HAO Guanghua, SU Jie. A study of multiyear ice concentration retrieval algorithms using AMSR-E data[J]. Acta Oceanologica Sinica, 2015, 34(9): 102-109. doi: 10.1007/s13131-015-0656-1
Citation: HAO Guanghua, SU Jie. A study of multiyear ice concentration retrieval algorithms using AMSR-E data[J]. Acta Oceanologica Sinica, 2015, 34(9): 102-109. doi: 10.1007/s13131-015-0656-1

A study of multiyear ice concentration retrieval algorithms using AMSR-E data

doi: 10.1007/s13131-015-0656-1
  • Received Date: 2014-09-19
  • Rev Recd Date: 2015-03-23
  • In recent years, the rapid decline of Arctic sea ice area (SIA) and sea ice extent (SIE), especially for the multiyear (MY) ice, has led to significant effect on climate change. The accurate retrieval of MY ice concentration retrieval is very important and challenging to understand the ongoing changes. Three MY ice concentration retrieval algorithms were systematically evaluated. A similar total ice concentration was yielded by these algorithms, while the retrieved MY sea ice concentrations differs from each other. The MY SIA derived from NASA TEAM algorithm is relatively stable. Other two algorithms created seasonal fluctuations of MY SIA, particularly in autumn and winter. In this paper, we proposed an ice concentration retrieval algorithm, which developed the NASA TEAM algorithm by adding to use AMSR-E 6.9 GHz brightness temperature data and sea ice concentration using 89.0 GHz data. Comparison with the reference MY SIA from reference MY ice, indicates that the mean difference and root mean square (rms) difference of MY SIA derived from the algorithm of this study are 0.65×106 km2 and 0.69×106 km2 during January to March, -0.06×106 km2 and 0.14×106 km2 during September to December respectively. Comparison with MY SIE obtained from weekly ice age data provided by University of Colorado show that, the mean difference and rms difference are 0.69×106 km2 and 0.84×106 km2, respectively. The developed algorithm proposed in this study has smaller difference compared with the reference MY ice and MY SIE from ice age data than the Wang's, Lomax' and NASA TEAM algorithms.
  • loading
  • Armour K C, Bitz C M, Thompson L, et al. 2011. Controls on Arctic sea ice from First-year and multiyear ice survivability. Journal of Climate, 24(9): 2378-2390
    Bi Haibo, Huang Haijun, Su Qiao, et al. 2014. An Arctic sea ice thickness variability revealed from satellite altimetric measurements. Acta Oceanologica Sinica, 33(11): 134-140
    Cavalieri D J, Gloersen P, Campbell W J. 1984. Determination of sea ice parameters with the Nimbus 7 SMMR. J Geophys Res, 89(D4): 5355-5369
    Comiso J C. 2012. Large decadal decline of the arctic multiyear ice cover. Journal of Climate, 25(4): 1176-1193
    Comiso J C, Cavalieri D J, Markus T. 2003. Sea ice concentration, ice temperature, and snow depth using AMSR-E data. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 243-252
    Comiso J C, Hall D K. 2014. Climate trends in the Arctic as observed from space. Wiley Interdisciplinary Reviews Climate Change, 5(3): 389-409
    Comiso J C, Nishio F. 2008. Trends in the sea ice cover using enhanced and compatible AMSR-E, SSM/I, and SMMR data. J Geophys Res, 113: C02S07
    Comiso J C, Parkinson C L, Gersten R, et al. 2008. Accelerated decline in the Arctic sea ice cover. Geophys Res Lett, 35: L01703
    Fowler C, Emery W J, Maslanik J A. 2003. Satellite-derived evolution of arctic sea ice age: October1978 to March 2003. IEEE Trans Geosci Remote Sens Lett, 1(2): 71-74
    Kay J E, L'Ecuyer T, Gettelman A, et al. 2008. The contribution of cloud and radiation anomalies to the 2007 Arctic sea ice extent minimum. Geophys Res Lett, 35(8): L08503
    Kwok R, Rothrock D A. 2009. Decline in Arctic sea ice thickness from submarine and ICESat records: 1958-2008. Geophys Res Lett, 36(15): L15501
    Laine V, Manninen T, Riihelä A, et al. 2011. Shortwave broadband black-sky surface albedo estimation for Arctic sea ice using passive microwave radiometer data. J Geophys Res, 116(D16): D16124
    Laine V, Manninen T, Riihelä A. 2014. High temporal resolution estimations of the Arctic sea ice albedo during the melting and refreezing periods of the years 2003?2011. Remote Sens Environ, 140: 604-613
    Lindsay R W, Zhang J. 2005. The thinning of Arctic sea ice, 1988-2003: Have we passed a tipping point?. J Climate, 18: 4879-4894
    Lindsay R W, Zhang J, Schweiger A, et al. 2009. Arctic sea ice retreat in 2007 follows thinning trend. Journal of Climate, 22(1): 165-176
    Livina V N, Lenton T M. 2013. A recent tipping point the in Arctic seaice over: abrupt and persistent increase in the seasonal cycle since 2007. Cryosphere, 7(1): 275-286
    Lomax A S, Lubin D, Whritner R H. 1995. The potential for interpreting total and multiyear ice concentrations in SSM/I 85.5 GHz Imagery. Remote SensEnviron, 54(1): 13-26
    Maslanik J A, Fowler C, Stroeve J, et al. 2007. A younger, thinner Arctic ice cover: Increased potential for rapid, extensive sea-ice loss. GeophysRes Lett, 34(24): L24501
    Maslanik J, Stroeve J, Fowler C, et al. 2011. Distribution and trends in Arctic sea ice age through spring 2011. Geophys Res Lett, 38(13): L13502
    Nghiem S V, Rigor I G, Perovich D K, et al. 2007. Rapid reduction of Arctic perennial sea ice. Geophys Res Lett, 34(19): L19504
    Parkinson C L, Comiso J C. 2013. On the 2012 record low Arctic sea ice cover: Combined impact of preconditioning and an August storm. Geophys Res Lett, 40(7): 1356-1361
    Perovich D K, Richter-Menge J A. 2009. Loss of sea ice in the Arctic. Annu Rev Mar Sci, 1: 417-441
    Serreze M C, Holland M M, Stroeve J. 2007. Perspectives on the Arctic's shrinking sea-ice cover. Science, 315(5818): 1533-1536
    Spreen G, Kaleschke L, Heygster G. 2008. Sea ice remote sensing using AMSR-E 89-GHz channels. Journal of Geophysical Research, 113(C2): C02S03
    Stroeve J C, Markus T, Boisvert L, et al. 2014. Changes in Arctic melt season and implications for sea ice loss. Geophys Res Lett, 41(4): 1216-1225
    Svendsen E, Maitzler C, Grenfell T C. 1987. A model for retrieving total sea ice concentration from a spaceborne dual-polarized passive microwave instrument operating near 90 GHz. International Journal of Remote Sensing, 8(10): 1479-1487
    Tschudi M, Fowler C, Maslanik J, et al. 2010. Tracking the movement and changing surface characteristics of Arctic sea ice. IEEE J Selec Top Appl Earth Obs Remote Sens, 3(4): 536-540
    Tietsche S, Notz D, Jungclaus J H, et al. 2011. Recovery mechanisms of Arctic summer sea ice. Geophys Res Lett, 38(2): L02707.
    Vant M R, Ramseier R O, Makios V. 1978. The complex-dielectric constant of sea ice at frequencies in the range 0.1-40 GHz. Journal of Applied Physics, 49(3): 1264-1280
    Wang Huanhuan, Georg H, Han Shuzong, et al. 2009. Arctic multiyear ice concentration retrieval based on AMSR-E 89 GHz data. Chinese Journal of Polar Research (in Chinese), 21(3): 186-196
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1139) PDF downloads(1890) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint