DOI: 10.1002/2013JD020448
论文题名: A physical approach for a simultaneous retrieval of sounding, surface, hydrometeor, and cryospheric parameters from SNPP/ATMS
作者: Boukabara S.-A. ; Garrett K. ; Grassotti C. ; Iturbide-Sanchez F. ; Chen W. ; Jiang Z. ; Clough S.A. ; Zhan X. ; Liang P. ; Liu Q. ; Islam T. ; Zubko V. ; Mims A.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 22 起始页码: 12600
结束页码: 12619
语种: 英语
英文关键词: ATMS
; cryosphere
; remote sensing
; retrieval
; SNPP
; sounding
Scopus关键词: Algorithms
; Clouds
; Electromagnetic wave emission
; Geophysics
; Microwave acoustics
; Rain
; Remote sensing
; Satellite communication systems
; Temperature
; Weather satellites
; ATMS
; Cryosphere
; retrieval
; SNPP
; sounding
; Parameter estimation
; algorithm
; brightness temperature
; cryosphere
; data set
; hydrometeorology
; moisture
; noise
; radiative transfer
; satellite imagery
; sea ice
; United States
英文摘要: We present in this study the results obtained when applying a physical algorithm based on a variational methodology to data from the Advanced Technology Microwave Sounder (ATMS) onboard the Suomi National Polar-Orbiting Partnership (SNPP) for a consistent retrieval of geophysical data in all weather conditions. The algorithm, which runs operationally at the U.S. National Oceanic and Atmospheric Administration, is applied routinely to a number of sounders from the Polar-Orbiting Operational Environmental Satellites, the Defense Meteorological Satellite Program, and the European Meteorological Operational satellite constellations. The one-dimension variational (1DVAR) methodology, which relies on a forward operator, the Community Radiative Transfer Model, allows for solving the inversion of the radiometric measurements into geophysical parameters which have a direct impact on the brightness temperatures. The parameters that are produced by this Microwave Integrated Retrieval System algorithm include the atmospheric temperature T(p), moisture Q(p), and vertically integrated total precipitable water; and the surface skin temperature and emissivity as well as the hydrometeor products of nonprecipitating cloud liquid water and rain- and ice-water paths. In this algorithm, a simple postprocessing is applied to the 1DVAR-generated emissivity to derive cryospheric products (snow water equivalent and sea-ice concentration) when the data are measured over these surfaces. The postprocessing is also applied to the hydrometeors products to generate a surface rainfall rate. This comprehensive set of sounding, surface, hydrometeor, and cryospheric products generated from SNPP/ATMS is therefore radiometrically consistent, meaning that when input to the forward operator, it will allow the simulation of the actual brightness temperatures measurements within noise levels. The geophysical consistency between the products, also critical, is satisfied due to the physical approach adopted and the geophysical constraints introduced through the correlation matrix used in the variational system. The results shown in this paper confirm that the performances of all products are within the expected accuracy and precision figures and comparable to performances usually obtained with single-parameter-dedicated algorithms, with the added value that the inverted products are both radiometrically and geophysically consistent. Key Points Performances of ATMS EDRs generated by physical algorithm are good Assessment in rainy conditions show degraded sounding performances over land Precipitation, cryospheric, sounding, and surface products inverted consistently ©2013 The Authors. Journal of Geophysical Research: Atmospheres published by Wiley on behalf of the American Geophysical Union. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63150
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: NOAA/NESDIS/ORA, College Park, MD 20740, United States; RTI, College Park, MD, United States; AER Inc., College Park, MD, United States; IMSG Inc., College Park, MD, United States; University of Maryland, College Park, MD, United States; Colorado State University, United States
Recommended Citation:
Boukabara S.-A.,Garrett K.,Grassotti C.,et al. A physical approach for a simultaneous retrieval of sounding, surface, hydrometeor, and cryospheric parameters from SNPP/ATMS[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(22)