Preprints
https://doi.org/10.5194/egusphere-2025-4362
https://doi.org/10.5194/egusphere-2025-4362
17 Sep 2025
 | 17 Sep 2025
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

On-Orbit Calibration and Performance Validation of the Yunyao Polarimetric Radio Occultation System

Liang Kan, Fenghui Li, Naifeng Fu, Yan Cheng, Sai Xia, and Bobo Xu

Abstract. Polarimetric radio occultation (PRO) extends the capability of standard radio occultation (RO) by providing not only the conventional thermodynamic profiles but also information on clouds and precipitation. In early 2025, Yunyao Aerospace Technology Co., Ltd. successfully launched the first Chinese low-Earth-orbit satellite equipped with a PRO payload, generating over 500 measurements per day. Based on this mission, we established an end-to-end PRO data processing chain tailored for operational applications and analysed approximately 53,000 events collected between March and June 2025, in conjunction with the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM) precipitation product (IMERG). The results show that the differential phase (ΔΦ) remains close to zero under non-precipitating conditions but exhibits distinct peaks at 3–5 km altitude when traversing precipitation layers, with amplitudes strongly correlated with path-averaged rainfall rates. Thresholds of 1, 2, and 5 mm h⁻¹ are proposed as indicators of precipitation sensitivity, detection confidence, and heavy-rain events, respectively, and a ΔΦ-to-rainfall intensity mapping table is derived to quantify this relationship. Yunyao PRO data preserve the thermodynamic retrieval quality of conventional RO while enabling effective precipitation detection, thereby providing important data support for the theoretical, technical and data research on the transition of meteorological observations from "temperature, humidity and pressure" observations to new types of observations such as precipitation.

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Liang Kan, Fenghui Li, Naifeng Fu, Yan Cheng, Sai Xia, and Bobo Xu

Status: open (until 23 Oct 2025)

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Liang Kan, Fenghui Li, Naifeng Fu, Yan Cheng, Sai Xia, and Bobo Xu
Liang Kan, Fenghui Li, Naifeng Fu, Yan Cheng, Sai Xia, and Bobo Xu
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Short summary
We built and launched a satellite sensor that can receive signals from navigation satellites based on the changes in their propagation in the atmosphere. We calibrated the data and compared it with precipitation radar and others. The sensor is stable and accurate. It can detect humidity, clouds and rain, even during storms. These results mean better forecasts, earlier storm and flood warnings, and better options for people and communities.
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