Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-771-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-771-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Development and technical paper
 | 
27 Jan 2022
Development and technical paper |  | 27 Jan 2022

Representation of the autoconversion from cloud to rain using a weighted ensemble approach: a case study using WRF v4.1.3

Jinfang Yin, Xudong Liang, Hong Wang, and Haile Xue

Data sets

Representation of the Autoconversion from Cloud to Rain Jinfang Yin, Xudong Liang, Hong Wang, and Haile Xue https://doi.org/10.5281/zenodo.5052639

NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 National Centers for Environmental Prediction, National Weather Service, NOAA, and U.S. Department of Commerce https://doi.org/10.5065/D65Q4T4Z

Model code and software

Representation of the Autoconversion from Cloud to Rain Jinfang Yin, Xudong Liang, Hong Wang, and Haile Xue https://doi.org/10.5281/zenodo.5052639

A Description of the Advanced Research WRF Version 4 (https://www2.mmm.ucar.edu/wrf/users/) W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang https://doi.org/10.5065/1dfh-6p97

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Short summary
An ensemble (EN) approach was designed to improve autoconversion (ATC) from cloud water to rainwater in cloud microphysics schemes. One unique feature of the EN approach is that the ATC rate is a mean value based on the calculations from several widely used ATC schemes. The ensemble approach proposed herein appears to help improve the representation of cloud and precipitation processes in weather and climate models.
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