Air-Deployed Microbuoy Measurement of Temperatures in the Marginal Ice Zone Upper Ocean during the MIZOPEX Campaign

Alice C. Bradley Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, Colorado

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Scott Palo Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, Colorado

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Gabriel LoDolce Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, Colorado

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Doug Weibel Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, Colorado

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Dale Lawrence Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, Colorado

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Abstract

Air-deployed microbuoys (ADMBs) were developed as a means of measuring subsurface temperatures in the marginal ice zone (MIZ) over campaign-duration time scales to better understand how MIZ surface layer heat content accelerates melt rates at the edge of the ice pack. ADMBs are small, low-cost buoys deployable from unmanned aircraft and are capable of measuring temperatures to 0.1°C absolute accuracy at the surface, 1-m, and 2-m depth, along with GPS position. Each ADMB contains a microcontroller, GPS, 900-MHz radio, flash electrically erasable programmable read-only memory (EEPROM), battery, and a set of temperature sensors to monitor conditions for up to 10 days. A communications board on an overflying aircraft autonomously deploys each ADMB and collects data from previously deployed ADMBs for analysis. The 2013 Marginal Ice Zone Observations and Processes Experiment (MIZOPEX) campaign deployed ADMBs into the summer melt season MIZ north of Oliktok Point, Alaska, collecting over 400 h of data from two clusters of buoys during the short field campaign. Initial results indicate that SST is a good measure of upper-ocean temperature in the MIZ when conditions are well mixed, but that is often not the case. In areas with higher ice concentration, surface temperatures tend to underestimate the temperature of the subsurface, while in areas of low ice concentration, SSTs overestimate the subsurface temperature.

Corresponding author address: Alice C. Bradley, Colorado Center for Astrodynamics Research, University of Colorado Boulder, ECNT 320, 431 UCB, Boulder, CO 80309-0431. E-mail: alice.bradley@colorado.edu

Abstract

Air-deployed microbuoys (ADMBs) were developed as a means of measuring subsurface temperatures in the marginal ice zone (MIZ) over campaign-duration time scales to better understand how MIZ surface layer heat content accelerates melt rates at the edge of the ice pack. ADMBs are small, low-cost buoys deployable from unmanned aircraft and are capable of measuring temperatures to 0.1°C absolute accuracy at the surface, 1-m, and 2-m depth, along with GPS position. Each ADMB contains a microcontroller, GPS, 900-MHz radio, flash electrically erasable programmable read-only memory (EEPROM), battery, and a set of temperature sensors to monitor conditions for up to 10 days. A communications board on an overflying aircraft autonomously deploys each ADMB and collects data from previously deployed ADMBs for analysis. The 2013 Marginal Ice Zone Observations and Processes Experiment (MIZOPEX) campaign deployed ADMBs into the summer melt season MIZ north of Oliktok Point, Alaska, collecting over 400 h of data from two clusters of buoys during the short field campaign. Initial results indicate that SST is a good measure of upper-ocean temperature in the MIZ when conditions are well mixed, but that is often not the case. In areas with higher ice concentration, surface temperatures tend to underestimate the temperature of the subsurface, while in areas of low ice concentration, SSTs overestimate the subsurface temperature.

Corresponding author address: Alice C. Bradley, Colorado Center for Astrodynamics Research, University of Colorado Boulder, ECNT 320, 431 UCB, Boulder, CO 80309-0431. E-mail: alice.bradley@colorado.edu
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  • Barber, D. G., and Coauthors, 2009: Perennial pack ice in the southern Beaufort Sea was not as it appeared in the summer of 2009. Geophys. Res. Lett.,36, L24501, doi:10.1029/2009GL041434.

  • Bradley, A. C., Palo S. , Zappa C. , LoDolce G. , Weibel D. , and Lawrence D. , 2014: Observations of wind-induced motion in the Arctic Marginal Ice Zone. 2014 Fall Meeting, San Francisco, CA, Amer. Geophys. Union, Abstract C11A-0337.

  • Digi International, 2012: XBee-PRO 900HP/XBee-PRO XSC RF modules. Doc. 90002173_B, 146 pp.

  • Emery, W. J., Good W. S. , Tandy W. , Izaguirre M. A. , and Minnett P. J. , 2014: A microbolometer airborne calibrated infrared radiometer: The Ball Experimental Sea Surface Temperature (BESST) radiometer. IEEE Trans. Geosci. Remote Sens., 52, 77757781, doi:10.1109/TGRS.2014.2318683.

    • Search Google Scholar
    • Export Citation
  • Jackson, K., Wilkinson J. , Maksym T. , Meldrum D. , Beckers J. , Haas C. , and Mackenzie D. , 2013: A novel and low-cost sea ice mass balance buoy. J. Atmos. Oceanic Technol., 30, 26762688, doi:10.1175/JTECH-D-13-00058.1.

    • Search Google Scholar
    • Export Citation
  • Krabill, W., and Buzay E. , 2012: IceBridge KT19 IR surface temperature. NASA DAAC at the National Snow and Ice Data Center, Boulder, CO. Accessed 1 September 2014. [Available online at http://nsidc.org/data/iakst1b.]

  • Krishfield, R., Toole J. , Proshutinsky A. , and Timmermans M.-L. , 2008: Automated ice-tethered profilers for seawater observations under pack ice in all seasons. J. Atmos. Oceanic Technol., 25, 20912105, doi:10.1175/2008JTECHO587.1.

    • Search Google Scholar
    • Export Citation
  • Lubin, D., and Massom R. A. , 2006: Atmosphere and Oceans. Vol. 1, Polar Remote Sensing, Geophysical Sciences, Praxis Publishing Ltd., 897 pp.

  • Millero, F. J., and Huang F. , 2009: The density of seawater as a function of salinity (5 to 70 g kg−1) and temperature (273.15 to 363.15K). Ocean Sci., 5, 91100, doi:10.5194/os-5-91-2009.

    • Search Google Scholar
    • Export Citation
  • Palo, S., Weibel D. , Lawrence D. , LoDolce G. , Bradley A. , Adler J. , and Maslanik J. , 2013: First results from UAS deployed ocean sensor systems during the 2013 MIZOPEX Campaign. 2013 Fall Meeting, San Francisco, CA, Amer. Geophys. Union, Abstract C13C-0689.

  • Perovich, D. K., Light B. , Eicken H. , Jones K. F. , Runciman K. , and Nghiem S. V. , 2007: Increasing solar heating of the Arctic Ocean and adjacent seas, 1979–2005: Attribution and role in the ice-albedo feedback. Geophys. Res. Lett.,34, L19505, doi:10.1029/2007GL031480.

  • Perovich, D. K., and Coauthors, 2011: Arctic sea-ice melt in 2008 and the role of solar heating. Ann. Glaciol., 52, 355359, doi:10.3189/172756411795931714.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., Smith T. M. , Liu C. , Chelton D. B. , Casey K. S. , and Schlax M. G. , 2007: Daily high-resolution-blended analyses for sea surface temperature. J. Climate, 20, 54735496, doi:10.1175/2007JCLI1824.1.

    • Search Google Scholar
    • Export Citation
  • Richter-Menge, J. A., Perovich D. K. , Elder B. C. , Claffey K. , Rigor I. , and Ortmeyer M. , 2006: Ice mass-balance buoys: A tool for measuring and attributing changes in the thickness of the Arctic sea-ice cover. Ann. Glaciol., 44, 205210, doi:10.3189/172756406781811727.

    • Search Google Scholar
    • Export Citation
  • Rienecker, M. M., and Coauthors, 2011: MERRA: NASAs Modern-Era Retrospective Analysis for Research and Applications. J. Climate, 24, 36243648, doi:10.1175/JCLI-D-11-00015.1.

    • Search Google Scholar
    • Export Citation
  • Rigor, I. G., and Polar Science Center, 2002: IABP drifting buoy pressure, temperature, position, and interpolated ice velocity. National Snow and Ice Data Center, Boulder, CO, accessed 1 September 2014, doi:10.7265/N53X84K7.

  • Rigor, I. G., Wallace J. M. , and Colony R. L. , 2002: Response of sea ice to the Arctic Oscillation. J. Climate, 15, 26482663, doi:10.1175/1520-0442(2002)015<2648:ROSITT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Insitu Inc., 2011: ScanEagle backgrounder. Doc. PR092211, accessed 23 February 2013, 7 pp.

  • Squire, V., 2007: Of ocean waves and sea-ice revisited. Cold Reg. Sci. Technol., 49, 110133, doi:10.1016/j.coldregions.2007.04.007.

  • Steele, M., Ermold W. , and Zhang J. , 2008: Arctic Ocean surface warming trends over the past 100 years. Geophys. Res. Lett.,35, L02614, doi:10.1029/2007GL031651.

  • Steele, M., Rigor I. G. , and Ermold W. , 2012: The first in situ high resolution SST observations in the Arctic Ocean. 2012 Ocean Sciences Meeting, Salt Lake City, UT, Amer. Geophys. Union, Abstract 10081.

  • Steele, M., Rigor I. G. , Colburn K. , Ermold W. , and Ortmeyer M. , 2014: UpTempO preliminary data. Polar Science Center, Applied Physics Laboratory, University of Washington, accessed 15 July 2014. [Available online at http://psc.apl.washington.edu/UpTempO/UpTempO.php.]

  • Strong, C., 2012: Atmospheric influence on Arctic marginal ice zone position and width in the Atlantic sector, February–April 1979–2010. Climate Dyn., 39, 30913102, doi:10.1007/s00382-012-1356-6.

    • Search Google Scholar
    • Export Citation
  • Timmermans, M.-L., Proshutinsky A. , Krishfield R. A. , Perovich D. K. , Richter-Menge J. A. , Stanton T. P. , and Toole J. M. , 2011: Surface freshening in the Arctic Ocean’s Eurasian Basin: An apparent consequence of recent change in the wind-driven circulation. J. Geophys. Res., 116, C00D03, doi:10.1029/2011JC006975.

    • Search Google Scholar
    • Export Citation
  • Toole, J. M., Timmermans M.-L. , Perovich D. K. , and Krishfield R. A. , Proshutinsky A. , and Richter-Menge J. A. , 2010: Influences of the ocean surface mixed layer and thermohaline stratification on Arctic Sea ice in the central Canada Basin. J. Geophys. Res.,115, C10018, doi:10.1029/2009JC005660.

  • Toole, J. M., Krishfield R. A. , Timmermans M.-L. , and Proshutinsky A. , 2011: The Ice-Tethered Profiler: Argo of the Arctic. Oceanography, 24, 126135, doi:10.5670/oceanog.2011.64.

    • Search Google Scholar
    • Export Citation
  • UTC Aerospace Systems, 2014: Cloud Cap Technology Piccolo SL. Data Sheet, 2 pp. [Available online at http://www.cloudcaptech.com/Sales%20and%20Marketing%20Documents/Piccolo%20SL%20Data%20Sheet.pdf.]

  • Vishay Intertechnology Inc., 2012: SMD 0805, glass protected NTC thermistors. NTCS0805E3… .T, Doc. 29044, 8 pp. [Available online at http://www.vishay.com/docs/29044/ntcs0805e3t.pdf.]

  • Wentz, F. J., and Meissner T. , 2004: AMSR-E/Aqua L2B global swath ocean products derived from Wentz algorithm. NASA DAAC at the National Snow and Ice Data Center, Boulder, CO. Accessed 1 September 2014, doi:10.5067/AMSR-E/AE_OCEAN.002.

  • Zappa, C., and Coauthors, 2013: Local effects of ice floes on skin sea surface temperature in the Marginal Ice Zone. 2013 Fall Meeting, San Francisco, CA, Amer. Geophys. Union, Abstract OS14A-04.

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