Next Article in Journal
Impacts of the Kuroshio and Tidal Currents on the Hydrological Characteristics of Yilan Bay, Northeastern Taiwan
Previous Article in Journal
Near-Surface Air Temperature Retrieval Using a Deep Neural Network from Satellite Observations over South Korea
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 13
Issue 21
10.3390/rs13214335
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data

by
Hans Jakob Belter
1,*,
Thomas Krumpen
1,
Markus A. Janout
1,
Ed Ross
2 and
Christian Haas
1,3
1
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
2
ASL Environmental Sciences Inc., Saanichton, BC V8M 1Z5, Canada
3
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(21), 4335; https://doi.org/10.3390/rs13214335
Submission received: 15 September 2021 / Revised: 23 October 2021 / Accepted: 26 October 2021 / Published: 28 October 2021
(This article belongs to the Section Ocean Remote Sensing)
Browse Figures
Review Reports Versions Notes

Abstract

Moored upward-looking Acoustic Doppler Current Profilers (ADCPs) can be used to observe sea ice draft. While previous studies relied on the availability of auxiliary pressure sensors to measure the instrument depth of the ADCP, we present an adaptive approach that infers instrument depth from ADCP bottom track (BT) mode measurements of error velocity and range. The ADCP-derived ice draft time series are validated with data from adjacent Upward-Looking Sonar (ULS) moorings. We demonstrate that this method can be used to obtain daily mean sea ice draft time series that, on average, are within 20% of ULS-derived draft time series. ULS and ADCP ice draft time series were observed by four moorings in the Laptev Sea and show correlations between 0.7 and 0.9. This new approach is not a substitute for high-frequency, high-precision ULS measurements of ice draft but it provides a low-cost opportunity to derive daily mean ice draft time series accessing existing ADCP data that have not been not used for that purpose to date. This method has the potential to close data gaps and extend existing ice draft time series in all ice-covered regions and supports the validation of sea ice thickness products from satellite missions such as CryoSat-2, SMOS or ENVISAT.
Keywords: sea ice thickness; sonar; Laptev Sea sea ice thickness; sonar; Laptev Sea

Share and Cite

MDPI and ACS Style

Belter, H.J.; Krumpen, T.; Janout, M.A.; Ross, E.; Haas, C. An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data. Remote Sens. 2021, 13, 4335. https://doi.org/10.3390/rs13214335

AMA Style

Belter HJ, Krumpen T, Janout MA, Ross E, Haas C. An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data. Remote Sensing. 2021; 13(21):4335. https://doi.org/10.3390/rs13214335

Chicago/Turabian Style

Belter, Hans Jakob, Thomas Krumpen, Markus A. Janout, Ed Ross, and Christian Haas. 2021. "An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data" Remote Sensing 13, no. 21: 4335. https://doi.org/10.3390/rs13214335

APA Style

Belter, H. J., Krumpen, T., Janout, M. A., Ross, E., & Haas, C. (2021). An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data. Remote Sensing, 13(21), 4335. https://doi.org/10.3390/rs13214335

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop