An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data
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 b...
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ftmdpi:oai:mdpi.com:/2072-4292/13/21/4335/ 2023-08-20T04:07:51+02:00 An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data Hans Jakob Belter Thomas Krumpen Markus A. Janout Ed Ross Christian Haas 2021-10-28 application/pdf https://doi.org/10.3390/rs13214335 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs13214335 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 21; Pages: 4335 sea ice thickness sonar Laptev Sea Text 2021 ftmdpi https://doi.org/10.3390/rs13214335 2023-08-01T03:05:40Z 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. Text laptev Laptev Sea Sea ice MDPI Open Access Publishing Laptev Sea Remote Sensing 13 21 4335 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
sea ice thickness sonar Laptev Sea |
spellingShingle |
sea ice thickness sonar Laptev Sea Hans Jakob Belter Thomas Krumpen Markus A. Janout Ed Ross Christian Haas An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data |
topic_facet |
sea ice thickness sonar Laptev Sea |
description |
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. |
format |
Text |
author |
Hans Jakob Belter Thomas Krumpen Markus A. Janout Ed Ross Christian Haas |
author_facet |
Hans Jakob Belter Thomas Krumpen Markus A. Janout Ed Ross Christian Haas |
author_sort |
Hans Jakob Belter |
title |
An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data |
title_short |
An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data |
title_full |
An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data |
title_fullStr |
An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data |
title_full_unstemmed |
An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data |
title_sort |
adaptive approach to derive sea ice draft from upward-looking acoustic doppler current profilers (adcps), validated by upward-looking sonar (uls) data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13214335 |
geographic |
Laptev Sea |
geographic_facet |
Laptev Sea |
genre |
laptev Laptev Sea Sea ice |
genre_facet |
laptev Laptev Sea Sea ice |
op_source |
Remote Sensing; Volume 13; Issue 21; Pages: 4335 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs13214335 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13214335 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
21 |
container_start_page |
4335 |
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1774719767313121280 |