A three-dimensional variation (3D-var) retrieval of temperature and water vapor profiles

One-dimensional variation retrieval system has been applied for several decades and provided valuable products to a large community for satellite sensor monitoring, climate studies, and quality control in numerical weather prediction (NWP) centers. This paper attempts to use a three-dimensional vari...

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Bibliographic Details
Main Authors: Quanhua Liu, Fuzhong Weng, Boukabara, Sid-Ahmed, Yong Han
Format: Conference Proceeding
Language:English
Subjects:
3D-var
Algorithm design and analysis
Data assimilation
Forecasting
Retrieval
Satellite broadcasting
Satellites
Temperature measurement
typhoon Choi-wan
Typhoons
Online Access:Request full text
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Summary:One-dimensional variation retrieval system has been applied for several decades and provided valuable products to a large community for satellite sensor monitoring, climate studies, and quality control in numerical weather prediction (NWP) centers. This paper attempts to use a three-dimensional variation (3D-var) method to further improve the retrieval system. We set up a 3D-var retrieval algorithm based on a Gridpoint Statistical Interpolation (GSI) scheme from the National Center for Environmental Prediction (NCEP). The 3D-var retrieval system can be applied without any conventional observations. In comparison with analysis, the 3D-var retrieved temperature and water vapor profiles are better than background values that are 6-hour forecast. The result implies that 3D-var retrieval system is valuable. Even using climatologic data as the background and the first guess, the 3D-var retrieval system is able to produce a low pressure field at the surface and the warm core at upper troposphere for the typhoon Choi-wan.
DOI:10.1109/MICRORAD.2010.5559571