Application of remotely piloted aircraft systems in observing the atmospheric boundary layer over Antarctic sea ice in winter

The main aim of this paper is to explore the potential of combining measurements from fixed- and rotary-wing remotely piloted aircraft systems (RPAS) to complement data sets from radio soundings as well as ship and sea-ice-based instrumentation for atmospheric boundary layer (ABL) profiling. This study represents a proof-of-concept of RPAS observations in the Antarctic sea-ice zone. We present first results from the RV Polarstern Antarctic winter expedition in the Weddell Sea in June–August 2013, during which three RPAS were operated to measure temperature, humidity and wind; a fixed-wing small unmanned meteorological observer (SUMO), a fixed-wing meteorological mini-aerial vehicle, and an advanced mission and operation research quadcopter. A total of 86 RPAS flights showed a strongly varying ABL structure ranging from slightly unstable temperature stratification near the surface to conditions with strong surface-based temperature inversions. The RPAS observations supplement the regular upper air soundings and standard meteorological measurements made during the campaign. The SUMO and quadcopter temperature profiles agree very well and, excluding cases with strong temperature inversions, 70% of the variance in the difference between the SUMO and quadcopter temperature profiles can be explained by natural, temporal, temperature fluctuations. Strong temperature inversions cause the largest differences, which are induced by SUMO's high climb rates and slow sensor response. Under such conditions, the quadcopter, with its slower climb rate and faster sensor, is very useful in obtaining accurate temperature profiles in the lowest 100 m above the sea ice.

[1]  C. Kottmeier,et al.  Atmospheric and oceanic forcing of Weddell Sea ice , 1996 .

[2]  D. Martinson,et al.  Drag coefficients for winter Antarctic pack ice , 1993 .

[3]  Jens Bange,et al.  First application of the meteorological Mini-UAV 'M2AV' , 2007 .

[4]  T. Vihma,et al.  Ice drift in the Weddell Sea in 1990–1991 as tracked by a satellite buoy , 1993 .

[5]  T. Vihma,et al.  Low-level jet characteristics over the Arctic Ocean in spring and summer , 2013 .

[6]  U. S. Army.  Simulations of Snow , Ice , and Near-Surface Atmospheric Processes on Ice Station Weddell , 2022 .

[7]  J. Cassano,et al.  Unmanned aircraft system measurements of the atmospheric boundary layer over Terra Nova Bay, Antarctica , 2012 .

[8]  Shelley L. Knuth,et al.  Observations of Antarctic Polynya With Unmanned Aircraft Systems , 2010 .

[9]  Pascal Brisset,et al.  The Small Unmanned Meteorological Observer SUMO: A new tool for atmospheric boundary layer research , 2009 .

[10]  K. Walsh.  Antarctic Meteorology and Climatology , 1998 .

[11]  F. Beyrich,et al.  Meteorological profiling of the lower troposphere using the research UAV "M 2 AV Carolo" , 2010 .

[12]  Joachim Reuder,et al.  The Small Unmanned Meteorological Observer SUMO: Recent developments and applications of a micro-UAS for atmospheric boundary layer research , 2012, Acta Geophysica.

[13]  Energy exchange over Antarctic sea ice in late winter , 1991 .

[14]  E. L. Andreas,et al.  Low-Level Atmospheric Jets And Inversions Over The Western Weddell Sea , 2000, Boundary-Layer Meteorology.

[15]  N. A. Zaitseva,et al.  Radiosonde Observations from the Former Soviet “North Pole” Series of Drifting Ice Stations, 1954–90 , 1999 .

[16]  E. L. Andreas,et al.  Air-ice drag coefficients in the western Weddell Sea: 1. Values deduced from profile measurements , 1995 .

[17]  Fridtjof Nansen,et al.  The polar oceans and their role in shaping the global environment : the Nansen centennial volume , 1994 .

[18]  T. Vihma,et al.  Characteristics of temperature and humidity inversions and low-level jets over Svalbard fjords in spring , 2011 .

[19]  T. Vihma,et al.  On the Surface Heat Fluxes in the Weddell Sea , 2013 .

[20]  E. L. Andreas.  Air‐ice drag coefficients in the western Weddell Sea: 2. A model based on form drag and drifting snow , 1995 .

[21]  John J. Cassano,et al.  Observations of atmospheric boundary layer temperature profiles with a small unmanned aerial vehicle , 2013, Antarctic Science.

[22]  Edgar L. Andreas,et al.  Parameterizing turbulent exchange over sea ice: the ice station weddell results , 2005 .

[23]  T. Vihma,et al.  Weddell Sea ice drift: Kinematics and wind forcing , 1996 .

[24]  Shelley L. Knuth,et al.  Estimating Sensible and Latent Heat Fluxes Using the Integral Method from in situ Aircraft Measurements , 2014 .

[25]  T. Vihma,et al.  Mesoscale Modeling of the Atmosphere over Antarctic Sea Ice: A Late-Autumn Case Study , 2008 .

[26]  Samuel J. Oltmans,et al.  Development and Validation of a Time-Lag Correction for Vaisala Radiosonde Humidity Measurements , 2004 .

[27]  Pascal Brisset,et al.  SUMO: A small unmanned meteorological observer for atmospheric boundary layer research , 2008 .

[28]  Pascal Brisset,et al.  A ‘No-Flow-Sensor’ Wind Estimation Algorithm for Unmanned Aerial Systems , 2012 .

[29]  T. Vihma,et al.  Validation of the diurnal cycles in atmospheric reanalyses over Antarctic sea ice , 2013 .

[30]  Arnold L. Gordon,et al.  Weddell Sea exploration from ice station , 1993 .

[31]  T. Vihma,et al.  Evaluation of Polar WRF from Modeling the Atmospheric Boundary Layer over Antarctic Sea Ice in Autumn and Winter , 2012 .