Journal ArticleDOI
Retrieval of Monthly Rainfall Indices from Microwave Radiometric Measurements Using Probability Distribution Functions
Reads0
Chats0
TLDR
In this paper, an algorithm for the estimation of monthly rain totals for 5° cells over the oceans from histograms of SSM/I brightness temperatures has been developed, which uses knowledge of the form of the rainfall intensity probability density function to augment the measurements.Abstract:
An algorithm for the estimation of monthly rain totals for 5° cells over the oceans from histograms of SSM/I brightness temperatures has been developed. Them are three novel features to this algorithm. First, it uses knowledge of the form of the rainfall intensity probability density function to augment the measurements. Second, a linear combination of the 19.35 and 22.235 GHz channels has been employed to reduce the impact of variability of water vapor. Third, an objective technique has been developed to estimate the rain layer thickness from the 19.35- and 22.235-GHz brightness temperature histograms. Comparison with climatologies and the GATE radar observations suggest that the estimates are reasonable in spite of not having a beam-filling correction. By-products of the retrievals indicate that the SSM/I instrument noise level and calibration stability am quite good.read more
Citations
More filters
Journal ArticleDOI
The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present)
Robert F. Adler,George J. Huffman,Alfred T. C. Chang,Ralph Ferraro,Pingping Xie,John E. Janowiak,B. Rudolf,Udo Schneider,Scott Curtis,David T. Bolvin,Arnold Gruber,Joel Susskind,P. A. Arkin,Eric Nelkin +13 more
TL;DR: The Global Precipitation Climatology Project (GPCP) version 2 Monthly Precise Analysis as discussed by the authors is a merged analysis that incorporates precipitation estimates from low-orbit satellite microwave data, geosynchronous-orbit-satellite infrared data, and rain gauge observations.
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
A Gauge-Based Analysis of Daily Precipitation over East Asia
Pingping Xie,Akiyo Yatagai,Mingyue Chen,Tadahiro Hayasaka,Yoshihiro Fukushima,Changming Liu,Song Yang +6 more
TL;DR: In this paper, a new gauge-based analysis of daily precipitation was constructed on a 0.5° latitude-longitude grid over East Asia (5°-60°N, 65°-155°E) for a 26-yr period from 1978 to 2003 using gauge observations at over 2200 stations collected from several individual sources.
Journal ArticleDOI
The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors
Christian D. Kummerow,Yang Hong,William S. Olson,Song Yang,Robert F. Adler,Jeffrey R. McCollum,Ralph Ferraro,Grant W. Petty,D.-B. Shin,Thomas T. Wilheit +9 more
TL;DR: The latest improvements applied to the Goddard profiling algorithm (GPROF) are described, particularly as they apply to the Tropical Rainfall Measuring Mission (TRMM), and the new algorithm makes use of emission and scattering indices instead of individual brightness temperatures.