Home   >   CSC-OpenAccess Library   >    Manuscript Information
Spatial-temporal Characterization of Hurricane Path using GNSS-derived Precipitable Water Vapor: Case Study of Hurricane Matthew in 2016
Hoda Tahami, Jihye Park
Pages - 1 - 17     |    Revised - 31-05-2020     |    Published - 30-06-2020
Volume - 7   Issue - 1    |    Publication Date - June 2020  Table of Contents
GNSS Meteorology, Precipitable Water Vapor (PWV), Principle Component Regression (PCR), Hurricane.
Global Navigation Satellite System (GNSS) precise point positioning (PPP) technique is capable of monitoring Precipitable Water Vapor (PWV) in high accuracy with low cost. As PWV is related to the initiation and development of a severe weather convective system, this study analyzed the characteristics of PWV variations over time and space to monitor and predict the path and the intensity of a severe rainfall during a hurricane. The PWV measurements are obtained by processing ground based GNSS data. The spatial and temporal variation of PWV and other meteorological variables are characterized for the time frames of before, during, and after the severe precipitation. The correlation effect between meteorological variables were mitigated by adapting a principle component analysis (PCA) and multivariate regression analysis. The method allows determining the expected movement of the rainfall up to 24 hours in advance. The proposed method was validated by analyzing the distribution pattern of the predicted PWV residual, its magnitude, and the actual observed PWV in the region. As a case study, we adopted one of the destructive and long-lived hurricane along the Florida, Georgia, North Carolina and South Carolina coast, namely, Hurricane Matthew, occurred in October 2016. From the experiment, we identified the areas closely fitting the prediction model by computing the residuals between the GNSS derived PWV measurements at each station in the test site. The residual of the predicted model is used for determining the track of extreme hurricane precipitation and potentially applied to evaluate its intensity. This study proved the effectiveness of the statistical model for forecasting the hurricane rainfall path that is potentially applied to a hazard early warning system.
1 Google Scholar 
2 refSeek 
3 Scribd 
4 SlideShare 
A. Akilan, K.K. AbdulAzeez, S.Balajj, H.Schuh, and Y.Srinivas. "GPS derived Zenith Total Delay (ZTD) observed at tropical locations in South India during atmospheric storms and depressions," Journal of Atmospheric and Solar-Terrestrial Physics, vol.125-126, pp.1-17, 2015.
A. Seco, F. Ramírez, E.Serna, E.Prieto, R.García, A.M. Juan, C. Cantera, L.,Jose, and E.Priego. "Rain pattern analysis and forecast model based on GPS estimated atmospheric water vapor content," Atmosric Environvironmet, vol. 49, pp. 85-93, 2012.
A.Caloria, J.R.Santosb, M.Blancob, H.Pessanocd, P.Llamedoe, P.Alexanderf, and A.de la Torree. "Ground-based GNSS network and integrated water vapor mapping during the development of severe storms at the Cuyo region (Argentina)," Atmospheric Research, vol. 176-177, pp. 267-275, 2016.
A.F. Zuur, E.N. Ieno, and C.S. Elphick, "A protocol for data exploration to avoid common statistical problems," Methods Ecology and Evolution, vol. 1, pp. 3-14, 2010.
B. Gao and C. Kaufman, "Water vapor retrievals using Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared channels," Journal of Geophysical Research Atmosphere, vol.108 , 2003.
B. Hofmann-Wellenhof, H. Lichtenegger, and E.Wasle. "GNSS- Global Navigation Satellite Systems GPS,GLONASS, GALILEO, and more," Springer, pp. 105- 160, 2006.
C. Rocken, R.Ware, T. Van Hove, F. Solheim, C. Alber, J. Johnson, M. Bevis, S. Businger. "Sensing of Atmospheric Water Vapor with the Global Positioning System," Geophysical Research Letters, vol.20, issue.125,1993.
C. Yu, N.T. Penna, and Z. Li. "Generation of real-time mode high-resolution water vapor fields from GPS observation," Journal of Geophysical Research Atmosphere Research, vol.22, pp. 2008-2025, 2017.
E. Priego, J. Jones, M.J. Porres & A. Seco. "Monitoring water vapour with GNSS during a heavy rainfall event in the Spanish Mediterranean area," Geomatics, Natural Hazards Risk, vol. 8, pp. 282-294, 2017.
E. Realini, K. Sato, T. Tsuda, Susilo, and T. Manik. "An observation campaign of precipitable water vapor with multiple GPS receivers in western Java, Indonesia," Progress in Earth and Planetary Science, vol.1, pp. 1-15, 2014.
F. Karimi, S. Sultana, A. Shirzadi Babakan, and S. Suthaharan. "An enhanced support vector machine model for urban expansion prediction". Computers Environment Urban System, vol. 75, pp. 61-75, 2019.
F. Tian , Y. Zheng ,T. Zhang , X. Zhang , D. Mao, J. Sun, and S. Zhao. "Statistical characteristics of environmental parameters for warm season short-duration heavy rainfall over central and eastern China," Journal of Meteorological Research, vol. 29, pp. 370-384, 2015.
G. Guerova, J. Jones, J. Douša, G. Dick, S. de Haan, E. Pottiaux, O. Bock, R. Pacione, G. Elgered, H. Vedel, and M. Bender. "Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe," Atmospheric Measurement Technique, vol.9, pp. 5385-5406, 2016.
G. Kiely, J.D. Albertson, M.B. Parlange, and R.W. Katz. "Conditioning stochastic properties of daily precipitation on indices of atmospheric circulation," Meteorological Application, vol. 5, pp. 75-87, 1998.
G. Li, D. Huang, B. Liu, and J. Chen. "Experiment on driving precipitable water vaport from ground-based GPS network in Chengdu Plain," Geo-Spatial Information Science. vol. 10, pp. 181-185, 2007.
H. Tahami, J. Park, and Y. Choi. "The Preliminary study on the prediction of a Hurricane path by GNSS derived PWV Analysis," Proc. ION 2017 Pacific PNT Meeting, pp. 500-513, 2009.
H.H. Aumann, M.T. Chahine, C. Gautier, M.D. Goldberg, E. Kalnay , L.M. McMillin , H. Revercomb, P.W.Rosenkranz, W.L.Smith, D.H.Staelin, L.L.Strow, and J.Susskind. "AIRS/AMSU/HSB on the aqua mission: Design, science objectives, data products, and processing systems," IEEE Transactions on Geoscience and Remote Sensing, vol.41, pp. 253-264 2003.
I. Prayoga and E.L.Siadari, "Atmospheric conditions analysis of the heavy rain phenomenon in Biak (case study 4-5 December 2014)," Journal of Physics, Solo, Indonesia,2017.
J. Boehm, B.Werl, and H. Schuh. " Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data," Journal of Geophysics Research. Solid Earth, vol. 111, pp. 1-9, 2006.
J. Shi, Ch. Xu, J. Guo, and Y. Gao. "Real-Time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting," IEEE Transaction on Geoscience and Remote Sensing, vol. 53, pp. 3452-3459, 2015.
K. Boniface, V. Ducrocq, G. Jaubert, X. Yan, P. Brousseau, F. Masson, C. Champollion, J. Chéry, and E. Doerflinger. "Impact of high-resolution data assimilation of GPS zenith delay on Mediterranean heavy rainfall forecasting," Annual Geophysics, vol. 27, pp. 2739-2753, 2009.
K. Sato, E. Realini, T. Tsuda, and H. Seko. "A High-Resolution , Precipitable Water Vapor Monitoring System Using a Dense Network of GNSS Receivers," Journal of Disaster Research, vol. 8, pp. 37-47, 2013.
L.F. Sapucci, L. A. T. Machado, E. M de Souza, and T.B. Campos. "GPS-PWV jumps before intense rain events," Atmospheric Measurement Technique, pp.1-27, 2016.
L.Yang, C.Hill, and T. Moore," Numerical weather modeling-based slant tropospheric delay estimation and its enhancement by GNSS data," Geo-spatial Information Science, vol. 16, pp. 186-200, 2013.
M. Abadi and M. Kermanshah. "Exploring Spatial Variation in Socioeconomic Determinants of Private Car Ownership," Transportation Research Board (TRB) 93rd Annual Meeting, Washington D.C, 2013.
M. Bevis, S. Businger, T. A. Herring, Ch. Rocken, A. Anthes, and R.H. Ware. "GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system," Journal of Geophysical Research, vol. 97, issue.1578,1992.
M. Lindskog, M. Ridal, and S.Thorsteinsson, T. Ning. "Data assimilation of GNSS zenith total delays from a Nordic processing centre," Atmospheric Chemistry and Physics, vol. 17, pp. 13983-13998, 2017.
N. Žagar, "A global perspective of the limits of prediction skill of NWP models," Tellus: A Dynamic Meteorological Oceanography, vol. 69, pp. 1-15, 2017.
P. Albert, R.Bennartz, and J.Fischer. "Remote sensing of atmospheric water vapor from backscattered sunlight in cloudy atmospheres," Journal of Atmospheric and Oceanic Technology, vol.18, pp. 865-874, 2001.
P. Benevides, J. Catalao, and P.Miranda, "On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall," Natural Hazards and Earth System Sciences. vol.15, pp. 2605-2616, 2015.
P. Jiang, S. Ye, D. Chen,Y. Liu, and P. Xia. "Retrieving precipitablewater vapor data using GPS zenith delays and global reanalysis data in China," Remote Sensing, vol.8, 2016.
R. Bennartz and J. Fischer. "Retrieval of columnar water vapour over land from backscattered solar radiation using the medium resolution imaging spectrometer," Remote Sensing Environment, vol. 78, pp. 274-283, 2001.
R. Madden and J.Williams, "The correlation between temperature and precipitation in the United State and Europe," Monthly Weather Review, vol. 106, pp. 142-147, 1978.
S. Wasimi. "A Hybrid Model for Forecasting Daily Rainfall," Water Resource Research, vol. 26, pp. 2741-2746, 1990.
S. Wernli and P.HeinI. "Quantifying the Relevance of Cyclones for Precipitation Extremes," Journal of Climate, vol. 25, pp. 6770-6780, 2012.
S.Gutman and S. Benjamin. "The Role of Ground-Based GPS Meteorological Observations in Numerical Weather Prediction," GPS Solution. vol. 4, pp.16-24, 2001.
S.Manandhar and Y.H. Lee, "GPS-Derived PWV for Rainfall Now casting in Tropical Region," IEEE Transaction in Geoscience. Remote Sensing, vol. 56, pp. 4835-4844, 2018.
T. Hadas, J. Kaplon, J. Bosy, J. Sierny and K. Wilgan. "Near-real-time regional troposphere models for the GNSS precise point positioning technique," Measurement Science and Technology, vol.24, 2013.
U. Dayan, K. Nissen, and U.Ulbrich, "Review Article: Atmospheric conditions inducing extreme precipitation over the eastern and western Mediterranean," Natural Hazards Earth System Science, vol. 15, pp. 2525-2544, 2015.
W. Suparta and R.Rahman ,"Spatial interpolation of GPS PWV and meteorological variables over the west coast of Peninsular Malaysia during 2013 Klang Valley Flash Flood," Atmospheric Research, vol. 168, pp. 205-219, 2016.
W.Zhao and M.A. Khalil, "The relationship between precipitation and temperature over the contiguous United States," Journal of Climate, vol. 11, pp. 1520-0442, 1993.
X. Dongdong, Z. Jie, X. Jingming, L. Zhenyu, and H. Hai. "The Study on Detection Method of Water Vapor on Boundary Layer Based on Multiagent System," Mathematical Problems in Engineering, vol.6, pp.1-9, 2015.
Y. Cao, H. Guo, R. Liao, and M. Uradzinski . "Analysis of water vapor characteristics of regional rainfall around Poyang Lake using ground-based GPS observations," Acta Geodesia et Geophysica, vol. 51, pp.467-479, 2016.
Y. Shoji, H. Yamauchi, W. Mashiko, and E. Sato. "Estimation of Local-scale Precipitable Water Vapor Distribution around Each GNSS Station Using Slant Path Delay," Sola, vol.10, pp. pp. 29-33, 2014.
Y. Yao, L.Shan, and Q. Zhao, " Establishing a method of short-term rainfall forecasting based on GNSS-derived PWV and its application," Scientific Report, vol. 7, pp. 1-11, 2017.
Z. Liu , M. Wong, J. Nichol, and P. W. Chan. "A multi-sensor study of water vapour from radiosonde, MODIS and AERONET: A case study of Hong Kong," International Journal of Climatology. vol. 33, pp.109-120 (2013).
Mrs. Hoda Tahami
Civil Engineering Department, Oregon State University, Corvallis Oregon, 97331 - United States of America
Dr. Jihye Park
Civil Engineering Department, Oregon State University, Corvallis Oregon, 97331 - United States of America