Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset]
Level-3 daily merged Copernicus-GlobColour multi-sensor Remote Sensing Reflectance (Rrs(λ)) from the Copernicus Marine Environmental Monitoring Service (CMEMS) is used as data source. The aCDOM(443) was estimated using the gsmA parametrizations for the southern Beaufort Sea (Matsuoka et al., 2013) w...
Main Authors: | , , , , |
---|---|
Other Authors: | , , |
Format: | Dataset |
Language: | English |
Published: |
CSIC - Instituto de Ciencias del Mar (ICM)
2023
|
Subjects: | |
Online Access: | http://hdl.handle.net/10261/340924 https://doi.org/10.20350/digitalCSIC/15721 |
id |
ftcsic:oai:digital.csic.es:10261/340924 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
English |
topic |
Earth science Oceans Ocean optics Absorption Ocean chemistry Carbon |
spellingShingle |
Earth science Oceans Ocean optics Absorption Ocean chemistry Carbon Sánchez Urrea, María Gabarró, Carolina Galí, Martí Umbert, Marta Andrés Marruedo, Eva de Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] |
topic_facet |
Earth science Oceans Ocean optics Absorption Ocean chemistry Carbon |
description |
Level-3 daily merged Copernicus-GlobColour multi-sensor Remote Sensing Reflectance (Rrs(λ)) from the Copernicus Marine Environmental Monitoring Service (CMEMS) is used as data source. The aCDOM(443) was estimated using the gsmA parametrizations for the southern Beaufort Sea (Matsuoka et al., 2013) with some modifications; while DOC was retrieved using an empirical aCDOM(443)-DOC relationship developed by Juhls et al. (2022), valid across the fluvial-marine transition zone of the Mackenzie River–Beaufort Sea region Level-4 daily maps of aCDOM(443) and DOC for the Mackenzie River-Beaufort Sea region (122-142ºW and 68-73ºN) are distributed in the regular latitude–longitude grid at a spatial resolution of 4 km. The data is available from 1st January 2002 to 31st October 2023. Additionally, 8-day means, and monthly mean data are also provided. The dataset consists of four variables: (i) Chromophoric Dissolved Organic Matter at 443 nm (aCDOM(443) [m-1]) (ii) Dissolved Organic Carbon (DOC [µM]) (iii) water type mask (coastal/oceanic) (iv) model relative error for Rrs(443) (∆Rrs(443) [%]) (v) aCDOM(443) uncertainty (σaCDOM [m-1]) (vi) DOC uncertainty (σDOC [µM]) YYYYMMDD_aCDOM443_DOC_l4_4km_P1D.nc (This dataset contains daily Level-4 aCDOM and DOC product from satellite observations for the Mackenzie River-Beaufort Sea region) YYYYMMDD_YYYYMMDD_aCDOM443_DOC_l4_4km_P8D.nc (This dataset contains daily Level-4 aCDOM and DOC product from satellite observations for the Mackenzie River-Beaufort Sea region) YYYYMMDD_YYYYMMDD_aCDOM443_DOC_l4_4km_P1M.nc (This dataset contains monthly Level-4 aCDOM and DOC product from satellite observations for the Mackenzie River-Beaufort Sea region) In the regime-shifting Arctic, organic carbon export from river watersheds is expected to increase due to changes in hydrological regimes and permafrost thawing. Given the impact these changes have on the biogeochemical cycles of coastal and shelf areas, robust monitoring of major Arctic rivers is needed. During ice-free season, ocean color ... |
author2 |
Ministerio de Ciencia, Innovación y Universidades (España) Consejo Superior de Investigaciones Científicas (España) Sánchez Urrea, María Gabarró, Carolina Galí, Martí Umbert, Marta Andrés Marruedo, Eva de Gonçalves, Rafael |
format |
Dataset |
author |
Sánchez Urrea, María Gabarró, Carolina Galí, Martí Umbert, Marta Andrés Marruedo, Eva de |
author_facet |
Sánchez Urrea, María Gabarró, Carolina Galí, Martí Umbert, Marta Andrés Marruedo, Eva de |
author_sort |
Sánchez Urrea, María |
title |
Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] |
title_short |
Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] |
title_full |
Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] |
title_fullStr |
Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] |
title_full_unstemmed |
Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] |
title_sort |
long-term satellite-derived acdom(443) and doc in the mackenzie river-beaufort sea region (v.1.0) [dataset] |
publisher |
CSIC - Instituto de Ciencias del Mar (ICM) |
publishDate |
2023 |
url |
http://hdl.handle.net/10261/340924 https://doi.org/10.20350/digitalCSIC/15721 |
op_coverage |
name=Mackzie River-Beaufort Sea region; lat=68-73ºN; long=122-142ºW start=1998-01-01; end=2023-10-31 |
geographic |
Arctic Mackenzie River |
geographic_facet |
Arctic Mackenzie River |
genre |
Arctic Arctic Beaufort Sea Ice Mackenzie river permafrost |
genre_facet |
Arctic Arctic Beaufort Sea Ice Mackenzie river permafrost |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MCIN//PID2021-125324OB-I00 Publisher's version Juhls, B.; Matsuoka, A.; Lizotte, M.; Bécu, G.; Overduin, P. P.; El Kassar, J.; Devred, E.; Doxaran, D.; Ferland, J.; Forget, M. H.; Hilborn, A.; Hieronymi, M.; Leymarie, E.; Maury, J.; Oziel, L.; Tisserand, L.; Anikina, D. O. J.; Dillon, M.; Babin, M.; Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing; Remote Sensing of Environment 283: 113327 (2022); https://doi.org/10.1016/j.rse.2022.113327 Matsuoka, A.; Hooker, S. B.; Bricaud, A.; Gentili, B.; Babin, M.; Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space; Biogeosciences 10: 917-927 (2013;) https://doi.org/10.5194/bg-10-917-2013 Sánchez Urrea, María; Gabarró, Carolina; Galí, Martí; Umbert, Marta; Andrés Marruedo, Eva de; Gonçalves, Rafael; 2024; Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region; Submitted There are several methods to open and visualize a NetCDF file, either via Graphic User Interface (GUI) (e.g.: Panoply, SNAP or QGIS) or Command Lines (CLI) (e.g.: Python , Matlab or R) Sí Sánchez Urrea, María; Gabarró, Carolina; Galí, Martí; Umbert, Marta; Andrés Marruedo, Eva de; Gonçalves, Rafael; 2023; "Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset]"; DIGITAL.CSIC; https://doi.org/ http://hdl.handle.net/10261/340924 https://doi.org/10.20350/digitalCSIC/15721 |
op_rights |
none |
op_doi |
https://doi.org/10.20350/digitalCSIC/1572110.1016/j.rse.2022.11332710.5194/bg-10-917-2013 |
_version_ |
1790595528974663680 |
spelling |
ftcsic:oai:digital.csic.es:10261/340924 2024-02-11T09:59:46+01:00 Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset] Sánchez Urrea, María Gabarró, Carolina Galí, Martí Umbert, Marta Andrés Marruedo, Eva de Ministerio de Ciencia, Innovación y Universidades (España) Consejo Superior de Investigaciones Científicas (España) Sánchez Urrea, María Gabarró, Carolina Galí, Martí Umbert, Marta Andrés Marruedo, Eva de Gonçalves, Rafael name=Mackzie River-Beaufort Sea region; lat=68-73ºN; long=122-142ºW start=1998-01-01; end=2023-10-31 2023-12-13 NetCDF Sánchez Urrea, María; Gabarró, Carolina; Galí, Martí; Umbert, Marta; Andrés Marruedo, Eva de; Gonçalves, Rafael; 2023; "Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset]"; DIGITAL.CSIC; https://doi.org/ http://hdl.handle.net/10261/340924 https://doi.org/10.20350/digitalCSIC/15721 en eng CSIC - Instituto de Ciencias del Mar (ICM) #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MCIN//PID2021-125324OB-I00 Publisher's version Juhls, B.; Matsuoka, A.; Lizotte, M.; Bécu, G.; Overduin, P. P.; El Kassar, J.; Devred, E.; Doxaran, D.; Ferland, J.; Forget, M. H.; Hilborn, A.; Hieronymi, M.; Leymarie, E.; Maury, J.; Oziel, L.; Tisserand, L.; Anikina, D. O. J.; Dillon, M.; Babin, M.; Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing; Remote Sensing of Environment 283: 113327 (2022); https://doi.org/10.1016/j.rse.2022.113327 Matsuoka, A.; Hooker, S. B.; Bricaud, A.; Gentili, B.; Babin, M.; Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space; Biogeosciences 10: 917-927 (2013;) https://doi.org/10.5194/bg-10-917-2013 Sánchez Urrea, María; Gabarró, Carolina; Galí, Martí; Umbert, Marta; Andrés Marruedo, Eva de; Gonçalves, Rafael; 2024; Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region; Submitted There are several methods to open and visualize a NetCDF file, either via Graphic User Interface (GUI) (e.g.: Panoply, SNAP or QGIS) or Command Lines (CLI) (e.g.: Python , Matlab or R) Sí Sánchez Urrea, María; Gabarró, Carolina; Galí, Martí; Umbert, Marta; Andrés Marruedo, Eva de; Gonçalves, Rafael; 2023; "Long-term satellite-derived aCDOM(443) and DOC in the Mackenzie River-Beaufort Sea region (V.1.0) [Dataset]"; DIGITAL.CSIC; https://doi.org/ http://hdl.handle.net/10261/340924 https://doi.org/10.20350/digitalCSIC/15721 none Earth science Oceans Ocean optics Absorption Ocean chemistry Carbon dataset 2023 ftcsic https://doi.org/10.20350/digitalCSIC/1572110.1016/j.rse.2022.11332710.5194/bg-10-917-2013 2024-01-16T11:55:52Z Level-3 daily merged Copernicus-GlobColour multi-sensor Remote Sensing Reflectance (Rrs(λ)) from the Copernicus Marine Environmental Monitoring Service (CMEMS) is used as data source. The aCDOM(443) was estimated using the gsmA parametrizations for the southern Beaufort Sea (Matsuoka et al., 2013) with some modifications; while DOC was retrieved using an empirical aCDOM(443)-DOC relationship developed by Juhls et al. (2022), valid across the fluvial-marine transition zone of the Mackenzie River–Beaufort Sea region Level-4 daily maps of aCDOM(443) and DOC for the Mackenzie River-Beaufort Sea region (122-142ºW and 68-73ºN) are distributed in the regular latitude–longitude grid at a spatial resolution of 4 km. The data is available from 1st January 2002 to 31st October 2023. Additionally, 8-day means, and monthly mean data are also provided. The dataset consists of four variables: (i) Chromophoric Dissolved Organic Matter at 443 nm (aCDOM(443) [m-1]) (ii) Dissolved Organic Carbon (DOC [µM]) (iii) water type mask (coastal/oceanic) (iv) model relative error for Rrs(443) (∆Rrs(443) [%]) (v) aCDOM(443) uncertainty (σaCDOM [m-1]) (vi) DOC uncertainty (σDOC [µM]) YYYYMMDD_aCDOM443_DOC_l4_4km_P1D.nc (This dataset contains daily Level-4 aCDOM and DOC product from satellite observations for the Mackenzie River-Beaufort Sea region) YYYYMMDD_YYYYMMDD_aCDOM443_DOC_l4_4km_P8D.nc (This dataset contains daily Level-4 aCDOM and DOC product from satellite observations for the Mackenzie River-Beaufort Sea region) YYYYMMDD_YYYYMMDD_aCDOM443_DOC_l4_4km_P1M.nc (This dataset contains monthly Level-4 aCDOM and DOC product from satellite observations for the Mackenzie River-Beaufort Sea region) In the regime-shifting Arctic, organic carbon export from river watersheds is expected to increase due to changes in hydrological regimes and permafrost thawing. Given the impact these changes have on the biogeochemical cycles of coastal and shelf areas, robust monitoring of major Arctic rivers is needed. During ice-free season, ocean color ... Dataset Arctic Arctic Beaufort Sea Ice Mackenzie river permafrost Digital.CSIC (Spanish National Research Council) Arctic Mackenzie River |