GB_NERC_BAS_PDC_01324
English
dataset
British Antarctic Survey
+44 (0)1223 221400
pdc@bas.ac.uk
pointOfContact
2020-05-12
NERC profile of ISO19115:2003
1.0
http://www.antarctica.ac.uk/dms/metadata.php?id=GB/NERC/BAS/PDC/01324
urn:ogc:def:crs:EPSG::4326
OGP
Dataset from iWS 18 in Cabinet Inlet, Larsen C Ice Shelf, Antarctica, 2014-2017 - VERSION 2.0
Polar Data Centre (PDC) record GB/NERC/BAS/PDC/01324
2020-05-12
publication
GB/NERC/BAS/PDC/01324
http://www.antarctica.ac.uk/dms/metadata.php?id=
The data consists of 30 minute observations recorded by an automatic weather station (iWS 18) in Cabinet Inlet on Larsen C Ice Shelf on the Antarctic Peninsula. The iWS consists of a custom-built weather station unit, assembled at the Institute of Marine and Atmospheric research Utrecht (IMAU). There are sensors for air temperature, surface air pressure, relative humidity, as well as a GPS, an acoustic snow height sensor, an ARGOS communication antenna, and three Lithium batteries that fuel the unit when solar radiation is absent. The unit is complemented by a propeller-vane Young anemometer measuring wind direction and speed. Additionally, all radiation fluxes are measured with a Kipp and Zonen CNR4 radiometer. This dataset runs from 25 November 2014 to 13 November 2017.
Funding was provided by the NERC grant NE/L005409/1.
British Antarctic Survey
+44 (0)1223 221400
High Cross, Madingley Road
Cambridge
CB3 0ET
UK
pdc@bas.ac.uk
custodian
Bevan, S., Kuipers Munneke, P., Luckman, A., Smeets, P., & van den Broeke, M.
UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
+44 (0)1223 221400
High Cross, Madingley
Cambridge
CB3 0ET
UK
pdc@bas.ac.uk
originator
unknown
NDGO0001
NERC_DDC
NERC OAI Harvesting
2020-05-12
revision
EARTH SCIENCE > Atmosphere > Atmospheric Pressure > Surface Pressure
EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature
EARTH SCIENCE > Atmosphere > Atmospheric Water Vapor > Humidity
EARTH SCIENCE > Climate Indicators > Air Temperature Indices
EARTH SCIENCE > Climate Indicators > Humidity Indices
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers
GCMD Parameter Valids
2020-05-12
revision
Automatic weather station
Larsen C Ice Shelf
BAS Free-text keywords
2020-05-12
revision
This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
otherRestrictions
This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
English
climatologyMeteorologyAtmosphere
environment
-63.3711
-63.3711
-66.4023
-66.4023
2014-11-25
2017-11-13
Polar Data Centre - British Antarctic Survey
+44 (0)1223 221400
pdc@bas.ac.uk
distributor
https://doi.org/10.5194/tc-3-155-2009
information
dataset
Conformity_001
INSPIRE
INSPIRE Data Specification on unknown theme Guidelines
See the referenced specification
false
A number of corrections and adjustments to the raw data were applied for this dataset. For further details see Elvidge et al. (2020).
1) The temperature sensor is not artificially ventilated. This leads to a positive bias in temperature measurements under conditions of high insolation and low wind speed. Simultaneous observations from a thin-wire thermocouple provided a correction procedure, detailed in Smeets et al. (2018).
2) The relative humidity sensor is placed within the unit and experiences elevated temperature under sunny conditions. Internally-observed temperature of the sensor allows the calculation of a dew point, which gives a relative humidity for the observed air temperature. Next, relative humidity is corrected for observations over ice rather than over water. And finally, a well-known underestimation of RH-observations at low temperatures is corrected for by fitting a polynomial through the upper percentile of data and define that polynomial as a RH of 100%. Relative humidity can sometimes greatly exceed 100%, especially in very cold conditions. It is unknown if this is a sensor characteristic or real supersaturation. If required, RH can be capped at 100% without a large error in the corresponding absolute, specific humidity.
3) Longwave radiation observations are corrected for the internal instrument temperature, and for window heating under high insolation conditions.
4) Acoustic snow height observations are corrected for the dependency of sound propagation on air temperature.
5) A few small data 30- to 60-minute data gaps were filled by linear interpolation.