Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022
This data set accompanies a paper looking at the relative importance of three variables in upscaling Arctic lake methane emissions: the area of small, non-inventoried lakes; lake aquatic vegetation coverage; and potential double counting with wetlands. A baseline bottom-up emissions estimate based o...
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Arctic Data Center
2023
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dataone:urn:uuid:48f0d4a7-cd07-43f7-83b0-b95dd30c8730 2024-06-03T18:46:32+00:00 Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 Ethan D. Kyzivat Laurence C. Smith Arctic-boreal domain ENVELOPE(-179.75,179.75,83.75,45.25) BEGINDATE: 2022-01-01T00:00:00Z ENDDATE: 2022-01-01T00:00:00Z 2023-01-01T00:00:00Z https://search.dataone.org/view/urn:uuid:48f0d4a7-cd07-43f7-83b0-b95dd30c8730 unknown Arctic Data Center methane budget greenhouse gas inventory limnology lakes ponds flux HydroLAKES aquatic upscaling bottom-up Dataset 2023 dataone:urn:node:ARCTIC 2024-06-03T18:20:13Z This data set accompanies a paper looking at the relative importance of three variables in upscaling Arctic lake methane emissions: the area of small, non-inventoried lakes; lake aquatic vegetation coverage; and potential double counting with wetlands. A baseline bottom-up emissions estimate based on temperature and lake area is provided for all inventoried lakes within the Boreal-Arctic Wetland and Lake Dataset (BAWLD, Olefeldt et al., 2021, https://doi.org/10.18739/A2C824F9X), with estimates for extrapolated lake area bins below the inventory resolution. The data set includes two compressed, comma separated value (CSV) files with an index column corresponding to either lakes in the HydroLAKES inventory (Messager et al., 2016; https://www.hydrosheds.org/products/hydrolakes), or grid cells in BAWLD. The global surface water data set (GSW, Pekel et al., 2016) was used to derive lake aquatic vegetation (LAV) and potential wetland double-counting, defined as areas within lakes corresponding to less than 50% water occurrence. A third CSV dataset provides estimates for lake and aquatic vegetation areas and methane emissions for extrapolated area bins corresponding to lakes below the 0.5 km2 inventory threshold used in the paper. The python package developed for this data analysis is also included. Further details are given below and in the accompanying publication. Dataset Arctic Arctic Data Center (via DataONE) Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) ENVELOPE(-179.75,179.75,83.75,45.25) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
methane budget greenhouse gas inventory limnology lakes ponds flux HydroLAKES aquatic upscaling bottom-up |
spellingShingle |
methane budget greenhouse gas inventory limnology lakes ponds flux HydroLAKES aquatic upscaling bottom-up Ethan D. Kyzivat Laurence C. Smith Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 |
topic_facet |
methane budget greenhouse gas inventory limnology lakes ponds flux HydroLAKES aquatic upscaling bottom-up |
description |
This data set accompanies a paper looking at the relative importance of three variables in upscaling Arctic lake methane emissions: the area of small, non-inventoried lakes; lake aquatic vegetation coverage; and potential double counting with wetlands. A baseline bottom-up emissions estimate based on temperature and lake area is provided for all inventoried lakes within the Boreal-Arctic Wetland and Lake Dataset (BAWLD, Olefeldt et al., 2021, https://doi.org/10.18739/A2C824F9X), with estimates for extrapolated lake area bins below the inventory resolution. The data set includes two compressed, comma separated value (CSV) files with an index column corresponding to either lakes in the HydroLAKES inventory (Messager et al., 2016; https://www.hydrosheds.org/products/hydrolakes), or grid cells in BAWLD. The global surface water data set (GSW, Pekel et al., 2016) was used to derive lake aquatic vegetation (LAV) and potential wetland double-counting, defined as areas within lakes corresponding to less than 50% water occurrence. A third CSV dataset provides estimates for lake and aquatic vegetation areas and methane emissions for extrapolated area bins corresponding to lakes below the 0.5 km2 inventory threshold used in the paper. The python package developed for this data analysis is also included. Further details are given below and in the accompanying publication. |
format |
Dataset |
author |
Ethan D. Kyzivat Laurence C. Smith |
author_facet |
Ethan D. Kyzivat Laurence C. Smith |
author_sort |
Ethan D. Kyzivat |
title |
Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 |
title_short |
Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 |
title_full |
Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 |
title_fullStr |
Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 |
title_full_unstemmed |
Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022 |
title_sort |
parameters and code for estimating methane emissions from arctic-boreal lakes, 2022 |
publisher |
Arctic Data Center |
publishDate |
2023 |
url |
https://search.dataone.org/view/urn:uuid:48f0d4a7-cd07-43f7-83b0-b95dd30c8730 |
op_coverage |
Arctic-boreal domain ENVELOPE(-179.75,179.75,83.75,45.25) BEGINDATE: 2022-01-01T00:00:00Z ENDDATE: 2022-01-01T00:00:00Z |
long_lat |
ENVELOPE(-130.826,-130.826,57.231,57.231) ENVELOPE(-179.75,179.75,83.75,45.25) |
geographic |
Arctic Arctic Lake |
geographic_facet |
Arctic Arctic Lake |
genre |
Arctic |
genre_facet |
Arctic |
_version_ |
1800867521592557568 |