Title :
Retrieval of Slant Water Vapor Path and Slant Liquid Water from Microwave Radiometer Measurements during the DYNAMO Experiment
Author :
Sahoo, Swaroop ; Bosch-Lluis, Xavier ; Reising, Steven C. ; Ellis, Scott M. ; Vivekanandan, Jothiram ; Zuidema, Paquita
Author_Institution :
Sch. of Electr. & Electron. Eng., Kalinga Inst. of Ind. Technol. Univ., Bhubaneswar, India
Abstract :
Observations during the Dynamics of the Madden-Julian Oscillation (DYNAMO) experiment focused on sensing atmospheric parameters, including vertical moisture profiles, cloud structure, precipitation processes, and planetary boundary layer properties, all of which are important for understanding and modeling the Madden-Julian Oscillation (MJO). These observations were performed using a variety of in-situ and remote sensors, including the S-band polarimetric and Ka-band (S-PolKa) radar, deployed by the National Center for Atmospheric Research (NCAR), and a colocated University of Miami microwave radiometer (UM-radiometer) operating at 23.8 and 30.0 GHz. These instruments sampled approximately the same volumes of the atmosphere at a variety of azimuth and elevation angles. The principal goal of this study is to develop a new retrieval strategy to estimate slant water vapor path (SWP) and slant liquid water (SLW) using UM-radiometer measurements from zenith to low elevation angles at a variety of azimuth angles. Retrievals of SWP along the radar signal path help to determine the error in radar reflectivity due to water vapor absorption. The retrieval algorithm has been developed using the vapor-liquid water ratio (VLWR) as well as both modeled and measured brightness temperatures for zenith to low elevation angles. Observation system simulation experiment (OSSE) results and measured radiosonde data have been used to determine that the retrieval uncertainty is less than 5% for integrated water vapor (IWV) and less than 12% for integrated liquid water (ILW). OSSE results for SWP show that the retrieval uncertainty is less than 8% at 5° elevation angle and less than 5% at 7° and 9°, while the mean difference between SWP retrieved from radiometer measurements and those retrieved from the S-PolKa radar during the DYNAMO campaign is less than 10% at 5° elevation angle and less than 7.5% at 7° and 9°. OSSE results for SLW show that the- mean error is less than 24% for 5° elevation angle and less than 18% for 7° and 9°. Such retrievals of SWP and SLW help to characterize the distribution of water vapor and liquid water in the lower troposphere, which in turn may contribute to improvements in forecasting of convective initiation and precipitation.
Keywords :
atmospheric humidity; atmospheric movements; radar polarimetry; radiometry; remote sensing by radar; DYNAMO experiment; Dynamics of the Madden-Julian Oscillation; National Center for Atmospheric Research; S-PolKa radar; S-band polarimetric radar; UM-radiometer measurement; University of Miami microwave radiometer; atmospheric parameters; azimuth angle; brightness temperature; cloud structure; convective initiation forecasting; integrated liquid water; integrated water vapor; liquid water distribution; measured radiosonde data; microwave radiometer measurement; observation system simulation experiment; planetary boundary layer; precipitation forecasting; precipitation processes; radar reflectivity; radar signal path; remote sensor; retrieval algorithm; retrieval uncertainty; slant liquid water estimation; slant liquid water retrieval; slant water vapor path estimation; slant water vapor path retrieval; vapor-liquid water ratio; vertical moisture profile; water vapor absorption; water vapor distribution; Absorption; Atmospheric measurements; Brightness temperature; Liquids; Microwave radiometry; Sensitivity; Temperature measurement; Atmospheric measurements; humidity; microwave radiometry; remote sensing; slant liquid water (SLW); slant water path;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2015.2445785