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  Monitoring urban heat island intensity based on GNSS tomography technique

Xia, P., Peng, W., Yuan, P., Ye, S. (2024): Monitoring urban heat island intensity based on GNSS tomography technique. - Journal of Geodesy, 98, 1.
https://doi.org/10.1007/s00190-023-01804-3

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Xia, Pengfei1, Author
Peng, Wei1, Author
Yuan, Peng2, Author              
Ye, Shirong1, Author
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1External Organizations, ou_persistent22              
21.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146025              

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 Abstract: Monitoring urban heat island (UHI) effect is critical because it causes health problems and excessive energy consumption more energy when cooling buildings. In this study, we propose an approach for UHI monitoring by fusing data from ground-based global navigation satellite system (GNSS), space-based GNSS radio occultation (RO), and radiosonde. The idea of the approach is as follows: First, the first and second grid tops are defined based on historical RO and radiosonde observations. Next, the wet refractivities between the first and second grid tops are fitted to higher-order spherical harmonics and they are used as the inputs of GNSS tomography. Then, the temperature and water vapor partial pressure are estimated by using best search method based on the tomography-derived wet refractivity. In the end, the UHI intensity is evaluated by calculating the temperature difference between the urban regions and nearby rural regions. Feasibility of the UHI intensity monitoring approach was evaluated with GNSS RO and radiosonde data in 2010–2019, as well as ground-based GNSS data in 2020 in Hong Kong, China, by taking synoptic temperature data as reference. The result shows that the proposed approach achieved an accuracy of 1.2 K at a 95% confidence level.

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 Dates: 20232024
 Publication Status: Finally published
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 Identifiers: DOI: 10.1007/s00190-023-01804-3
OATYPE: Hybrid - DEAL Springer Nature
GFZPOF: p4 T1 Atmosphere
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Title: Journal of Geodesy
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 98 Sequence Number: 1 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals265
Publisher: Springer Nature