Synergy between Radar and Radiometer Observations of Precipitation from Space

被引：0

作者：

Chandrasekar, V. ^{[1
]}

Reising, Steven C. ^{[1
]}

Radhakrishnan, Chandrasekar ^{[1
]}

机构：

[1] Colorado State Univ, Elect & Comp Engn, Ft Collins, CO 80523 USA

来源：

2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP | 2023年

关键词：

GPM-GMI; GPM-DPR; TEMPEST-D; CubeSat; microwave radiometry; radar; instrument calibration;

D O I：

10.23919/EuCAP57121.2023.10133341

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper is a tribute to Prof Frank Marzano's legacy. The objective of this study is to cross-validate radar (active sensor) and radiometer (passive sensor) satellite observations over tropical cyclones, typhoons and hurricanes. To accomplish this, Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) observations are compared with GPM Microwave Imager (GMI) and Temporal Experiment for Storms and Tropical Systems Demonstration (TEMPEST-D) CubeSat observations over precipitating systems. The purpose of this paper is twofold: first, to demonstrate a methodology to show consistency between DPR and GMI, and second, to apply this method to demonstrate consistency between DPR and TEMPEST-D CubeSat observations. This paper also develops a Pearson correlation coefficient (r) metric between parameters derived from radar and radiometer observations. The corresponding correlation between DPR and GMI, as well as between TEMPEST-D and DPR, are 0.90 and 0.85, respectively.

引用

页数：4

共 7 条

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[7]

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