1. Australian Antarctic Data Centre
2. Discover and Manage Data
3. Records
4. 200607030

Description

This dataset contains the underway data collected during the Aurora Australis Voyage V3 2006/07 (SAZ-SENSE). This was a marine science voyage in the subantarctic zone of the Southern Ocean.

Voyage name : Sub-Antarctic Zone - Sensitivity to Environmental Change
Voyage leader: Vicki Lytle

Underway (meteorological) data are available online via the Australian Antarctic Division Data Centre web page (or via the Related URL section).

Calibrated data from this voyage are also available for download at the provided URL.

Taken from the provided "readme" as part of the download file:
The underway data files contain data logged by the Aurora Australis
data logging system, including met data, bathymetry, GPS, and sea surface
salinity and temp. The data have been quality controlled.
Underway data are the property of the Australian Antarctic Division (except
for underway salinity).

The files are:
sazsenseora.txt = column format ascii file
sazsenseora.mat = matlab format

Take from the vpyage leader's report:

Voyage 3 of the Aurora Australis for the 2006/07 season was a dedicated marine science voyage. The voyage left Hobart on January 17, returned February 19 for one hour due to a medical emergency, with a final return to Hobart on February 20. The voyage determining project was AAS 2720, "Physical and biogeochemical dynamics of the subantarctic zone for the 0607 season". All the research was conducted in the open ocean. In general, the science projects met or exceeded their objectives during the voyage.

There were eight approved AAS projects aboard, individual reports from these projectvs, where available, are in Appendix A. Reports from Marine Science Support, amd the Medical officer are included in Appendix B.

Operations during the voyage consisted primarily of a series of stations where instruments were deployed off the ship, either from the trawl deck or from the CTD room. The location and timing of 24 stations are listed in Appendix C. It is estimated that the equivalent of 20 days of the 22 day voyage were spent 'on station' with gear being deployed. The ship's labs (including the additional ones), instrument room and conference room were fully utilised, and some instrumentation was installed on the monkey island.

Several unplanned events occurred during the voyage. During the time available in port, it was not possible to finish installing the laboratory containers, and securing all the scientific gear. Consequently, the first night at sea was spent in calm watersprior to the first station finalising the science set-up. There was a failure of the ship's positioning system (LIPS) which resulted in almost one day of lost time while it was being repaired. A medical emergency required a return to Hobart, which resulted in one station being cut short, and approximately 12 hours extra steaming time. In addition, weather delays are estimated at approximately 3-4 days.

To make up some of this lost time, and whenever feasible, both ship engines were used to minimise the transit time between stations.

Quality

The data have been acquired at 0.1 Hz. There will be the occasional invalid value such as temperatures being out of range.

This dataset has not been checked. Please verify the data before use.

See the Marine Science Support Data Quality and Programmer's Reports at the Related URL section.

Where data for a particular sensor do not exist for a particular time, the last known value is used unless the sensor has been disabled or has encountered an error. For example, some sensors only record data every minute, but the resolution for the underway dataset is 10 seconds, so the same value will be used 6 times a minute. No averages are taken for sensors that capture data at a rate other than every 10 seconds. Instead, each record will be a snapshot of each sensor at that time.

Regarding the calibrated and quality controlled data available for download:

* The data are 1 minute average values, except:
- latitude and longitude data are 1 minute instantaneous values

* underway sea surface salinity data are from a sensor in lab 1 on the ship (P.I. Bronte Tilbrook, CSIRO)

* underway sea surface salinity and temperature data have had a correction applied, derived from comparison to near surface CTD data

* for this cruise, there's no processed bathymetry data (all null values in the final data files)

* for this cruise, there's no ship speed data (only gps speed over ground)

* for the 1 minute averaged data supplied by Antarctic Division for wind speed and gps speed over ground: unknown if averages are scalar or vector

* all times are UTC

* The data have had some automatic quality controlled applied by the Antarctic Division processing software, however a small number of data spikes remain.

Access

Data are available online via the AADC web page. A "supplementary" dataset is also available for download from the provided URL. It contains raw data collected directly from the ship, which has not been quality checked.

Reports from the voyage are also available for download.

Temporal Coverages

• Start date: 2007-01-15 - Stop date: 2007-02-19

Spatial Coverages

Science Keywords

• EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SEA LEVEL PRESSURE
• EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE
• EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY
• EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > WIND DYNAMICS > CONVECTION
• EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATION
• EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE
• EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE
• EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY
• EARTH SCIENCE > OCEANS > SALINITY/DENSITY

Use Constraints

This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/).

Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=200607030 when using these data.