Alfred Wegener Institute

Airborne EM ice thickness

Airborne Electromagnetic Induction Estimates of Ice plus Snow Thickness

Organizations
Alfred Wegener Institute for Polar and Marine Research
and York University
Providers 
Christian Haas, Stefan Hendricks, Thomas Krumpen and collaborators for various research campaigns.                     
Principal contacts

Dr Christian Haas, email: chaas at awi.de

Dr. Stefan Hendricks, email: stefan.hendricks at awi.de

Dr.Thomas Krumpen thomas.krumpen at awi.de

Methodology

Airborne electromagnetic induction measures snow+ice thickness

EM sounding is a classical geophysical method to detect the distance between an EM instrument and the boundary between the resistive sea ice and the conductive sea water, i.e. its altitude above the ice/water-interface. The method is based on measurements of the amplitude and phase of a secondary EM field induced in the seawater by a primary field transmitted by the EM instrument. Surveys are usually performed with a towed sensor package, which is operated some tens of meters below the aircraft and 20 m above the ice. The Bird’s altitude above the snow or ice surface is measured with a laser altimeter. Ice-plus-snow thickness results from the difference between the altitude above the ice/water-interface and above the snow or ice surface [Haas et al., 2009]. The accuracy of EM measurements is ±0.1 m over level ice [Pfaffling et al., 2007; Haas et al., 2009]. However, the maximum thickness of pressure ridges is generally underestimated due to their porosity and the EM footprint diameter of up to 3.7 times the instrument altitude [Reid et al., 2006]. The measured thickness of unconsolidated ridges can be less than 50% of the “true” thickness [e.g., Haas and Jochmann, 2003]. Therefore, the measured thickness distributions are most accurate with respect to their modal thickness, while mean ice thickness can still be used for relative comparisons between regions and campaigns.

Location
Arctic Ocean and Fram Strait
Time interval
2001-2025
Data processing notes

Data were either provided by investigators directly to Ron Lindsay or Axel Schweiger or downloaded from the Pangaea archive.

Data were processed and calibrated by the data set Author. Statistical summaries and PDFs for 50-km clusters were computed and by R. Lindsay and Axel Schweiger, PSC, from the point data. Where the tracks overlap or bend, more than 50 km of track is included in many clusters. When flights spaned a few days in a small region, the flights were combined when the clusters were formed.

Number of samples
11542954 point measurements, 1395 cluster averages, 53 campaigns
Versions
V20250930: Updated and added multiple campaigns that had been missing from previous versions. 

Point data

Some of the point data were reformated so that the formats are uniform for the different files and missing values are removed. There are 11 columns of data, the variables are ['year','mth','dom','yday','hour','lat','lon', 'fid', 'dist', 'alt','thick'], and the format is '(4i5,3f11.5,i7, f9.1, 2f9.3 )'. Some variables are set to constants in some of the files.

year = year of observation
month = month
dom = day of month
yday = year day
hour = GMT hour
lat = degrees north
lon = degrees east
fid = sequential observation identifier
dist = dist from the start of each flight leg (km)
alt = instrument altitude (m)
thick = sea ice thickness (m) [ this is snow + ice for EM  

Citations

Method (use this one as a general reference if you use the data):
Haas, C., Lobach, J., Hendricks, S., Rabenstein, L., Pfaffling, A. (2009). Helicopter-borne measurements of sea ice thickness, using a small and lightweight, digital EM system, Journal of Applied Geophysics, 67(3), 234-241.

AWI EM IceBird program info  

https://www.awi.de/en/science/climate-sciences/sea-ice-physics/projects/ice-bird.html

Documenation

Individual Campaigns with AWI designation corresponding Thickness CDR abbreviation, duration and info can be found in this table (Excel spread sheet, csv file)                      

Other citations:

Pfaffling, A., Haas, C., Reid, J. E. (2007). A direct helicopter EM sea ice thickness inversion, assessed with synthetic and field data, Geophysics, 72, F127-F137.

Krumpen, T., von Albedyll, L., Bünger, H.J. et al. Smoother sea ice with fewer pressure ridges in a more dynamic Arctic. Nat. Clim. Chang. 15, 66–72 (2025). https://doi.org/10.1038/s41558-024-02199-5

von Albedyll, Luisa; Haas, Christian; Grodofzig, Raphael (2021): EM-Bird ice thickness measurements in the Transpolar Drift during MOSAiC 2019/2020, part 1. PANGAEA, https://doi.org/10.1594/PANGAEA.934578

 

Acknowledgements

German Federal Ministry of Education and Research, National Science Foundation, NSERC Canada (Natural Sciences and Engineering Research Council), Canada Research Chair Program CRC, York University, University of Alberta

 

Diagram of airborne electromagnetic induction measurement system

airboren em diagram

 

Map of the location of each cluster from each campaign

Campaigns mapped individually

nothing here

Date of each campaign

 

Boxplots of ice thickness for each cluster for each campaign (incomplete for recent updates)

ARF17 box plots
Ark 19 box plots
Ark 20 box plots
Ark 22 box plots
GreenICE 04 box plots
GreenICE 05 box plots
CryoVex 06 box plots
NP 04 box plots
   

Box plots show the median (black) and the 5th, 25th, 75th, and 95th percentile values for each cluster of each campaign. The star marks the mode. Click on an image to see an enlarged view.