EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW DEPTH
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AM01 borehole drilled January 2002. Data collected in series of files over a period of 2 days after completion of borehole. Consult Readme file for detail of data files and formats.
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Note - these data should be used with caution. The chief investigator for the dataset has indicated that a better quality dataset exists, but the AADC have been unable to attain it for archive. Matlab file containing raw data snowfall data collected aboard the RV Aurora Australis using Campbell Scientific dataloggers. Two Wenglor brand YHO3NCT8 photoelectric sensors were mounted on the forward railing of the ship's "monkey deck". The beam heights of the sensors were 18cm above the upper railing, oriented parallel to the railing (perpendicular to the long-axis of the ship), approximately 6m apart. The port sensor was purchased in 2012, from a batch of these sensors manufactured in a new Eastern European factory while the starboard sensor came from a lot purchased in 2007, manufactured in Wenglor's German factory and extensively tested for use in snow. Pulse counts measured by the port sensor were consistently lower in magnitude than those recorded during the same interval by the starboard sensor. It is not currently clear whether this was due to the ship's tendency to be oriented with the wind to starboard, or whether this is due to differences in instrument characteristics. Data recorded between 17/9/2012 and 26/10/2012 was logged by a CR10x datalogger. Data recorded after 26/10/2012 was logged by a CR1000 datalogger. Information on converting the pulse-count data into a mass flux of snow is contained in Leonard, K.C. and R.I. Cullather (2008) Snowfall measurements in the Amundsen and Bellingshausen Seas, Antarctica. Proceedings of the Eastern Snow Conference, 65, 87 - 98. These two datasets are identical, but have been separated into two matlab structures contained in the same "shipsnow.mat" file: "snow" and "snow2". Data contained in these structures includes the following variables, with units: Datenm: matlab 'datenumber'. Change to conventional format using the "datevec()" command Port: beam interruptions per 10s interval, port-side sensor Stbd: beam interruptions per 10s interval, starboard-side sensor Ptemp: temperature of a thermistor mounted beneath the datalogger's wiring panel. The datalogger was contained in a fiberglass box, strapped into the starboard side observation shelter on the monkey deck. Volt: voltage received and transmitted by the datalogger. Power came from a 12v 1Ah converter plugged into the ship's power supply. The data have also been reformatted into two csv files.
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This dataset contains records of ice thickness and snow thickness from Davis Antarctica. Measurements were attempted on a weekly basis and have been recorded since 1957 and are ongoing, although data have only been archived here until 2002. The observations are not continuous however. The dataset is available via the provided URL. This data were also collected as part of ASAC projects 189 and 741. Logbook(s): Glaciology Davis Sea Ice Logs 1992-1999
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This dataset contains records of ice thickness and snow thickness from Mawson, Antarctica. Measurements were attempted on a weekly basis and have been recorded since 1954 and are ongoing, although this record only contains data up until the end of 1989. The observations are not continuous however. The dataset is available via the provided URL. These data were also collected as part of ASAC projects 189 and 741. Logbooks(s): Glaciology Sea Ice Log, Mawson 1969 Glaciology Mawson Sea Ice Logs, 1995-2000
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This dataset contains records of ice thickness and snow thickness from Casey, Antarctica. Measurements were attempted on a weekly basis and were recorded between 1979 and 1992. The observations are not continuous however. The dataset is available via the provided URL. This data were also collected as part of ASAC projects 189 and 741. The Casey fast ice thickness data are no longer being collected.
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Motivation: One of the characteristics of this voyage is that we have long ice stations which last for a few days. Taking this opportunity, we decided to examine the diurnal change of snow properties at the fixed snow pit site. Since this measurement was not included in the original plan, Time interval was a bit variable from 3 hours to 5 hours depending on the progress of the other work. Observation items: Snow thickness, Temperature profile (every 3 cm), Grain size, Grain shape, Snow density, Hardness, Salinity Instruments: Folding scales, Spatula, Thermometer, Snow sampler, Magnifying glass, Salinometer Information pertaining to the dataset: Time - recorded in local time Hs - snow depth in cm Cloud measurements - oktas Water level - distance between snow surface and surface seawater in cm Depth - depth of the individual layer referenced to snow/ice interface (upper column) or snow surface (lower column) in cm Ta - air temperature in degrees celsius DH, FC, PP, DF, RG stand for Depth hoar, Faceted crystals, Precipitation particles, Decomposing and fragemented precipitation particles, Rounded grains - according to "The International Classification for Seasonal Snow on the Ground" (Colbeck et al., 1990). Weight - g Mid-depth - cm
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This dataset contains 102 depth measurements of the water column in Long and Tryne fjords, which are in the northern Vestfold Hills, Prydz Bay, Antarctica. Sea ice thickness and snow thickness were recorded simultaneously. The motivation for this project has been to yield a description of the pupping and moulting habitat of Weddell seals. This information will assist the interpretation of 25+ years of data on seal distribution within that area. Our data were collected between 7th and 13th December 1999. The measurement sites were chosen according to geographical features; their exact location was determined by GPS with an accuracy of about 25m. At each site a 5cm diameter hole was drilled through the sea ice and a weighted measurement tape was lowered through the ice-hole to the bottom. Water depths were measured to the nearest centimetre; ice and snow thicknesses were measured to the nearest millimetre. A minimum depth of less than 3m was found in a narrow channel between small islands immediately west of Shirokaya Bay. The maximum depth of the water column was 222m in the middle basin of Long Fjord. The tidal range for the measured days was less than 0.5m, with tidal corrections applied to the raw data. Water samples were taken in Breid Basin and the middle basin of Long Fjord. These and water samples taken in Snezhnyy Bay [pers. comm. J. Laybourn-Parry, 1999] show aerobic and relatively fresh water for all upper basins. This indicates that even the far basins of both fjords are well mixed despite the drainage of large volumes meltwater from the Antarctic plateau into the fjords. See related URL for data and a spatial summary of the data. See Entry: long_tryne_bathy for an interpolation of bathymetry made using the Topogrid command within the ArcInfo GIS software, version 8.0.2. Coastline and spot height (heights above sea level) data, extracted from the Australian Antarctic Data Centre's Vestfold Hills topographic GIS dataset (see Entry: vest_hills_gis), was also used as input data to optimise the interpolation close to the coastline. The fields in this dataset are: day weighpoint lat(dd) long(dd) ice (cm) freeboard(cm) snow(cm) depth(m)
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This document describes the deployment of five Ice Mass Balance Buoys (IMBs) and two automatic weather stations. These were primarily deployed on floes 2012103 and 20121029, as well as on helicopter flights (refer to buoy metadata for these). IMBs are labelled WHOI-1 to WHOI-6. WHOI-1 was not deployed and WHOI-3 and WHOI-5 failed and were recovered. TAS-2 was exchanged for WHOI-1 Deployments (successful): TAS-2 deployed on helo flight 20 km from ship WHOI-4 deployed on helo flight 20 km from ship WHOI-6 Deployed next to AWS-1 on ice station 1013 on 11/04 WHOI-2 Deployed next to AWS-2 on ice station 1029 on 11/01 Each AWS record air temp, relative humidity, wind speed and direction, total incident short wave, snow depth, GPS position and snow particles near ground level and at about 1m height. AWS-1 deployed on 1013 AWS-2 deployed on 1029 IMBs record GPS position and temperature in air,snow,ice, and ocean. Sensors also have a heating mode that permit determination of media they are embedded in so that snow and ice thickness can be determined. REFER TO MAKSYM LOGBOOK SCANS FOR MORE DETAILS