{"push_id":3145100643,"size":1,"distinct_size":1,"ref":"refs/heads/develop","head":"35e6d2fec9660f8b3a65045e9e2420b981cf06cf","before":"99eb2b9db630143f6cbc162f3d7e0e94e155ab34","commits":[{"sha":"35e6d2fec9660f8b3a65045e9e2420b981cf06cf","author":{"name":"Zhiquan (Jake) Liu","email":"a77ee3d08270f37a872544d583a29055888a1b3b@ucar.edu"},"message":"Add Himawari-8 AHI radiance DA capability (#731)\n\nTYPE: new feature\r\n\r\nKEYWORDS: Himawari-8, AHI, Radiance\r\n\r\nSOURCE: Yuanbing Wang (NUIST) and Jake Liu (NCAR)\r\n\r\nDESCRIPTION OF CHANGES:\r\n1. Himawari-8 AHI has 16 channels and this change allows the assimilation of 10 IR channels (channels 7-16).\r\n\r\n2. To make it work, need to do the following link under ~crtm_coeffs_2.3.0\r\nln -sf ahi_himawari8.SpcCoeff.bin ahi_himawari08.SpcCoeff.bin\r\nln -sf ahi_himawari8.TauCoeff.bin  ahi_himawari08.TauCoeff.bin\r\n\r\n3. Introduce a new namelist parameter 'varbc_scan(nsensor)' to choose either scan position (for polar-orbiting sensors, default varbc_scan=1) or satellite zenith angle (for GEO sensors, varbc_scan=2) as the angle predictor for variational bias correction. \r\n\r\n4. It is assumed that netcdf format Himawari-8 AHI input files (both level1 and level2) are generated \r\nfrom the raw HSD format data using CIMSS' GEOCAT software, which performs cloud detection.\r\nInput file names: L1AHITBR, L2AHICLP.\r\n\r\n5. NC file contains the full-disk data. The var/run/ahi_info file defines a sub-area to read.\r\n\r\nLIST OF MODIFIED FILES:\r\nM       Registry/registry.var\r\nM       var/build/depend.txt\r\nM       var/da/da_define_structures/da_define_structures.f90\r\nM       var/da/da_obs_io/da_read_y_unit.inc\r\nM       var/da/da_radiance/da_allocate_rad_iv.inc\r\nM       var/da/da_radiance/da_deallocate_radiance.inc\r\nM       var/da/da_radiance/da_initialize_rad_iv.inc\r\nA       var/da/da_radiance/da_qc_ahi.inc\r\nM       var/da/da_radiance/da_qc_rad.inc\r\nM       var/da/da_radiance/da_radiance.f90\r\nM       var/da/da_radiance/da_radiance1.f90\r\nM       var/da/da_radiance/da_radiance_init.inc\r\nA       var/da/da_radiance/da_read_obs_hdf5ahi.inc\r\nA       var/da/da_radiance/da_read_obs_netcdf4ahi_geocat.inc\r\nA       var/da/da_radiance/da_read_obs_netcdf4ahi_jaxa.inc\r\nM       var/da/da_radiance/da_setup_radiance_structures.inc\r\nM       var/da/da_radiance/module_radiance.f90\r\nM       var/da/da_setup_structures/da_setup_obs_structures.inc\r\nM       var/da/da_setup_structures/da_setup_structures.f90\r\nM       var/da/da_varbc/da_varbc.f90\r\nM       var/da/da_varbc/da_varbc_pred.inc\r\nM       var/run/VARBC.in\r\nA       var/run/ahi_info\r\nA       var/run/radiance_info/himawari-8-ahi.info\r\n\r\nTESTS CONDUCTED: \r\n1. WRFDA-only changes. No impact on WRF.\r\n2. AHI radiance 3DVAR DA capability is tested at a 3-km resolution for a 2017061700 case over North China using CRTM.\r\n3. WRFDA regression tests passed with gnu and intel compilers.\r\n\r\nRELEASE NOTE: New capability for Himawari-8 AHI radiance data assimilation.\r\nWang, Y., Z. Liu, S. Yang, J. Min, L. Chen, Y. Chen, and T. Zhang, 2018: Added value of assimilating Himawari-8 AHI water vapor radiances on analyses and forecasts for \"7.19\" severe storm over north China. J. Geophys. Res. Atmos., 123, https://doi.org/10.1002/2017JD027697.","distinct":true,"url":"https://api.github.com/repos/wrf-model/WRF/commits/35e6d2fec9660f8b3a65045e9e2420b981cf06cf"}]}
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