Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ...
Calibration for BGC sensors follows methods described in: Maurer, T.L., Plant, J.N. and K.S Johnson, 2021. Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats. Front. Mar. Sci. 8:683207. https://doi.org/10.3389/fmars.2021.683207 Johnson, K. S., J. N...
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Online Access: | https://dx.doi.org/10.6075/j0tx3c9x https://library.ucsd.edu/dc/collection/bb4473712z |
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ftdatacite:10.6075/j0tx3c9x 2023-10-01T03:59:34+02:00 Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... Johnson, Kenneth S Riser, Stephen C Boss, Emmanuel S Talley, Lynne D Sarmiento, Jorge L Swift, Dana D Plant, Josh N Maurer, Tanya L Key, Robert M Williams, Nancy L Wanninkhof, Richard H Dickson, Andrew G Feely, Richard A Russell, Joellen L 2017 https://dx.doi.org/10.6075/j0tx3c9x https://library.ucsd.edu/dc/collection/bb4473712z en eng UC San Diego Library Digital Collections https://soccom.princeton.edu/content/soccom-publications https://dx.doi.org/10.1002/2017jc012838 https://soccom.princeton.edu/content/soccom-publications https://dx.doi.org/10.3389/fmars.2018.00328 https://dx.doi.org/10.1002/2016gl068539 https://dx.doi.org/10.3389/fmars.2017.00128 https://dx.doi.org/10.6075/j0sj1kt8 https://dx.doi.org/10.3389/fmars.2021.683207 https://dx.doi.org/10.1002/lom3.10232 https://dx.doi.org/10.1002/lom3.10087 https://dx.doi.org/10.1002/2016gb005541 Southern Ocean Hydrography Biogeochemistry Southern Ocean Carbon and Climate Observations and Modeling project SOCCOM Southern Ocean carbon Dataset dataset 2017 ftdatacite https://doi.org/10.6075/j0tx3c9x10.1002/2017jc01283810.3389/fmars.2018.0032810.1002/2016gl06853910.3389/fmars.2017.0012810.6075/j0sj1kt810.3389/fmars.2021.68320710.1002/lom3.1023210.1002/lom3.1008710.1002/2016gb005541 2023-09-04T15:04:34Z Calibration for BGC sensors follows methods described in: Maurer, T.L., Plant, J.N. and K.S Johnson, 2021. Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats. Front. Mar. Sci. 8:683207. https://doi.org/10.3389/fmars.2021.683207 Johnson, K. S., J. N. Plant, L. J. Coletti, H. W. Jannasch, C. M. Sakamoto, S. C. Riser, D. D. Swift, N. L. Williams, E. Boss, N. Haentjens, L. D. Talley, and J. L. Sarmiento, 2017. Biogeochemical sensor performance in the SOCCOM profiling float array. J. Geophys. Res. Oceans, 122, 6416-6436. https://doi.org/10.1002/2017JC012838 Three different methods (LIAR, CANYON, MLR) are used in calculating TALK, DIC, and pCO2. These are referenced below. For a description of uncertainties associated with the derived carbon parameters see Williams, N. L., et al. (2017), Calculating surface ocean pCO2 from biogeochemical Argo floats equipped with pH: An uncertainty analysis, Global Biogeochem. Cycles, 31, 591–604, ... : To develop a new observing system for carbon, nutrients, and oxygen that will complement and expand on the existing observing system for heat and freshwater, the observations team will deploy a large array (~200) of profiling floats with biogeochemical sensors throughout the Southern Ocean. This robotic float observing system will be complemented by shipboard measurements, instrument and sensor development, and data analysis, including state estimation in conjunction with the modeling program. Principal responsibility for development and deployment of the observing system will be in the hands of the Scripps Institution of Oceanography (Theme 1 Lead Lynne Talley), in partnership with the University of Washington (Co-Lead Steve Riser) and Monterey Bay Aquarium Research Institute (Associate Director Ken Johnson), who together will design and build the floats and participate in analysis of the data. Deployment opportunities with international partners are an important component to the SOCCOM observational ... Dataset Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Sarmiento ENVELOPE(-68.000,-68.000,-72.000,-72.000) Scripps ENVELOPE(-63.783,-63.783,-69.150,-69.150) Southern Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Southern Ocean Hydrography Biogeochemistry Southern Ocean Carbon and Climate Observations and Modeling project SOCCOM Southern Ocean carbon |
spellingShingle |
Southern Ocean Hydrography Biogeochemistry Southern Ocean Carbon and Climate Observations and Modeling project SOCCOM Southern Ocean carbon Johnson, Kenneth S Riser, Stephen C Boss, Emmanuel S Talley, Lynne D Sarmiento, Jorge L Swift, Dana D Plant, Josh N Maurer, Tanya L Key, Robert M Williams, Nancy L Wanninkhof, Richard H Dickson, Andrew G Feely, Richard A Russell, Joellen L Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... |
topic_facet |
Southern Ocean Hydrography Biogeochemistry Southern Ocean Carbon and Climate Observations and Modeling project SOCCOM Southern Ocean carbon |
description |
Calibration for BGC sensors follows methods described in: Maurer, T.L., Plant, J.N. and K.S Johnson, 2021. Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats. Front. Mar. Sci. 8:683207. https://doi.org/10.3389/fmars.2021.683207 Johnson, K. S., J. N. Plant, L. J. Coletti, H. W. Jannasch, C. M. Sakamoto, S. C. Riser, D. D. Swift, N. L. Williams, E. Boss, N. Haentjens, L. D. Talley, and J. L. Sarmiento, 2017. Biogeochemical sensor performance in the SOCCOM profiling float array. J. Geophys. Res. Oceans, 122, 6416-6436. https://doi.org/10.1002/2017JC012838 Three different methods (LIAR, CANYON, MLR) are used in calculating TALK, DIC, and pCO2. These are referenced below. For a description of uncertainties associated with the derived carbon parameters see Williams, N. L., et al. (2017), Calculating surface ocean pCO2 from biogeochemical Argo floats equipped with pH: An uncertainty analysis, Global Biogeochem. Cycles, 31, 591–604, ... : To develop a new observing system for carbon, nutrients, and oxygen that will complement and expand on the existing observing system for heat and freshwater, the observations team will deploy a large array (~200) of profiling floats with biogeochemical sensors throughout the Southern Ocean. This robotic float observing system will be complemented by shipboard measurements, instrument and sensor development, and data analysis, including state estimation in conjunction with the modeling program. Principal responsibility for development and deployment of the observing system will be in the hands of the Scripps Institution of Oceanography (Theme 1 Lead Lynne Talley), in partnership with the University of Washington (Co-Lead Steve Riser) and Monterey Bay Aquarium Research Institute (Associate Director Ken Johnson), who together will design and build the floats and participate in analysis of the data. Deployment opportunities with international partners are an important component to the SOCCOM observational ... |
format |
Dataset |
author |
Johnson, Kenneth S Riser, Stephen C Boss, Emmanuel S Talley, Lynne D Sarmiento, Jorge L Swift, Dana D Plant, Josh N Maurer, Tanya L Key, Robert M Williams, Nancy L Wanninkhof, Richard H Dickson, Andrew G Feely, Richard A Russell, Joellen L |
author_facet |
Johnson, Kenneth S Riser, Stephen C Boss, Emmanuel S Talley, Lynne D Sarmiento, Jorge L Swift, Dana D Plant, Josh N Maurer, Tanya L Key, Robert M Williams, Nancy L Wanninkhof, Richard H Dickson, Andrew G Feely, Richard A Russell, Joellen L |
author_sort |
Johnson, Kenneth S |
title |
Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... |
title_short |
Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... |
title_full |
Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... |
title_fullStr |
Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... |
title_full_unstemmed |
Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... : Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Float Data Archive ... |
title_sort |
southern ocean carbon and climate observations and modeling (soccom) float data archive ... : southern ocean carbon and climate observations and modeling (soccom) float data archive ... |
publisher |
UC San Diego Library Digital Collections |
publishDate |
2017 |
url |
https://dx.doi.org/10.6075/j0tx3c9x https://library.ucsd.edu/dc/collection/bb4473712z |
long_lat |
ENVELOPE(-68.000,-68.000,-72.000,-72.000) ENVELOPE(-63.783,-63.783,-69.150,-69.150) |
geographic |
Sarmiento Scripps Southern Ocean |
geographic_facet |
Sarmiento Scripps Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
https://soccom.princeton.edu/content/soccom-publications https://dx.doi.org/10.1002/2017jc012838 https://soccom.princeton.edu/content/soccom-publications https://dx.doi.org/10.3389/fmars.2018.00328 https://dx.doi.org/10.1002/2016gl068539 https://dx.doi.org/10.3389/fmars.2017.00128 https://dx.doi.org/10.6075/j0sj1kt8 https://dx.doi.org/10.3389/fmars.2021.683207 https://dx.doi.org/10.1002/lom3.10232 https://dx.doi.org/10.1002/lom3.10087 https://dx.doi.org/10.1002/2016gb005541 |
op_doi |
https://doi.org/10.6075/j0tx3c9x10.1002/2017jc01283810.3389/fmars.2018.0032810.1002/2016gl06853910.3389/fmars.2017.0012810.6075/j0sj1kt810.3389/fmars.2021.68320710.1002/lom3.1023210.1002/lom3.1008710.1002/2016gb005541 |
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