Arctic Rivers Dissolved Organic Carbon River Export Analysis ...
This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river m...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7600207 https://zenodo.org/doi/10.5281/zenodo.7600207 |
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ftdatacite:10.5281/zenodo.7600207 2023-12-31T10:03:24+01:00 Arctic Rivers Dissolved Organic Carbon River Export Analysis ... J. Blake Clark 2022 https://dx.doi.org/10.5281/zenodo.7600207 https://zenodo.org/doi/10.5281/zenodo.7600207 unknown Zenodo https://dx.doi.org/10.5281/zenodo.6544652 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.760020710.5281/zenodo.6544652 2023-12-01T11:18:44Z This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river mass load as a function of measured discharge. The *_discharge.dat files contain the river discharge data from arcticgreatrivers.org and each *.tar directory with the river's name contain the output file from the LOADEST model with 100 model runs each for each parameter defined below. The netcdf file ArcticRivers_CarbonTrends.nc contains all of the LOADEST model prediction ensembles and mean/total seasonal values used in the trend analysis. DOC=Dissolved organic carbon (mg/L) CDOC=Colored dissolved organic carbon (mg/L) S1=CDOM absorption spectral slope between 275-295 nm (1/nm) S2=CDOM absorption spectral slope between 350-400 nm (1/nm) a300 = CDOM absorption at 300 nm (1/m) There is also a file River_CDOM_PUB.mat ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river mass load as a function of measured discharge. The *_discharge.dat files contain the river discharge data from arcticgreatrivers.org and each *.tar directory with the river's name contain the output file from the LOADEST model with 100 model runs each for each parameter defined below. The netcdf file ArcticRivers_CarbonTrends.nc contains all of the LOADEST model prediction ensembles and mean/total seasonal values used in the trend analysis. DOC=Dissolved organic carbon (mg/L) CDOC=Colored dissolved organic carbon (mg/L) S1=CDOM absorption spectral slope between 275-295 nm (1/nm) S2=CDOM absorption spectral slope between 350-400 nm (1/nm) a300 = CDOM absorption at 300 nm (1/m) There is also a file River_CDOM_PUB.mat ... |
format |
Dataset |
author |
J. Blake Clark |
spellingShingle |
J. Blake Clark Arctic Rivers Dissolved Organic Carbon River Export Analysis ... |
author_facet |
J. Blake Clark |
author_sort |
J. Blake Clark |
title |
Arctic Rivers Dissolved Organic Carbon River Export Analysis ... |
title_short |
Arctic Rivers Dissolved Organic Carbon River Export Analysis ... |
title_full |
Arctic Rivers Dissolved Organic Carbon River Export Analysis ... |
title_fullStr |
Arctic Rivers Dissolved Organic Carbon River Export Analysis ... |
title_full_unstemmed |
Arctic Rivers Dissolved Organic Carbon River Export Analysis ... |
title_sort |
arctic rivers dissolved organic carbon river export analysis ... |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.7600207 https://zenodo.org/doi/10.5281/zenodo.7600207 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5281/zenodo.6544652 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.760020710.5281/zenodo.6544652 |
_version_ |
1786821409021886464 |