A method for estimating rain rate from polarimetric GNSS measurements: Preliminary analysis

Yan, Wei; An, Hao; Yang, Fanlin; Han, Ying; Wang, Xin; Ai, Weihua

doi:10.1016/j.atmosres.2014.05.016

Cited by 5 publications

(3 citation statements)

References 38 publications

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“…This study proves that precipitable water vapor data from ground-based GNSS receivers can be useful in weather analysis and modelling applications (Pacione et al, 2001;De Pondeca et al, 2001;Nakamura et al, 2004;Seko et al, 2004;Zhang et al, 2007) taking into account that GNSS ground stations are in abundance and the system is not very sensitive to rain for intensities below 40 mm/h (Solheim et al, 1999). This preliminary results show that GNSS data could help in analysing some features of a rain event but to tune a "quantitative" criteria for the definition of a precipitation event other information are necessary, such as cloud profile, cloud liquid content, radar/lidar measurements and so on (Brenot et al, 2013;Champollion et al, 2004;Michaelides et al, 2009;Yan et al, 2014). In fact the IPWV average increase before the precipitation is variable and also depends on climatological and geographical conditions, with some events showing even a decreasing trend.…”

Section: Accepted Manuscriptmentioning

confidence: 86%

The usefulness of the Global Navigation Satellite Systems (GNSS) in the analysis of precipitation events

Bonafoni

Biondi

2016

Atmospheric Research

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Section: Accepted Manuscriptmentioning

confidence: 86%

The usefulness of the Global Navigation Satellite Systems (GNSS) in the analysis of precipitation events

Bonafoni

Biondi

2016

Atmospheric Research

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“…This paper continues to study the feasibility of rain monitoring from polarimetric GNSS signals by performing a ground-based experiment. Firstly, based on previous theoretical research [12,25], the experiment was designed, including experimental equipment, conditions, site, and time. Especially, the key instrument, a conical horn dual-polarized GNSS antenna, was developed and used for the first time.…”

Section: Discussionmentioning

confidence: 99%

Rain Monitoring with Polarimetric GNSS Signals: Ground-Based Experimental Research

Yan

Bian

et al. 2019

Remote Sensing

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In recent years, there has been a preliminary research on monitoring rainfall information based on polarimetric Global Navigation Satellite System (GNSS) signals, which is a quite novel concept. After previous theoretical research on monitoring rain based on polarimetric phase shift of GNSS signals, the paper aims to detect rain using polarimetric GNSS signals from a ground-based experiment. Firstly, a conical horn antenna specially designed for receiving dual-polarized (H, horizontal, and V, vertical) GNSS signals was developed, and an experimental system for polarimetric GNSS rain detection was built. Then, taking Global Positioning System (GPS) satellites as signal source, a ground-based experiment was carried out at a mountain in Nanjing, where heavy rain tends to occur frequently in rainy season. Additionally, a data processing algorithm mainly following Padullés et al. (2016) to solve the problems of quality control, unlocking, hardware effect, phase ambiguity, multipath effect was applied independently to this ground-based data from the polarimetric GNSS rain detection system. Also, the multi-source data from nearby weather radar and weather stations was used for verification. Results from 14 GPS satellites show that the obtained phase shift is zero in all no-rain days while it is not zero during rainy days, which is in accordance with the actual situation. Compared with weather radar and rain gauges’ data, the results verify that the phase shift is caused by rain. Besides, when individual cases are examined, many show that their tendencies of accumulated phase shift are quite similar to that of a weather station’s rainfall data, even some correlation coefficients are up to 0.99. These demonstrate the reliability of our experimental system and the feasibility of the data processing algorithm. This study will provide technical support for future spaceborne experiment, which has promising applications in global rain monitoring.

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“…T-matrix modeling of scattering properties of mineral aerosols in the terrestrial atmosphere and soil particles[11,12,17,42,63,65,69,96,99,105,117,140,156,180,190,214]. ,18,27,29,28,32,39,44,45,57,66,68,71,74,77,83,84,89,92,94,106,112,113,114,118,119,120,125,134,137,138,147,159,178,179,189,197,202,207,208,209].2.31. T-matrix modeling of scattering properties of stra...…”

mentioning

confidence: 99%

Comprehensive thematic T-matrix reference database: A 2014–2015 update

Mishchenko

Zakharova²,

Khlebtsov

et al. 2016

Journal of Quantitative Spectroscopy and Radiative Transfer

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The T-matrix method is one of the most versatile and efficient direct computer solvers of the macroscopic Maxwell equations and is widely used for the computation of electromagnetic scattering by single and composite particles, discrete random media, and particles in the vicinity of an interface separating two half-spaces with different refractive indices. This paper is the seventh update to the comprehensive thematic database of peerreviewed T-matrix publications initiated by us in 2004 and includes relevant publications that have appeared since 2013. It also lists a number of earlier publications overlooked previously.

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A method for estimating rain rate from polarimetric GNSS measurements: Preliminary analysis

Cited by 5 publications

References 38 publications

The usefulness of the Global Navigation Satellite Systems (GNSS) in the analysis of precipitation events

The usefulness of the Global Navigation Satellite Systems (GNSS) in the analysis of precipitation events

Rain Monitoring with Polarimetric GNSS Signals: Ground-Based Experimental Research

Comprehensive thematic T-matrix reference database: A 2014–2015 update

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