This dataset consists of dissolved inorganic carbon, total alkalinity, water temperature and salinity from laboratory analyzed discrete water samples taken at the Central Gulf of Mexico Ocean Observing System buoy moored at 28.9N, 90.5W off Coastal Louisiana from 2017-07-14 to 2022-02-20. These are validation samples for the NOAA Pacific Marine Environmental Laboratory (PMEL) Moored Autonomous pCO2 (MAPCO2®) system buoy CoastalLA_91W_30N, that includes SeaBird CTD and SAMI pH instruments.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification on the Tampa Bay estuary located in west central Florida and eastern Gulf of Mexico. Discrete seawater samples were collected periodically (every few weeks to months) at repeat monitoring locations. Water samples were analyzed by the USGS Carbon Analytical Laboratory in St. Petersburg Florida. This dataset contains time series measurements of carbonate system parameters including: water temperature (Celsius, C), salinity, dissolved oxygen (milligrams/L), total alkalinity (TA, micromoles/kg), dissolved inorganic carbon (DIC, micromoles/kg), pHT (pH on the total scale), nitrate + nitrite (NO3+NO2, micromoles/L), nitrite (NO2, micromoles/L), silicate (SIL, micromoles/L), ammonium (NH4, micromoles/L) and phosphate (PO4, micromoles/L).

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification in the Gulf of Mexico near the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 3 (OCSv3) deployed on the University of South Florida (USF), Coastal Ocean Monitoring and Prediction System (COMPS) Buoy C12. The OCSv3 consists of four sensors integrated into a Sea-Bird Scientific STOR-X submersible data logger including a Sea-Bird SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification in the Gulf of Mexico near the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 3 (OCSv3) deployed on the University of South Florida (USF), Coastal Ocean Monitoring and Prediction System (COMPS) Buoy C12. The OCSv3 consists of four sensors integrated into a Sea-Bird Scientific STOR-X submersible data logger including a Sea-Bird SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

The NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) through a collaboration with the National Park Service collected ocean acidification discreet samples at select National Parks sites along the East Coast of the United States and in the Gulf of Mexico to increase near-shore data collection on a bi-annual frequency. Whenever possible, sample collection is coordinated with the OAP-funded GOMECC and ECOA cruises.

This dataset contains monthly-averaged surface fields of temperature, salinity, total alkalinity (TA), and dissolved inorganic carbon (DIC) derived from the GoMBio model for 1981-2014. GoMBio is a ROMS-based 8-km resolution ocean-biogeochemical model encompassing the entire Gulf of Mexico. Model details can be found in Gomez et al. (2018; https://doi.org/10.5194/bg-15-3561-2018) and Gomez et al. (2020; https://doi.org/10.5194/bg-17-1685-2020). We include the results of four model experiments: (1) model hindcast, (2) climatological Mississippi-Atchafalaya chemistry experiment (CLM_MC), (3) climatological river experiment (CLM_RIV), and (4) climatological forcing experiment (CLM_FORC). The model hindcast experiment was forced with surface fluxes of momentum, heat, and freshwater from the European Center for Medium Range Weather Forecast reanalysis product (ERA-Interim). We prescribed a time-evolving monthly series of freshwater discharge for 28 river sources in the U.S., and a climatological discharge for 10 rivers in the U.S. and 11 rivers in Mexico. We also prescribed time evolving concentration of nutrients, TA, and DIC for the Mississippi and Atchafalaya River System (MARS), and long-term climatological values for the other river sources. The CLM_MC and CLM_RIV experiments are like the model hindcast, but the river inputs were modified to evaluate the model sensitivity to changes in river runoff. In the CLM_MC experiment we used a monthly climatology for the MARS. In the CLM_RIV experiment we used climatological river discharge values for all rivers, as well as the climatological chemistry for the MARS. Finally, in the CLM_FORC experiment, we prescribed climatological patterns for rivers, surface fluxes and the open boundary conditions. The only exceptions were the atmospheric CO2 and the open boundary conditions for DIC, which varied as in the model hindcast. This last experiment was conducted to examine the influence of climate variability in ocean acidification patterns.

This NCEI Accession consists of discrete measurements of dissolved inorganic carbon (DIC), total alkalinity (TA), pH, dissolved oxygen, water temperature, salinity sampled in the National Park Service coastal sites along the Gulf Region and East Coast of the United States from 2024-07-02 to 2024-09-16. The NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) through a collaboration with the National Park Service collected ocean acidification discrete samples at select National Parks along the East Coast of the US and in the Gulf Region to increase near-shore data collection on a bi-annual frequency. Whenever possible, sample collection is coordinated with the OAP-funded GOMECC and ECOA cruises.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification on the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 2 (OCSv2) deployed on the seafloor in Tampa Bay. The OCSv2 consists of four sensors integrated into a Sea-Bird Scientific (Satlantic) STOR-X submersible data logger including a Satlantic SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.