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.
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.
the Creative Commons Attribution 4.0 License.
An updated parameterization of the unstable atmospheric surface layer in the Weather Research and Forecasting (WRF) modeling system
Prabhakar Namdev
CORRESPONDING AUTHOR
Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, India
Maithili Sharan
Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, India
Piyush Srivastava
Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Saroj Kanta Mishra
Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, India
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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.
Inadequate representation of surface–atmosphere interaction processes is a major source of...