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  • 1
    Publication Date: 2024-02-17
    Keywords: 316420120528; 316420120528-moor; Algorithm; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Monitoring station; Mooring (long time); MOORY; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pressure, atmospheric, interpolated; Pressure at equilibration; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; xCO2 (air), interpolated; xCO2 (water) at sea surface temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 49938 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-17
    Keywords: 316420120614; 316420120614-moor; Algorithm; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Monitoring station; Mooring (long time); MOORY; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pressure, atmospheric, interpolated; Pressure at equilibration; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; xCO2 (air), interpolated; xCO2 (water) at sea surface temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 15032 data points
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  • 3
    Publication Date: 2024-02-17
    Keywords: 316420130711-2; 316420130711-2-moor; Algorithm; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Monitoring station; Mooring (long time); MOORY; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pressure, atmospheric, interpolated; Pressure at equilibration; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; WHOTS_158W_23N_Jul2013_Jul2014; xCO2 (air), interpolated; xCO2 (water) at sea surface temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 42018 data points
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  • 4
    Publication Date: 2024-05-02
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCAT version 6 has 23.4 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 424 datasets
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  • 5
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    Elsevier
    In:  Deep Sea Research Part I: Oceanographic Research Papers, 52 (5). pp. 749-765.
    Publication Date: 2021-03-23
    Description: Surface meteorology, upper ocean current, and hydrographic measurements, collected along a repeated survey pattern and from a central mooring in the western equatorial Pacific during late 1992 to early 1993, were used to analyse upper ocean momentum balances on the intraseasonal time scale. Wind stresses derived from meteorological measurements were compared with numerical weather prediction products. Advection terms in the momentum equations were estimated by planar fits to the current and hydrographic data. Pressure gradient terms were derived from planar fits to the dynamic heights calculated from the hydrographic data, referenced by balancing the momentum equation in a selected layer below the mixed layer. Under prevailing westerly winds, westward pressure gradient forcings of 2 x 10 -7 ms -2 were set up in the western equatorial Pacific, countering the surface wind, while the total advection tended to accelerate the eastward momentum in the surface layer. During both calm wind and westerly wind burst periods, zonal turbulent momentum fluxes estimated from the ocean budgets were comparable with those estimated from microstructure dissipation rate measurements and with zonal wind stresses, so that the zonal momentum could be balanced within error bars. The meridional momentum balances were noisier, which might be due to the fact that the short meridional length scale of the equatorial inertial-gravity waves could contaminate the dynamic signals in the mixed temporal/spatial sampling data, so that the meridional gradient estimates from the planar fits could be biased.
    Type: Article , PeerReviewed
    Format: text
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  • 6
    Publication Date: 2023-02-08
    Description: The comparison of equivalent neutral winds obtained from (a) four WHOI buoys in the subtropics and (b) scatterometer estimates at those locations reveals a root-mean-square (RMS) difference of 0.56-0.76 m/s. To investigate this RMS difference, different buoy wind error sources were examined. These buoys are particularly well suited to examine two important sources of buoy wind errors because: (1) redundant anemometers and a comparison with numerical flow simulations allow us to quantitatively assess flow distortion errors, and (2) one-minute sampling at the buoys allows us to examine the sensitivity of buoy temporal sampling/averaging in the buoy-scatterometer comparisons. The inter-anemometer difference varies as a function of wind direction relative to the buoy wind vane and is consistent with the effects of flow distortion expected based on numerical flow simulations. Comparison between the anemometers and scatterometer winds supports the interpretation that the inter-anemometer disagreement, which can be up to 5% of the wind speed, is due to flow distortion. These insights motivate an empirical correction to the individual anemometer records and subsequent comparison with scatterometer estimates show good agreement.
    Type: Article , PeerReviewed
    Format: text
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  • 7
    Publication Date: 2022-01-31
    Description: Ocean boundary current systems are key components of the climate system, are home to highly productive ecosystems, and have numerous societal impacts. Establishment of a global network of boundary current observing systems is a critical part of ongoing development of the Global Ocean Observing System. The characteristics of boundary current systems are reviewed, focusing on scientific and societal motivations for sustained observing. Techniques currently used to observe boundary current systems are reviewed, followed by a census of the current state of boundary current observing systems globally. The next steps in the development of boundary current observing systems are considered, leading to several specific recommendations.
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2022-05-25
    Description: The Barents Sea Polar Front Experiment was a combined physical oceanography and acoustic tomography field study which took place from 6-26 August 1992. Both shipboard and moored data were collected in a 80 x 70 km experimental region on the south flank of Sptisbergen Bank about 60 km east of Bear Island. Of principal interest in this report are the data from an Acoustic Doppler Current Profier (ADCP) which was operated continuously during the experimental period as a part of the shipboard instrumentation aboard the USNS Barlett. The data from eight current meters deployed on three moorings in the experimental region are used to supplement the ADCP analysis. Preliminary results showed that velocities in the experimental region were dominated by semi-diurnal tides. The strong tidal oscilations dictated the use of a tide removal scheme to extract a steady flow component from the space-time grid of ADCP velocities. This report describes the configuration and operation of the ADCP, the space-time sampling grid on which the data were collected, the determination of absolute velocity from the ADCP measurements, and the application and results of a tide removal technique which allowed estimation of the sub-tidal flow.
    Description: Funding was provided by the Office of Naval Research under Grant No. NOOOI4-90-J-1359.
    Keywords: Shipboard ADCP ; Tides ; Bartlett (Ship) Cruise
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: 2735069 bytes
    Format: application/pdf
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  • 9
    Publication Date: 2022-05-25
    Description: This report describes the development of a Data Processing Module (DPM) designed for use with an RD Instruments Acoustic Doppler Current Meter (ADCM). The DPM is a self-powered unit in its own pressure case and its use requires no modification to the current meter. The motivation for this work was the desire for real-time monitoring and data transmission from an ADCM deployed at a remote site. The DPM serves as an interface between the ADCM and a satellite telemetry package consisting of a controller, an Argos Platform Transmit Terminal, and an antenna. The DPM accepts the data stream from the ADCM, processes the data and sends out the processed data upon request from the telemetry controller. The output of the ADCM is processed by eliminating unnecessary data combining quality control information into a small number of summary parameters, and averaging the remaining data in depth and time. For the implementation described here, eight data records of 719 bytes each, output from the ADCM at 15 minute intervals, were processed and averged over 2 hr intervals to produce a 34 byte output array.
    Description: Funding was provided by the Office of Naval Research under Contract No. N00014-89-J-1288.
    Keywords: Satellite telemetry ; Acoustic Doppler Current Profiler ; Argos
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: 2616239 bytes
    Format: application/pdf
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  • 10
    Publication Date: 2022-05-25
    Description: There are strong reasons to gather data on polar oceanogrphy and climatology in real time using fully automated, unattended instrumentation systems for long periods; particularly during the inaccessible winter months when moving ice is extremely hazardous. We deployed an Artic Environmental Drifting Buoy (AEDB) on 4 August 1987 at 86°7'N, 22°3'E off of the FS Polarstern on a large 3.7 m thick ice island. The AEDB consisted of 2 major components: a 147 cm diameter surface float housing ARGOS transmitters and a data logger for ice-profiling thermistors, and a 125 m long mooring line attached to the sphere and fed though a 1m diameter ice hole. Along the mooring were deployed 2 fluorometers, conductivity and temperature loggers, an Acoustic Doppler Current Profiler (ADCP), a current meter, and a time-series sediment trap/micro-filter pump/transmissometer unit. The AEDB proceeded southwesterly with the Transpolar Drift at an average speed of 15.3 km/day, with a maximum speed of 88.8 km/day. On 2 January 1988, the AEDB dropped into the water while passing through the Fram Strait and for the remaining drift period was either free-floating on the water surface or underneath the sea ice. Throughout this period, the transmitters onboard successfully transmitted position, temperature, and strain caused by ice on the sphere. Although the sediment trap package was lost during the drift, valuable data was collected by the other instruments throughout the experiment. The ice thermistor data was used to determine oceanic heat flux, while continuous ADCP observations over the Yermak Plateau provided a wealth of information for understanding internal waves in the ice-covered ocean. The buoy was recovered by the Icelandic ship R/S Arni Fridriksson on 15 April 1988 at 65°17'N, 31°38'W, off southeatern Greenland, completing 3,900km of drift in 255 days. We are in the process of constructing the next automated stations which are planned for deployment in both the north and south polar regions in 1991-92.
    Description: Funding was provided by the Office of Naval Research, through grant Number NOOOI4-87,88,89,J-1288.
    Keywords: Transpolar drift ; Ice ocean environment ; ADCP ; Polarstem (Ship) Cruise ; Arni Fridriksson (Ship) Cruise
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
    Format: 5426126 bytes
    Format: application/pdf
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