Variational Bias Correction of TAMDAR T#904
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liujake merged 3 commits intowrf-model:developfrom Nov 22, 2019
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@liujake this PR has been sitting for a while. Do we have a plan for review? |
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@jjguerrette I will take care of this when having time. Not priority for now. |
change a comment word to invoke Jenkins tests.
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Nov 22, 2019
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TYPE: new feature
KEYWORDS: aircraft data assimilation, bias correction, predictor
SOURCE: Feng Gao, gao.feng.nuist@gmail.com.
DESCRIPTION OF CHANGES:
Implement VarBC of TAMDAR temperature observations. It accounts for the representation of some well-known error sources contributing to uncertainties in aircraft-based temperature measurements. The bias correction is applied based upon aircraft's IDs and phases (descent/ascent/cruise).
To turn on this function, set "use_varbc_tamdar = true" in namelist (\wrfvar4).
Two types of bias model are provided:
varbc_tamdar_bm=1: two predictors are a constant of 1.0 and vertical motion rates of aircraft.
varbc_tamdar_bm=2: five predictors are a constant of 1.0, vertical motion rates of aircraft, Mach number, temperature tendency, and temperature measured.
LIST OF MODIFIED FILES:
TESTS CONDUCTED:
RELEASE NOTE: New capability for variational bias correction of TAMDAR T observations.
Gao Feng, Liu Zhiquan, Ma Juhui, A. Jacobs Neil, P. Childs Peter, & Wang, Hongli. (2019). Variational Bias Correction of TAMDAR Temperature Observations in the WRF Data Assimilation System. Monthly Weather Review. 147. 10.1175/MWR-D-18-0025.1.