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Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system

Cited 3 time in scopus
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Title
Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system
Authors
Kwon, Hataek
Kang, Jisoon
Jo, Youngsoon
Kang, Jeon Ho
Subject
Meteorology & Atmospheric Sciences; Oceanography
Keywords
Data Assimilation; Ensemble Kalman Filter; GPS Radio Occultation
Issue Date
2015
Citation
Kwon, Hataek, et al. 2015. "Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system". Implementation of a GPS-RO data processing system for the KIAPS-LETKF data assimilation system Atmos Meas Tech, 8: 1259-1273.
Abstract
The Korea Institute of Atmospheric Prediction Systems (KIAPS) has been developing a new global numerical weather prediction model and an advanced data assimilation system. As part of the KIAPS package for observation processing (KPOP) system for data assimilation, preprocessing, and quality control modules for bending-angle measurements of global positioning system radio occultation (GPSRO) data have been implemented and examined. The GPSRO data processing system is composed of several steps for checking observation locations, missing values, physical values for Earth radius of curvature, and geoid undulation. An observation-minus-background check is implemented by use of a one-dimensional observational bending-angle operator, and tangent point drift is also considered in the quality control process. We have tested GPS-RO observations utilized by the Korean Meteorological Administration (KMA) within KPOP, based on both the KMA global model and the National Center for Atmospheric Research Community Atmosphere Model with Spectral Element dynamical core (CAMSE) as a model background. Background fields from the CAM-SE model are incorporated for the preparation of assimilation experiments with the KIAPS local ensemble transform Kalman filter (LETKF) data assimilation system, which has been successfully implemented to a cubed-sphere model with unstructured quadrilateral meshes. As a result of data processing, the bending-angle departure statistics between observation and background show significant improvement. Also, the first experiment in assimilating GPS-RO bending angle from KPOP within KIAPS-LETKF shows encouraging results.
DOI
http://dx.doi.org/10.5194/amt-8-1259-2015
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