Time series analysis of ground-based microwave measurements at K- and V-bands to detect temporal changes in water vapor and temperature profiles

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Panda, Sibananda ; Sahoo, Swaroop ; Pandithurai, Govindan (2017)

Ground-based microwave measurements performed at water vapor and oxygen absorption line frequencies are widely used for remote sensing of tropospheric water vapor density and temperature profiles, respectively. Recent work has shown that Bayesian optimal estimation can be used for improving accuracy of radiometer retrieved water vapor and temperature profiles. This paper focuses on using Bayesian optimal estimation along with time series of independent frequency measurements at K- and V-bands. The measurements are used along with statistically significant but short background data sets to retrieve and sense temporal variations and gradients in water vapor and temperature profiles. To study this capability, the Indian Institute of Tropical Meteorology (IITM) deployed a microwave radiometer at Mahabubnagar, Telangana, during August 2011 as part of the Integrated Ground Campaign during the Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX-IGOC). In this study, temperature profiles for the first time have been estimated using short but statistically significant background information so as to improve the accuracy of the retrieved profiles as well as to be able to detect gradients. Estimated water vapor and temperature profiles are compared with those taken from the reanalysis data updated by the Earth System Research Laboratory, National Oceanic and Atmospheric Administration (NOAA), to determine the range of possible errors. Similarly, root mean square errors are evaluated for a month for water vapor and temperature profiles to estimate the accuracy of the retrievals. It is found that water vapor and temperature profiles can be estimated with an acceptable accuracy by using a background information data set compiled over a period of 1 month.
  • References (26)
    26 references, page 1 of 3

    Ali, M. M.: Cyclone, in: Remote Sensing Applications, edited by: Roy, P. S., Dwivedi, R. S., and Vijayan, D.: National Remote Sensing Centre, Hyderabad, India, 11, 273-282, 2009.

    Cimini, D., Hewison, T. J., Martin, L., Güldner, J., and Marzano, F. S.: Temperature and humidity profile retrievals from ground based microwave radiometers during TUC, Meteor. Z., 15, 45- 56, 2006.

    Feltz, W. F., Howell, H. B., Knuteson, R. O., Woolf, H. M., and Revercomb, H. E.: Near continuous profiling of temperature, moisture, and atmospheric stability using the Atmospheric Emitted Radiance Interferometer (AERI), J. Appl. Meteorol., 42, 584-597, 2003.

    Goldsmith, J. E. M., Blair, F. H., Bisson, S. E., and Turner, D. D.: Turn-key Raman lidar for profiling atmospheric water vapor, clouds, and aerosols, Appl. Opt., 37, 4979-4990, 1998.

    Hewison, T. J.: 1D-VAR retrieval of temperature and humidity profiles from a ground-based microwave radiometer, IEEE Trans. Geosci. Remote Sens., 45, 2163-2168, 2007.

    Iturbide-Sanchez, F., Reising, S. C., and Padmanabhan, S.: A miniaturized spectrometer radiometer based on MMIC technology for tropospheric water vapor profiling, IEEE Trans. Geosci. Remote Sens., 44, 2181-2193, 2007.

    Leena, P. P., Dani, K. K., Nath, A. Sanap, S. D., Pandithurai, G., and Kumar, V. A.: Validation of ground-based microwave radiometer data and its application in verifying atmospheric stability over Mahbubnagar during 2011 monsoon and post-monsoon seasons, Int. J. Remote Sens., 36, 2920-2933, 2015.

    Liebe, H. J., Hufford, G. A., and Cotton, M. G.: Propagation modeling of moist air and suspended water/ice particles at frequencies below 1000 GHz, AGARD 52nd Specialists' Meeting of the Electromagnetic Wave Propagation Panel, Chapter 3, 1993, Liljegren, J. C.: Microwave Radiometer Profiler Handbook, https://www.arm.gov/publications/tech_reports/handbooks/ mwrp_handbook.pdf (last access: 8 August 2016), Microwave Radiometer Profiler Handbook, 2002.

    Marzano, F. S., Cimini, D., Memmo, A., Montopoli, M., Rossi, T., De Sanctis, M., Lucente, M., Mortari, D., and Di Michele, S.: Flower Constellation of Millimeter-Wave radiometers for Tropospheric monitoring at pseudogeostationary scale, IEEE Trans. Geosci. Remote Sens., 47, 3107-3122, 2009.

    Needs, N. R.: Observing Weather and Climate from the Ground Up: A Nationwide Network of Networks. National Academies, Washington, DC, 2009.

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