Pan-Arctic surface water (yearly and trend over time) 2000-2022
Surface water change has been documented across the Arctic due to thawing permafrost and changes in the precipitation/evapotranspiration balance. This dataset uses Moderate Resolution Imaging Spectroradiometer (MODIS) data to track changes in surface water across the region over the past two decades...
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Arctic Data Center
2022
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dataone:doi:10.18739/A2NK3665N 2023-11-08T14:14:16+01:00 Pan-Arctic surface water (yearly and trend over time) 2000-2022 Elizabeth Webb Pan-Arctic lake regions. ENVELOPE(-180.0,180.0,80.0,50.0) BEGINDATE: 2000-01-01T00:00:00Z ENDDATE: 2021-01-01T00:00:00Z 2022-01-01T00:00:00Z https://doi.org/10.18739/A2NK3665N unknown Arctic Data Center surface water permafrost Arctic lakes Dataset 2022 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2NK3665N 2023-11-08T13:47:54Z Surface water change has been documented across the Arctic due to thawing permafrost and changes in the precipitation/evapotranspiration balance. This dataset uses Moderate Resolution Imaging Spectroradiometer (MODIS) data to track changes in surface water across the region over the past two decades. The superfine water index (SWI) is a unitless global water cover index developed specifically for MODIS data and validated in high northern latitudes. Variation in SWI can also track changes in surface water that occur at the sub-MODIS pixel scale (i.e., changes in water bodies smaller a MODIS pixel, ~500 meters (m)). This dataset (1) maps the average July SWI over pan-Arctic for each year of the MODIS record (2000-2021) and (2) maps the trends in July SWI over 2000-2012 (i.e., Sen's slope of the pixel-wise SWI vs. time). The spatial resolution of this dataset is ~500 m. The yearly SWI files are processed for the entire continuous and discontinuous permafrost zone. The 2000-2021 trend file is processed for lake-rich regions of the Arctic (i.e., lake coverage greater than 5%), as was published in the Webb et al, 2022 paper. The 2000-2022 trend file is processed for the entire continuous and discontinuous permafrost zone. Corresponding publication: Webb, Elizabeth E., Anna K. Liljedahl, Jada A. Cordeiro, Michael M. Loranty, Chandi Witharana, and Jeremy W. Lichstein (2022), Permafrost thaw drives surface water decline across lake-rich regions of the Arctic, Nature Climate Change, doi.org/10.1038/s41558-022-01455-w Dataset Arctic Climate change permafrost Arctic Data Center (via DataONE) Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) Jeremy ENVELOPE(-68.838,-68.838,-69.402,-69.402) Webb ENVELOPE(146.867,146.867,-67.867,-67.867) ENVELOPE(-180.0,180.0,80.0,50.0) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
surface water permafrost Arctic lakes |
spellingShingle |
surface water permafrost Arctic lakes Elizabeth Webb Pan-Arctic surface water (yearly and trend over time) 2000-2022 |
topic_facet |
surface water permafrost Arctic lakes |
description |
Surface water change has been documented across the Arctic due to thawing permafrost and changes in the precipitation/evapotranspiration balance. This dataset uses Moderate Resolution Imaging Spectroradiometer (MODIS) data to track changes in surface water across the region over the past two decades. The superfine water index (SWI) is a unitless global water cover index developed specifically for MODIS data and validated in high northern latitudes. Variation in SWI can also track changes in surface water that occur at the sub-MODIS pixel scale (i.e., changes in water bodies smaller a MODIS pixel, ~500 meters (m)). This dataset (1) maps the average July SWI over pan-Arctic for each year of the MODIS record (2000-2021) and (2) maps the trends in July SWI over 2000-2012 (i.e., Sen's slope of the pixel-wise SWI vs. time). The spatial resolution of this dataset is ~500 m. The yearly SWI files are processed for the entire continuous and discontinuous permafrost zone. The 2000-2021 trend file is processed for lake-rich regions of the Arctic (i.e., lake coverage greater than 5%), as was published in the Webb et al, 2022 paper. The 2000-2022 trend file is processed for the entire continuous and discontinuous permafrost zone. Corresponding publication: Webb, Elizabeth E., Anna K. Liljedahl, Jada A. Cordeiro, Michael M. Loranty, Chandi Witharana, and Jeremy W. Lichstein (2022), Permafrost thaw drives surface water decline across lake-rich regions of the Arctic, Nature Climate Change, doi.org/10.1038/s41558-022-01455-w |
format |
Dataset |
author |
Elizabeth Webb |
author_facet |
Elizabeth Webb |
author_sort |
Elizabeth Webb |
title |
Pan-Arctic surface water (yearly and trend over time) 2000-2022 |
title_short |
Pan-Arctic surface water (yearly and trend over time) 2000-2022 |
title_full |
Pan-Arctic surface water (yearly and trend over time) 2000-2022 |
title_fullStr |
Pan-Arctic surface water (yearly and trend over time) 2000-2022 |
title_full_unstemmed |
Pan-Arctic surface water (yearly and trend over time) 2000-2022 |
title_sort |
pan-arctic surface water (yearly and trend over time) 2000-2022 |
publisher |
Arctic Data Center |
publishDate |
2022 |
url |
https://doi.org/10.18739/A2NK3665N |
op_coverage |
Pan-Arctic lake regions. ENVELOPE(-180.0,180.0,80.0,50.0) BEGINDATE: 2000-01-01T00:00:00Z ENDDATE: 2021-01-01T00:00:00Z |
long_lat |
ENVELOPE(-130.826,-130.826,57.231,57.231) ENVELOPE(-68.838,-68.838,-69.402,-69.402) ENVELOPE(146.867,146.867,-67.867,-67.867) ENVELOPE(-180.0,180.0,80.0,50.0) |
geographic |
Arctic Arctic Lake Jeremy Webb |
geographic_facet |
Arctic Arctic Lake Jeremy Webb |
genre |
Arctic Climate change permafrost |
genre_facet |
Arctic Climate change permafrost |
op_doi |
https://doi.org/10.18739/A2NK3665N |
_version_ |
1782012695996792832 |