Toward a unified parameterization of three dimensional turbulent transport in high resolution numerical weather prediction models

Zhu, Ping; Fung, Kwun Yip.; Zhang, Xuejin; Zhang, Jun A.; Bao, Jian-Wen; Wang, Chuan-Kai; Liu, Bin; Zhang, Zhan; Harris, Lucas; Gao, Kun; Yang, Fanglin; Han, Jongil; Wang, Weiguo

doi:10.1038/s41612-025-01117-6

i

Toward a unified parameterization of three dimensional turbulent transport in high resolution numerical weather prediction models

2025
By Zhu, Ping ; Fung, Kwun Yip. ; Zhang, Xuejin ; ...

Details

Journal Title:

npj Climate and Atmospheric Science
Personal Author:

Zhu, Ping ; Fung, Kwun Yip. ; Zhang, Xuejin ; Zhang, Jun A. ; Bao, Jian-Wen ; Wang, Chuan-Kai ; Liu, Bin ; Zhang, Zhan ; Harris, Lucas ; Gao, Kun ; Yang, Fanglin ; Han, Jongil ; Wang, Weiguo
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory)
Description:

In numerical weather prediction (NWP) models, horizontal and vertical turbulent mixing is parameterized separately within the dynamic solver of a model and by a one-dimensional standalone module outside the dynamic core. This method becomes problematic as model resolution increases to the gray zone of turbulence parameterization where three-dimensional (3D) anisotropic turbulence tends to generate inter-connected horizontal and vertical mixing that cannot be artificially separated. To remediate the problem, a 3D scale-aware (SA) turbulence scheme based on a generalized turbulence closure applicable across scales has been developed and implemented in the Hurricane Analysis and Forecast System (HAFS). Simulations of 11 Atlantic basin storms of 2024 show that the new scheme substantially improves HAFS’s forecasting skill for storms with hurricane strength, suggesting that an appropriate account for 3D anisotropic turbulent transport is important for track and intensity forecast of tropical cyclones and provides a venue for realistically representing sub-grid-scale turbulence in NWP.
Source:

npj Climate and Atmospheric Science, 8(1)
DOI:

https://doi.org/10.1038/s41612-025-01117-6
ISSN:

2397-3722
Format:

PDF
Publisher:

Springer Science and Business Media LLC
Document Type:

Journal Article
Funding:

Grant no. NA22OAR4590177 ; Grant no. NA22OAR4590177 ; Grant no. NA22OAR4590177
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:93cbbac3ecd21b06e42f36ae3166f59b690908892a620b4314a0432c88baab26de9142ae08e0a44b4c92b21494a5e50da7a39552ddcc669501581893dfc621a6
Download URL:

https://repository.library.noaa.gov/view/noaa/71084/noaa_71084_DS1.pdf
File Type:

[PDF - 4.90 MB ]

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.