SNPP ATMS On-Orbit Geolocation Error Evaluation and Correction Algorithm

For the quantitative applications of the Suomi National Polar-orbiting Partnership (SNPP) Advanced Technology Microwave Sounder (ATMS), the geolocation accuracy of its sensor data records must be quantified during its on-orbit operation. In this paper, a refined coastline inflection point method is used to evaluate the on-orbit geolocation accuracy of SNPP ATMS. It is disclosed that for SNPP ATMS, the static error term with scan-angle-dependent feature is a dominant part among all the geolocation error sources. A mathematical model is then developed to convert the in-track and cross-track geolocation errors to the beam pointing Euler angles defined in the spacecraft coordinate system, which can be further used to construct the correction matrix for on-orbit geolocation process. By using the correction matrix built in this paper, the geolocation error is obviously reduced both at nadir and at the edge of the scan. The total geolocation error at nadir before/after correction is 3.8/0.8 km at K-band, 5.6/0.8 km at Ka-band, 3.3/0.4 km at V-band, and 1.5/0.1 km at W-band. The geolocation bias at the edge of the scan line before/after correction is 4.6/1.3 km at K-band, 9.4/1.8 km at Ka-band, 4.4/2.4 km at V-band, and 3.2/0.8 km at W-band. After correction, the scan-angle-dependent feature in geolocation error is also largely reduced.

[1]  Fuzhong Weng,et al.  Characterization of geolocation accuracy of Suomi NPP Advanced Technology Microwave Sounder measurements , 2016 .

[2]  David Kunkee,et al.  Geolocation Error Analysis of the Special Sensor Microwave Imager/Sounder , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Huan Meng,et al.  Correcting Geolocation Errors for Microwave Instruments Aboard NOAA Satellites , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Kory J. Priestley,et al.  Validation of Geolocation of Measurements of the Clouds and the Earth's Radiant Energy System (CERES) Scanning Radiometers aboard Three Spacecraft , 2009 .

[5]  X. Zou,et al.  Introduction to Suomi national polar‐orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications , 2012 .

[6]  Walter H. F. Smith,et al.  A global, self‐consistent, hierarchical, high‐resolution shoreline database , 1996 .

[7]  Jorge Nocedal,et al.  Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.

[8]  G. A. Poe,et al.  A study of the geolocation errors of the Special Sensor Microwave/Imager (SSM/I) , 1990 .

[9]  Yi Luo,et al.  Achieving Subpixel Georeferencing Accuracy in the Canadian AVHRR Processing System , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Xin Jin,et al.  Geolocation assessment for CrIS sensor data records , 2013 .

[11]  D. Roy,et al.  Achieving sub-pixel geolocation accuracy in support of MODIS land science , 2002 .

[12]  Ralf Bennartz,et al.  On the Use of SSM/I Measurements in Coastal Regions , 1999 .

[13]  Denis Tremblay,et al.  Improved scheme for Cross‐track Infrared Sounder geolocation assessment and optimization , 2017 .

[14]  Hu Yang,et al.  Estimation and Correction of Geolocation Errors in FengYun-3C Microwave Radiation Imager Data , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[15]  William L. Weaver,et al.  Calculation and accuracy of ERBE scanner measurement locations , 1987 .

[16]  D. Vallado Fundamentals of Astrodynamics and Applications , 1997 .

[17]  Robert E. Wolfe,et al.  Suomi NPP VIIRS prelaunch and on‐orbit geometric calibration and characterization , 2013 .

[18]  David T. Gregorich,et al.  Verification of AIRS boresight accuracy using coastline detection , 2003, IEEE Trans. Geosci. Remote. Sens..

[19]  J. Currey,et al.  Geolocation Assessment Algorithm for CALIPSO Using Coastline Detection , 2002 .