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.
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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.
尽管播撒-供给(seeder-feeder)机制对高效地形降雪至关重要,但双层云系之间往往存在夹层干层。目前学界对该夹层干层的发生规律及其对降雪过程的影响仍缺乏深入认知,在半干旱区域尤为突出。本研究针对中国西北半干旱区六盘山地区的一次春季降雪过程,采用耦合P3与Thompson云微物理方案的WRF模式开展数值模拟,并辅以包含微雨雷达(Micro Rain Radar, MRR)在内的地面观测数据,旨在探究中纬度半干旱区夹层干层对播撒-供给机制的影响。本数据集包含2023年中国六盘山地区的微雨雷达(Micro Rain Radar, MRR)观测数据与WRF数值模拟数据。文件0401-corrected-processed、0402-corrected-processed、0403-corrected-processed及0404-corrected-processed分别对应本研究使用的4月1日至4月4日的MRR观测数据。WRF输出模拟文件为以"wrfout"为基础命名的压缩包,"wrfout"前缀数字代表模拟方案编号,后续字符则分别对应模拟区域与协调世界时(UTC)时间。例如,8wrfout_d03_2023-04-01_00_00_00.tar即为方案8、模拟区域d03在2023年4月1日00:00(UTC)的模拟文件。中国逐小时地面观测(天青)数据集包含六盘山站、大湾站(苏家堡村)及隆德站的地面观测数据,可用于计算地面降雪累积量与降雪强度。本数据集关联一篇已投稿至JGR-A期刊的研究论文。



