Table of Contents Author Guidelines Submit a Manuscript
Advances in Meteorology
Volume 2016 (2016), Article ID 4126393, 11 pages
http://dx.doi.org/10.1155/2016/4126393
Research Article

An Algorithm for Retrieving Precipitable Water Vapor over Land Based on Passive Microwave Satellite Data

1State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
4Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Received 20 October 2015; Revised 5 January 2016; Accepted 11 January 2016

Academic Editor: James Cleverly

Copyright © 2016 Fang-Cheng Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Bevis, S. Businger, T. A. Herring, C. Rocken, R. 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, no. 14, pp. 15787–15801, 1992. View at Google Scholar · View at Scopus
  2. I. M. Held and B. J. Soden, “Water vapor feedback and global warming,” in Annual Review of Energy and the Environment, pp. 441–475, Annual Reviews Inc, Palo Alto, Calif, USA, 2000. View at Google Scholar
  3. C. O. Justice, T. F. Eck, D. Tanre, and B. N. Holben, “The effect of water-vapor on the normalized difference vegetation index derived for the sahelian region from NOAA AVHRR data,” International Journal of Remote Sensing, vol. 12, no. 6, pp. 1165–1187, 1991. View at Google Scholar
  4. J. A. Sobrino, Z.-L. Li, and M. P. Stoll, “Impact of the atmospheric transmittance and total water vapor content in the algorithms for estimating satellite sea surface temperatures,” IEEE Transactions on Geoscience and Remote Sensing, vol. 31, no. 5, pp. 946–952, 1993. View at Publisher · View at Google Scholar · View at Scopus
  5. J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Improvements in the split-window technique for land surface temperature determination,” IEEE Transactions on Geoscience and Remote Sensing, vol. 32, no. 2, pp. 243–253, 1994. View at Publisher · View at Google Scholar · View at Scopus
  6. B.-H. Tang, Y. Y. Bi, Z.-A. Li, and J. Xia, “Generalized split-window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data,” Sensors, vol. 8, no. 2, pp. 933–951, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. J.-P. Chaboureau, A. Chédin, and N. A. Scott, “Remote sensing of the vertical distribution of atmospheric water vapor from the TOVS observations: method and validation,” Journal of Geophysical Research: Atmospheres, vol. 103, no. 8, pp. 8743–8752, 1998. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Wu, L. Ni, N. Wang, Y. Qian, B.-H. Tang, and Z.-L. Li, “Estimation of atmospheric profiles from hyperspectral infrared IASI sensor,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 3, pp. 1485–1494, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. H. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” International Journal of Remote Sensing, vol. 24, no. 24, pp. 5095–5117, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Peng, B.-H. Tang, H. Wu, R. Tang, and Z.-L. Li, “Estimating of the total atmospheric precipitable water vapor amount from the Chinese new generation polar orbit FengYun meteorological satellite (FY-3) data,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS '14), pp. 3029–3032, IEEE, Québec, Canada, July 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. A. E. Niell, A. J. Coster, F. S. Solheim et al., “Comparison of measurements of atmospheric wet delay by radiosonde, water vapor radiometer, GPS, and VLBI,” Journal of Atmospheric and Oceanic Technology, vol. 18, no. 6, pp. 830–850, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. D. Pérez-Ramírez, D. N. Whiteman, A. Smirnov et al., “Evaluation of AERONET precipitable water vapor versus microwave radiometry, GPS, and radiosondes at ARM sites,” Journal of Geophysical Research: Atmospheres, vol. 119, no. 15, pp. 9596–9613, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. R. N. Halthore, T. F. Eck, B. N. Holben, and B. L. Markham, “Sun photometric measurements of atmospheric water vapor column abundance in the 940-nm band,” Journal of Geophysical Research: Atmospheres, vol. 102, no. 4, pp. 4343–4352, 1997. View at Publisher · View at Google Scholar · View at Scopus
  14. B. N. Holben and T. F. Eck, “Precipitable water in the Sahel measured using sun photometry,” Agricultural and Forest Meteorology, vol. 52, no. 1-2, pp. 95–107, 1990. View at Publisher · View at Google Scholar · View at Scopus
  15. J. J. Michalsky, J. C. Liljegren, and L. C. Harrison, “A comparison of Sun photometer derivations of total column water vapor and ozone to standard measures of same at the Southern Great Plains Atmospheric Radiation Measurement site,” Journal of Geophysical Research Atmospheres, vol. 100, no. 12, pp. 25995–26003, 1995. View at Publisher · View at Google Scholar · View at Scopus
  16. F. E. Volz, “Economical multispectral sun photometer for measurements of aerosol extinction from 0.44 μm to 1.6 μm and precipitable water,” Applied Optics, vol. 13, no. 8, pp. 1732–1733, 1974. View at Publisher · View at Google Scholar · View at Scopus
  17. D. A. Leonard, “Observation of raman scattering from the atmosphere using a pulsed nitrogen ultraviolet laser,” Nature, vol. 216, no. 5111, pp. 142–143, 1967. View at Publisher · View at Google Scholar · View at Scopus
  18. J. A. Cooney, “Measurements on the raman component of laser atmospheric backscatter,” Applied Physics Letters, vol. 12, no. 2, pp. 40–42, 1968. View at Publisher · View at Google Scholar · View at Scopus
  19. W. B. Grant, “Differential absorption and Raman lidar for water vapor profile measurements: a review,” Optical Engineering, vol. 30, no. 1, pp. 40–48, 1991. View at Publisher · View at Google Scholar
  20. M. Froidevaux, C. W. Higgins, V. Simeonov et al., “A Raman lidar to measure water vapor in the atmospheric boundary layer,” Advances in Water Resources, vol. 51, pp. 345–356, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. D. N. Whiteman, K. Rush, S. Rabenhorst et al., “Airborne and ground-based measurements using a high-performance raman lidar,” Journal of Atmospheric and Oceanic Technology, vol. 27, no. 11, pp. 1781–1801, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. D. C. Hogg, F. O. Guiraud, J. B. Snider, M. T. Decker, and E. R. Westwater, “A steerable dual-channel microwave radiometer for measurement of water vapor and liquid in the troposphere,” Journal of Applied Meteorology, vol. 22, no. 5, pp. 789–806, 1983. View at Publisher · View at Google Scholar
  23. F. O. Guiraud, J. Howard, and D. C. Hogg, “A dual-channel microwave radiometer for measurement of precipitable water vapor and liquid,” IEEE Transactions on Geoscience Electronics, vol. 17, no. 4, pp. 129–136, 1979. View at Google Scholar · View at Scopus
  24. D. Cimini, T. J. Hewison, and L. Martin, “Comparison of brightness temperatures observed from ground-based microwave radiometers during TUC,” Meteorologische Zeitschrift, vol. 15, no. 1, pp. 19–25, 2006. View at Publisher · View at Google Scholar · View at Scopus
  25. M. P. Cadeddu, J. C. Liljegren, and D. D. Turner, “The atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals,” Atmospheric Measurement Techniques, vol. 6, no. 9, pp. 2359–2372, 2013. View at Publisher · View at Google Scholar · View at Scopus
  26. T. R. Emardson, J. Johansson, and G. Elgered, “The systematic behavior of water vapor estimates using four years of GPS observations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 1, pp. 324–329, 2000. View at Publisher · View at Google Scholar · View at Scopus
  27. Y. A. Liou, Y. T. Teng, T. V. Hove, and J. C. Liljegren, “Comparison of precipitable water observations in the near tropics by GPS, microwave radiometer, and radiosondes,” Journal of Applied Meteorology, vol. 40, no. 1, pp. 5–15, 2001. View at Publisher · View at Google Scholar · View at Scopus
  28. J. Chen and G. Li, “Diurnal variations of ground-based GPS-PWV under different solar radiation intensity in the Chengdu Plain,” Journal of Geodynamics, vol. 72, pp. 81–85, 2013. View at Publisher · View at Google Scholar · View at Scopus
  29. B.-C. Gao and Y. J. Kaufman, “Water vapor retrievals using Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared channels,” Journal of Geophysical Research D: Atmospheres, vol. 108, no. 13, pp. 1–10, 2003. View at Google Scholar · View at Scopus
  30. Z. Li, J.-P. Muller, and P. Cross, “Comparison of precipitable water vapor derived from radiosonde, GPS, and moderate-resolution imaging spectroradiometer measurements,” Journal of Geophysical Research: Atmospheres, vol. 108, no. 20, pp. 10-1–10-12, 2003. View at Google Scholar
  31. D. C. Tobin, H. E. Revercomb, R. O. Knuteson et al., “Atmospheric radiation measurement site atmospheric state best estimates for atmospheric infrared sounder temperature and water vapor retrieval validation,” Journal of Geophysical Research D: Atmospheres, vol. 111, no. 9, pp. 831–846, 2006. View at Publisher · View at Google Scholar
  32. H. H. Aumann, M. T. Chahine, C. Gautier et al., “AIRS/AMSU/HSB on the aqua mission: design, science objectives, data products, and processing systems,” IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 2, pp. 253–264, 2003. View at Publisher · View at Google Scholar · View at Scopus
  33. J. Susskind, C. D. Barnet, and J. M. Blaisdell, “Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds,” IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 2, pp. 390–409, 2003. View at Publisher · View at Google Scholar · View at Scopus
  34. P. Schluessel and W. J. Emery, “Atmospheric water vapour over oceans from SSM/I measurements,” International Journal of Remote Sensing, vol. 11, no. 5, pp. 753–766, 1990. View at Publisher · View at Google Scholar · View at Scopus
  35. F. Wentz and T. Meissner, “AMSR ocean algorithm, version 2, algorithm theoretical basis document,” Tech. Rep. 121599A-1, Remote Sensing System, Santa Rosa, Calif, USA, 2000. View at Google Scholar
  36. P. Basili, S. Bonafoni, V. Mattioli, P. Ciotti, and N. Pierdicca, “Mapping the atmospheric water vapor by integrating microwave radiometer and GPS measurements,” IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 8, pp. 1657–1665, 2004. View at Publisher · View at Google Scholar · View at Scopus
  37. S.-A. Boukabara, K. Garrett, and C. Wanchun, “Global coverage of total precipitable water using a microwave variational algorithm,” IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 10, pp. 3608–3621, 2010. View at Publisher · View at Google Scholar · View at Scopus
  38. F. Aires, C. Prigent, W. B. Rossow, and M. Rothstein, “A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations,” Journal of Geophysical Research: Atmospheres, vol. 106, no. 14, pp. 14887–14907, 2001. View at Publisher · View at Google Scholar · View at Scopus
  39. P. Basili, S. Bonafoni, V. Mattioli et al., “Neural-network retrieval of integrated precipitable water vapor over land from satellite microwave radiometer,” in Proceedings of the 11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad '10), pp. 161–166, IEEE, Washington, DC, USA, March 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. S. Bonafoni, V. Mattioli, P. Basili, P. Ciotti, and N. Pierdicca, “Satellite-based retrieval of precipitable water vapor over land by using a neural network approach,” IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 9, pp. 3236–3248, 2011. View at Publisher · View at Google Scholar · View at Scopus
  41. J. Miao, K. Kunzi, G. Heygster, T. A. Lachlan-Cope, and J. Turner, “Atmospheric water vapor over Antarctica derived from Special Sensor Microwave/Temperature 2 data,” Journal of Geophysical Research: Atmospheres, vol. 106, no. 10, pp. 10187–10203, 2001. View at Publisher · View at Google Scholar · View at Scopus
  42. K.-P. Johnsen, J. Miao, and S. Q. Kidder, “Comparison of atmospheric water vapor over Antarctica derived from CHAMP/GPS and AMSU-B data,” Physics and Chemistry of the Earth, Parts A/B/C, vol. 29, no. 2-3, pp. 251–255, 2004. View at Publisher · View at Google Scholar · View at Scopus
  43. M. N. Deeter, “A new satellite retrieval method for precipitable water vapor over land and ocean,” Geophysical Research Letters, vol. 34, no. 2, Article ID L02815, 2007. View at Publisher · View at Google Scholar · View at Scopus
  44. D. Ji and J. Shi, “Water vapor retrieval over cloud cover area on land using AMSR-E and MODIS,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 7, pp. 3105–3116, 2014. View at Publisher · View at Google Scholar · View at Scopus
  45. H. Yang, X. Zou, X. Li, and R. You, “Environmental data records from FengYun-3B microwave radiation imager,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 12, pp. 4986–4993, 2012. View at Publisher · View at Google Scholar · View at Scopus
  46. Thermodynamic Initial Guess Retrieval (TIGR), August 2015, http://ara.abct.lmd.polytechnique.fr/index.php?page=tigr.
  47. FENGYUN Satellite Data Center, August 2015, http://satellite.cma.gov.cn/PortalSite/Default.aspx.
  48. J. C. Bian, H. B. Chen, H. Vömel, Y. J. Duan, Y. J. Xuan, and D. R. Lü, “Intercomparison of humidity and temperature sensors: GTS1, Vaisala RS80, and CFH,” Advances in Atmospheric Sciences, vol. 28, no. 1, pp. 139–146, 2011. View at Publisher · View at Google Scholar
  49. L. M. Miloshevich, H. Vömel, D. N. Whiteman, and T. Leblanc, “Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements,” Journal of Geophysical Research Atmospheres, vol. 114, no. 11, pp. 1013–1033, 2009. View at Google Scholar
  50. B. N. Holben, T. F. Eck, I. Slutsker et al., “AERONET—a federated instrument network and data archive for aerosol characterization,” Remote Sensing of Environment, vol. 66, no. 1, pp. 1–16, 1998. View at Publisher · View at Google Scholar · View at Scopus
  51. A. Smirnov, B. N. Holben, T. F. Eck, O. Dubovik, and I. Slutsker, “Cloud-screening and quality control algorithms for the AERONET database,” Remote Sensing of Environment, vol. 73, no. 3, pp. 337–349, 2000. View at Publisher · View at Google Scholar · View at Scopus
  52. O. Dubovik, A. Smirnov, B. N. Holben et al., “Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) sun and sky radiance measurements,” Journal of Geophysical Research: Atmospheres, vol. 105, no. 8, pp. 9791–9806, 2000. View at Publisher · View at Google Scholar · View at Scopus
  53. Z.-L. Li, B.-H. Tang, H. Wu et al., “Satellite-derived land surface temperature: current status and perspectives,” Remote Sensing of Environment, vol. 131, pp. 14–37, 2013. View at Publisher · View at Google Scholar · View at Scopus
  54. Z.-L. Liu, H. Wu, B.-H. Tang, S. Qiu, and Z.-L. Li, “Atmospheric corrections of passive microwave data for estimating land surface temperature,” Optics Express, vol. 21, no. 13, pp. 15654–15663, 2013. View at Publisher · View at Google Scholar · View at Scopus
  55. Z.-L. Liu, H. Wu, B.-H. Tang, S. Qiu, and Z.-L. Li, “An empirical relationship of bare soil microwave emissions between vertical and horizontal polarization at 10.65 GHz,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 9, pp. 1479–1483, 2014. View at Publisher · View at Google Scholar · View at Scopus
  56. E. R. Westwater, J. B. Snider, and M. J. Falls, “Ground-based radiometric observations of atmospheric emission and attenuation at 20.6, 31.65, and 90.0 GHz: a comparison of measurements and theory,” IEEE Transactions on Antennas and Propagation, vol. 38, no. 10, pp. 1569–1580, 1990. View at Publisher · View at Google Scholar · View at Scopus
  57. K. S. Chen, T.-D. Wu, L. Tsang, Q. Li, J. Shi, and A. K. Fung, “Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 1, pp. 90–101, 2003. View at Publisher · View at Google Scholar · View at Scopus
  58. J. C. Shi, L. M. Jiang, L. X. Zhang, K.-S. Chen, J.-P. Wigneron, and A. Chanzy, “A parameterized multifrequency-polarization surface emission model,” IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 12, pp. 2831–2841, 2005. View at Publisher · View at Google Scholar · View at Scopus
  59. L. Chen, J. Shi, J.-P. Wigneron, and K.-S. Chen, “A parameterized surface emission model at L-band for soil moisture retrieval,” IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 1, pp. 127–130, 2010. View at Publisher · View at Google Scholar · View at Scopus
  60. M. C. Dobson, F. T. Ulaby, M. T. Hallikainen, and M. A. El-Rayes, “Microwave dielectric behavior of wet soil—part II: dielectric mixing models,” IEEE Transactions on Geoscience and Remote Sensing, vol. 23, no. 1, pp. 35–46, 1985. View at Publisher · View at Google Scholar · View at Scopus
  61. V. L. Mironov, M. C. Dobson, V. H. Kaupp, S. A. Komarov, and V. N. Kleshchenko, “Generalized refractive mixing dielectric model for moist soils,” IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 4, pp. 773–785, 2004. View at Publisher · View at Google Scholar · View at Scopus
  62. J. R. Wang and T. J. Schmugge, “An empirical model for the complex dielectric permittivity of soils as a function of water content,” IEEE Transactions on Geoscience and Remote Sensing, vol. 18, no. 4, pp. 288–295, 1980. View at Publisher · View at Google Scholar · View at Scopus
  63. MonoRTM, August 2015, http://rtweb.aer.com/monortm_frame.html.
  64. M. J. McFarland, R. L. Miller, and C. M. U. Neale, “Land surface temperature derived from the SSM/I passive microwave brightness temperatures,” IEEE Transactions on Geoscience and Remote Sensing, vol. 28, no. 5, pp. 839–845, 1990. View at Publisher · View at Google Scholar · View at Scopus
  65. Y. J. Kaufman and B.-C. Gao, “Remote sensing of water vapor in the near IR from EOS/MODIS,” IEEE Transactions on Geoscience and Remote Sensing, vol. 30, no. 5, pp. 871–884, 1992. View at Publisher · View at Google Scholar · View at Scopus