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New indirect radar reflectivity assimilation scheme based on background-dependent hydrometeor retrieval. #1920

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merged 20 commits into from
Dec 19, 2023

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mos3r3n
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@mos3r3n mos3r3n commented Oct 6, 2023

A background-dependent hydrometeor retrieval scheme for indirect radar reflectivity assimilation

TYPE: New feature

KEYWORDS: Reflectivity assimilation, hydrometeor retrieval

SOURCE: Haiqin Chen (Nanjing University); Tao Sun (NCAR)

DESCRIPTION OF CHANGES:
Problem:
In the original WRFDA use_radar_rhv scheme, the proportion of the snow and graupel is a fixed value
that is measured by the ratio of coefficients for snow and graupel. In that case, the same snow mixing ratio and graupel mixing ratio are retrieved from reflectivity data.

Solution:
A background-dependent hydrometer retrieval and assimilation scheme is added to assimilate hydrometeors from reflectivity data. In this new scheme, the proportion of each hydrometeor from reflectivity data is diagnosed from background microphysical states. With this scheme, the contribution of each hydrometeor species to the reflectivity varies widely
in different reflectivity ranges and different heights. Therefore, the retrieved hydrometeors are more reasonable, and better hydrometeor analysis can be obtained from reflectivity assimilation.
References:
Chen, H., Gao, J., Wang, Y., Chen, Y., Sun, T., Carlin, J. and Zheng, Y., 2021. Radar reflectivity data assimilation method based on background‐dependent hydrometeor retrieval: Comparison with direct assimilation for real cases. Quarterly Journal of the Royal Meteorological Society, 147(737), pp.2409-2428.
Chen, H., Chen, Y., Gao, J., Sun, T. and Carlin, J.T., 2020. A radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: An observing system simulation experiment. Atmospheric research, 243, p.105022.

LIST OF MODIFIED FILES: list of changed files (use git diff --name-status master to get formatted list)
M. Registry/registry.var
M. var/da/da_radar/da_radar.f90
M. var/da/da_radar/da_get_innov_vector_radar.inc

TESTS CONDUCTED:

  1. The codes are successfully compiled in Chyenne using the intel fortran.
  2. Single-time reflectivity assimilation has been tested in Cheyenne and reasonable results are obtained.

@mos3r3n mos3r3n requested a review from a team as a code owner October 6, 2023 05:39
@mos3r3n mos3r3n marked this pull request as draft October 6, 2023 05:41
@weiwangncar
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The regression test results:

Test Type              | Expected  | Received |  Failed
= = = = = = = = = = = = = = = = = = = = = = = =  = = = =
Number of Tests        : 23           24
Number of Builds       : 60           57
Number of Simulations  : 158           150        0
Number of Comparisons  : 95           86        0

Failed Simulations are: 
None
Which comparisons are not bit-for-bit: 
None

@mos3r3n mos3r3n marked this pull request as ready for review October 6, 2023 15:50
@liujake liujake added the WRFDA label Dec 18, 2023
liujake
liujake previously approved these changes Dec 18, 2023
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Looks good! Thank you for this contribution!
@weiwangncar Can you also approve it if regtest passes? Then I can merge.

junmeiban
junmeiban previously approved these changes Dec 18, 2023
@mos3r3n mos3r3n dismissed stale reviews from junmeiban and liujake via 0a38f0e December 18, 2023 22:39
@liujake liujake self-requested a review December 19, 2023 00:31
@weiwangncar
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The latest regression test results:

Test Type              | Expected  | Received |  Failed
= = = = = = = = = = = = = = = = = = = = = = = =  = = = =
Number of Tests        : 23           24
Number of Builds       : 60           57
Number of Simulations  : 158           150        0
Number of Comparisons  : 95           86        0

Failed Simulations are: 
None
Which comparisons are not bit-for-bit: 
None

@liujake liujake merged commit e11cb33 into wrf-model:develop Dec 19, 2023
1 of 2 checks passed
@mos3r3n mos3r3n deleted the RadarDA_HyBG branch December 19, 2023 22:57
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5 participants