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Metadata Report for BODC Series Reference Number 1800670


Metadata Summary

Data Description

Data Category Hydrography time series at depth
Instrument Type
NameCategories
Sea-Bird SBE 37-SM MicroCAT C-T Sensor  water temperature sensor; salinity sensor
Star-Oddi Starmon mini temperature recorder  water temperature sensor
Instrument Mounting subsurface mooring
Originating Country United Kingdom
Originator Mr Christian Buckingham
Originating Organization University of Southampton School of Ocean and Earth Science
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) OSMOSIS
 

Data Identifiers

Originator's Identifier THERMISTOR_SE-INNER_404M_SN4455
BODC Series Reference 1800670
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2012-09-05 21:46
End Time (yyyy-mm-dd hh:mm) 2013-09-07 08:30
Nominal Cycle Interval 120.0 seconds
 

Spatial Co-ordinates

Latitude 48.68033 N ( 48° 40.8' N )
Longitude 16.17400 W ( 16° 10.4' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 404.0 m
Maximum Sensor or Sampling Depth 404.0 m
Minimum Sensor or Sampling Height 4426.0 m
Maximum Sensor or Sampling Height 4426.0 m
Sea Floor Depth 4830.0 m
Sea Floor Depth Source CRREP
Sensor or Sampling Distribution Fixed common depth - All sensors are grouped effectively at the same depth which is effectively fixed for the duration of the series
Sensor or Sampling Depth Datum Approximate - Depth is only approximate
Sea Floor Depth Datum Approximate - Depth is only approximate
 

Parameters

BODC CODERankUnitsTitle
AADYAA011DaysDate (time from 00:00 01/01/1760 to 00:00 UT on day)
AAFDZZ011DaysTime (time between 00:00 UT and timestamp)
ACYCAA011DimensionlessSequence number
PREXSINT1DecibarsPressure (measured variable) exerted by the water body by semi-fixed moored in-situ pressure sensor and interpolation between instruments with sensors
TEMPPR011Degrees CelsiusTemperature of the water body

Definition of Rank

  • Rank 1 is a one-dimensional parameter
  • Rank 2 is a two-dimensional parameter
  • Rank 0 is a one-dimensional parameter describing the second dimension of a two-dimensional parameter (e.g. bin depths for moored ADCP data)

Problem Reports

No Problem Report Found in the Database

OSMOSIS Cruise D381A moored Star-Oddi Thermistors: Quality Report

Data quality issues were observed by the originator, which have been outlined below for future user awareness.

The temperature data collected here are much poorer than those from the MicroCATs.

The following sensors were judged to have poor data and recorded as such in the JC090 log:

s/n 4186 - lost
s/n 4263 - flooded
s/n 4236 - unable to connect
s/n 3114 - unable to connect
s/n 4204 - very short data record

The originator has placed thermistor T4218 within the NW-Inner mooring but was unable to cross-reference its location using either the deployment or recovery cruise reports. It should be noted that the temperature appears to be affected significantly by surface warming (very warm in September 2012 and September 2013) so it is likely near the top. The originator has placed suspect quality flags on the pressure channel for this reason which are flagged 'L' in the file.

The originator has applied poor quality flags to the pressure channel on the South West mooring on the following serial numbers due to pressure data from the nearest MicroCAT being poor and so replaced with that from the neighboring Nortek Aquadopp (SW Inner, 8080):
s/n 4199
s/n 4200
s/n 4201
s/n 4202
s/n 4203
s/n 4205
s/n 4206

During BODC quality control procedures, BODC have applied additional 'M' flags where the data values for temperature were significantly noisy at the beginning and end of the data collection period.

It should be noted that BODC has taken a high level approach and therefore further quality control has been left to the discretion of the end user.


Data Access Policy

Open Data supplied by Natural Environment Research Council (NERC)

You must always use the following attribution statement to acknowledge the source of the information: "Contains data supplied by Natural Environment Research Council."


Narrative Documents

Sea-Bird SBE 37-SM MicroCAT

The SBE 37-SM MicroCAT is a high accuracy conductivity and temperature recorder (pressure optional). Designed for moorings and other long-duration, fixed-site deployments, MicroCATs have non-corroding titanium housings rated for operation to 7000 metres or pressure sensor full scale-range. Communication with the MicroCAT is over an internal, 3-wire, RS-232C link. The MicroCAT's aged and pressure-protected thermistor has a long history of exceptional accuracy and stability (typical drift is less than 0.002° per year). Electrical isolation of the conductivity electronics eliminates any possibility of ground-loop noise.

Specifications

  Temperature
(°C)
Conductivity (S m-1) Optional Pressure
Measurement Range -5 to +35 0 to 7 (0 to 70 mS cm-1) 0 to full scale range: 20 / 100 / 350 / 1000 / 2000 / 3500 / 7000 metres
Initial accuracy 0.002 0.0003 0.1% of full scale range
Typical Stability 0.0002 per month 0.0003 per month 0.05% of full scale range per year
Resolution 0.0001 0.00001 0.002% of full scale range
Sensor Calibration +1 to +32 0 to 6; physical calibration over range 2.6 to 6 S m-1, plus zero conductivity (air) Ambient pressure to full scale range in 5 steps
Memory 8 Mbyte non-volatile FLASH memory
Data Storage Converted temperature and conductivity: 6 bytes per sample (3 bytes each)
Time: 4 bytes per sample
Pressure (optional): 5 bytes per sample
Real-Time Clock 32,768 Hz TCXO accurate to ±1 minutes year-1
Standard Internal Batteries Nominal 10.6 Ampere-hour pack consisting of 12 AA lithium batteries. Provides sufficient capacity for more than 630,000 samples for a typical sampling scheme
Housing Titanium pressure case rated at 7000 metres
Weight (without pressure) In water: 2.3 kg
In air: 3.8 kg

Further information can be found via the following link: SBE 37-SM MicroCAT Datasheet

Star-Oddi Starmon mini Temperature Recorder

Description

The Star-Oddi Starmon mini is a compact microprocessor-controlled temperature recorder with electronics and probe housed in a strong waterproof cylinder made of either plastic or titanium.

Specifications

Memory 350000 measurements, although memory size can optionally be increased to 524000 or 699000 measurements. Temperature readings are stored in non-volatile Electrically Erasable Programmable Read Only Memory (EEPROM).
Data Retention 20 years.
Temperature Range -2 °C to +40 °C with outside ranges available at request. The average resolution is 0.013 °C, and the measuring accuracy is +/-0.05 °C.
Maximum Depth Plastic version: 400 m (40 bar), titanium version: 11000 m (1100 bar)
Communication Link Downloaded via PC interface box. Connects to a computer via a RS-232C standard serial interface.
Battery A 3.6 V lithium battery with a life of 5 years for a sampling interval of 10 minutes or greater.

For more information please see the manufacturers specification sheet.

OSMOSIS Cruise D381A moored Star-Oddi Thermistors: Originator's Data Processing

The originator has supplied Star-Oddi temperature logger data from inner mooring sites (NW, NE, SW, SE) and a central mooring site as part of the Ocean Surface Mixing, Ocean Sub mesoscale Interaction Study (OSMOSIS) consortium project.

The moorings were deployed on the RRS Discovery Cruise D381A in 2012 and were recovered a year later on the RRS James Cook Cruise JC090.

Originator's Data Processing

Temperature measurements were collected as part of the OSMOSIS experiment in the eastern North Atlantic. These data were obtained on a suite of five (5) moorings during September 2012-September 2013 and, therefore, contain mooring motion. They have been modified from their original measurements in order to correct for temperature biases. Wild-point editing were also applied to the noisy data. The originator has noted that pressure was not recorded on these data but was inferred from "known" positions on the mooring with respect to CTD locations (see Allen et al. 2013 D381 cruise report). Thus, these depths may be incorrect. Also, that for an unknown reasons, there does not seem to be a CTD cast coincident with MicroCAT measurements during the recovery period. Thus, no calibration curve exists. The original data can be obtained upon request.

Data have been cropped to the times during which the moorings were placed in the water (September 2012) and recovered (September 2013). This was ascertained from the pressure sensor on each instrument.

The originator has applied the following processing steps to each Star-Oddi Starmon file.

Read from .DAT file
Read into matlab and placed into large structure
Sorted depths
Looped over plots to assess data quality; made notes as appropriate (described below)

The originator took the additional following steps due to noise within these data to ensure data were of fair quality:

1. Determine the "quality" of each sensor's data (quality_check1.m)
* loop over each thermistor record and plot each data record visually
* manually assign a quality flag to the data (1 good, 2 potentially bad or 3 bad)
* in this pass, a quality flag (i.e., quality_flag) of 3 was given to data having spikes (or wild points)

2. Eliminate spikes or wild points within those records whose quality_flag = 3 (wild_point_editor.m)
* wild points are defined as those data points whose value exceeds a difference from the local mean of 7.1 times the local standard deviation.
* the kernel used to define the local mean and local standard dev is a 1-day (721-pixel) window centred on each data point
* wild points are replaced with the median value of data within the same window
* we retain the original data in the field "temperature"
* the (filtered) record is placed within a variable called "temperature_modified";
* the quality_flag is set to 2

Some records which pass this automated step are of poor quality. This is because the local standard deviation is large due to the outliers themselves. A subsequent step ensures data within the "temperature_modified" field is of superb quality.

3. Determine the "quality" of each sensor's data (quality_check2.m)
In this step, we correct those records which were not corrected in the preceding step.
* loop over each thermistor record and plot data visually
* we examine the "temperature_modified" field rather than the "temperature" field
* we correct those records whose quality_flag = 2 in the following manner:

a) if quality_flag = 2, we look at the time-series plot
(i) if it looks ok, we do not do anything but set the quality_flag = 1
(ii) if it does not look ok (for example, due to spikes), we run a subroutine called "use_with_quality_check2.m" and graphically define the data of interest using a plot of the mean temperature record vs the observed temperature record. The objective in this "expert-based" classifier algorithm is to separate the dense "cloud" of data points from the outliers. As this is a subjective process, the user of data within the "temperature_modified" variable should use caution. We made the following decision with regard to the "quality_flag" when processing the data in this manner:
* if the edges/borders of the dense cloud of data are clearly defined, we modify the "temperature_modified" time series and set quality_flag = 1.
* if the edges/borders of the dense cloud of data are not clearly defined, we modify the "temperature_modified" time series and set quality_flag = 2.

In this manner, the value of "quality_flag" represents the quality of the "temperature_modified" field rather than the "temperature" field. The user can distinguish between good original data and good modified data by noting that good original data does not have an associated "temperature_modified" record (i.e., it is an empty vector).

b) if quality_flag = 1 or quality_flag = 3, we do not modify the data

BODC image

Figure 1. Annual average of thermistor temperatures (red, triangle) and microCAT CTD temperatures (blue, circles) and salinity (red, circles); depths correspond to the annual mean depths of each sensor over the year.

While temperature shows a very nice (canonical) shape with depth, salinity shows some scatter relative to a fifth-order polynomial fit. Thermistor temperature is slightly colder than CTD temperatures for the same depth. This suggests incorrect but consistent spacing between thermistors and MicroCAT CTDs.

OSMOSIS Cruise D381A moored Star-Oddi Thermistors: Processing by BODC

Data from 243 Star-Oddi thermistors were submitted to BODC as Matlab files, one file for each sensor. The table below describes the originators variables and how they were mapped to appropriate BODC parameter codes for standardisation purposes.

Originator's variables Originator's units Description BODC code BODC units Comments
Temperature °C Temperature of the water body TEMPPR01 °C  
Temperature_modified °C Temperature of the water body TEMPPR01 °C Present in some files that required extra quality control steps.
Pressure db Pressure (measured variable) exerted by the water body by semi-fixed moored SBE MicroCAT and interpolation between instruments with pressure sensors PREXSINT db Pressure was not recorded on these data but was inferred from "known" positions on the mooring with respect to MicroCAT locations

Please note if only the temperature variable was populated in the file this was taken through, but if both temperature and temperature_modified variables were populated only the quality controlled temperature_modified variable was taken through. The basis of how this was determined is described in the originator's processing notes. The original files are available on request.

The data were visualised in internal built software EDSERPLO. Suspect data were flagged according. Missing data values were set to appropriate values and flagged. All data files were modified by the originator, to remove data points collected during the deployment and recovery of instrumentation.


Project Information

Ocean Surface Mixing, Ocean Sub-mesoscale Interaction Study (OSMOSIS)

Background

The Ocean Surface Mixing, Ocean Sub-mesoscale Interaction Study (OSMOSIS) consortium was funded to deliver NERC's Ocean Surface Boundary Layer (OSBL) programme. Commencing in 2011, this multiple year study will combine traditional observational techniques, such as moorings and CTDs, with the latest autonomous sampling technologies (including ocean gliders), capable of delivering near real-time scientific measurements through the water column.

The OSMOSIS consortium aims to improve understanding of the OSBL, the interface between the atmosphere and the deeper ocean. This layer of the water column is thought to play a pivotal role in global climate and the productivity of our oceans.

OSMOSIS involves collaborations between scientists at various universities (Reading, Oxford, Bangor, Southampton and East Anglia) together with researchers at the National Oceanography Centre (NOC), Scottish Association for Marine Science (SAMS) and Plymouth Marine Laboratory (PML). In addition, there are a number of project partners linked to the consortium.

Scientific Objectives

  • The primary goal of the fieldwork component of OSMOSIS is to obtain a year-long time series of the properties of the OSBL and its controlling 3D physical processes. This is achieved with an array of moorings (two nested clusters of 4 moorings, each centred around a central mooring) and gliders deployed near the Porcupine Abyssal Plain (PAP) observatory. Data obtained from this campaign will help with the understanding of these processes and subsequent development of associated parameterisations.
  • OSMOSIS will attempt to create parameterisations for the processes which determine the evolving stratification and potential vorticity budgets of the OSBL.
  • The overall legacy of OSMOSIS will be to develop new (physically based and observationally supported) parameterisations of processes that deepen and shoal the OSBL, and to implement and evaluate these parameterisations in a state-of-the-art global coupled climate model, facilitating improved weather and climate predictions.

Fieldwork

Three cruises are directly associated with the OSMOSIS consortium. Preliminary exploratory work in the Clyde Sea (September 2011) to hone techniques and strategies, followed by a mooring deployment and recovery cruise in the vicinity of the Porcupine Abyssal Plain (PAP) observatory (in late Summer 2012 and 2013 respectively). Additional opportunist ship time being factored in to support the ambitious glider operations associated with OSMOSIS.

Instrumentation

Types of instrumentation and measurements associated with the OSMOSIS observational campaign:

  • Ocean gliders
  • Wave rider buoys
  • Towed SeaSoar surveys
  • Microshear measurements
  • Moored current meters, conductivity-temperature sensors and ADCPs
  • Traditional shipboard measurements (including CTD, underway, discrete nutrients, LADCP, ADCP).

Contacts

Collaborator Organisation
Prof. Stephen Belcher University of Reading, U.K
Dr. Alberto C Naveira Garabato University of Southampton, U.K

Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2012-09-05
End Date (yyyy-mm-dd) 2013-09-07
Organization Undertaking ActivityUniversity of Southampton School of Ocean and Earth Science
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierOSMOSIS SE inner
Platform Categorysubsurface mooring

OSMOSIS south-east inner mooring

The short term moorings were deployed and recovered during cruise RRS Discovery D381A as part of the Ocean Surface Mixing, Ocean Submesoscale Interaction Study (OSMOSIS) project.

The target for the inner south-east mooring was 48° 40.740' N, 16° 10.440' W in approximately 4,830 m of water. The mooring consisted of 50 Star-Oddi thermistors, one upward pointing 75 kHz ADCP, seven Nortek single-point current meters and seven SBE 37 MicroCAT sensors. In addition, a light and Argo tag were fixed at the top of the mooring.

Instruments deployed on the mooring

Instrument and equipment Instrument serial number Depth relative to surface
Thermistor T4269 33
Light W06-006 36
ARGO tag A02-019 36
Thermistor T4270 47
Nortek CM 9877 53
Thermistor T4271 54
SBE 37 MicroCAT 9386 54
Thermistor T4272 59
Thermistor T4273 64
Thermistor T4274 69
Thermistor T4275 74
Thermistor T4276 79
Thermistor T4277 84
Thermistor T4278 89
Thermistor T4279 94
Thermistor T4280 99
Nortek CM 9881 110
Thermistor T4281 110
SBE 37 MicroCAT 9387 110
Thermistor T4282 115
Thermistor T4283 120
Thermistor T4284 125
Thermistor T4285 130
Thermistor T4286 135
Thermistor T4287 140
Thermistor T4288 145
Thermistor T4289 150
Nortek CM 9885 159
SBE 37 MicroCAT 9388 160
Thermistor T4290 162
Thermistor T4291 171
Thermistor T4292 180
Thermistor T4293 189
Thermistor T4433 198
Thermistor T4434 207
Thermistor T4437 216
Nortek CM 9905 228
Thermistor T4439 228
SBE 37 MicroCAT 9389 229
Thermistor T4440 234
Thermistor T4441 244
Thermistor T4442 254
Thermistor T4443 264
Thermistor T4444 274
Thermistor T4445 284
Thermistor T4446 293
Nortek CM 9909 298
SBE 37 MicroCAT 9390 299
Thermistor T4447 305
Thermistor T4448 319
Thermistor T4478 334
Thermistor T4450 348
Nortek CM 9912 352
SBE 37 MicroCAT 7314 353
Thermistor T4451 363
Thermistor T4452 378
Thermistor T4453 393
Thermistor T4454 408
Thermistor T4455 423
Thermistor T4456 438
75 kHz ADCP LR17826 452
Thermistor T4457 453
Thermistor T4458 465
Thermistor T4459 480
Thermistor T4460 495
Nortek CM 9926 513
SBE 37 MicroCAT 7315 514
Release 1140/1497 4816

Related Data Activity activities are detailed in Appendix 1

Cruise

Cruise Name D381A
Departure Date 2012-08-28
Arrival Date 2012-09-13
Principal Scientist(s)Alberto C Naveira Garabato (University of Southampton School of Ocean and Earth Science)
Ship RRS Discovery

Complete Cruise Metadata Report is available here


Fixed Station Information


No Fixed Station Information held for the Series


BODC Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
Blank Unqualified
< Below detection limit
> In excess of quoted value
A Taxonomic flag for affinis (aff.)
B Beginning of CTD Down/Up Cast
C Taxonomic flag for confer (cf.)
D Thermometric depth
E End of CTD Down/Up Cast
G Non-taxonomic biological characteristic uncertainty
H Extrapolated value
I Taxonomic flag for single species (sp.)
K Improbable value - unknown quality control source
L Improbable value - originator's quality control
M Improbable value - BODC quality control
N Null value
O Improbable value - user quality control
P Trace/calm
Q Indeterminate
R Replacement value
S Estimated value
T Interpolated value
U Uncalibrated
W Control value
X Excessive difference

SeaDataNet Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
0 no quality control
1 good value
2 probably good value
3 probably bad value
4 bad value
5 changed value
6 value below detection
7 value in excess
8 interpolated value
9 missing value
A value phenomenon uncertain
Q value below limit of quantification

Appendix 1: OSMOSIS SE inner

Related series for this Data Activity are presented in the table below. Further information can be found by following the appropriate links.

If you are interested in these series, please be aware we offer a multiple file download service. Should your credentials be insufficient for automatic download, the service also offers a referral to our Enquiries Officer who may be able to negotiate access.

Series IdentifierData CategoryStart date/timeStart positionCruise
1766587Hydrography time series at depth2012-09-05 21:45:0148.68033 N, 16.174 WRRS Discovery D381A
1766599Hydrography time series at depth2012-09-05 21:45:0148.68033 N, 16.174 WRRS Discovery D381A
1766606Hydrography time series at depth2012-09-05 21:45:0148.68033 N, 16.174 WRRS Discovery D381A
1766618Hydrography time series at depth2012-09-05 21:45:0148.68033 N, 16.174 WRRS Discovery D381A
1766631Hydrography time series at depth2012-09-05 21:45:0148.68033 N, 16.174 WRRS Discovery D381A
1800184Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800196Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800203Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800215Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800227Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800239Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800240Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800252Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800264Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800276Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800288Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800307Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800319Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800320Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800332Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800344Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800356Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800368Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800381Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800393Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800400Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800412Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800424Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800436Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800448Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800461Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800473Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800485Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800497Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800504Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800516Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800528Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800541Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800553Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800565Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800577Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800589Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800590Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800608Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800621Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800633Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800645Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800657Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800669Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800682Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800694Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800701Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800713Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1800725Hydrography time series at depth2012-09-05 21:46:0048.68033 N, 16.174 WRRS Discovery D381A
1743017Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1743029Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1743030Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1743042Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1743054Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1743066Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1743078Currents -subsurface Eulerian2012-09-05 21:50:0048.68033 N, 16.174 WRRS Discovery D381A
1766643Hydrography time series at depth2012-09-05 21:50:0148.68033 N, 16.174 WRRS Discovery D381A
1766655Hydrography time series at depth2012-09-05 21:50:0148.68033 N, 16.174 WRRS Discovery D381A