Progress Report I: Simulation of GOES Radiances for OSSE Tong Zhu 1, F. Weng 1, J. Woollen 2, M. Masutani 2, S. Lord 2, Y. Song 2, Q. Liu 1, S. A. Boukabara.

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Presentation transcript:

Progress Report I: Simulation of GOES Radiances for OSSE Tong Zhu 1, F. Weng 1, J. Woollen 2, M. Masutani 2, S. Lord 2, Y. Song 2, Q. Liu 1, S. A. Boukabara 1 Ronald Errico 3 1. NOAA/NESDIS/STAR, Camp Springs, MD 2. NOAA/NWS/NCEP/EMC, Camp Springs, MD 3. NASA/GSFC/GMAO, Greenbelt,MD

Objective GOES data is simulated to test impact of GOES in simulation experiments in comparison with impact of real data. OSSE for GOES will serve as a calibration for GOESR OSSE.

Procedures NCEP and NESDIS are working to set up the scripts to produce radiance data while GMAO is developing a sampling method, cloud clearing algorithm, and error assignment for simulated radiance data. In this work data for cloudy areas will be simulated and TCC values (or other values) to help with cloud masking will be attached for use in quality control. A pre-processor will be written to discard radiances for cloudy conditions. This work also include estimation of resources required. When GMAO is ready with the cloud clearing algorithm, that will be included as a pre-processor.

DB91L Input data set for CRTM to simulate radiance data. The data set contains 91 level nature run variables horizontally interpolated to an observation point without vertical interpolation. Selected model level data and all surface data are included. Climatological data (such as vegetation surface type) are processed separately. The orbital pattern data are extracted from BUFR dump files. DB91L includes all necessary information need to simulate radiance from NR and BUFR dump files. DB91L can be saved either every 6 hours or 6 minutes depending on the amount of data. DB91L data will be saved in binary format.

Summary This work showed that data are processed reasonably. Decoding, interpolation, and CRTM are working. Weather patterns in presented figures are produced by water and ice in the cloud. These radiance data are most likely contaminated by cloud and are not assimilated by DAS. Since GSI simulates radiance as a clear radiance, simulating only clear radiance is considered to be the first step. Various sampling strategies are considered.