Evaluation of Operation IceBridge quick-look snow depth estimates on sea ice

Article English OPEN
King, Joshua ; Howell, Stephen ; Derksen, Chris ; Rutter, Nick ; Toose, Peter ; Beckers, Justin ; Haas, Christian ; Kurtz, Nathan ; Richter-Menge, Jacqueline (2015)

We evaluate Operation IceBridge (OIB) ‘quick-look’ (QL) snow depth on sea ice retrievals using in situ measurements taken over immobile first-year ice (FYI) and multi-year ice (MYI) during March of 2014. Good agreement was found over undeformed FYI (-4.5 cm mean bias) with reduced agreement over deformed FYI (-6.6 cm mean bias). Over MYI, the mean bias was -5.7 cm but 54% of retrievals were discarded by the OIB retrieval process as compared to only 10% over FYI. Footprint scale analysis revealed a root mean square error (RMSE) of 6.2 cm over undeformed FYI with RMSE of 10.5 cm and 17.5 cm in the more complex deformed FYI and MYI environments. Correlation analysis was used to demonstrate contrasting retrieval uncertainty associated with spatial aggregation and ice surface roughness.
  • References (29)
    29 references, page 1 of 3

    Armitage, T. W. K., and A. L. Ridout (2015), Arctic sea ice freeboard from AltiKa and comparison with CryoSat-2 and Operation IceBridge, Geophys. Res. Lett., 42, 6724-6731, doi:10.1002/2015GL064823.

    Beckers, J. F., C. Haas, B. Elder, C. Hiemstra, R. Tilling, and T. W. K. Armitage (2015), CryoVEx2014-In-situ measurements at MIZ/ONR and NORD (Greenland) ice camps, ESA Ground Team Report, ESA contract 4000110552/14/MP/vb, 46 pp.

    Brucker, L., and T. Markus (2013), Arctic-scale assessment of satellite passive microwave-derived snow depth on sea ice using Operation IceBridge airborne data, J. Geophys. Res. Oceans, 118, 2892-2905, doi:10.1002/jgrc.20228.

    Comiso, J. C., D. J. Cavalieri, and T. Markus (2003), Sea ice concentration, ice temperature, and snow depth using AMSR-E data, IEEE Trans. Geosci. Remote Sens., 41(2), 243-252, doi:10.1109/TGRS.2002.808317.

    Dominguez, R. (2010), IceBridge POS/AV L1B corrected position and attitude data (2014), NASA DAAC at the Natl. Snow and Ice Data Cent., Boulder, Colo., doi:10.5067/XILTNL9F1HCR. [Updated 2015.]

    Farrell, S. L., N. Kurtz, L. N. Connor, B. C. Elder, C. Leuschen, T. Markus, D. C. McAdoo, B. Panzer, J. Richter-Menge, and J. G. Sonntag (2012), A first assessment of IceBridge snow and ice thickness data over Arctic sea ice, IEEE Trans. Geosci. Remote Sens., 50(6), 2098-2111, doi:10.1109/TGRS.2011.2170843.

    Giles, K. A., S. W. Laxon, D. J. Wingham, D. W. Wallis, W. B. Krabill, C. J. Leuschen, D. McAdoo, S. S. Manizade, and R. K. Raney (2007), Combined airborne laser and radar altimeter measurements over the Fram Strait in May 2002, Remote Sens. Environ., 111(2), 182-194, doi:10.1016/j.rse.2007.02.037.

    Gill, J. P. S., and J. J. Yackel (2012), Evaluation of C-band SAR polarimetric parameters for discrimination of first-year sea ice types, Can. J. Remote Sens., 38(3), 306-323, doi:10.5589/m12-025.

    Holt, B., M. P. Johnson, D. Perkovic-Martin, and B. Panzer (2015), Snow depth on Arctic sea ice derived fromradar: In situ comparisons and time series analysis, J. Geophys. Res. Oceans, 120, 4260-4287, doi:10.1002/2015JC010815.

    Iacozza, J., and D. G. Barber (1999), An examination of the distribution of snow on sea ice, Atmos. Ocean, 37(1), 21-51, doi:10.1080/ 07055900.1999.9649620.

  • Related Research Results (1)
    Inferred
    Arctic Sea Ice (2016)
    43%
  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    52
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    Northumbria Research Link - IRUS-UK 0 52
Share - Bookmark