An updated parameterization of the unstable atmospheric surface layer in the Weather Research and Forecasting (WRF) modeling system

Namdev, Prabhakar; Sharan, Maithili; Srivastava, Piyush; Mishra, Saroj Kanta

doi:https://doi.org/10.5194/gmd-17-8093-2024

Articles | Volume 17, issue 22

https://doi.org/10.5194/gmd-17-8093-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-8093-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 22

Development and technical paper

|

14 Nov 2024

Development and technical paper |

| 14 Nov 2024

An updated parameterization of the unstable atmospheric surface layer in the Weather Research and Forecasting (WRF) modeling system

Prabhakar Namdev, Maithili Sharan, Piyush Srivastava, and Saroj Kanta Mishra

Supplement

https://doi.org/10.5194/gmd-17-8093-2024-supplement

Data sets

Dataset for the article titled "An Updated Parameterization of the Unstable Atmospheric Surface Layer in WRF Modeling System" Prabhakar Namdev et al. https://doi.org/10.5281/zenodo.10435513

A Description of the Advanced Research WRF Version 4 W. C. Skamarock et al. https://doi.org/10.5065/1dfh-6p97

CTCZ - Data Availability ESSO https://odis.incois.gov.in/portal/datainfo/ctczdata.jsp

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Short summary

Inadequate representation of surface–atmosphere interaction processes is a major source of uncertainty in numerical weather prediction models. Here, an effort has been made to improve the Weather Research and Forecasting (WRF) model version 4.2.2 by introducing a unique theoretical framework under convective conditions. In addition, to enhance the potential applicability of the WRF modeling system, various commonly used similarity functions under convective conditions have also been installed.