LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America
Along the margins of continental ice sheets, lakes formed in isostatically depressed basins during glacial retreat. Their shorelines and extent are sensitive to the ice margin and the glacial history of the region. Proglacial lakes, in turn, also impact the glacial isostatic adjustment due to loadin...
Published in: | Journal of Quaternary Science |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
JOHN WILEY & SONS LTD
2019
|
Subjects: | |
Online Access: | https://epic.awi.de/id/eprint/50841/ https://epic.awi.de/id/eprint/50841/1/Hinck_et_al-LakeCC.pdf https://doi.org/10.1002/jqs.3182 https://hdl.handle.net/10013/epic.b6999d34-5c6f-4b39-bc80-c1c3871e0654 |
id |
ftawi:oai:epic.awi.de:50841 |
---|---|
record_format |
openpolar |
spelling |
ftawi:oai:epic.awi.de:50841 2024-09-15T18:12:18+00:00 LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America Hinck, Sebastian Gowan, Evan J. Lohmann, Gerrit 2019 application/pdf https://epic.awi.de/id/eprint/50841/ https://epic.awi.de/id/eprint/50841/1/Hinck_et_al-LakeCC.pdf https://doi.org/10.1002/jqs.3182 https://hdl.handle.net/10013/epic.b6999d34-5c6f-4b39-bc80-c1c3871e0654 unknown JOHN WILEY & SONS LTD https://epic.awi.de/id/eprint/50841/1/Hinck_et_al-LakeCC.pdf Hinck, S. orcid:0000-0002-6428-305X , Gowan, E. J. orcid:0000-0002-0119-9440 and Lohmann, G. orcid:0000-0003-2089-733X (2019) LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America , Journal of Quaternary Science . doi:10.1002/jqs.3182 <https://doi.org/10.1002/jqs.3182> , hdl:10013/epic.b6999d34-5c6f-4b39-bc80-c1c3871e0654 EPIC3Journal of Quaternary Science, JOHN WILEY & SONS LTD, ISSN: 0267-8179 Article isiRev 2019 ftawi https://doi.org/10.1002/jqs.3182 2024-06-24T04:23:24Z Along the margins of continental ice sheets, lakes formed in isostatically depressed basins during glacial retreat. Their shorelines and extent are sensitive to the ice margin and the glacial history of the region. Proglacial lakes, in turn, also impact the glacial isostatic adjustment due to loading, and ice dynamics by posing a marine‐like boundary condition at the ice margin. In this study we present a tool that efficiently identifies lake basins and the corresponding maximum water level for a given ice sheet and topography reconstruction. This algorithm, called the LakeCC model, iteratively checks the whole map for a set of increasing water levels and fills isolated basins until they overflow into the ocean. We apply it to the present‐day Great Lakes and the results show good agreement (∼1−4%) with measured lake volume and depth. We then apply it to two topography reconstructions of North America between the Last Glacial Maximum and the present. The model successfully reconstructs glacial lakes such as Lake Agassiz, Lake McConnell and the predecessors of the Great Lakes. LakeCC can be used to judge the quality of ice sheet reconstructions. Article in Journal/Newspaper Ice Sheet Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Journal of Quaternary Science 35 3 422 432 |
institution |
Open Polar |
collection |
Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Along the margins of continental ice sheets, lakes formed in isostatically depressed basins during glacial retreat. Their shorelines and extent are sensitive to the ice margin and the glacial history of the region. Proglacial lakes, in turn, also impact the glacial isostatic adjustment due to loading, and ice dynamics by posing a marine‐like boundary condition at the ice margin. In this study we present a tool that efficiently identifies lake basins and the corresponding maximum water level for a given ice sheet and topography reconstruction. This algorithm, called the LakeCC model, iteratively checks the whole map for a set of increasing water levels and fills isolated basins until they overflow into the ocean. We apply it to the present‐day Great Lakes and the results show good agreement (∼1−4%) with measured lake volume and depth. We then apply it to two topography reconstructions of North America between the Last Glacial Maximum and the present. The model successfully reconstructs glacial lakes such as Lake Agassiz, Lake McConnell and the predecessors of the Great Lakes. LakeCC can be used to judge the quality of ice sheet reconstructions. |
format |
Article in Journal/Newspaper |
author |
Hinck, Sebastian Gowan, Evan J. Lohmann, Gerrit |
spellingShingle |
Hinck, Sebastian Gowan, Evan J. Lohmann, Gerrit LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America |
author_facet |
Hinck, Sebastian Gowan, Evan J. Lohmann, Gerrit |
author_sort |
Hinck, Sebastian |
title |
LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America |
title_short |
LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America |
title_full |
LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America |
title_fullStr |
LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America |
title_full_unstemmed |
LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America |
title_sort |
lakecc: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of north america |
publisher |
JOHN WILEY & SONS LTD |
publishDate |
2019 |
url |
https://epic.awi.de/id/eprint/50841/ https://epic.awi.de/id/eprint/50841/1/Hinck_et_al-LakeCC.pdf https://doi.org/10.1002/jqs.3182 https://hdl.handle.net/10013/epic.b6999d34-5c6f-4b39-bc80-c1c3871e0654 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_source |
EPIC3Journal of Quaternary Science, JOHN WILEY & SONS LTD, ISSN: 0267-8179 |
op_relation |
https://epic.awi.de/id/eprint/50841/1/Hinck_et_al-LakeCC.pdf Hinck, S. orcid:0000-0002-6428-305X , Gowan, E. J. orcid:0000-0002-0119-9440 and Lohmann, G. orcid:0000-0003-2089-733X (2019) LakeCC: a tool for efficiently identifying lake basins with application to palaeogeographic reconstructions of North America , Journal of Quaternary Science . doi:10.1002/jqs.3182 <https://doi.org/10.1002/jqs.3182> , hdl:10013/epic.b6999d34-5c6f-4b39-bc80-c1c3871e0654 |
op_doi |
https://doi.org/10.1002/jqs.3182 |
container_title |
Journal of Quaternary Science |
container_volume |
35 |
container_issue |
3 |
container_start_page |
422 |
op_container_end_page |
432 |
_version_ |
1810449886385012736 |