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  • 2020-2024  (11)
  • 2020-2022  (2)
  • 2020  (13)
  • 2020  (13)
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  • 2020-2024  (11)
  • 2020-2022  (2)
Year
  • 1
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    Surface cooling caused by rare but intense near-inertial wave induced mixing in the tropical Atlantic (2020)
    In:  [Poster] In: AGU Fall Meeting 2020, 01.-17.12.2020, Online .
    Details
    Publication Date: 2021-05-10
    Description: The direct response of the tropical mixed layer to near-inertial waves (NIWs) has only rarely been observed. Here, we present upper-ocean turbulence data that provide evidence for a strongly elevated vertical diffusive heat flux across the base of the mixed layer in the presence of a NIW, thereby cooling the mixed layer at a rate of 244 W m−2 over the 20 h of continuous measurements. We investigate the seasonal cycle of strong NIW events and find that despite their local intermittent nature, they occur preferentially during boreal summer, presumably associated with the passage of atmospheric African Easterly Waves. We illustrate the impact of these rare but intense NIW induced mixing events on the mixed layer heat balance, highlight their contribution to the seasonal evolution of sea surface temperature, and discuss their potential impact on biological productivity in the tropical North Atlantic.
    Type: Conference or Workshop Item , PeerReviewed
    Location Call Number Limitation Availability
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    OceanRep: Poster
  • 2
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    Mean state and seasonal to interannual variability of the Atlantic Subtropical Cells inferred from recent observations (2020)
    In:  [Talk] In: Ocean Sciences Meeting 2020, 16.-21.02.2020, San Diego, USA .
    Details
    Publication Date: 2020-02-21
    Type: Conference or Workshop Item , NonPeerReviewed
    Location Call Number Limitation Availability
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    OceanRep: Talk
  • 3
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    Surface cooling caused by rare but intense near-inertial wave induced mixing in the tropical Atlantic (2020)
    Nature Research
    Details
    Publication Date: 2023-11-08
    Description: The direct response of the tropical mixed layer to near-inertial waves (NIWs) has only rarely been observed. Here, we present upper-ocean turbulence data that provide evidence for a strongly elevated vertical diffusive heat flux across the base of the mixed layer in the presence of a NIW, thereby cooling the mixed layer at a rate of 244 W m−2 over the 20 h of continuous measurements. We investigate the seasonal cycle of strong NIW events and find that despite their local intermittent nature, they occur preferentially during boreal summer, presumably associated with the passage of atmospheric African Easterly Waves. We illustrate the impact of these rare but intense NIW induced mixing events on the mixed layer heat balance, highlight their contribution to the seasonal evolution of sea surface temperature, and discuss their potential impact on biological productivity in the tropical North Atlantic.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Format: text
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 4
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    Vertical Turbulent Cooling of the Mixed Layer in the Atlantic ITCZ and Trade Wind Regions (2020)
    AGU (American Geophysical Union) | Wiley
    Details
    Publication Date: 2023-02-08
    Description: The causes of the seasonal cycle of vertical turbulent cooling at the base of the mixed layer are assessed using observations from moored buoys in the tropical Atlantic Intertropical Convergence Zone (ITCZ) (4°N, 23°W) and trade wind (15°N, 38°W) regions together with mixing parameterizations and a one-dimensional model. At 4°N the parameterized turbulent cooling rates during 2017–2018 and 2019 agree with indirect estimates from the climatological mooring heat budget residual: both show mean cooling of 25–30 W m (Formula presented.) during November–July, when winds are weakest and the mixed layer is thinnest, and 0–10 W m (Formula presented.) during August–October. Mixing during November–July is driven by variability on multiple time scales, including subdiurnal, near-inertial, and intraseasonal. Shear associated with tropical instability waves (TIWs) is found to generate mixing and monthly mean cooling of 15–30 W m (Formula presented.) during May–July in 2017 and 2019. At 15°N the seasonal cycle of turbulent cooling is out of phase compared to 4°N, with largest cooling of up to 60 W m (Formula presented.) during boreal fall. However, the relationships between wind speed, mixed layer depth, and turbulent mixing are similar: weaker mean winds and a thinner mixed layer in the fall are associated with stronger mixing and turbulent cooling of SST. These results emphasize the importance of seasonal modulations of mixed layer depth at both locations and shear from TIWs at 4°N.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 5
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    Sustainable Observations of the AMOC: Methodology and Technology (2020)
    AGA (American Genetic Association) | Wiley
    Details
    Publication Date: 2023-02-08
    Description: The Atlantic Meridional Overturning Circulation (AMOC) is a key mechanism of heat, freshwater, and carbon redistribution in the climate system. The precept that the AMOC has changed abruptly in the past, notably during and at the end of the last ice age, and that it is “very likely” to weaken in the coming century due to anthropogenic climate change is a key motivation for sustained observations of the AMOC. This paper reviews the methodology and technology used to observe the AMOC and assesses these ideas and systems for accuracy, shortcomings, potential improvements, and sustainability. We review hydrographic techniques and look at how these traditional techniques can meet modern requirements. Transport mooring arrays (TMAs) provide the “gold standard” for sustained AMOC observing, utilizing dynamic height, current meter, and other instrumentation and techniques to produce continuous observations of the AMOC. We consider the principle of these systems and how they can be sustained and improved into the future. Techniques utilizing indirect measurements, such as satellite altimetry, coupled with in situ measurements, such as the Argo float array, are also discussed. Existing technologies that perhaps have not been fully exploited for estimating AMOC are reviewed and considered for this purpose. Technology is constantly evolving, and we look to the future of technology and how it can be deployed for sustained and expanded AMOC measurements. Finally, all of these methodologies and technologies are considered with a view to a sustained and sustainable future for AMOC observation.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 6
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    Physical oceanography from mooring KPO_1142 part 2 (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: GEOMAR moorings are typically equipped with instruments recording pressure, temperature, conductivity, dissolved oxygen and current velocity. Instruments with pressure, temperature, conductivity and oxygen sensors were calibrated in situ immediately prior to and after a mooring deployment period by attaching them to the CTD frame during CTDO casts. Correction terms were then developed from the difference between the sensor readings and the calibrated CTDO data during several minute long calibration stops. These correction terms were then applied to the full deployment periods. This ensured best data quality with recognition of potential sensor drifts and also allowed for the estimation of calibration and measurement errors (Hahn et al. 2014, Bittig et al. 2018, Berx et al. 2019). Moored Acoustic Doppler Current Profiler bin depths were corrected using the sound speed at instrument depth following the approach by Shcherbina et al. (2005). Velocities were not corrected, but respective measurement errors were assumed as described in Hahn et al. (2014). For all instruments within a mooring that did not record pressure, full deployment pressure time series were estimated by linearly interpolating between the instruments having a pressure sensor.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_1142; M119; M119_717-1; M130; M130_1006-1; Meteor (1986); MOOR; Mooring; Oxygen; Pressure, water; Salinity; Sample code/label; SFB754; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4719057 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Physical oceanography from mooring KPO_1201 (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: GEOMAR moorings are typically equipped with instruments recording pressure, temperature, conductivity, dissolved oxygen and current velocity. Instruments with pressure, temperature, conductivity and oxygen sensors were calibrated in situ immediately prior to and after a mooring deployment period by attaching them to the CTD frame during CTDO casts. Correction terms were then developed from the difference between the sensor readings and the calibrated CTDO data during several minute long calibration stops. These correction terms were then applied to the full deployment periods. This ensured best data quality with recognition of potential sensor drifts and also allowed for the estimation of calibration and measurement errors (Hahn et al. 2014, Bittig et al. 2018, Berx et al. 2019).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_1201; M145; M145_52-1; M158; M158_187-1; Meteor (1986); MOOR; Mooring; Oxygen; Pressure, water; Salinity; Sample code/label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6723516 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    Physical oceanography from mooring KPO_1140 (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: GEOMAR moorings are typically equipped with instruments recording pressure, temperature, conductivity, dissolved oxygen and current velocity. Instruments with pressure, temperature, conductivity and oxygen sensors were calibrated in situ immediately prior to and after a mooring deployment period by attaching them to the CTD frame during CTDO casts. Correction terms were then developed from the difference between the sensor readings and the calibrated CTDO data during several minute long calibration stops. These correction terms were then applied to the full deployment periods. This ensured best data quality with recognition of potential sensor drifts and also allowed for the estimation of calibration and measurement errors (Hahn et al. 2014, Bittig et al. 2018, Berx et al. 2019). Moored Acoustic Doppler Current Profiler bin depths were corrected using the sound speed at instrument depth following the approach by Shcherbina et al. (2005). Velocities were not corrected, but respective measurement errors were assumed as described in Hahn et al. (2014). For all instruments within a mooring that did not record pressure, full deployment pressure time series were estimated by linearly interpolating between the instruments having a pressure sensor.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_1140; M119; M119_778-1; M130; M130_1073-1; Meteor (1986); MOOR; Mooring; Oxygen; Pressure, water; Salinity; Sample code/label; SFB754; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4392584 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
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    Physical oceanography from mooring KPO_1169 (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: GEOMAR moorings are typically equipped with instruments recording pressure, temperature, conductivity, dissolved oxygen and current velocity. Instruments with pressure, temperature, conductivity and oxygen sensors were calibrated in situ immediately prior to and after a mooring deployment period by attaching them to the CTD frame during CTDO casts. Correction terms were then developed from the difference between the sensor readings and the calibrated CTDO data during several minute long calibration stops. These correction terms were then applied to the full deployment periods. This ensured best data quality with recognition of potential sensor drifts and also allowed for the estimation of calibration and measurement errors (Hahn et al. 2014, Bittig et al. 2018, Berx et al. 2019). Moored Acoustic Doppler Current Profiler bin depths were corrected using the sound speed at instrument depth following the approach by Shcherbina et al. (2005). Velocities were not corrected, but respective measurement errors were assumed as described in Hahn et al. (2014). For all instruments within a mooring that did not record pressure, full deployment pressure time series were estimated by linearly interpolating between the instruments having a pressure sensor.
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_1169; M130; M130_1137-1; M145; M145_95-1; Meteor (1986); MOOR; Mooring; Pressure, water; Salinity; Sample code/label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 47184 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Physical oceanography from mooring KPO_1170 (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: GEOMAR moorings are typically equipped with instruments recording pressure, temperature, conductivity, dissolved oxygen and current velocity. Instruments with pressure, temperature, conductivity and oxygen sensors were calibrated in situ immediately prior to and after a mooring deployment period by attaching them to the CTD frame during CTDO casts. Correction terms were then developed from the difference between the sensor readings and the calibrated CTDO data during several minute long calibration stops. These correction terms were then applied to the full deployment periods. This ensured best data quality with recognition of potential sensor drifts and also allowed for the estimation of calibration and measurement errors (Hahn et al. 2014, Bittig et al. 2018, Berx et al. 2019).
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_1170; KPO_1170?; M130; M130_1134-1; M145; M145_93-1; Meteor (1986); MOOR; Mooring; Pressure, water; Salinity; Sample code/label; SFB754; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6683363 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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