Data assimilation (DA) for WRF

MMM scientists work to guide and coordinate externally funded and community developments in WRFDA, such as the multi-resolution incremental 4D extension of the ensemble-based 3DVar, further improvements to the radar assimilation for convective-scale applications, variational bias correction of aircraft data assimilation of radiances from geostationary satellites, and incorporation into WRFPlus of adjoints of some WRF/Chem modules.

In fiscal year 2017, scientists made progress developing capabilities for GOES-Imager radiance DA, Himawari-8 AHI radiance DA, multiresolution 4DVAR and variational bias correction for aircraft temperature.  Further information about GOES-Imager can be found in the paper referenced below.

DA Figure

Figure: GOES-13 imager water vaport channel's brightness temperatures from the (a) GOES observation and the CRTM simulated values using the WRF 24-h forecast valid at 0000 UTC 10 March, 2016 from the experiment (b) without and (c) with the assimilation of GOES-Imager radiances.


Yang, C., Z. Liu, F. Gao, P. P. Childs, and J. Min, 2017: Impact of assimilating GOES imager clear-sky radiance with a rapid refresh assimilation system for convection-permitting forecast over Mexico. J. Geophys. Res. Atmos., 122, 5472–5490, doi:10.1002/2016JD026436.