Abstract
The annual changes of seasons, their timing, and their variations from place to place reflect and drive many processes of geophysical import, as well as a wide range of human activities. In remote parts of the world, including the Arctic, knowledge and understanding of annual and interannual cycles has been limited by a paucity of observational data. Satellite observations promise to illuminate many relationships and underpin new theoretical understanding. Seasonal transitions on Arctic sea ice are especially germane to studies of global climate and links between high latitude and global geophysical processes.
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References
Aagaard K, Carmack EC (1994) The Arctic Ocean and climate: a perspective. AGU Geophys Monogr 85
Barber DG, LeDrew EF, Flett DG, Shokr M, Falkingham J (1992) Seasonal and diurnal variations in SAR signatures of landfast sea ice. IEEE Trans Geosci Remote Sens 30, no 3: 638–642
Beaven SG, Gogineni SP (1994) Shipborne radar backscatter measurements from Arctic sea ice during the fall freeze-up. Remote Sens Rev 9:3–25
Carlstrom A, Ulander LMH (1993) C-band backscatter signatures of old sea ice in the central Arctic during freeze-up. IEEE Trans Geosci Remote Sens 31, no 4: 819–829
Carsey F (1985) Summer Arctic sea ice character from satellite microwave data. J Geophys Res 90, no C3:5015–5034
Drinkwater MR, Early DS, Long DG (1994) ERS-i investigations of Southern Ocean sea ice geophysics using combined scatterometer and SAR images. Proc Int Geosci Remote Sens Symp IGARSS ’94, August 8-12, Pasadena, California, pp 165–167
Early DS, Long DG, Drinkwater MR (1994) Comparison of enhanced resolution images of Greenland from ERS-i and Seasat scatterometers. Proc Int Geosci Remote Sens Symp IGARSS ’94, August 8-12, Pasadena, California, pp 2382–2384
Ebert EE, Curry JA (1993) An intermediate one-dimensional thermodynamic sea ice model for investigating ice-atmosphere interactions. J Geophys Res 98, no C6: 10085–10109
Hallikainen M, Winebrenner DP (1992) The physical basis for sea ice remote sensing. In: Carsey FD (ed) Microwave remote sensing of sea ice, 478, American Geophysical Union, Washington, DC
Jaynes ET (1982) On the rationale of maximum-entropy methods. Proc IEEE 70, no 9: 939-952
Livingstone CE, Onstott RG, Arsenault LD, Gray AL, Singh KP (1987) Microwave sea ice signatures near the onset of melt. IEEE Trans Geosci Remote Sens 25, no 2: 159–173
Long DG, Drinkwater MR (1994) Greenland ice-sheet surface properties observed by the Seasat-A scatterometer at enhanced resolution. J Glaciol 40, no 135: 213–230
Long DG, Hardin PJ, Whiting PT (1993) Resolution enhancement of spaceborne scatterometer data. IEEE Trans Geosci Remote Sens 31, no 3:700–715
Long DG, Early DS, Drinkwater MR (1994) Enhanced resolution ERS-i scatterometer imaging of southern hemisphere polar ice. Proc Int Geosci Remote Sens Symp IGARSS ’94, August 8-12, Pasadena, California, pp 156–158
Maykut G, Untersteiner N (1971) Some results from a time dependent thermodynamic model of sea ice. J Geophys Res 76:1550–1575
Onstott RG (1992) SAR and scatterometer signatures of sea ice. In: Carsey FD (ed) Microwave remote sensing of sea ice, 478, American Geophysical Union, Washington, DC
Onstott RG, Grenfell TC, Mätzler C, Luther CA, Svendsen EA(1987) Evolution of microwave sea ice signatures during early summer and midsummer in the marginal ice zone. J Geophys Res 92, no C7: 6825–6835
Parkinson C (1992) Spatial patterns of increases and decreases in the length of the sea ice season in the north polar region 1979-1986. J Geophys Res 97, no C9:14377–14388
Percival DB, Walden AT (1993) Spectral analysis for physical applications. Cambridge University Press, Cambridge, UK
Scharfen G, Barry RG, Robinson DA, Kukla G, Serreze MC (1987) Large-scale patterns of snow melt on Arctic sea ice mapped from meteorological satellite imagery. Ann Glaciol 9: 200–205
Schwartz K, Jeffries MO, Li S (1994) Using ERS 1 SAR data to monitor the state of Arctic Ocean sea ice between spring and autumn 1992. Proc Int Geosci Remote Sens Symp IGARSS ’94, August 8-12, Pasadena, California, pp 1759–1762
Smith LC, Forster RR, Isacks BL, Hall DK (1997) Seasonal climatic forcing of alpine glaciers revealed with orbital synthetic aperture radar. J. Glaciol, in press
Winebrenner DP, Nelson ED, Colony R, West RD (1994) Observation of melt onset on multiyear Arctic sea ice using the ERS 1 synthetic aperture radar. J Geophys Res 99, no C11: 22425–22441
Winebrenner DP, Holt B, Nelson ED (1996) Observation of autumn freeze-up in theBeaufort and Chukchi Seas using the ERS 1 synthetic aperture radar. J Geophys Res 101, no C7:16401–16419
Wismann V,Cavanie A,Hoekman D,Woodhouse I,Boehnke K,Schmullius C (1996) Land surface observations using the ERS-i windscatterometer. Final Report for European Space Agency Contract 11103/94/NL/CN, Institute for Applied Remote Sensing,Wedel, Germany
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Winebrenner, D.P., Long, D.G., Holt, B. (1998). Mapping the Progression of Melt Onset and Freeze-Up on Arctic Sea Ice Using SAR and Scatterometry. In: Analysis of SAR Data of the Polar Oceans. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60282-5_7
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DOI: https://doi.org/10.1007/978-3-642-60282-5_7
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