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
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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.
Keywordsdual-frequency precipitation radar remote sensing backscattered radar specific cross section ice cover of internal waters
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- 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
- 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
- JAXA GPM Data Utilization Handbook, JAXA, 2014.Google Scholar
- 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
- 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
- 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
- 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
- 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
- Rees, G., Remote Sensing of Snow and Ice, Taylor and Francis, 2006.Google Scholar