gov.noaa.nodc:0245951 eng utf8 dataset NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NOAA Contact Information Information for contacts at NCEI. information custodian 2025-11-29T07:40:28Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Modeled ocean acidification data in the eastern US coast using satellites and climate model data for the Ocean Acidification Products for the Gulf of Mexico and East Coast project from 2014-01-01 to 2020-12-31 (NCEI Accession 0245951) 2022-02-05 publication 2022-01-19 creation International DOI Foundation (IDF) 10.25921/9bs9-1n75 NOAA National Centers for Environmental Information gov.noaa.nodc:0245951 NCEI Archive Management System 0245951 NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information publisher Ruben van Hooidonk Rosenstiel School of Marine, Atmospheric, and Earth Science Cooperative Institute for Marine and Atmospheric Studies (CIMAS) ruben.van.hooidonk@noaa.gov https://cimas.earth.miami.edu/ HTTPS Rosenstiel School of Marine, Atmospheric, and Earth Science Cooperative Institute for Marine and Atmospheric Studies (CIMAS) website Institution web page information resourceProvider NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) https://www.aoml.noaa.gov/ HTTPS NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) website Institution web page information resourceProvider Ruben van Hooidonk Rosenstiel School of Marine, Atmospheric, and Earth Science Cooperative Institute for Marine and Atmospheric Studies (CIMAS) ruben.van.hooidonk@noaa.gov https://cimas.earth.miami.edu/ HTTPS Rosenstiel School of Marine, Atmospheric, and Earth Science Cooperative Institute for Marine and Atmospheric Studies (CIMAS) website Institution web page information principalInvestigator van Hooidonk, Ruben Rosenstiel School of Marine, Atmospheric, and Earth Science Cooperative Institute for Marine and Atmospheric Studies (CIMAS) https://cimas.earth.miami.edu/ HTTPS Rosenstiel School of Marine, Atmospheric, and Earth Science Cooperative Institute for Marine and Atmospheric Studies (CIMAS) website Institution web page information author NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) https://www.aoml.noaa.gov/ HTTPS NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) website Institution web page information contributor tableDigital Scientists of the ACCRETE (Acidification, Climate, and Coral Reef Ecosystems Team) Lab of AOML’s Ocean Chemistry and Ecosystems Division (OCED) constructed a tool to monitor ocean acidification over the eastern US coast. This tool utilizes satellite data and a data-assimilative hybrid model to map the components of the carbonate system of surface water. The variables provided in this dataset include partial pressure of carbon dioxide for seawater (pCO2sw), total alkalinity (TA), pH, aragonite saturation state, and calcite saturation state. This dataset represents an update to the experimental Ocean Acidification Product Suite (OAPS) developed by NOAA's Coral Reef Watch. This dataset is available to the public for a wide variety of uses including scientific research and analysis. Funding Information: NOAA Ocean Acidification Program (High-resolution modeling and mapping of the ocean acidification in the East and Gulf Coasts, OAP-AOML-FY18-20-001) Funding Information: NOAA Ocean Acidification Program (Ocean Acidification Products for the Gulf of Mexico and East Coast, 13385) Funding Information: NOAA OAP (Ocean Acidification Products for the Gulf of Mexico and East Coast, 13385) completed historicalArchive NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information pointOfContact asNeeded https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0245951 Preview graphic PNG 0245951 NCEI ACCESSION NUMBER 2022-01-13 publication ARAGONITE SATURATION STATE CALCITE CONCENTRATION partial pressure of carbon dioxide - water pH total alkalinity theme NODC DATA TYPES THESAURUS satellite sensor - general instrument NODC INSTRUMENT TYPES THESAURUS chemical model output theme NODC OBSERVATION TYPES THESAURUS NOAA Atlantic Oceanographic and Meteorological Laboratory dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS NOAA Atlantic Oceanographic and Meteorological Laboratory dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS CORAL REEF STUDIES Coral Reef Watch (CRW) Ocean Carbon and Acidification Data System (OCADS) US DOC; NOAA; Office of Oceanic and Atmospheric Research; Ocean Acidification Program (OAP) project NODC PROJECT NAMES THESAURUS North Atlantic Ocean place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication DOC/NOAA/OAR/AOML > Atlantic Oceanographic and Meteorological Laboratory, OAR, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Ocean Acidification Program (OAP) Ocean Carbon and Acidification Data System (OCADS) Project project Ocean Acidification Search Keywords Ocean Acidification Products for the Gulf of Mexico and East Coast project Research Projects EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ALKALINITY EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBONATE EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PH theme Global Change Master Directory (GCMD) Science Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Model output theme OCADS Study Type TA omegaAr omegaCa pCO2 pH theme Provider Variable Abbreviations OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN place Global Change Master Directory (GCMD) Location Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian US East Coast place Provider Geographic Names accessLevel: Public otherRestrictions Cite as: van Hooidonk, Ruben (2022). Modeled ocean acidification data in the eastern US coast using satellites and climate model data for the Ocean Acidification Products for the Gulf of Mexico and East Coast project from 2014-01-01 to 2020-12-31 (NCEI Accession 0245951). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/9bs9-1n75. Accessed [date]. Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. otherRestrictions Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose. This data is experimental, use caution. The East Coast of the USA publication https://www.coral.noaa.gov/accrete/east-coast-oaps.html HTTPS https://www.coral.noaa.gov/accrete/east-coast-oaps.html East Coast Ocean Acidification Product Suite information NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) https://www.aoml.noaa.gov/ HTTPS NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) website Institution web page information collaborator crossReference project Gledhill, D. K., Wanninkhof, R., Millero, F. J., & Eakin, M. (2008). Ocean acidification of the Greater Caribbean Region 1996–2006. Journal of Geophysical Research: Oceans, 113(C10). https://doi.org/10.1029/2007jc004629 2008-10 publication International DOI Foundation (IDF) https://doi.org/10.1029/2007jc004629 https://doi.org/10.1029/2007jc004629 HTTPS https://doi.org/10.1029/2007jc004629 related journal article information Gledhill, Dwight K. NOAA NESDIS Coral Reef Watch Silver Spring Maryland USA author Wanninkhof, Rik NOAA OAR AOML Miami Florida USA author Millero, Frank J. Rosenstiel School University of Miami Miami Florida USA author Eakin, Mark NOAA NESDIS Coral Reef Watch Silver Spring Maryland USA author American Geophysical Union (AGU) publisher documentDigital J. Geophys. Res. 113(C10) ISSN 0148-0227 crossReference sciencePaper Signorini, S. R., Mannino, A., Najjar, R. G., Friedrichs, M. A. M., Cai, W.-J., Salisbury, J., Wang, Z. A., Thomas, H., & Shadwick, E. (2013). Surface ocean p CO2 seasonality and sea-air CO2 flux estimates for the North American east coast. Journal of Geophysical Research: Oceans, 118(10), 5439–5460. https://doi.org/10.1002/jgrc.20369 2013-10 publication International DOI Foundation (IDF) https://doi.org/10.1002/jgrc.20369 https://doi.org/10.1002/jgrc.20369 HTTPS https://doi.org/10.1002/jgrc.20369 related journal article information Signorini, Sergio R. Science Applications International Corporation; Washington D.C. USA author Mannino, Antonio NASA Goddard Space Flight Center; Ocean Ecology Laboratory; Greenbelt Maryland USA author Najjar, Raymond G. Department of Meteorology; The Pennsylvania; University Park Pennsylvania USA author Friedrichs, Marjorie A. M. Virginia Institute of Marine Science; College of William & Mary; Gloucester Point Virginia USA author Cai, Wei-Jun School of Marine Science and Policy; University of Delaware; Newark Delaware USA author Salisbury, Joe Institute for the Study of Earth, Oceans and Space, of New Hampshire; Durham New Hampshire USA author Wang, Zhaohui Aleck Department of Marine Chemistry & Geochemistry, Hole Oceanographic Institute; Woods Hole Massachusetts USA author Thomas, Helmuth Department of Oceanography, University; Halifax, Scotia Canada author Shadwick, Elizabeth Antarctic Climate and Ecosystems Cooperative Research Centre; University of Tasmania; Hobart Tasmania Australia author American Geophysical Union (AGU) publisher documentDigital J. Geophys. Res. Oceans 118(10) ISSN 2169-9275, pp. 5439-5460 crossReference sciencePaper Wang, Z. A., Lawson, G. L., Pilskaln, C. H., & Maas, A. E. (2017). Seasonal controls of aragonite saturation states in the Gulf of Maine. Journal of Geophysical Research: Oceans, 122(1), 372–389. https://doi.org/10.1002/2016jc012373 2017-01 publication International DOI Foundation (IDF) https://doi.org/10.1002/2016jc012373 https://doi.org/10.1002/2016jc012373 HTTPS https://doi.org/10.1002/2016jc012373 related journal article information Wang, Zhaohui Aleck Department of Marine Chemistry and Geochemistry Woods Hole Oceanographic Institution Woods Hole Massachusetts USA author Lawson, Gareth L. Biology Department Woods Hole Oceanographic Institution Woods Hole Massachusetts USA author Pilskaln, Cynthia H. School for Marine Science and Technology University of Massachusetts Dartmouth New Bedford Massachusetts USA author Maas, Amy E. Bermuda Institute of Ocean Sciences St. George's Bermuda author American Geophysical Union (AGU) publisher documentDigital JGR Oceans 122(1) ISSN 2169-9275, ISSN 2169-9291, pp. 372-389 crossReference sciencePaper NOAA National Centers for Environmental Information (2022). Ocean Carbon and Acidification Data System (OCADS). NOAA National Centers for Environmental Information. https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system 2022-04 publication https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system HTTPS https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system OCADS website information NOAA National Centers for Environmental Information author NOAA National Centers for Environmental Information (NCEI) publisher documentDigital [accessed 2024-02-08] crossReference program eng; USA utf8 environment oceans -82 -54.1 24 46.5 2014-01-01 2020-12-31 This data package (Submission ID: BFUTN4KSY) was acquired by NCEI from the Scientific Data Integration System (SDIS) at the NOAA Pacific Marine Environmental Laboratory (PMEL) in accordance with the archival submission agreement between NCEI and PMEL. 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Contact NCEI for other distribution options and instructions. netCDF netCDF-3 CF-1.6 46.616 https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0245951.html HTTPS Web browser Project Metadata Navigate directly to the URL for a descriptive web page with download links. information https://doi.org/10.25921/9bs9-1n75 HTTPS Web browser NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/oas/245951 HTTPS Web browser Descriptive Information Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/download/245951 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0154/0245951/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP). download dataset NCEI Accession 0245951 v1.1 was published. 2022-02-05T01:28:09Z NCEI Accession 0245951 v1.1 publication https://www.ncei.noaa.gov/archive/accession/0245951/1.1 HTTPS NCEI Accession 0245951 v1.1 published 2022-02-05T01:28:09Z download dataset Parameter or Variable: Total alkalinity; Abbreviation: TA; Unit: μmol/kg; Observation type: Model output; In-situ / Manipulation / Response variable: response variable; Measured or calculated: Calculated; Detailed sampling and analyzing information: Algorithms are derived to determine the partial pressure of CO2 (pCO2) in surface water for five different regions on the east coast. These algorithms use optimally interpolated sea surface temperature (SST) products that merge multiple satellites, sea surface salinity (SSS) and chlorophyll-a. The algorithms are described in Signorini SR, et al. (2013). The TA-SSS-SST (Total Alkalinity / Sea Surface Salinity / Sea Surface Temperature) relationships are SSS dependent: SSS < 32.45 TA = (42.6 * SSS) + 815.9 SSS >= 32.45 TA = (61.9 * SSS) + 190.0 These linear relationships are based on coastal cruises GOMECC 1 and 2 data and account for non-zero alkalinity from riverine outflows for the low salinity algorithm (Wang et al. 2017). Data Sources 2014-2017: SST http://data.remss.com/SST/daily/mw_ir/v05.0/netcdf/ SSS https://hycom.org/data/glba0pt08/expt-91pt2 Chl‑a https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/4km/chlor_a/ Data Sources 2018 to 2020: SST ftp://ftp.remss.com/sst/daily/mw_ir/v05.0/netcdf/ SSS ftp://ftp.remss.com/smap/SSS/V04.0/FINAL/L3/monthly/2019/ Chl‑a https://oceandata.sci.gsfc.nasa.gov/VIIRS-SNPP/Mapped/Monthly/4km/chlor_a/ Wang, Z. A., G. L. Lawson, C. H. Pilskaln, and A. E. Maas (2017), Seasonal controls of aragonite saturation states in the Gulf of Maine, J. Geophys. Res. Oceans, 122, https://doi.org/10.1002/2016JC012373. Parameter or Variable: pH; Abbreviation: pH; Observation type: Model output; In-situ / Manipulation / Response variable: response variable; Measured or calculated: Calculated; Detailed sampling and analyzing information: Algorithms are derived to determine the partial pressure of CO2 (pCO2) in surface water for five different regions on the east coast. These algorithms use optimally interpolated sea surface temperature (SST) products that merge multiple satellites, sea surface salinity (SSS) and chlorophyll-a. The algorithms are described in Signorini SR, et al. (2013). Using the computed pCO2 and TA all other variables were computed using standard CO2SYS algorithms. Signorini, S. R., A. Mannino, R. G. Najjar, Jr., M. A. M. Friedrichs, W.-J. Cai, J. Salisbury, Z. Al-eck Wang, H. Thomas, and E. Shadwick (2013), Surface ocean pCO2 seasonality and sea-air CO2 flux estimates for the North American east coast, J. Geophys. Res. Oceans, 118, 5439-5460, https://doi.org/10.1002/jgrc.20369. Parameter or Variable: Surface Aqueous Partial Pressure of CO2; Abbreviation: pCO2; Observation type: Model output; In-situ / Manipulation / Response variable: response variable; Measured or calculated: Calculated; Detailed sampling and analyzing information: Algorithms are derived to determine the partial pressure of CO2 (pCO2) in surface water for five different regions on the east coast. These algorithms use optimally interpolated sea surface temperature (SST) products that merge multiple satellites, sea surface salinity (SSS) and chlorophyll-a. The algorithms are described in Signorini SR, et al. (2013). Data Sources 2014-2017: SST http://data.remss.com/SST/daily/mw_ir/v05.0/netcdf/ SSS https://hycom.org/data/glba0pt08/expt-91pt2 Chl‑a https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/4km/chlor_a/ Data Sources 2018 to 2020: SST ftp://ftp.remss.com/sst/daily/mw_ir/v05.0/netcdf/2019/ SSS ftp://ftp.remss.com/smap/SSS/V04.0/FINAL/L3/monthly/2019/ Chl‑a https://oceandata.sci.gsfc.nasa.gov/VIIRS-SNPP/Mapped/Monthly/4km/chlor_a/ Signorini, S. R., A. Mannino, R. G. Najjar, Jr., M. A. M. Friedrichs, W.-J. Cai, J. Salisbury, Z. Al-eck Wang, H. Thomas, and E. Shadwick (2013), Surface ocean pCO2 seasonality and sea-air CO2 flux estimates for the North American east coast, J. Geophys. Res. Oceans, 118, 5439-5460, https://doi.org/10.1002/jgrc.20369. Parameter or Variable: Aragonite saturation state; Abbreviation: omegaAr; Observation type: Model output; In-situ / Manipulation / Response variable: response variable; Measured or calculated: Calculated; Detailed sampling and analyzing information: Algorithms are derived to determine the partial pressure of CO2 (pCO2) in surface water for five different regions on the east coast. These algorithms use optimally interpolated sea surface temperature (SST) products that merge multiple satellites, sea surface salinity (SSS) and chlorophyll-a. The algorithms are described in Signorini SR, et al. (2013). The TA-SSS-SST (Total Alkalinity / Sea Surface Salinity / Sea Surface Temperature) relationships are SSS dependent: SSS < 32.45 TA = (42.6 * SSS) + 815.9 SSS >= 32.45 TA = (61.9 * SSS) + 190.0 These linear relationships are based on coastal cruises GOMECC 1 and 2 data and account for non-zero alkalinity from riverine outflows for the low salinity algorithm (Wang et al. 2017). Using the computed pCO2 and TA all other variables were computed using standard CO2SYS algorithms. Data Sources 2014-2017: SST http://data.remss.com/SST/daily/mw_ir/v05.0/netcdf/ SSS https://hycom.org/data/glba0pt08/expt-91pt2 Chl‑a https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/4km/chlor_a/ Data Sources 2018 to 2020: SST ftp://ftp.remss.com/sst/daily/mw_ir/v05.0/netcdf/2019/ SSS ftp://ftp.remss.com/smap/SSS/V04.0/FINAL/L3/monthly/2019/ Chl‑a https://oceandata.sci.gsfc.nasa.gov/VIIRS-SNPP/Mapped/Monthly/4km/chlor_a/ Signorini, S. R., A. Mannino, R. G. Najjar, Jr., M. A. M. Friedrichs, W.-J. Cai, J. Salisbury, Z. Al-eck Wang, H. Thomas, and E. Shadwick (2013), Surface ocean pCO2 seasonality and sea-air CO2 flux estimates for the North American east coast, J. Geophys. Res. Oceans, 118, 5439-5460, https://doi.org/10.1002/jgrc.20369. Wang, Z. A., G. L. Lawson, C. H. Pilskaln, and A. E. Maas (2017), Seasonal controls of aragonite saturation states in the Gulf of Maine, J. Geophys. Res. Oceans, 122, https://doi.org/10.1002/2016JC012373. Parameter or Variable: Calcite saturation state; Abbreviation: omegaCa; Observation type: Model output; In-situ / Manipulation / Response variable: response variable; Measured or calculated: Calculated; Detailed sampling and analyzing information: Algorithms are derived to determine the partial pressure of CO2 (pCO2) in surface water for five different regions on the east coast. These algorithms use optimally interpolated sea surface temperature (SST) products that merge multiple satellites, sea surface salinity (SSS) and chlorophyll-a. The algorithms are described in Signorini SR, et al. (2013). The TA-SSS-SST (Total Alkalinity / Sea Surface Salinity / Sea Surface Temperature) relationships are SSS dependent: SSS < 32.45 TA = (42.6 * SSS) + 815.9 SSS >= 32.45 TA = (61.9 * SSS) + 190.0 These linear relationships are based on coastal cruises GOMECC 1 and 2 data and account for non-zero alkalinity from riverine outflows for the low salinity algorithm (Wang et al. 2017). Using the computed pCO2 and TA all other variables were computed using standard CO2SYS algorithms. Data Sources 2014-2017: SST http://data.remss.com/SST/daily/mw_ir/v05.0/netcdf/ SSS https://hycom.org/data/glba0pt08/expt-91pt2 Chl‑a https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/4km/chlor_a/ Data Sources 2018 to 2020: SST ftp://ftp.remss.com/sst/daily/mw_ir/v05.0/netcdf/2019/ SSS ftp://ftp.remss.com/smap/SSS/V04.0/FINAL/L3/monthly/2019/ Chl‑a https://oceandata.sci.gsfc.nasa.gov/VIIRS-SNPP/Mapped/Monthly/4km/chlor_a/ Signorini, S. R., A. Mannino, R. G. Najjar, Jr., M. A. M. Friedrichs, W.-J. Cai, J. Salisbury, Z. Al-eck Wang, H. Thomas, and E. Shadwick (2013), Surface ocean pCO2 seasonality and sea-air CO2 flux estimates for the North American east coast, J. Geophys. Res. Oceans, 118, 5439-5460, https://doi.org/10.1002/jgrc.20369. Wang, Z. A., G. L. Lawson, C. H. Pilskaln, and A. E. Maas (2017), Seasonal controls of aragonite saturation states in the Gulf of Maine, J. Geophys. Res. Oceans, 122, https://doi.org/10.1002/2016JC012373. asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. NOAA National Centers for Environmental Information custodian satellite sensor - general satellite sensor - general A generic class used for unknown satellite sensor type, or datasets consisting of blended, merged, or otherwise mixed observations from multiple satellite sensor types