System Overview

WRFDA V4.5

WRFDA V4.4

WRFDA V4.3

WRFDA V4.1

WRFDA V4.1

WRFDA V4.0

WRFDA V3.9.1

WRFDA V3.9

WRFDA V3.8.1

WRFDA V3.8

WRFDA V3.7.1

WRFDA V3.7

WRFDA V3.6.1

WRFDA V3.6

WRFDA V3.5.1

WRFDA V3.5.0.1

WRFDA V3.5

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WRFDA V3.4

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WRFDA Version 4.5 update summary

WRFDA Version 4.5 was released on April 20, 2023.

New features:

  • 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 features:

  • 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

Helpful links

  • Compiling WRFDA for 3DVAR
  • Compiling WRFPLUS and WRFDA for 4DVAR
  • Running WRFDA
  • List and description of namelist variables




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