Dear WRF Development Team,
I am writing to formally express my interest in contributing a novel cloud macrophysics parameterization scheme to the WRF modeling system. This scheme was developed as part of my research, which was published in the Journal of Advances in Modeling Earth Systems (JAMES) in 2023 (Zhao et al. 2023).
Over the past few years, this scheme has been extensively evaluated in multiple independent studies (Liu et al. 2024; Yang et al. 2025) and has demonstrated promising results, particularly in improving the representation of cloud macrophysical properties and associated precipitation processes over the Tibetan Plateau.
To facilitate your initial assessment, I have prepared a comprehensive submission package that includes:
A dedicated technical summary report (extracted from Zhao et al. 2023) that details the theoretical background, mathematical formulations, and the complete validation results against observations and existing WRF schemes (see Sections 2 & 3 for the core derivations and benchmark figures).
The fully commented source code, which has been restructured to fit WRF’s modular architecture, including the necessary Registry entries and Namelist parameters. A preliminary README file is also attached for a quick setup.
I understand that the standard pathway for introducing a new physics option often begins with an external package (via user_physics) or requires coordination with the specific physics section lead. Could you please point me to the appropriate coordinator or technical committee member to initiate this review? I am more than happy to refine the code to strictly adhere to WRF’s coding standards and I/O practices.
Thank you for your time and for your outstanding efforts in maintaining and advancing the WRF community model. I look forward to your guidance.
Sincerely,
Dr. Dingchi Zhao
zhaodc@nudt.edu.cn
Liu, J., and Coauthors, 2024: Cloud Radiative Feedback to the Large-Scale Atmospheric Circulation Greatly Reduces Monsoon-Season Wet Bias Over the Tibetan Plateau in Climate Modeling. Geophysical Research Letters, 51, e2024GL109180, https://doi.org/10.1029/2024GL109180.
Yang, K., and Coauthors, 2025: A physically-refined regional climate model for the Tibetan Plateau. Sci. Bull., Redirecting.
Zhao, D., and Coauthors, 2023: Alleviated WRF Summer Wet Bias Over the Tibetan Plateau Using a New Cloud Macrophysics Scheme. Journal of Advances in Modeling Earth Systems, 15, e2023MS003616, https://doi.org/10.1029/2023MS003616.
I am writing to formally express my interest in contributing a novel cloud macrophysics parameterization scheme to the WRF modeling system. This scheme was developed as part of my research, which was published in the Journal of Advances in Modeling Earth Systems (JAMES) in 2023 (Zhao et al. 2023).
Over the past few years, this scheme has been extensively evaluated in multiple independent studies (Liu et al. 2024; Yang et al. 2025) and has demonstrated promising results, particularly in improving the representation of cloud macrophysical properties and associated precipitation processes over the Tibetan Plateau.
To facilitate your initial assessment, I have prepared a comprehensive submission package that includes:
A dedicated technical summary report (extracted from Zhao et al. 2023) that details the theoretical background, mathematical formulations, and the complete validation results against observations and existing WRF schemes (see Sections 2 & 3 for the core derivations and benchmark figures).
The fully commented source code, which has been restructured to fit WRF’s modular architecture, including the necessary Registry entries and Namelist parameters. A preliminary README file is also attached for a quick setup.
I understand that the standard pathway for introducing a new physics option often begins with an external package (via user_physics) or requires coordination with the specific physics section lead. Could you please point me to the appropriate coordinator or technical committee member to initiate this review? I am more than happy to refine the code to strictly adhere to WRF’s coding standards and I/O practices.
Thank you for your time and for your outstanding efforts in maintaining and advancing the WRF community model. I look forward to your guidance.
Sincerely,
Dr. Dingchi Zhao
zhaodc@nudt.edu.cn
Liu, J., and Coauthors, 2024: Cloud Radiative Feedback to the Large-Scale Atmospheric Circulation Greatly Reduces Monsoon-Season Wet Bias Over the Tibetan Plateau in Climate Modeling. Geophysical Research Letters, 51, e2024GL109180, https://doi.org/10.1029/2024GL109180.
Yang, K., and Coauthors, 2025: A physically-refined regional climate model for the Tibetan Plateau. Sci. Bull., Redirecting.
Zhao, D., and Coauthors, 2023: Alleviated WRF Summer Wet Bias Over the Tibetan Plateau Using a New Cloud Macrophysics Scheme. Journal of Advances in Modeling Earth Systems, 15, e2023MS003616, https://doi.org/10.1029/2023MS003616.