The Influence of Surface Sediment Presence on Observed Passive Microwave Brightness Temperatures of First-Year Sea Ice during the Summer Melt Period

Abstract Knowledge on the influence of sea ice sediment on passive microwave brightness temperatures (TB) is currently limited, leading to potential inaccuracies in derived sea ice concentrations where this ice exists. We propose that sediment may influence TB in two ways: (i) by altering the surface dielectrics, or (ii) by generating differential melt rates across the ice surface, increasing surface roughness. This study will examine the second proposed hypothesis through a multi-platform analysis, combining in-situ passive microwave and unmanned aerial vehicle (UAV) data. UAV image analysis shows a negative relationship between surface elevation and sediment concentration. Comparing this with observed TB shows that horizontally polarized emissions are the most sensitive to rougher ice surfaces with 19 and 37 GHz TB decreasing rapidly with increased incidence angle. At a 55° incidence angle, 89 GHz offers the greatest potential for discriminating sea ice surfaces influenced by sediment presence, as TB are greater in both polarizations in comparison with non-sediment-laden ice. Results from this research provide evidence for a relationship between sea ice surface sediment and passive microwave signature, meriting future research in this field.

[1]  C. Wentworth A Scale of Grade and Class Terms for Clastic Sediments , 1922, The Journal of Geology.

[2]  J. Caley The Hudson Bay Lowland , 1947 .

[3]  N. Campbell,et al.  The Discoloration of Foxe Basin Ice , 1958 .

[4]  C. Swift,et al.  Microwave remote sensing , 1980, IEEE Antennas and Propagation Society Newsletter.

[5]  D. Fox,et al.  Ice Rafting of Fine-Grained Sediment, a Sorting and Transport Mechanism, Beaufort Sea, Alaska , 1982 .

[6]  F. Carsey Summer Arctic sea ice character from satellite microwave data , 1985 .

[7]  T. Grenfell,et al.  Temporal variations of the microwave signatures of sea ice during the late spring and early summer near Mould Bay NWT , 1985 .

[8]  J. Comiso,et al.  Multifrequency Passive Microwave Observations of First-Year Sea Ice Grown in a Tank , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[9]  A. Fung,et al.  Microwave Remote Sensing Active and Passive-Volume III: From Theory to Applications , 1986 .

[10]  T. Grenfell,et al.  Variations in brightness temperature over cold first-year sea ice near Tuktoyaktuk, Northwest Territories , 1986 .

[11]  P. Aagaard,et al.  Study of particulate material in sea ice in the Fram Strait ‐ a contribution to paleoclimatic research? , 1987 .

[12]  E. Svendsen,et al.  Evolution of microwave sea ice signatures during early summer and midsummer in the marginal ice zone , 1987 .

[13]  P. Barnes,et al.  Anchor ice, seabed freezing, and sediment dynamics in shallow Arctic Seas , 1987 .

[14]  S. Ackley,et al.  Passive microwave in situ observations of Winter Weddell Sea ice , 1989 .

[15]  J. Gascard,et al.  Particle-laden Eurasian Arctic sea ice: observations from July and August 1987 , 1989 .

[16]  K. McDougall,et al.  Sediment Export by Ice Rafting from a Coastal Polynya, Arctic Alaska, U.S.A. , 1993 .

[17]  S. Pfirman,et al.  The Impact of Sediment-Laden Snow and Sea Ice in the Arctic on Climate , 1997 .

[18]  T. Grenfell,et al.  The effect of included participates on the spectral albedo of sea ice , 1998 .

[19]  A. Gow,et al.  Physical characteristics of summer sea ice across the Arctic Ocean , 1999 .

[20]  K. Asmus,et al.  Surface Based Radiometer (SBR) Data Acquisition System , 1999 .

[21]  Thorsten Markus,et al.  An enhancement of the NASA Team sea ice algorithm , 2000, IEEE Trans. Geosci. Remote. Sens..

[22]  E. Wood,et al.  Characteristics and Trends of River Discharge into Hudson, James, and Ungava Bays, 1964–2000 , 2005 .

[23]  A. Gagnon,et al.  Climate Change Scenarios for the Hudson Bay Region: An Intermodel Comparison , 2005 .

[24]  H. Melling,et al.  Sediment transport by sea ice in the Chukchi and Beaufort Seas: Increasing importance due to changing ice conditions? , 2005 .

[25]  H. Eickena,et al.  Sediment transport by sea ice in the Chukchi and Beaufort Seas : Increasing importance due to changing ice conditions ? , 2005 .

[26]  Albin J. Gasiewski,et al.  Impact of Surface Roughness on AMSR-E Sea Ice Products , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[27]  M. Haller,et al.  Mapping sediment-laden sea ice in the Arctic using AVHRR remote-sensing data: Atmospheric correction and determination of reflectances as a function of ice type and sediment load , 2007 .

[28]  L. Kaleschke,et al.  Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice , 2007 .

[29]  A. Gagnon,et al.  Trends in the Dates of Ice Freeze-up and Breakup over Hudson Bay, Canada , 2010 .

[30]  Sungwook Hong Detection of small-scale roughness and refractive index of sea ice in passive satellite microwave remote sensing , 2010 .

[31]  J. Nishioka,et al.  Nutrient distributions associated with snow and sediment-laden layers in sea ice of the southern Sea of Okhotsk , 2010 .

[32]  Deborah K. Smith,et al.  Passive Microwave Remote Sensing of the Ocean: An Overview , 2010 .

[33]  Kamal Sarabandi,et al.  Microwave Radar and Radiometric Remote Sensing , 2013 .

[34]  P. Gloersen,et al.  Passive Microwave Signatures of Sea Ice , 2013 .

[35]  C. Garrity Characterization of Snow on Floating Ice and Case Studies of Brightness Temperature Changes During the Onset of Melt , 2013 .

[36]  M. H. Savoie,et al.  A long-term and reproducible passive microwave sea ice concentration data record for climate studies and monitoring , 2013 .

[37]  M. Lozier,et al.  Examining the global record of interannual variability in stratification and marine productivity in the low-latitude and mid-latitude ocean , 2013 .

[38]  D. Barber,et al.  Surface and melt pond evolution on landfast first‐year sea ice in the Canadian Arctic Archipelago , 2014 .

[39]  Shengli Wu,et al.  Inter-Calibration of Satellite Passive Microwave Land Observations from AMSR-E and AMSR2 Using Overlapping FY3B-MWRI Sensor Measurements , 2014, Remote. Sens..

[40]  D. Barber,et al.  An Update on the Ice Climatology of the Hudson Bay System , 2014 .

[41]  Marko A. Hofmann Searching for effects in big data: Why p-values are not advised and what to use instead , 2015, 2015 Winter Simulation Conference (WSC).

[42]  S. Kern,et al.  Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations , 2015 .

[43]  D. Barber,et al.  Sub-pixel evaluation of sea ice roughness using AMSR-E data , 2015 .

[44]  J. Ryan,et al.  UAV photogrammetry and structure from motion to assess calving dynamics at Store Glacier, a large outlet draining the Greenland ice sheet , 2015 .

[45]  S. Kern,et al.  The EUMETSAT sea ice concentration climate data record , 2016 .

[46]  D. Barber,et al.  Climate change and sea ice: Shipping accessibility on the marine transportation corridor through Hudson Bay and Hudson Strait (1980–2014) , 2017 .

[47]  E. Bernard,et al.  Investigating snowpack volumes and icing dynamics in the moraine of an Arctic catchment using UAV photogrammetry , 2017 .

[48]  William J. Emery,et al.  Submesoscale Sea Surface Temperature Variability from UAV and Satellite Measurements , 2017, Remote. Sens..

[49]  T. Krumpen,et al.  Sediment entrainment into sea ice and transport in the Transpolar Drift: A case study from the Laptev Sea in winter 2011/2012 , 2017 .

[50]  J. Comiso,et al.  Variability and trends in the Arctic Sea ice cover: Results from different techniques , 2017 .

[51]  S. Kern,et al.  Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records , 2018, The Cryosphere.