TY - JOUR
T1 - Temporal and Spatial Impact of Precipitable Water Vapor on GPS Relative Positioning During the Tropical Cyclone Hato (2017) in Hong Kong and Taiwan
AU - Yu, Shiwei
AU - Liu, Zhizhao
N1 - Funding Information:
The grant support from the Key Program of the National Natural Science Foundation of China (project No.: 41730109) is acknowledged. The grant supports from the Hong Kong Research Grants Council (RGC) projects (B-Q61?L PolyU 152222/17E) are highly appreciated. The support from the project (No. 1-BBWJ) in the Emerging Frontier Area (EFA) Scheme of Research Institute for Sustainable Urban Development (RISUD) of The Hong Kong Polytechnic University is also acknowledged. All data are publicly available and free of charge. The Lands Department of the Government of Hong Kong Special Administrative Region (https://www.geodetic.gov.hk/en/rinex/downv.aspx) and the Institute of Earth Sciences (IES) of the Academia Sinica of Taiwan (http://gdbweb.earth.sinica.edu.tw/gps/index.php?pg=1) are acknowledged for providing the GPS data. The International GNSS Service (IGS) is acknowledged for providing the GPS satellites? daily precise orbit and clock products from the ftp address ftp://cddis.gsfc.nasa.gov/gps/products/during the period of August 16?26, 2017. The National Oceanic and Atmospheric Administration (NOAA) is also acknowledged for providing the International Best Track Archive for Climate Stewardship (IBTrACS) data on the tropical cyclones (https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/csv/). In addition, the European Center for Medium-Range Weather Forecasts (ECMWF) and Copernicus Climate Change Service (C3S) (https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form) are also acknowledged for providing the fifth generation data set of ECMWF atmospheric reanalysis of the global climate (ERA5).
Funding Information:
The grant support from the Key Program of the National Natural Science Foundation of China (project No.: 41730109) is acknowledged. The grant supports from the Hong Kong Research Grants Council (RGC) projects (B‐Q61 L PolyU 152222/17E) are highly appreciated. The support from the project (No. 1‐BBWJ) in the Emerging Frontier Area (EFA) Scheme of Research Institute for Sustainable Urban Development (RISUD) of The Hong Kong Polytechnic University is also acknowledged. All data are publicly available and free of charge. The Lands Department of the Government of Hong Kong Special Administrative Region ( https://www.geodetic.gov.hk/en/rinex/downv.aspx ) and the Institute of Earth Sciences (IES) of the Academia Sinica of Taiwan ( http://gdbweb.earth.sinica.edu.tw/gps/index.php?pg=1 ) are acknowledged for providing the GPS data. The International GNSS Service (IGS) is acknowledged for providing the GPS satellites’ daily precise orbit and clock products from the ftp address ftp://cddis.gsfc.nasa.gov/gps/products/ during the period of August 16–26, 2017. The National Oceanic and Atmospheric Administration (NOAA) is also acknowledged for providing the International Best Track Archive for Climate Stewardship (IBTrACS) data on the tropical cyclones ( https://www.ncei.noaa.gov/data/international‐best‐track‐archive‐for‐climate‐stewardship‐ibtracs/v04r00/access/csv/ ). In addition, the European Center for Medium‐Range Weather Forecasts (ECMWF) and Copernicus Climate Change Service (C3S) ( https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis‐era5‐single‐levels?tab=form ) are also acknowledged for providing the fifth generation data set of ECMWF atmospheric reanalysis of the global climate (ERA5).
Publisher Copyright:
© 2021. The Authors.
PY - 2021/4
Y1 - 2021/4
N2 - The evident disturbance of global positioning system (GPS) positioning results responding to the 2017 tropical cyclone (TC) Hato is observed in both Hong Kong and Taiwan regions. The GPS solutions of 10 baselines, i.e., five from Hong Kong and five from Taiwan, with baseline lengths ranging from 4.8 to 46.6 km, are analyzed during the TC period from August 16 to 26, 2017. The precipitable water vapor (PWV) variation in temporal and spatial domains is also investigated in terms of 2–5 h scale-averaged wavelet power and normalized magnitude of spatial gradient. The results indicate that there is a close correlation between positioning disturbance and the spatiotemporal variation of PWV during the TC period. The daily Spearman’s correlation coefficient on TC-impacted day is 0.65 for Hong Kong baselines, ∼1.97 times as large as the mean value 0.33 of the non-TC-impacted period. Furthermore, the positioning performance started to degrade when the normalized magnitude of the spatial gradient of PWV experienced a rapid increase. The degradation lasted for ∼7 h, and the degrading trend for Hong Kong baselines is 9.86 mm/h on average. For Taiwan baselines, the degradation lasted for ∼31 h, and the degrading trend is 1.20 mm/h on average. In addition, the GPS three-dimensional positioning average accuracy on the TC-impacted day, July 22, 2017, degraded by 255% over the 10 baselines with respect to that of the other non-TC-impacted days.
AB - The evident disturbance of global positioning system (GPS) positioning results responding to the 2017 tropical cyclone (TC) Hato is observed in both Hong Kong and Taiwan regions. The GPS solutions of 10 baselines, i.e., five from Hong Kong and five from Taiwan, with baseline lengths ranging from 4.8 to 46.6 km, are analyzed during the TC period from August 16 to 26, 2017. The precipitable water vapor (PWV) variation in temporal and spatial domains is also investigated in terms of 2–5 h scale-averaged wavelet power and normalized magnitude of spatial gradient. The results indicate that there is a close correlation between positioning disturbance and the spatiotemporal variation of PWV during the TC period. The daily Spearman’s correlation coefficient on TC-impacted day is 0.65 for Hong Kong baselines, ∼1.97 times as large as the mean value 0.33 of the non-TC-impacted period. Furthermore, the positioning performance started to degrade when the normalized magnitude of the spatial gradient of PWV experienced a rapid increase. The degradation lasted for ∼7 h, and the degrading trend for Hong Kong baselines is 9.86 mm/h on average. For Taiwan baselines, the degradation lasted for ∼31 h, and the degrading trend is 1.20 mm/h on average. In addition, the GPS three-dimensional positioning average accuracy on the TC-impacted day, July 22, 2017, degraded by 255% over the 10 baselines with respect to that of the other non-TC-impacted days.
KW - GPS relative positioning
KW - precipitable water vapor (PWV)
KW - PWV spatiotemporal variation
KW - tropical cyclone (TC)
UR - http://www.scopus.com/inward/record.url?scp=85104942478&partnerID=8YFLogxK
U2 - 10.1029/2020EA001371
DO - 10.1029/2020EA001371
M3 - Journal article
AN - SCOPUS:85104942478
SN - 2333-5084
VL - 8
JO - Earth and Space Science
JF - Earth and Space Science
IS - 4
M1 - e2020EA001371
ER -