and low-orbit microwave data, which uses the brightness temperature at 37 and 86 GHz from the Special Sensor Microwave/Imager instrument on board the DMSP satellite to define raining areas over water and land, and the 86-GHz scattering signal to assign rain rate based on cloud model-microwave calculations.
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Rain profiling algorithm for TRMM precipitation radar data
TL;DR: In this article, the authors describe the TRMM standard algorithm 2A25 which estimates the instantaneous vertical profile of rain from Precipitation Radar (PR) data, and show the critical part of the algorithm, and shows some results of comparisons of data taken nearly simultaneously by a TRMM PR and a ground-based radar.