Characteristics of Global Light Rain System From GPM/DPR Measurements

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2025-04-22 DOI:10.1029/2024JD042434
Seoeun Choi, Jihoon Ryu, Sang-Moo Lee, Byung-Ju Sohn
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Abstract

Understanding the microphysical and macrophysical characteristics of global light rain (0.2–2.5 mm/hr) is important for modeling the hydrological cycle and enhancing the cloud-related parameterization in the numerical weather prediction (NWP) model. To understand the characteristics of light rain systems, this study classified global light rain events using the Global Precipitation Measurement Dual-frequency Precipitation Radar measurements over the 8–years period. As a result, global light rain systems were identified into four types based on microphysical (mass-weighted mean diameter (Dm) and normalized intercept parameter (logNw)) and macrophysical (cloud-echo-top height (CETH)) parameters. The four classified types are (a) Type 1: light rain dominant in tropics and mid-latitude, (b) Type 2: light rain linked to atmospheric deep convection, (c) Type 3: light rain from humid oceanic inflow blocked by topography, and (d) Type 4: light rain associated with subtropical high-pressure systems. Type 2 shows the largest Dm and the smallest logNw, while Type 4 exhibited opposite patterns. Type 3 has the highest CETH and vertically stretching radar reflectivity profiles. Type 1 showed similar distributions of Dm and logNw with Type 3 and radar reflectivity with Type 4 but different distributions of hydrometeor phase with Types 3 and 4. To clarify the characteristics of Type 1, a detailed analysis was conducted, showing larger Dm and logNw, higher radar reflectivity, and stronger seasonality in tropical regions compared to mid-latitudes. This study provides valuable insights into geospatial/statistical characteristics of global light rain, which is expected to enhance the accuracy of cloud parameterization in the NWP model.

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基于GPM/DPR测量的全球小雨系统特征
了解全球小雨(0.2-2.5 mm/hr)的微观物理和宏观物理特征对于模拟水文循环和增强数值天气预报(NWP)模式中的云相关参数化具有重要意义。为了了解小雨系统的特征,本研究利用全球降水测量双频降水雷达8年的测量数据对全球小雨事件进行了分类。基于微物理参数(质量加权平均直径(Dm)和归一化截距参数(logNw))和宏观物理参数(云回波顶高(CETH)),将全球小雨系统划分为4种类型。四种类型是(a)类型1:小雨主要发生在热带和中纬度地区,(b)类型2:与大气深层对流有关的小雨,(c)类型3:由地形阻挡的湿润海洋流入引起的小雨,以及(d)类型4:与副热带高压系统有关的小雨。2型Dm最大,logw最小,4型相反。3型具有最高的CETH和垂直拉伸雷达反射率剖面。1型Dm和logNw的分布与3型相似,雷达反射率与4型相似,但水流星相的分布与3型和4型不同。为了明确第1型的特征,进行了详细的分析,表明热带地区的Dm和logw比中纬度地区大,雷达反射率更高,季节性更强。该研究为全球小雨的地理空间/统计特征提供了有价值的见解,有望提高NWP模式中云参数化的准确性。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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