Overview of the D3R Observations during the IFloodS Field Experiment with Emphasis on Rainfall Mapping and Microphysics

Robert M. Beauchamp Colorado State University, Fort Collins, Colorado

Search for other papers by Robert M. Beauchamp in
Current site
Google Scholar
PubMed
Close
,
V. Chandrasekar Colorado State University, Fort Collins, Colorado

Search for other papers by V. Chandrasekar in
Current site
Google Scholar
PubMed
Close
,
Haonan Chen Colorado State University, Fort Collins, Colorado

Search for other papers by Haonan Chen in
Current site
Google Scholar
PubMed
Close
, and
Manuel Vega NASA Goddard Space Flight Center, Greenbelt, Maryland, and Colorado State University, Fort Collins, Colorado

Search for other papers by Manuel Vega in
Current site
Google Scholar
PubMed
Close
Restricted access

We are aware of a technical issue preventing figures and tables from showing in some newly published articles in the full-text HTML view.
While we are resolving the problem, please use the online PDF version of these articles to view figures and tables.

Abstract

The NASA dual-frequency, dual-polarization Doppler radar (D3R) was deployed as part of the GPM Iowa Flood Studies (IFloodS) ground validation field campaign from 1 May through 15 June 2013. The D3R participated in a multi-instrument targeted investigation of convective initiation and hydrological response in the midwestern United States. An overview of the D3R’s calibration and observations is presented. A method for attenuation correction of Ka-band observations using Ku-band results is introduced. Dual-frequency ratio estimates in stratiform rain and ice are presented and compared with theoretical values. Ku-band quantitative precipitation estimation results are validated against IFloodS ground instruments.

Corresponding author address: V. Chandrasekar, Colorado State University, 1373 Campus Delivery, Fort Collins, CO 80523. E-mail: chandra@engr.colostate.edu

Abstract

The NASA dual-frequency, dual-polarization Doppler radar (D3R) was deployed as part of the GPM Iowa Flood Studies (IFloodS) ground validation field campaign from 1 May through 15 June 2013. The D3R participated in a multi-instrument targeted investigation of convective initiation and hydrological response in the midwestern United States. An overview of the D3R’s calibration and observations is presented. A method for attenuation correction of Ka-band observations using Ku-band results is introduced. Dual-frequency ratio estimates in stratiform rain and ice are presented and compared with theoretical values. Ku-band quantitative precipitation estimation results are validated against IFloodS ground instruments.

Corresponding author address: V. Chandrasekar, Colorado State University, 1373 Campus Delivery, Fort Collins, CO 80523. E-mail: chandra@engr.colostate.edu
Save
  • Bringi, V. N., and Chandrasekar V. , 2001: Polarimetric Doppler Weather Radar: Principles and Applications. Cambridge University Press, 664 pp.

    • Search Google Scholar
    • Export Citation
  • Chen, H., and Chandrasekar V. , 2015: Estimation of light rainfall using Ku-band dual-polarization radar. IEEE Trans. Geosci. Remote Sens., 53, 5197–5208, doi:10.1109/TGRS.2015.2419212.

    • Search Google Scholar
    • Export Citation
  • Gorgucci, E., and Baldini L. , 2007: Attenuation and differential attenuation correction of C-band radar observations using a fully self-consistent methodology. IEEE Geosci. Remote Sens. Lett., 4, 326330, doi:10.1109/LGRS.2007.894162.

    • Search Google Scholar
    • Export Citation
  • Hillaker, H. J., 2013: Preliminary Iowa weather summary–2013. Iowa Dept. of Agriculture, accessed 2 February 2015. [Available online at www.iowaagriculture.gov/climatology/weatherSummaries/2013/pas2013.pdf.]

  • Meneghini, R., Kumagai H. , Wang J. R. , Iguchi T. , and Kozu T. , 1997: Microphysical retrievals over stratiform rain using measurements from an airborne dual-wavelength radar-radiometer. IEEE Trans. Geosci. Remote Sens., 35, 487506, doi:10.1109/36.581956.

    • Search Google Scholar
    • Export Citation
  • Scarchilli, G., Gorgucci E. , Chandrasekar V. , and Dobaie A. , 1996: Self-consistency of polarization diversity measurement of rainfall. IEEE Trans. Geosci. Remote Sens., 34, 2226, doi:10.1109/36.481887.

    • Search Google Scholar
    • Export Citation
  • Thurai, M., Huang G. J. , Bringi V. N. , Randeu W. L. , and Schönhuber M. , 2007: Drop shapes, model comparisons, and calculations of polarimetric radar parameters in rain. J. Atmos. Oceanic Technol., 24, 10191032, doi:10.1175/JTECH2051.1.

    • Search Google Scholar
    • Export Citation
  • Tokay, A., Wolff D. B. , and Petersen W. A. , 2014: Evaluation of the new version of the laser-optical disdrometer, OTT Parsivel2. J. Atmos. Oceanic Technol., 31, 12761288, doi:10.1175/JTECH-D-13-00174.1.

    • Search Google Scholar
    • Export Citation
  • Tyynelä, J., and Chandrasekar V. , 2014: Characterizing falling snow using multifrequency dual-polarization measurements. J. Geophys. Res. Atmos., 119, 82688283, doi:10.1002/2013JD021369.

    • Search Google Scholar
    • Export Citation
  • Vega, M. A., Chandrasekar V. , Carswell J. , Beauchamp R. M. , Schwaller M. R. , and Nguyen C. M. , 2014: Salient features of the dual-frequency, dual-polarized, Doppler radar for remote sensing of precipitation. Radio Sci., 49, 1087–1105, doi:10.1002/2014RS005529.

    • Search Google Scholar
    • Export Citation
  • Wang, Y., and Chandrasekar V. , 2009: Algorithm for estimation of the specific differential phase. J. Atmos. Oceanic Technol., 26, 25652578, doi:10.1175/2009JTECHA1358.1.

    • Search Google Scholar
    • Export Citation
  • Waterman, P. C., 1965: Matrix formulation of electromagnetic scattering. Proc. IEEE, 53, 805812, doi:10.1109/PROC.1965.4058.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 968 596 286
PDF Downloads 221 53 5