Izvestiya, Atmospheric and Oceanic Physics

, Volume 53, Issue 9, pp 1050–1059 | Cite as

The First Results of Monitoring the Formation and Destruction of the Ice Cover in Winter 2014–2015 on Ilmen Lake according to the Measurements of Dual-Frequency Precipitation Radar

  • V. Yu. Karaev
  • M. A. Panfilova
  • Yu. A. Titchenko
  • E. M. Meshkov
  • G. N. Balandina
  • Z. V. Andreeva
The Use of Space Information about the Earth
  • 1 Downloads

Abstract

The launch of the Dual-frequency Precipitation Radar (DPR) opens up new opportunities for studying and monitoring the land and inland waters. It is the first time radar with a swath (±65°) covering regions with cold climate where waters are covered with ice and land with snow for prolonged periods of time has been used. It is also the first time that the remote sensing is carried out at small incidence angles (less than 19°) at two frequencies (13.6 and 35.5 GHz). The high spatial resolution (4–5 km) significantly increases the number of objects that can be studied using the new radar. Ilmen Lake is chosen as the first test object for the development of complex programs for processing and analyzing data obtained by the DPR. The problem of diagnostics of ice-cover formation and destruction according to DPR data has been considered. It is shown that the dependence of the radar backscatter cross section on the incidence angle for autumn ice is different from that of spring ice, and can be used for classification. A comparison with scattering on the water surface has shown that, at incidence angles exceeding 10°, it is possible to discern all three types of reflecting surfaces: open water, autumn ice, and spring ice, under the condition of making repeated measurements to avoid possible ambiguity caused by wind.

Keywords

dual-frequency precipitation radar remote sensing backscattered radar specific cross section ice cover of internal waters 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Atwwod, D.K., Gunn, G.E., Roussi, C., Wu, J., Duguay, C., and Sarabandi, K., Microwave backscatter from Arctic Lake Ice and polarimetric implications, IEEE Trans. Geosci. Remote Sens., 2015, vol. 53, no. 11, pp. 5972–5982.CrossRefGoogle Scholar
  2. Freilich, M.H. and Vanhoff, B.A., The relation between winds, surface roughness, and radar backscatter at low incidence angles from TRMM Precipitation Radar measurements, J. Atmos. Ocean. Technol., 2003, vol. 20, no. 4, pp. 549–562.Google Scholar
  3. Gherboudj, I., Bernier, M., and Leconte, R., A backscatter modeling for river ice: Analysis and numerical results, IEEE Trans. Geosci. Remote Sens., 2010, pp. 788–1798.Google Scholar
  4. JAXA GPM Data Utilization Handbook, JAXA, 2014.Google Scholar
  5. Karaev, V.Yu., Panfilova, M.A., and Balandina, G.N., Algorithms for the retrieval of variance of slopes and average wave period from nadir sounding data, in X Otkr. vser. konf. “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa”, 12–16 noyabrya 2012. Tez. dokl. CD-disk (Abstracts of the X Open All-Russian Conference “Current Problems of Remote Sensing of the Earth from Space”, November 12–16, 2012, CD-ROM), Moscow: IKI, 2012a, p. 265.Google Scholar
  6. Karaev, V.Yu., Panfilova, M.A., Balandina, G.N., and Chu, K., Retrieval of variance of inclinations of largescale waves from radar measurements in the microwave band, Issled. Zemli Kosmosa, 2012b, no. 4, pp. 62–77.Google Scholar
  7. Karaev, V., Meshkov, E., Chu, X., He, Y., Simulation of full-scale backscattering measurements of a radar with a knife-edge beam by using radio probing data in the centimeter wavelength band, Radiophys. Quantum Electron., 2012c, vol. 54, no. 12, pp. 805–819.CrossRefGoogle Scholar
  8. Karaev, V., Meshkov, M., and Chu, X., Simulation of radar with knife-like antenna beam using precipitation radar data, Int. J. Remote Sens., 2013, vol. 34, no. 22, pp. 7906–7924.CrossRefGoogle Scholar
  9. Komarov, A., Isleifson, D., Barber, D., and Shafai, L., Modeling and measurement of C-band radar backscatter from snow-covered first-year sea ice, IEEE Trans. Geosci. Remote Sens., 2015, vol. 53, no. 7, pp. 4063–4078.CrossRefGoogle Scholar
  10. Li, L., Im, E., Connor, L., and Chang, P.S., Retrieving ocean surface wind speed from the TRMM precipita tion radar measurements, IEEE Trans. Geosci. Remote Sens., 2004, vol. 42, no. 6, pp. 1271–1282.CrossRefGoogle Scholar
  11. Nastavlenie gidrometeorologicheskim stantsiyam i postam (Guidance for Hydrometeorological Stations and Posts), vol. 7, part 1: Gidrometeorologicheskie nablyudeniya na ozerakh i vodokhranilishchakh (Hydrometeorological Observations on Lakes and Water Reservoirs), Leningrad: Gidrometeoizdat, 1973. http://docs. cntd.ru/document/1200095307.Google Scholar
  12. Panfilova, M.A., Karaev, V.Yu., and Balandina, G.N., Retrieval of the spatial distribution of wind velocity and variance of large-scale wave slopes in the PRradar swath, in X Otkr. vser. konf. “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa”, 12–16 noyabrya 2012. Tez. dokl. CD-disk (Abstracts of the X Open All-Russian Conference “Current Problems of Remote Sensing of the Earth from Space”, November 12–16, 2012, CD-ROM), Moscow: IKI, 2012, p. 286.Google Scholar
  13. Radiolokatsionnye metody i sredstva operativnogo distantsionnogo zondirovaniya Zemli s aerokosmicheskikh nositelei (Radar Methods and Tools for Operational Remote Sensing of the Earth from Aerospace Carriers), Konyukhov, S.N., Dranovskii, V.I., and Tsymbal, V.N., Eds., Kiev: ANTTs Aviadiagnostika, 2007.Google Scholar
  14. Rees, G., Remote Sensing of Snow and Ice, Taylor and Francis, 2006.Google Scholar
  15. Tran, N., Chapron, B., and Vandemark, D., Effects of long waves on Ku-band ocean radar backscatter at low incidence angles using TRMM and altimeter data, IEEE Trans. Geosci. Remote Sens., 2007, vol. 4, no. 4, pp. 542–546.CrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Ltd. 2017

Authors and Affiliations

  • V. Yu. Karaev
    • 1
  • M. A. Panfilova
    • 1
  • Yu. A. Titchenko
    • 1
  • E. M. Meshkov
    • 1
  • G. N. Balandina
    • 1
  • Z. V. Andreeva
    • 2
  1. 1.Institute of Applied PhysicsRussian Academy of SciencesNizhny NovgorodRussia
  2. 2.State Research Center for Space Hydrometeorology PlanetaRoshydrometMoscowRussia

Personalised recommendations