DOI: 10.1002/2013JD020376
论文题名: Geolocation assessment for CrIS sensor data records
作者: Wang L. ; Tremblay D.A. ; Han Y. ; Esplin M. ; Hagan D.E. ; Predina J. ; Suwinski L. ; Jin X. ; Chen Y.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 22 起始页码: 12690
结束页码: 12704
语种: 英语
英文关键词: CrIS
; Cross-Calibration
; Geolocation
; Suomi NPP
; Validation
Scopus关键词: Calibration
; Coding errors
; Infrared imaging
; Sensors
; Sounding apparatus
; Tracking (position)
; CrIS
; Cross calibration
; Geolocations
; Suomi NPP
; Validation
; Infrared devices
; accuracy assessment
; calibration
; data set
; error analysis
; infrared radiation
; radiometer
; sensitivity analysis
; sensor
; software
; spatial resolution
英文摘要: As important as spectral and radiometric calibration, the geometric calibration is one of the requisites for the Suomi National Polar-Orbiting Partnership Cross-track Infrared Sounder (CrIS) Sensor Data Records (SDR). In this study, spatially collocated measurements from the Visible Infrared Imaging Radiometer Suite (VIIRS) band I5 are used to evaluate the geolocation performance of the CrIS SDR by taking advantage of high spatial resolution and accurate geolocation of VIIRS measurements. The basic idea is to find the best collocation position between VIIRS and CrIS measurements by shifting VIIRS images in the track and scan directions. The retrieved best collocation position is then used to evaluate the CrIS geolocation performance by assuming the VIIRS geolocation as a reference. Sensitivity tests show that the method can well detect geolocation errors of CrIS within 30° scan angle. When the method was applied to evaluate the geolocation performance of the CrIS SDR, geolocation errors that were caused by software coding errors were successfully identified. After this error was corrected and the engineering packets V35 were released, the geolocation accuracy is 0.347 ± 0.051 km (1σ) in the scan direction and 0.219 ± 0.073 km in the track direction at nadir. Key Points CrIS is providing infrared radiance spectra for weather and climate studies CrIS geolocation is assessed using VIIRS measurements CrIS geolocation performs well to date ©2013. American Geophysical Union. All Rights Reserved. 资助项目: NA09NES4400006
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63161
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: Earth System Science Interdisciplinary Center, University of Maryland, 5825 University Research CT RM4001, College Park, MD 20740, United States; Science Data Processing Inc. at STAR, NESDIS, NOAA, College Park, MD, United States; Center for Satellite Applications and Research, NESDIS, NOAA, College Park, MD, United States; Northrop Grumman Aerospace Systems, Redondo Beach, CA, United States; Space Dynamics Laboratory, Utah State University, Logan, UT, United States; Exelis, Fort Wayne, IN, United States; Earth Resources Technology Inc. at STAR, NESDIS, NOAA, Laurel, MD, United States
Recommended Citation:
Wang L.,Tremblay D.A.,Han Y.,et al. Geolocation assessment for CrIS sensor data records[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(22)