Satellite Bias Correction in the Regional Model ALADIN/CZ: Comparison of Different VarBC Approaches.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F19%3AN0000091" target="_blank" >RIV/00020699:_____/19:N0000091 - isvavai.cz</a>
Result on the web
<a href="https://journals.ametsoc.org/doi/10.1175/MWR-D-18-0359.1" target="_blank" >https://journals.ametsoc.org/doi/10.1175/MWR-D-18-0359.1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1175/MWR-D-18-0359.1" target="_blank" >10.1175/MWR-D-18-0359.1</a>
Alternative languages
Result language
angličtina
Original language name
Satellite Bias Correction in the Regional Model ALADIN/CZ: Comparison of Different VarBC Approaches.
Original language description
The bias correction of satellite radiances is an essential component of data assimilation system in numerical weather prediction (NWP). The variational bias correction (VarBC) scheme is widely used by global NWP centers, but there are still open questions regarding its use in limited-area models (LAMs). We present a study of key VarBC aspects in the limited-area 3D-Var system using the state-of-the-art NWP system ALADIN. Two basic VarBC applications are tested, specifically adopting bias coefficients from the global model ARPEGE and cycling bias coefficients independently in the LAM ALADIN (VarBC-LAM). The latter application is studied using daily update of bias coefficients with regards to static and dynamic settings of the VarBC stiffness. Extensive testing shows that the VarBC-LAM methods outperform the use of global coefficients from ARPEGE providing the better quality of the model first guess (3-h forecast), in the assimilation cycle with the largest normalized impact of 2%–3% for temperature and wind components in the midtroposphere. Compared to the global coefficients, there was little forecast impact between 24 and 48 h from using the VarBC-LAM coefficients. The various VarBC-LAM methods were comparable, but the CAM method may be most useful when an unexpected bias shows up.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Monthly Weather Review
ISSN
0027-0644
e-ISSN
1520-0493
Volume of the periodical
147
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
3223-3239
UT code for WoS article
000481803600001
EID of the result in the Scopus database
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