Journal ArticleDOI
Effects of surface conditions on rain identification using the DMSP‐SSM/I
Ralph Ferraro,Norman C. Grody,Gerard F. Marks +2 more
- Vol. 11, pp 195-209
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TLDR
In this article, the spectral characteristics of brightness temperature measured by the Special Sensor Microwave/Imager (SSM/I) form the basis of a rain classification scheme, which is detailed and improved upon in this paper.Abstract:
Accurate rain identification using satellite‐based microwave radiometers requires the identification of surfaces having signatures similar to that of rain. This is especially important over land since highly variable surface conditions (such as changing vegetation cover, soil moisture, and snow cover) can result in similar microwave characteristics to that of precipitation. The spectral characteristics of brightness temperature measured by the Special Sensor Microwave/Imager (SSM/I) form the basis of a rain classification scheme (Grody, 1991), which is detailed and improved upon in this paper.read more
Citations
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Journal ArticleDOI
Global Precipitation: A 17-Year Monthly Analysis Based on Gauge Observations, Satellite Estimates, and Numerical Model Outputs
Pingping Xie,Phillip A. Arkin +1 more
TL;DR: In this article, the authors constructed a 2.5° latitude-longitude grid for the 17-yr period from 1979 to 1995 by merging several kinds of information sources with different characteristics, including gauge observations, estimates inferred from a variety of satellite observations, and the NCEP-NCAR reanalysis.
Journal ArticleDOI
The Global Precipitation Climatology Project (GPCP) combined precipitation dataset
George J. Huffman,Robert F. Adler,P. A. Arkin,Alfred T. C. Chang,Ralph Ferraro,Arnold Gruber,John E. Janowiak,Alan L. McNab,B. Rudolf,Udo Schneider +9 more
TL;DR: The Global Precipitation Climatology Project (GPCP) has released the GPCP Version 1 combined precipitation data set, a global, monthly precipitation dataset covering the period July 1987 through December 1995 as discussed by the authors.
Journal ArticleDOI
The Evolution of the Goddard Profiling Algorithm to a Fully Parametric Scheme
Christian D. Kummerow,David L. Randel,Mark S. Kulie,Nai-Yu Wang,Ralph Ferraro,S. Joseph Munchak,Veljko Petkovic +6 more
TL;DR: The Goddard profiling algorithm has evolved from a pseudoparametric algorithm used in the current TRMM operational product to a fully parametric approach used operationally in the GPM era (GPROF 2014), which uses a Bayesian inversion for all surface types.
Journal ArticleDOI
Global identification of snowcover using SSM/I measurements
Norman C. Grody,A.N. Basist +1 more
TL;DR: Comparisons are made between the SSM/I snowcover product and the NOAA/NESDIS subjectively analyzed weekly product, and an objective algorithm to monitor the global distribution of snowcover is developed.
Journal ArticleDOI
Special sensor microwave imager derived global rainfall estimates for climatological applications
TL;DR: In this paper, the authors compared the performance of the two satellite-based methods, namely, an 85 GHz scattering-based algorithm over land and a combined 19/37 GHz emission over ocean, and found that the 37 GHz scattering algorithm is sensitive to rain rates in excess of 8 mm/h.
References
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Journal ArticleDOI
Classification of snow cover and precipitation using the special sensor microwave imager
TL;DR: In this paper, a detailed evaluation of all SSMI channels is made in arriving at the optimum channel selection for the global identification of precipitation and snow cover without the use of any ancillary information.
Journal ArticleDOI
Land-surface-type classification using microwave brightness temperatures from the Special Sensor Microwave/Imager
TL;DR: In this article, a land-surface type classification scheme was developed to be used with the Special Sensor Microwave/Imager (SSM/I) algorithm package, which was based on statistical analysis of brightness temperature combinations from several surfaces, including dense vegetation, rangeland and agricultural soils, deserts, snow, precipitation, surface moisture etc.
Journal ArticleDOI
The First WetNet Precipitation Intercomparison Project (PIP-1)
TL;DR: The first Precipitation (algorithm) Intercomparison Project (PIP) as discussed by the authors was organized by and for the NASA-led WetNet activity, through reference to its objectives, Steering Committee, data sets, general and specific requirements for rainfall estimates solicited from participating laboratories based on passive microwave DMSP-SSM/I data for the months of July through November 1987, and by detailing its agreed schedule.
Journal ArticleDOI
Classification of Geophysical Parameters Using Passive Microwave Satellite Measurements
TL;DR: In this paper, the surface and precipitation features are determined over a test site in central North America during January 1979 using the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR).
Journal ArticleDOI
Classification of snow cover and precipitation using SSM/I measurements : case studies
J. V. Fiore,N. C. Grody +1 more
TL;DR: In this article, a satellite-based method for global classification of precipitation and snow cover in the microwave portion of the electromagnetic spectrum has been developed using three channels of data from the Special Sensor Microwave/ Imager (SSM/I).
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Classification of snow cover and precipitation using the special sensor microwave imager
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