A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay
Precipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion. A time difference of ZTD arrival (TDOZA) model was proposed to monitor the movement...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/13/3247 |
| _version_ | 1827734605149503488 |
|---|---|
| author | Dajun Lian Qimin He Li Li Kefei Zhang Erjiang Fu Guangyan Li Rui Wang Biqing Gao Kangming Song |
| author_facet | Dajun Lian Qimin He Li Li Kefei Zhang Erjiang Fu Guangyan Li Rui Wang Biqing Gao Kangming Song |
| author_sort | Dajun Lian |
| collection | DOAJ |
| description | Precipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion. A time difference of ZTD arrival (TDOZA) model was proposed to monitor the movement of tropical cyclones, and the fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ERA5)-derived ZTD (ERA5-ZTD) was used to estimate the movement of tropical cyclones based on the model. The global navigation satellite system-derived ZTD and radiosonde data-derived PWV (RS-PWV) were used to test the accuracy of the ERA5-ZTD and analyze the correlation between ZTD and PWV, respectively. The statistics showed that the mean Bias, RMS and STD of the ERA5-ZTD were 6.4 mm, 17.1 mm and 16.5 mm, respectively, and the mean correlation coefficient of the ERA5-ZTD and RS-PWV was 0.951, which indicates that the ZTD can be used to predict weather events instead of PWV. Then, spatiao-temporal characteristics of ZTD during the four tropical cyclone (i.e., Merbok, ROKE, Neast and Hato) periods in 2017 were analyzed, and the result showed that the moving directions of ZTD and the tropical cyclones were consistent. Thus, the ZTD time series over the ERA5 grids around the tropical cyclones’ paths were used to estimate the velocity of the tropical cyclones based on the TDOZA model, when the tropical cyclones are approaching or leaving. Compared with the result from the China Meteorological Administration, the mean absolute and relative deviations of the TDOZA model-derived velocity were 2.55 km/h and 10.0%, respectively. These results suggest that ZTD can be used as a new supplementary meteorological parameter for monitoring tropical cyclone events. |
| first_indexed | 2024-03-11T01:29:57Z |
| format | Article |
| id | doaj.art-03b948a8cd60435dade2318c6115c37c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T01:29:57Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-03b948a8cd60435dade2318c6115c37c2023-11-18T17:23:29ZengMDPI AGRemote Sensing2072-42922023-06-011513324710.3390/rs15133247A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric DelayDajun Lian0Qimin He1Li Li2Kefei Zhang3Erjiang Fu4Guangyan Li5Rui Wang6Biqing Gao7Kangming Song8School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaBei-Stars Geospatial Information Innovation Institute, No. 1 Xinbei Road Pukou District, Nanjing 211899, ChinaBei-Stars Geospatial Information Innovation Institute, No. 1 Xinbei Road Pukou District, Nanjing 211899, ChinaSchool of Resources and Architectural Engineering, Gannan University of Science and Technology, Ganzhou 341001, ChinaSuzhou Industrial Park, Surveying and Mapping Geographic Information Co., Ltd., Suzhou 215027, ChinaGuangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, ChinaPrecipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion. A time difference of ZTD arrival (TDOZA) model was proposed to monitor the movement of tropical cyclones, and the fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ERA5)-derived ZTD (ERA5-ZTD) was used to estimate the movement of tropical cyclones based on the model. The global navigation satellite system-derived ZTD and radiosonde data-derived PWV (RS-PWV) were used to test the accuracy of the ERA5-ZTD and analyze the correlation between ZTD and PWV, respectively. The statistics showed that the mean Bias, RMS and STD of the ERA5-ZTD were 6.4 mm, 17.1 mm and 16.5 mm, respectively, and the mean correlation coefficient of the ERA5-ZTD and RS-PWV was 0.951, which indicates that the ZTD can be used to predict weather events instead of PWV. Then, spatiao-temporal characteristics of ZTD during the four tropical cyclone (i.e., Merbok, ROKE, Neast and Hato) periods in 2017 were analyzed, and the result showed that the moving directions of ZTD and the tropical cyclones were consistent. Thus, the ZTD time series over the ERA5 grids around the tropical cyclones’ paths were used to estimate the velocity of the tropical cyclones based on the TDOZA model, when the tropical cyclones are approaching or leaving. Compared with the result from the China Meteorological Administration, the mean absolute and relative deviations of the TDOZA model-derived velocity were 2.55 km/h and 10.0%, respectively. These results suggest that ZTD can be used as a new supplementary meteorological parameter for monitoring tropical cyclone events.https://www.mdpi.com/2072-4292/15/13/3247zenith tropospheric delaytropical cycloneERA5GNSS |
| spellingShingle | Dajun Lian Qimin He Li Li Kefei Zhang Erjiang Fu Guangyan Li Rui Wang Biqing Gao Kangming Song A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay Remote Sensing zenith tropospheric delay tropical cyclone ERA5 GNSS |
| title | A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay |
| title_full | A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay |
| title_fullStr | A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay |
| title_full_unstemmed | A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay |
| title_short | A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay |
| title_sort | novel method for monitoring tropical cyclones movement using gnss zenith tropospheric delay |
| topic | zenith tropospheric delay tropical cyclone ERA5 GNSS |
| url | https://www.mdpi.com/2072-4292/15/13/3247 |
| work_keys_str_mv | AT dajunlian anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT qiminhe anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT lili anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT kefeizhang anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT erjiangfu anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT guangyanli anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT ruiwang anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT biqinggao anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT kangmingsong anovelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT dajunlian novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT qiminhe novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT lili novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT kefeizhang novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT erjiangfu novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT guangyanli novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT ruiwang novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT biqinggao novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay AT kangmingsong novelmethodformonitoringtropicalcyclonesmovementusinggnsszenithtroposphericdelay |