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LI LI

Prof. Dr. LI LI

Suzhou University of Science and Technology

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Li L., Li Y., He Q., Wang X. Weighted Mean Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China [J]. Remote Sensing, 2022, 14(8): 1909. Li H., Wang X., Choy S., Jiang C., Wu S., Zhang J., Qiu C., Zhou K., Li L., Fu E., Zhang K. Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV [J]. Atmospheric Research, 2022, 265: 105912. Li H., Wang X., Choy S., Wu S., Jiang C., Zhang J., Qiu C., Li L., Zhang K. A New Cumulative Anomaly-based Model for the Detection of Heavy Precipitation Using GNSS-derived Tropospheric Products [J]. IEEE Transactions on Geoscience and Remote Sensing, 2021: 1-1. Li H., Wang X., Wu S., Zhang K., Fu E., Xu Y., Qiu C., Zhang J.,Li L. A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting [J]. Remote Sensing, 2021, 13(7): 1390. Li L., Yuan Z., Luo P., Shen J., Long S., Zhang L., Jiang Z., A System Developed for Monitoring and Analyzing Dynamic Changes of GNSS Precipitable Water Vapor and Its Application, in China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I, J. Sun, et al., Editors. 2015, Springer Berlin Heidelberg. p. 95-105.

Research Keywords & Expertise

GNSS meteorology
GNSS precise positioni...
Rainstorm disaster mon...

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GNSS meteorology

Short Biography

Li L., Li Y., He Q., Wang X. Weighted Mean Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China [J]. Remote Sensing, 2022, 14(8): 1909. Li H., Wang X., Choy S., Jiang C., Wu S., Zhang J., Qiu C., Zhou K., Li L., Fu E., Zhang K. Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV [J]. Atmospheric Research, 2022, 265: 105912. Li H., Wang X., Choy S., Wu S., Jiang C., Zhang J., Qiu C., Li L., Zhang K. A New Cumulative Anomaly-based Model for the Detection of Heavy Precipitation Using GNSS-derived Tropospheric Products [J]. IEEE Transactions on Geoscience and Remote Sensing, 2021: 1-1. Li H., Wang X., Wu S., Zhang K., Fu E., Xu Y., Qiu C., Zhang J.,Li L. A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting [J]. Remote Sensing, 2021, 13(7): 1390. Li L., Yuan Z., Luo P., Shen J., Long S., Zhang L., Jiang Z., A System Developed for Monitoring and Analyzing Dynamic Changes of GNSS Precipitable Water Vapor and Its Application, in China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I, J. Sun, et al., Editors. 2015, Springer Berlin Heidelberg. p. 95-105.