U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Direct Assimilation of GOES-16 ABI All-Sky Radiances in HAFS Self-Cycled Dual-Resolution 3DEnVar System: System Description and a Case Study of Hurricane Laura (2020)



Select the Download button to view the document
Please click the download button to view the document.

Details

  • Journal Title:
    Weather and Forecasting
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Compared to utilizing temperature and mixing ratios of water vapor and hydrometeors as state variables (Standard_state), the direct assimilation of GOES-16 Advanced Baseline Imager (ABI) channel-10 all-sky radiances is advanced by additionally including brightness temperature (BT) as a state variable (BT_state) within the Hurricane Analysis and Forecast System (HAFS) self-cycled dual-resolution three-dimensional ensemble–variational (3DEnVar) data assimilation (DA) system. With a focus on the rapid intensification (RI) predictions for Hurricane Laura (2020), the ABI all-sky radiances and operational observations are simultaneously assimilated during the pre-RI to RI period. Statistical comparisons across multiple DA cycles demonstrate the superiority of BT_state over Standard_state in terms of objective alignment with observations for background, analyses, and forecasts. Compared to Standard_state, the closer fit of BT_state to observations benefits from better convergence and faster variational minimization. The performances of the background, analyses, and forecasts from Standard_state and BT_state are verified subjectively against various observations. During the DA period, the background and analysis from BT_state outperform Standard_state in capturing the storm size, surrounding clear-sky areas, and the wind field structure within the storm region. Additionally, BT_state yields higher forecast skill than Standard_state for the intensity, track, and main structural features of Laura. Detailed diagnostics suggest that the enhanced thermodynamic structure analysis in BT_state facilitates the RI prediction, and the improved large-scale environment analysis in BT_state contributes to the accurate track prediction.
  • Source:
    Weather and Forecasting, 41(1), 187-203
  • DOI:
  • ISSN:
    0882-8156 ; 1520-0434
  • Format:
    pdf
  • Publisher:
    American Meteorological Society
  • Document Type:
    Journal Article
  • Funding:
    Grant no. NA22OAR4590183
  • Rights Information:
    Other
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:afd165f17bca7479c90f3b8437619f5a8a42d121787be4a20d2b33c100359dc08f325ef1dc69aad5c1664d27796b518052104a21fe511fe1037a17b9c0e87026
  • Download URL:
  • File Type:
    Filetype[PDF - 10.93 MB ]
PREVIOUS
ON THIS PAGE
Details
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP