Assimilation of GNSS PWV with NCAR-RTFDDA to improve prediction of a landfall typhoon

Precipitable water vapor (PWV) retrieved from ground-based global navigation satellite system (GNSS) stations acquisition signal of a navigation satellite system provides high spatial and temporal resolution atmospheric water vapor. In this paper, an observation-nudging-based real-time four-dimensional data assimilation (RTFDDA) approach was used to assimilate the PWV estimated from GNSS observation into the WRF (Weather Research and Forecasting) modeling system. A landfall typhoon, "Mangkhut", is chosen to evaluate the impact of GNSS PWV data assimilation on its track, intensity, and precipitation prediction. The results show that RTFDDA can assimilate GNSS PWV data into WRF to improve the water vapor distribution associated with the typhoon. Assimilating the GNSS PWV improved the typhoon track and intensity prediction when and after the typhoon made landfall, correcting a 5-10 hPa overestimation (too deep) of the central pressure of the typhoon at landfall. It also improved the occurrence and the intensity of the major typhoon spiral rainbands.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Wang, Haishen
Liu, Yubao
Liu, Yuewei
Cao, Yunchang
Liang, Hong
Hu, Heng
Liang, Jingshu
Tu, Manhong
Publisher UCAR/NCAR - Library
Publication Date 2022-01-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T18:34:27.252250
Metadata Record Identifier edu.ucar.opensky::articles:25094
Metadata Language eng; USA
Suggested Citation Wang, Haishen, Liu, Yubao, Liu, Yuewei, Cao, Yunchang, Liang, Hong, Hu, Heng, Liang, Jingshu, Tu, Manhong. (2022). Assimilation of GNSS PWV with NCAR-RTFDDA to improve prediction of a landfall typhoon. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7jq14k0. Accessed 24 January 2025.

Harvest Source