Data

Macquarie Island meteorological data at 30 minutes resolution from 2016-11-19 to 2018-03-14

Australian Antarctic Division
Siems, S. and Ackermann, L. ; SIEMS, STEVEN ; ACKERMANN, LUIS
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.aad.gov.au/metadata/AAS_4340_macquarie_met_30min_2016-2018_1&rft.title=Macquarie Island meteorological data at 30 minutes resolution from 2016-11-19 to 2018-03-14&rft.identifier=http://data.aad.gov.au/metadata/AAS_4340_macquarie_met_30min_2016-2018_1&rft.publisher=Australian Antarctic Data Centre&rft.description=From the project summary:Both satellite products and climate models have large biases in the energy and water budgets over the Southern Ocean (SO), which is not surprising given this environment's unique nature. The air is free of dust and pollution, and the surface is governed by strong winds, large waves and heavy sea spray. These conditions lead to the greatest fractional cloud cover over any place on the globe. Much of these biases are a direct consequence of a poor understanding of the structure and dynamics of the SO atmospheric boundary layer, which in turn is a consequence of the sparse observations being available due to the harsh conditions. This proposals call for employing unmanned aerial vehicles/systems from Macquarie Island to make unprecedented observations of the boundary layer processes over the SO. These observations will be used to both model the boundary layer dynamics and clouds and evaluate satellite products and numerical simulations of surface fluxes, cloud properties and sea spray.The data was recorded at lat: -54.5, lon:158.935. The observations include Absolute Humidity, Relative Humidity, Ambient Temperature, Potential Temperature, 3D wind speed, and Carbon concentration.The data is in netcdf4 format with medium compression, and have all available information in the attributes of each variable. The data can be easily previewed with an application like Panoply (https://www.giss.nasa.gov/tools/panoply/).The variable names are:Ah_7500_Avg Cc_7500_Avg RH_HMP_Avg Ta_HMP_Avg Tpanel_Avg Tv_CSAT_Avg Ux_CSAT_Avg Uy_CSAT_Avg Uz_CSAT_Avg Vbat_Avg WD_CSAT_Avg WD_CSAT_Compass_Avg WD_CSAT_Sd WS_CSAT_Avg ps_7500_Avg rho_a_Avg time time_YYYYmmDDHHMMSSProgress Code: completedStatement: The data contains gaps, which does not contain time stamps. There is some noise that needs to be removed.&rft.creator=Siems, S. and Ackermann, L. &rft.creator=SIEMS, STEVEN &rft.creator=ACKERMANN, LUIS &rft.date=2020&rft.coverage=westlimit=158.935; southlimit=-54.5001; eastlimit=158.9351; northlimit=-54.5&rft.coverage=westlimit=158.935; southlimit=-54.5001; eastlimit=158.9351; northlimit=-54.5&rft_rights=These data are publicly available for download from the provided URL.&rft_rights=Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/legalcode&rft_rights=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=AAS_4340_macquarie_met_30min_2016-2018_1 when using these data.&rft_rights=This metadata record is publicly available.&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > HEAT FLUX&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > ATMOSPHERIC CARBON DIOXIDE&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > ABSOLUTE HUMIDITY&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE&rft_subject=OPEN PATH CO2/H2O GAS ANALYZER&rft_subject=LICOR 7500&rft_subject=CARBON FLUX&rft_subject=SONIC ANEMOMETER&rft_subject=FIXED OBSERVATION STATIONS&rft_subject=AMD/AU&rft_subject=AMD&rft_subject=CEOS&rft_subject=OCEAN > SOUTHERN OCEAN > MACQUARIE ISLAND&rft_subject=GEOGRAPHIC REGION > POLAR&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/legalcode

These data are publicly available for download from the provided URL.

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=AAS_4340_macquarie_met_30min_2016-2018_1 when using these data.

This metadata record is publicly available.

Access:

Other

Full description

From the project summary:

Both satellite products and climate models have large biases in the energy and water budgets over the Southern Ocean (SO), which is not surprising given this environment's unique nature. The air is free of dust and pollution, and the surface is governed by strong winds, large waves and heavy sea spray. These conditions lead to the greatest fractional cloud cover over any place on the globe. Much of these biases are a direct consequence of a poor understanding of the structure and dynamics of the SO atmospheric boundary layer, which in turn is a consequence of the sparse observations being available due to the harsh conditions. This proposals call for employing unmanned aerial vehicles/systems from Macquarie Island to make unprecedented observations of the boundary layer processes over the SO. These observations will be used to both model the boundary layer dynamics and clouds and evaluate satellite products and numerical simulations of surface fluxes, cloud properties and sea spray.

The data was recorded at lat: -54.5, lon:158.935. The observations include Absolute Humidity, Relative Humidity, Ambient Temperature, Potential Temperature, 3D wind speed, and Carbon concentration.
The data is in netcdf4 format with medium compression, and have all available information in the attributes of each variable. The data can be easily previewed with an application like Panoply (https://www.giss.nasa.gov/tools/panoply/).
The variable names are:
Ah_7500_Avg
Cc_7500_Avg
RH_HMP_Avg
Ta_HMP_Avg
Tpanel_Avg
Tv_CSAT_Avg
Ux_CSAT_Avg
Uy_CSAT_Avg
Uz_CSAT_Avg
Vbat_Avg
WD_CSAT_Avg
WD_CSAT_Compass_Avg
WD_CSAT_Sd
WS_CSAT_Avg
ps_7500_Avg
rho_a_Avg
time
time_YYYYmmDDHHMMSS

Lineage

Progress Code: completed
Statement: The data contains gaps, which does not contain time stamps. There is some noise that needs to be removed.

Notes

Purpose
This data set can be used to estimate moisture and carbon fluxes in this Southern Ocean location.

Data time period: 2016-11-19 to 2018-03-14

This dataset is part of a larger collection

Click to explore relationships graph

158.9351,-54.5 158.9351,-54.5001 158.935,-54.5001 158.935,-54.5 158.9351,-54.5

158.93505,-54.50005

text: westlimit=158.935; southlimit=-54.5001; eastlimit=158.9351; northlimit=-54.5

Other Information
Download the dataset. (GET DATA > DIRECT DOWNLOAD)

uri : https://data.aad.gov.au/eds/5073/download

Public information for AAS project AAS_4340 (PROJECT HOME PAGE)

uri : https://projects.aad.gov.au/search_projects_results.cfm?project_no=AAS_4340

Citation reference for this metadata record and dataset. (VIEW RELATED INFORMATION)

uri : https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4340_macquarie_met_30min_2016-2018_1

Identifiers
  • global : AAS_4340_macquarie_met_30min_2016-2018_1