Perspectives on Convective Rainfall From Passive and Active Microwave Sensors

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Yulan Hong, Veljko Petkovic
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Abstract

Understanding the type of rainfall is crucial for hydrological modeling, large-scale circulation simulations, and severe weather alerts. The present study offers an insight into the consistency of convective rain observations from spaceborne active (KuPR)/passive (GPM Microwave Imager [GMI]) microwave sensors and ground-based radar network (GV-MRMS). Findings over CONUS suggest a strong agreement in convective rain detection between the three products for the deep convective regime—the storms exceeding 10 km in height and characterized by low brightness temperature at ice-sensing channels. In contrast, a poor agreement occurs for shallow-broken rain systems with storm tops below 5 km. Compared to the GV-MRMS product, GMI and KuPR tend to classify shallow-broken rain as convective. Globally, at the midlatitudes, GMI recognizes less than 20% of KuPR-detected convective rain, while showing a better agreement in the tropical regions. Linear trends of GMI and KuPR convective rain, calculated for the period 2014–2023, reveal agreement in cold (ice phase present in the hydrometer column) and disagreement in warm (no ice phase present) rain cases, with −0.022 (GMI) and −0.019 (KuPR) mm day−1 decade−1 for cold and −0.010 (KuPR) and 0.002 (GMI) mm day−1 decade−1 for warm rain, respectively. Trends observed over the ITCZ in the mid and east Pacific Ocean oppose those over the west Pacific and tropical Atlantic Ocean. All variations are successfully linked to the environmental conditions, known to reflect atmospheric convective preference and offer a valuable proxy to the users.

Abstract Image

从被动和主动微波传感器看对流降雨
了解降雨类型对于水文建模、大规模环流模拟和恶劣天气警报至关重要。本研究对星载主动(KuPR)/被动(GPM微波成像仪[GMI])微波传感器和地面雷达网络(GV-MRMS)对流雨观测的一致性提供了深入的了解。CONUS的研究结果表明,三种产品对深度对流系统(高度超过10公里的风暴,在冰感通道上具有低亮度温度的特征)的对流雨探测非常一致。相比之下,对于风暴顶部低于5公里的浅破碎雨系统,这种一致性很差。与GV-MRMS产品相比,GMI和KuPR倾向于将浅破碎雨归类为对流。在全球范围内,在中纬度地区,GMI识别不到20%的kupr探测到的对流降雨,而在热带地区显示出更好的一致性。2014-2023年期间GMI和KuPR对流降雨的线性趋势表明,在寒冷(比重计柱中存在冰相)和温暖(不存在冰相)降雨情况下,两者的线性趋势一致,寒冷和温暖降雨分别为- 0.022 (GMI)和- 0.019 (KuPR) mm day - 1 decade - 1,暖雨分别为- 0.010 (KuPR)和0.002 (GMI) mm day - 1 decade - 1。在中太平洋和东太平洋过渡带观测到的趋势与在西太平洋和热带大西洋观测到的趋势相反。所有的变化都成功地与环境条件联系起来,已知反映大气对流偏好,并为用户提供有价值的代理。
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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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