WRF simulation results of a snowfall event in April 2023 in the Liupan Mountain region of Ningxia, China, along with ground-based micro rain radar data.

Although the seeder-feeder mechanism plays a key role in efficient orographic snowfall, a dry layer often exists between the two cloud layers. The occurrence patterns of this dry layer and its impact on the snowfall process remain poorly understood, particularly in semi-arid regions. This study analyzes a spring snowfall event over the Liupan Mountain region in the semi-arid area of Northwest China using the WRF model coupled with the P3 and Thompson cloud microphysics schemes, supplemented by ground-based observations including micro rain radar. The aim is to investigate the influence of the intervening dry layer on the seeder-feeder mechanism in mid-latitude semi-arid regions.

This dataset contains Micro Rain Radar (MRR) data and WRF simulation data from the Liupan Mountain area of China in 2023. The files 0401-corrected-processed, 0402-corrected-processed, 0403-corrected-processed, and 0404-corrected-processed correspond to the MRR data for April 1 to 4, respectively, used in this study. The WRF output simulation files are compressed packages named with "wrfout" as the base name. The number preceding "wrfout" indicates the simulation scheme, and the following numbers represent the domain and time (UTC). For example, 8wrfout_d03_2023-04-01_00_00_00.tar is the simulation file for Scheme 8, domain d03, at 00:00 UTC on April 1, 2023. The China hourly surface data (Tianqing) table contains observational data from the surface stations (Liupan Mountain Station, Dawan Station (Subao Village), and Longde Station), and is used to calculate surface snowfall accumulation and snowfall intensity.

Data associated with a manuscript submitted to JGR-A journal.