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RISLMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration
Publisher: American Meteorological Society
Abstract: The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated ...
LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part II: Validation
Publisher: American Meteorological Society
Abstract: A new satellite-based rainfall monitoring algorithm that integrates the strengths of both low Earth-orbiting (LEO) and geostationary Earth-orbiting (GEO) satellite information has been developed. The Lagrangian Model ...
Rainfall Estimation from a Combination of TRMM Precipitation Radar and GOES Multispectral Satellite Imagery through the Use of an Artificial Neural Network
Publisher: American Meteorological Society
Abstract: This paper describes the development of a satellite precipitation algorithm designed to generate rainfall estimates at high spatial and temporal resolutions using a combination of Tropical Rainfall Measuring Mission (TRMM) ...
A Combined Satellite Infrared and Passive Microwave Technique for Estimation of Small-Scale Rainfall
Publisher: American Meteorological Society
Abstract: There are numerous applications in climatology and hydrology where accurate information at scales smaller than the existing monthly/2.5° products would be invaluable. Here, a new microwave/infrared rainfall algorithm is ...
Satellite Rainfall Estimation Using Combined Passive Microwave and Infrared Algorithms
Publisher: American Meteorological Society
Abstract: The development of a combined infrared and passive microwave satellite rainfall estimation technique is outlined. Infrared data from geostationary satellites are combined with polar-orbiting passive microwave estimates to ...