Real-time water vapor maps from a GPS surface network: Construction, validation, and applications

Journal of Applied Meteorology and Climatology

Volumn 48, Issue 7, 2009, Pages 1302-1316

  de Haan, Siebren ^a   Holleman, Iwan ^a   Holtslag, Albert A M ^b  

^a ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND-ERROR COVARIANCES; GLOBAL POSITIONING SYSTEM RECEIVERS; INTEGRATED WATER VAPORS; LIGHTNING DETECTION; MOIST AIR; NOWCASTING; NUMERICAL WEATHER PREDICTION MODELS; STANDARD DEVIATION; SURFACE NETWORKS; SURFACE WINDS; TWO STEP METHOD; WATER VAPOR MAPS; WEATHER RADARS;

FORECASTING; GLOBAL POSITIONING SYSTEM; METEOROLOGICAL INSTRUMENTS; STATISTICS; THUNDERSTORMS; TRACKING RADAR; TWO DIMENSIONAL; VARIATIONAL TECHNIQUES; WATER VAPOR;

RADIOSONDES;

GPS; NOWCASTING; NUMERICAL MODEL; RADIOSONDE; REAL TIME; SURFACE WIND; THUNDERSTORM; WATER VAPOR; WEATHER FORECASTING;

EID: 70349661967     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JAMC2024.1     Document Type: Article

References (37)

1. Baltink, H. K., H. van der Marel, and A. G. A. van der Hoeven, 2002: Integrated atmospheric water vapor estimates from a regional GPS network. J. Geophys. Res., 107, 4025, doi:10.1029/ 2000JD000094.
2. Banacos, P., and D. Schultz, 2005: The use of moisture flux convergence in forecasting convective initiation: Historical and operational perspectives. Wea. Forecasting, 20, 351-366.
3. Beekhuis, H., and I. Holleman, 2004: Upgrade and evaluation of a lightning detection system. Proc. Int. Lightning Detection Conf. 2004, Helsinki, Finland, Vaisala, 17 pp.
4. Bevis, M., S. Businger, S. Chiswell, T. A. Herring, R. A. Anthes, C. Rocken, and R. H. Ware, 1994: GPS meteorology: Mapping zenith wet delays onto precipitable water. J. Appl. Meteor., 33, 379-386.
5. Boyden, C. J., 1963: A simple instability index for use as a synoptic parameter. Meteor. Mag., 92, 198-210.
6. Daley, R., 1991: Atmospheric Data Analysis. 2nd ed. Cambridge University Press, 457 pp.
7. Davis, J., T. Herring, I. Shapiro, A. Rogers, and G. Elgered, 1985: Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length. Radio Sci., 20, 1593-1607.
8. de Haan, S., 2006: Measuring atmospheric stability with GPS. J. Appl. Meteor. Climatol., 45, 467-475.
9. de Haan, S., and S. J. M. Barlag, 2004: Time series. Final Report of COST716 Working Group 1, G. Elgered et al., Eds., European Union, 98-103.
10. de Haan, S., H. van der Marel, and S. J. M. Barlag, 2002: Comparison of GPS slant delay measurements to a numerical model: Case study of a cold front passage. Phys. Chem. Earth, 27, 317-322.
11. de Haan, S., S. J. M. Barlag, H. K. Baltink, and F. Debie, 2004: Synergetic use of GPS water vapor and Meteosat images for synoptic weather forecasting. J. Appl. Meteor., 43, 514-518.
12. Doviak, R. J., and D. S. Zrnić, 1993: Doppler Radar and Weather Observations. 2nd ed. Academic Press, 562 pp.
13. Emardson, T. R., G. Elgered, and J. M. Johanson, 1998: Three months of continuous monitoring of atmospheric water vapor with a network of global positioning system receivers. J. Geophys. Res., 103, 1807-1820.
14. Emardson, T. R., J. M. Johanson, and G. Elgered, 2000: The systematic behaviour of water vapor estimates using four years of GPS observations. Trans. IEEE Geosci. Remote Sens., GE-3, 324-329.
15. Guerova, G., E. Brockmann, J. Quiby, F. Schubiger, and C. Mätzler, 2003: Validation of NWP mesoscale models with Swiss GPS network AGNES. J. Appl. Meteor., 42, 141-150.
16. Haklander, A. J., and A. van Delden, 2003: Thunderstorm predictors and their forecast skill for the Netherlands. Atmos. Res., 67-68, 273-299.
17. Holleman, I., 2005: Quality control and verification of weather radar wind profiles. J. Atmos. Oceanic Technol., 22, 1541-1550.
18. Holleman, I., 2007: Bias adjustment and long-term verification of radar-based precipitation estimates. Meteor. Appl., 14, 195-203.
19. Holleman, I., H. Beekhuis, S. Noteboom, L. Evers, H. W. Haak, H. Falcke, and L. Bähren, 2006: Validation of an operational lightning detection system. Proc. Int. Lightning Detection Conf. 2006, Tucson, AZ, Vaisala, 16 pp. [Available online at http://www.vaisala.com/files/Validation_of_an_operational_ lightning_detection_system.pdf.]
20. Hollingsworth, A., and P. Lonnberg, 1986: The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field. Tellus, 38A, 111-136.
21. Liou, Y. A., Y. T. Teng, T. van Hove, and J. C. Liljegren, 2001: Comparison of precipitable water observations in the near tropics by GPS, microwave radiometer, and radiosondes. J. Appl. Meteor., 40, 5-15.
22. Macpherson, S. R., G. Deblonde, J. M. Aparicio, and B. Casati, 2007: Impact of ground-based GPS observations on the Canadian Regional Analysis and Forecast System. Preprints, 11th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), San Antonio, TX, Amer.Meteor. Soc., 5.5. [Available online at http://ams.confex.com/ams/pdfpapers/117995.pdf.]
23. Marshall, J. S., and W. M. Palmer, 1948: The distribution of raindrops with size. J. Meteor., 5, 165-166.
24. Mazany, R. A., S. Businger, S. I. Gutman, and W. Roeder, 2002: A lightning prediction index that utilizes GPS-integrated precipitable water vapor. Wea. Forecasting, 17, 1034-1047.
25. Niell, A. E., A. J. Coster, F. S. Solheim, and V. B. Mendes, 2001: Comparison of measurements of atmospheric wet delay by radiosonde, water vapor radiometer, GPS, and VLBI. J. Atmos. Oceanic Technol., 18, 830-850.
26. Poli, P., and Coauthors, 2007: Forecast impact studies of zenith total delay data from European near real-time GPS stations in Météo France 4DVAR. J. Geophys. Res., 112, D06114, doi:10.1029/2006JD007430.
27. Ray, R. D., 1999: A global ocean tide model from TOPEX/Poseidon altimetry: GOT99.2. NASA Tech. Memo. 209478, Goddard Space Flight Center, 58 pp.
28. Rocken, C., R. Ware, T. van Hove, F. Solheim, C. Alber, J. Johnson, M. Bevis, and S. Businger, 1993: Sensing atmospheric water vapor with the global positioning system. Geophys. Res. Lett., 20, 2631-2634.
29. Rocken, C., T. van Hove, J. Johnson, F. Solheim, R. Ware, M. Bevis, S. Chiswell, and S. Busingerb, 1995: GPS/STORM - GPS sensing of atmospheric water vapor for meteorology. J. Atmos. Oceanic Technol., 12, 468-478.
30. Rocken, C. R., T. van Hove, and R. H. Ware, 1997: Near real-time GPS sensing of atmospheric water vapor. Geophys. Res. Lett., 24, 3221-3224.
31. Saastamoinen, J., 1972: Atmospheric correction for the troposphere and stratosphere in radio ranging of satellites. The Use of Artificial Satellites for Geodesy, Geophys. Monogr., Vol. 15, Amer. Geophys. Union, 247-251.
32. Scherneck, H.-G., 1991: A parametrized solid earth tide mode and ocean loading effects for global geodetic base-line measurements. Geophys. J. Int., 106, 677-694.
33. Schmeits, M. J., K. J. Kok, and D. H. P. Vogelezang, 2005: Probabilistic forecasting of (severe) thunderstorms in the Netherlands using model output statistics. Wea. Forecasting, 20, 134-148.
34. Smith, T. L., S. I. Gutman, and S. R. Sahm, 2007: Forecast impact from assimilation of GPS IPW observations into the Rapid Update Cycle. Mon. Wea. Rev., 135, 2914-2930.
35. Stoew, B., G. Elgered, and J. M. Johansson, 2001: An assessment of estimates of integrated water vapour from ground based GPS data. Meteor. Atmos. Phys., 77, 99-107.
36. Undén, P., and Coauthors, 2002: HIRLAM-5 scientific documentation. IRLAM Project Tech. Rep., Norrköping, Sweden, 144 pp. [Available online at http://hirlam.org.]
37. Vaisala, 2006: Vaisala radiosonde RS92-SGP brochure. Vaisala Oyj Tech. Rep. Ref. B210358EN-C, Helsinki, Finland, 2 pp. [Available online at http://www.vaisala.com/.]