- Add a regularized version of WSM6 and its tangent linear and adjoint for 4DVar, contributed by
Sen Yang, Deqin Li, & Liqiang Chen at the Institute of Atmospheric Environment,
China Meteorological Administration.
Yang, S., D. Q. Li, L. Q. Chen, Z. Liu, X.-Y. Huang, and X. Pan, 2023: The regularized WSM6
microphysical scheme and its validation in WRF 4D-Var. Adv. Atmos. Sci., 40, 483-500.
doi: 10.1007/s00376-022-2058-6.
This addition allows the analysis of all five hydrometeors
using 4DVar. Prior to version 4.5, 4DVar can only analyze cloud liquid water and rain with TL/AD
of a warm rain scheme. To use this scheme in 4DVar, set mp_physics_ad=106 in WRFDA's namelist.input.
One does NOT have to set mp_physics=106 for non-linear trajectory of 4DVar, though one can choose
to do so for consistency between non-linear and linear microphysics scheme.
- Enhanced Himawari-AHI radiance data assimilation capability, contributed by Craig Schwartz
(NCAR/MMM). Enhancements include:
(1) Introduction of an all-sky obs error model (Harnisch et al., 2016) for all-sky AHI DA;
(2) Optional read and use of AHI level-2 product (e.g., cloud mask);
(3) More efficient read of a sub-area of the full disk data;
(4) Allow the use of offline statistics of constant bias correction values;
(5) More diagnostic output (peak of weighting functions, cloud ice water path, cloud flag) in omb/oma files.
Two new namelist parameters in &wrfvar14: ahi_use_symm_obs_err and ahi_apply_clrsky_bias
(default is false). All-sky infrared radiance DA reference:
Xu, D. M., Z. Q. Liu, S. Y. Fan, M. Chen, and F. F. Shen, 2021: Assimilating all-sky infrared
radiances from Himawari-8 using the 3DVar method for the prediction of a severe storm over
North China. Adv. Atmos. Sci., 38(4), 661-676.
For instructions on compiling and running the latest version of WRFDA, please refer to the updated User's Guide
