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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ftzenodo:oai:zenodo.org:7308660 2024-09-09T19:22:52+00:00 Arctic Rivers Dissolved Organic Carbon River Export Analysis J. Blake Clark 2022-11-09 https://doi.org/10.5281/zenodo.7308660 unknown Zenodo https://doi.org/10.5281/zenodo.6544652 https://doi.org/10.5281/zenodo.7308660 oai:zenodo.org:7308660 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.730866010.5281/zenodo.6544652 2024-07-25T20:27:26Z 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 that is a MATLAB data structure with the data used to construct the LOADEST model input files. Dr. J. Blake Clarkshould be contacted at bclark@umbc.edu with any specific questions. Other/Unknown Material Arctic Zenodo Arctic |
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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 that is a MATLAB data structure with the data used to construct the LOADEST model input files. Dr. J. Blake Clarkshould be contacted at bclark@umbc.edu with any specific questions. |
format |
Other/Unknown Material |
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://doi.org/10.5281/zenodo.7308660 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://doi.org/10.5281/zenodo.6544652 https://doi.org/10.5281/zenodo.7308660 oai:zenodo.org:7308660 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.730866010.5281/zenodo.6544652 |
_version_ |
1809763214417723392 |