http://lod.bco-dmo.org/id/dataset/821294
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2020-08-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Spectral analyses of high-frequency data during two hour-long periods from the ECHOES system deployed at three sites in the Florida Keys in June 2018
2020-08-19
publication
2020-08-19
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-08-20
publication
https://doi.org/10.26008/1912/bco-dmo.821294.1
Matthew H. Long
Woods Hole Oceanographic Institution
principalInvestigator
Daniel C. McCorkle
Woods Hole Oceanographic Institution
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Long, M., McCorkle, D. (2020) Spectral analyses of high-frequency data during two hour-long periods from the ECHOES system deployed at three sites in the Florida Keys in June 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-08-19 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.821294.1 [access date]
Spectral analyses of high-frequency data during two hour-long periods of the ECHOES deployment in the Florida Keys Dataset Description: <p>An eddy covariance system, known as ECHOES, was deployed at three sites offshore of Key Largo, Florida during June 2018. The ECHOES systems logged the three-dimensional velocity, depth, O2 optode, pH sensor, and triaxial Inertial Measurement Unit. A separate frame at each site contained a photosynthetically active radiation (PAR) sensor and a Seabird SeapHOx, measuring salinity, temperature, depth, O<sub>2</sub>, and pH. This dataset contains the&nbsp;spectral analyses (power spectra and cross power spectral density (CPSD)) of high-frequency data (turbulence; momentum, oxygen and hydrogen ion fluxes) from two hour-long periods during a high-energy wave period (Hr 38) and a low-energy wave period (Hr 116).</p> Methods and Sampling: <p><strong>Background</strong><br />
The basis for the eddy covariance (EC) technique is that turbulent mixing, caused by the interaction of current velocity with the benthic, atmospheric, sea-ice, or cline interfaces, is the dominant vertical transport process in boundary layers. Therefore, vertical fluxes across the ecosystem interfaces can be derived from high-resolution measurements of the vertical velocity and a solute concentration.</p>
<p><strong>Field Sites</strong><br />
The field sites were located ~7 km offshore of Key Largo, Florida, USA at the southern tip of Florida in the Florida Keys. The sites were located on or adjacent to Little Grecian Rocks Reef with a site on the reef crest (25.119016°N, -80.300504°W) at 2.9 m mean depth, in a seagrass bed located ~225 m to the northwest of the reef site (25.120328°N, -80.302222°W) at 4.8 m mean depth, and in a sandy site located ~300 m to the southwest of the reef site (25.117320°N, -80.303069°W) at 6.3 m mean depth. The reef site is described in substantial detail (3-dimensional and species analyses) in Hopkinson et al. (2020), where the EC instrument can be seen near the center of the image analyses (in Figure 6 of Hopkinson et al. 2020) during its deployment in this study. This reef site is substantially degraded with its benthic surface and primary production dominated by octocorals, algae and rubble (Hopkinson et al. 2020). The seagrass site was dominated by dense Thalassia testudinum (turtlegrass) with a canopy height of 0.2 m underlain by carbonate sands. The sandy site was composed of carbonate sands with microalgal mats and migrating bedforms 0.1 m in height. Research was conducted from June 24 to June 29 in 2018 with the seagrass deployment beginning on the 24th and the sand and reef deployment beginning on the 25th of June, 2018.</p>
<p><strong>Instrumentation</strong><br />
The EC systems used here, known as Eddy Covariance Hydrogen Ion and Oxygen Exchange&nbsp;System (ECHOES, Long et al. 2015) consisted of an Acoustic Doppler Velocimeter (ADV, Nortek) that was coupled to a FirestingO₂ Mini fiber-optic O₂ meter with a fast-response (~ 0.3 s) 430 µm diameter optode (Pyroscience) (Long et al. 2015, Long and Nicholson 2018, Long et al. 2019) and a fast-response (~0.6 s) Honeywell Durafet III pH sensor with a preamp Cap Adapter and a custom isolation amplifier (based on Texas Instruments ISO124P).</p>
<p>The ECHOES systems logged the three-dimensional velocity, depth, O₂ optode, pH sensor, and triaxial Inertial Measurement Unit (IMU, MicroStrain model 3DM-GX3) at a frequency of 32 Hz continuously. Using 6 rechargeable lithium ion batteries (50 Watt h, Nortek #220007), the system could operate continuously for ~4.5 days. All instrumentation was mounted to a light-weight, passively rotating carbon fiber frame. A bubble level affixed to the ADV mount allowed for precise leveling during field deployment by SCUBA divers. Stakes (sand and seagrass sites) or lead weights and zip ties (reef site) maintained instrument location and orientation. The measurement height, or location of the ADV measuring volume and sensors, above the sediment surface was determined by placing it at a height that was greater than twice the canopy or bedform height as recommended by terrestrial EC guidelines where twice the canopy height, and up to 5 times the canopy height in patchy environments, is recommended (Burba and Anderson 2010, Long et al. 2015).</p>
<p>The microfluidic flow-through sensor design has a small volume (0.33 cm³) and a KNF Micropump (model NF10) with a flow rate (100 mL min⁻¹) that combine to have a quick flush rate (5 Hz) while protecting and preventing light interference for both O₂ and pH sensors. The microfluidic intake was located 0.025 m behind the ADV measuring volume (see Donis et al. 2015, Berg et al. 2015) to prevent disruption of ADV-measured flow rates (Long et al. 2015). The microfluidic housing mounted tightly over the Durafet III sensor tip and has a small chamber for inserting the O₂ optode, that is located at the end of a 0.04 m long, 0.003 m inside diameter copper intake tube and filter, with the outlet of the microfluidic chamber connected to the pump intake. A passive flow meter (0-100 ml min⁻¹) connected to the pump outlet was used to confirm pumping rates during deployment.</p>
<p>A separate frame at each site contained an Odyssey (Dataflow Systems, New Zealand) photosynthetically active radiation (PAR) sensor and a Seabird SeapHOx (measuring salinity, temperature, depth, O₂, and pH). The SeapHOx was factory calibrated and the Odyssey PAR sensors were calibrated to a HR-4 spectroradiometer system (HOBI Labs HydroRAD-4) using the methods of Long et al. (2012).</p>
<p><strong>Eddy Covariance Analysis</strong><br />
The 32 Hz data were averaged to 8 Hz for analysis. The ECHOES O₂ and pH sensors were calibrated to the slow-response SeapHOx sensors by least-squares regression. The ADV velocity data was removed from analysis when the beam correlation was &lt; 50%. The means for Reynolds decomposition were determined using a 5 minute moving average window. The period over which the flux was determined, or burst length, was 15 minutes, with subsequent averaging to hourly rates. Rotations were conducted automatically by Nortek software (Vector v1.39.09) to East, North, and Up coordinates based on the IMU data (see Long and Nicholson 2018) followed by a planar rotation (see Lorke et al. 2013) for each instrument deployment.</p>
<p>Standard eddy covariance analysis was conducted to calculate O₂, H⁺, and momentum fluxes. Cross Power Spectral Densities were also used to calculate O₂, H⁺ and momentum fluxes and were determined with the Matlab function "CPSD", with the removal of wave frequencies conducted by accumulating the CPSD at frequencies below approximately 1/(2T<sub>d</sub>). A storage correction was applied to all biogeochemical fluxes due to the presence of biological canopies and the high measuring heights used (Lorrai et al. 2010, Rheuban et al. 2014, Long and Nicholson 2018). Power spectral densities were determined using the Matlab function "PWELCH". The T<sub>d</sub> was determined by finding the maximum of the momentum CPSD at the frequencies where the waves were expected for the study sites (e.g. 0.1 &gt; Hz &lt; 1).</p>
<p>Refer to the Supplemental File "ECHOES_methods_FL2018.pdf" for the equations used to determine wave velocities and O₂, H⁺, and momentum fluxes.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1657727 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1657727
completed
Matthew H. Long
Woods Hole Oceanographic Institution
508-289-2798
Department of Marine Chemistry and Geochemistry MS #25, 266 Woods Hole Rd.
Woods Hole
MA
02543
USA
mlong@whoi.edu
pointOfContact
Daniel C. McCorkle
Woods Hole Oceanographic Institution
508-289-2949
Geology & Geophysics 266 Woods Hole Rd MS #08
Woods Hole
MA
02543
USA
dmccorkle@whoi.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
site
lat
lon
Hz_for_Hour_116
Cumulative_O2_CPSD_from_Hour_116
Cumulative_H_CPSD_from_Hour_116
Cumulative_Momentum_CPSD_from_Hour_116
Vertical_Velocity_Power_Spectra_from_Hour_116
Horizontal_Velocity_Power_Spectra_from_Hour_116
O2_Power_Spectra_from_Hour_116
H_Power_Spectra_from_Hour_116
Hz_for_Hour_38
Cumulative_O2_CPSD_from_Hour_38
Cumulative_H_CPSD_from_Hour_38
Cumulative_Momentum_CPSD_from_Hour_38
Vertical_Velocity_Power_Spectra_from_Hour_38
Horizontal_Velocity_Power_Spectra_from_Hour_38
O2_Power_Spectra_from_Hour_38
H_Power_Spectra_from_Hour_38
Acoustic Doppler Velocimeter (ADV, Nortek)
triaxial Inertial Measurement Unit (IMU, MicroStrain model 3DM-GX3)
FirestingO2 Mini fiber-optic O2 meter
Honeywell Durafet III pH sensor
KNF Micropump (model NF10)
theme
None, User defined
site
latitude
longitude
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
Acoustic Doppler Velocimeter
Microstrain 3DM-GX1 Gyro Enhanced Orientation Sensor
Oxygen Sensor
pH Sensor
Pump
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Carbon Cycling in Carbonate-Dominated Benthic Ecosystems: Eddy Covariance Hydrogen Ion and Oxygen Fluxes
https://www2.whoi.edu/staff/mlong/projects/project-4/
Carbon Cycling in Carbonate-Dominated Benthic Ecosystems: Eddy Covariance Hydrogen Ion and Oxygen Fluxes
<p>NSF Award Abstract:</p>
<p>Chemical and biological processes that occur in and on the seafloor can create chemical exchange of elements with seawater and make significant contributions to carbon and nutrient cycling in shallow coastal systems. However, these processes are exceedingly difficult to measure directly in the ocean, with no satisfactory methods currently available to quantify their full impact. The researchers undertaking this project have developed a unique, field instrument referred to as the Eddy Covariance H+ and O2 Exchange System (ECHOES). These novel measurements of hydrogen ion (H+) and oxygen (O2) exchange between the seafloor and the overlying seawater will allow unique, direct evaluation of the important linked biological and chemical reactions. Data from ECHOES will transform understanding of the potentially critical contribution of seafloor processes to the resilience of coastal ecosystems experiencing rapid changes in seawater chemistry. Results from this project will provide critical data for improved models of the consequences of coastal acidification. Additionally, this project will fund an early career scientist and the mentorship of undergraduate students in ocean science research through the Woods Hole Oceanographic Institute's Summer Student Fellowship Program.</p>
<p>Laboratory experiments have successfully examined the benthic response of individual organisms and chemical reactions to stress related to changing seawater chemistry but the integrated response of intact ecosystems has been very difficult to quantify due to unsatisfactory methods for in situ measurements of the required suite of biogeochemical fluxes. This deployment of ECHOES at a variety of carbonate-dominated seafloor sites in Bermuda is a pioneering effort to simultaneously measure net community production (NCP) and net community calcification (NCC). The study will focus on traditionally difficult-to-study systems including complex reefs, vertical seagrass canopies, and bare permeable sediments, evaluating diel variability, patchiness, and the impact of upstream fluxes on downstream ecosystems. Important biogeochemical parameters (e.g. pH, CO2, O2, alkalinity, etc.) in these productive shallow environments can experience daily fluctuations over a greater dynamic range than 100-year model projections for the open ocean due to increasing atmospheric CO2. Therefore, the novel field data generated by this research will help define the potentially critical and heretofore ill-defined role for shallow, productive carbonate sediments in predictive models of ecosystem response to ocean acidification.</p>
ECHOES Benthic Ecosystems
largerWorkCitation
project
eng; USA
oceans
-80.303069
-80.300504
25.11732
25.120328
2018-06-24
2018-06-29
Bermuda
0
BCO-DMO catalogue of parameters from Spectral analyses of high-frequency data during two hour-long periods from the ECHOES system deployed at three sites in the Florida Keys in June 2018
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/821308.rdf
Name: site
Units: unitless
Description: <p>Site description</p>
http://lod.bco-dmo.org/id/dataset-parameter/821309.rdf
Name: lat
Units: decimal degrees North
Description: <p>Site latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/821310.rdf
Name: lon
Units: decimal degrees East
Description: <p>Site longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/821311.rdf
Name: Hz_for_Hour_116
Units: Hz
Description: <p>Hz for Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821312.rdf
Name: Cumulative_O2_CPSD_from_Hour_116
Units: normalized (0-1)
Description: <p>Cumulative O2 CPSD from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821313.rdf
Name: Cumulative_H_CPSD_from_Hour_116
Units: normalized (0-1)
Description: <p>Cumulative H CPSD from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821314.rdf
Name: Cumulative_Momentum_CPSD_from_Hour_116
Units: normalized (0-1)
Description: <p>Cumulative Momentum CPSD from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821315.rdf
Name: Vertical_Velocity_Power_Spectra_from_Hour_116
Units: (m s-1)^2
Description: <p>Vertical Velocity Power Spectra from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821316.rdf
Name: Horizontal_Velocity_Power_Spectra_from_Hour_116
Units: (m s-1)^2
Description: <p>Horizontal Velocity Power Spectra from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821317.rdf
Name: O2_Power_Spectra_from_Hour_116
Units: (uMol L-1)^2
Description: <p>O2 Power Spectra from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821318.rdf
Name: H_Power_Spectra_from_Hour_116
Units: (uMol L-1)^2
Description: <p>H Power Spectra from Hour 116</p>
http://lod.bco-dmo.org/id/dataset-parameter/821319.rdf
Name: Hz_for_Hour_38
Units: Hz
Description: <p>Hz for Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821320.rdf
Name: Cumulative_O2_CPSD_from_Hour_38
Units: normalized (0-1)
Description: <p>Cumulative O2 CPSD from Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821321.rdf
Name: Cumulative_H_CPSD_from_Hour_38
Units: normalized (0-1)
Description: <p>Cumulative H CPSD from Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821322.rdf
Name: Cumulative_Momentum_CPSD_from_Hour_38
Units: normalized (0-1)
Description: <p>Cumulative Momentum CPSD from Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821323.rdf
Name: Vertical_Velocity_Power_Spectra_from_Hour_38
Units: (m s-1)^2
Description: <p>Vertical Velocity Power Spectra from Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821324.rdf
Name: Horizontal_Velocity_Power_Spectra_from_Hour_38
Units: (m s-1)^2
Description: <p>Horizontal Velocity Power Spectra from Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821325.rdf
Name: O2_Power_Spectra_from_Hour_38
Units: (uMol L-1)^2
Description: <p>O2 Power Spectra from Hour 38</p>
http://lod.bco-dmo.org/id/dataset-parameter/821326.rdf
Name: H_Power_Spectra_from_Hour_38
Units: (uMol L-1)^2
Description: <p>H Power Spectra from Hour 38</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
1812950
https://darchive.mblwhoilibrary.org/bitstream/1912/26093/1/dataset-821294_florida-keys-spectral-analyses__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.821294.1
download
onLine
dataset
<p><strong>Background</strong><br />
The basis for the eddy covariance (EC) technique is that turbulent mixing, caused by the interaction of current velocity with the benthic, atmospheric, sea-ice, or cline interfaces, is the dominant vertical transport process in boundary layers. Therefore, vertical fluxes across the ecosystem interfaces can be derived from high-resolution measurements of the vertical velocity and a solute concentration.</p>
<p><strong>Field Sites</strong><br />
The field sites were located ~7 km offshore of Key Largo, Florida, USA at the southern tip of Florida in the Florida Keys. The sites were located on or adjacent to Little Grecian Rocks Reef with a site on the reef crest (25.119016°N, -80.300504°W) at 2.9 m mean depth, in a seagrass bed located ~225 m to the northwest of the reef site (25.120328°N, -80.302222°W) at 4.8 m mean depth, and in a sandy site located ~300 m to the southwest of the reef site (25.117320°N, -80.303069°W) at 6.3 m mean depth. The reef site is described in substantial detail (3-dimensional and species analyses) in Hopkinson et al. (2020), where the EC instrument can be seen near the center of the image analyses (in Figure 6 of Hopkinson et al. 2020) during its deployment in this study. This reef site is substantially degraded with its benthic surface and primary production dominated by octocorals, algae and rubble (Hopkinson et al. 2020). The seagrass site was dominated by dense Thalassia testudinum (turtlegrass) with a canopy height of 0.2 m underlain by carbonate sands. The sandy site was composed of carbonate sands with microalgal mats and migrating bedforms 0.1 m in height. Research was conducted from June 24 to June 29 in 2018 with the seagrass deployment beginning on the 24th and the sand and reef deployment beginning on the 25th of June, 2018.</p>
<p><strong>Instrumentation</strong><br />
The EC systems used here, known as Eddy Covariance Hydrogen Ion and Oxygen Exchange&nbsp;System (ECHOES, Long et al. 2015) consisted of an Acoustic Doppler Velocimeter (ADV, Nortek) that was coupled to a FirestingO₂ Mini fiber-optic O₂ meter with a fast-response (~ 0.3 s) 430 µm diameter optode (Pyroscience) (Long et al. 2015, Long and Nicholson 2018, Long et al. 2019) and a fast-response (~0.6 s) Honeywell Durafet III pH sensor with a preamp Cap Adapter and a custom isolation amplifier (based on Texas Instruments ISO124P).</p>
<p>The ECHOES systems logged the three-dimensional velocity, depth, O₂ optode, pH sensor, and triaxial Inertial Measurement Unit (IMU, MicroStrain model 3DM-GX3) at a frequency of 32 Hz continuously. Using 6 rechargeable lithium ion batteries (50 Watt h, Nortek #220007), the system could operate continuously for ~4.5 days. All instrumentation was mounted to a light-weight, passively rotating carbon fiber frame. A bubble level affixed to the ADV mount allowed for precise leveling during field deployment by SCUBA divers. Stakes (sand and seagrass sites) or lead weights and zip ties (reef site) maintained instrument location and orientation. The measurement height, or location of the ADV measuring volume and sensors, above the sediment surface was determined by placing it at a height that was greater than twice the canopy or bedform height as recommended by terrestrial EC guidelines where twice the canopy height, and up to 5 times the canopy height in patchy environments, is recommended (Burba and Anderson 2010, Long et al. 2015).</p>
<p>The microfluidic flow-through sensor design has a small volume (0.33 cm³) and a KNF Micropump (model NF10) with a flow rate (100 mL min⁻¹) that combine to have a quick flush rate (5 Hz) while protecting and preventing light interference for both O₂ and pH sensors. The microfluidic intake was located 0.025 m behind the ADV measuring volume (see Donis et al. 2015, Berg et al. 2015) to prevent disruption of ADV-measured flow rates (Long et al. 2015). The microfluidic housing mounted tightly over the Durafet III sensor tip and has a small chamber for inserting the O₂ optode, that is located at the end of a 0.04 m long, 0.003 m inside diameter copper intake tube and filter, with the outlet of the microfluidic chamber connected to the pump intake. A passive flow meter (0-100 ml min⁻¹) connected to the pump outlet was used to confirm pumping rates during deployment.</p>
<p>A separate frame at each site contained an Odyssey (Dataflow Systems, New Zealand) photosynthetically active radiation (PAR) sensor and a Seabird SeapHOx (measuring salinity, temperature, depth, O₂, and pH). The SeapHOx was factory calibrated and the Odyssey PAR sensors were calibrated to a HR-4 spectroradiometer system (HOBI Labs HydroRAD-4) using the methods of Long et al. (2012).</p>
<p><strong>Eddy Covariance Analysis</strong><br />
The 32 Hz data were averaged to 8 Hz for analysis. The ECHOES O₂ and pH sensors were calibrated to the slow-response SeapHOx sensors by least-squares regression. The ADV velocity data was removed from analysis when the beam correlation was &lt; 50%. The means for Reynolds decomposition were determined using a 5 minute moving average window. The period over which the flux was determined, or burst length, was 15 minutes, with subsequent averaging to hourly rates. Rotations were conducted automatically by Nortek software (Vector v1.39.09) to East, North, and Up coordinates based on the IMU data (see Long and Nicholson 2018) followed by a planar rotation (see Lorke et al. 2013) for each instrument deployment.</p>
<p>Standard eddy covariance analysis was conducted to calculate O₂, H⁺, and momentum fluxes. Cross Power Spectral Densities were also used to calculate O₂, H⁺ and momentum fluxes and were determined with the Matlab function "CPSD", with the removal of wave frequencies conducted by accumulating the CPSD at frequencies below approximately 1/(2T<sub>d</sub>). A storage correction was applied to all biogeochemical fluxes due to the presence of biological canopies and the high measuring heights used (Lorrai et al. 2010, Rheuban et al. 2014, Long and Nicholson 2018). Power spectral densities were determined using the Matlab function "PWELCH". The T<sub>d</sub> was determined by finding the maximum of the momentum CPSD at the frequencies where the waves were expected for the study sites (e.g. 0.1 &gt; Hz &lt; 1).</p>
<p>Refer to the Supplemental File "ECHOES_methods_FL2018.pdf" for the equations used to determine wave velocities and O₂, H⁺, and momentum fluxes.</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing:<br />
- concatenated data from the three different sites into one dataset;<br />
- renamed fields;<br />
- added latitude and longitude columns.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Acoustic Doppler Velocimeter (ADV, Nortek)
Acoustic Doppler Velocimeter (ADV, Nortek)
PI Supplied Instrument Name: Acoustic Doppler Velocimeter (ADV, Nortek) Instrument Name: Acoustic Doppler Velocimeter Instrument Short Name:ADV Instrument Description: ADV is the acronym for acoustic doppler velocimeter. The ADV is a remote-sensing, three-dimensional velocity sensor. Its operation is based on the Doppler shift effect. The sensor can be deployed either as a moored instrument or attached to a still structure near the seabed.
Reference:
G. Voulgaris and J. H. Trowbridge, 1998. Evaluation of the Acoustic Doppler Velocimeter (ADV) for Turbulence Measurements. J. Atmos. Oceanic Technol., 15, 272–289. doi: http://dx.doi.org/10.1175/1520-0426(1998)0152.0.CO;2 Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/384/
triaxial Inertial Measurement Unit (IMU, MicroStrain model 3DM-GX3)
triaxial Inertial Measurement Unit (IMU, MicroStrain model 3DM-GX3)
PI Supplied Instrument Name: triaxial Inertial Measurement Unit (IMU, MicroStrain model 3DM-GX3) Instrument Name: Microstrain 3DM-GX1 Gyro Enhanced Orientation Sensor Instrument Short Name:Microstrain 3DM-GX1 Instrument Description: The MicroStrain 3DM-GX3 is a triaxial accelerometer designed to measure 360 degrees of angular motion on three orthogonal axes. The 3DM-GX1 has now been retired in favour of later MicroStrain products. The 3DM-GX1 featured on-board processing/filtering of accelerometer, gyro and magnetometer channels, with standard RS-232 and RS-485 outputs, and optional analog output. It offers 16 bit A/D resolution, accuracy of +/-0.5 degrees for static test conditions or +/-2 degrees for dynamic test conditions, 100 Hz digital output rate for Euler, Matrix and Quaternion, and operates in temperatures of -40 to 70 degrees C with enclosure (or +85 degrees C without enclosure).
FirestingO2 Mini fiber-optic O2 meter
FirestingO2 Mini fiber-optic O2 meter
PI Supplied Instrument Name: FirestingO2 Mini fiber-optic O2 meter Instrument Name: Oxygen Sensor Instrument Short Name:Dissolved Oxygen Sensor Instrument Description: An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed
Honeywell Durafet III pH sensor
Honeywell Durafet III pH sensor
PI Supplied Instrument Name: Honeywell Durafet III pH sensor Instrument Name: pH Sensor Instrument Short Name:pH Sensor Instrument Description: An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+).
KNF Micropump (model NF10)
KNF Micropump (model NF10)
PI Supplied Instrument Name: KNF Micropump (model NF10) Instrument Name: Pump Instrument Short Name: Instrument Description: A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps