Data

Macquarie Island flux data at 10 Hz resolution from 2016-11-07 to 2017-01-04 and 2018-01-17 to 2018-03-16

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=info:doi10.26179/5e43860e343f0&rft.title=Macquarie Island flux data at 10 Hz resolution from 2016-11-07 to 2017-01-04 and 2018-01-17 to 2018-03-16&rft.identifier=10.26179/5e43860e343f0&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 latitude: -54.5, lon:158.935. The observations include measurements of Absolute Humidity, Carbon Concentration, 3D wind, pressure, and ambient temperature.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 Cc_7500 Diag_7500Diag_CSATTa_HMP Tv_CSAT Ux_CSAT Uy_CSAT Uz_CSAT e_HMP ps_7500 timeOrthogonal wind vectors (u, v and w), sonic temperature, CO2 density, H2O vapour density, sonic anemometer diagnostic error count, infra-red gas analyser diagnostic error count, air temperature and humidity, air pressure.Progress 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_flux_10Hz_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 WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > ABSOLUTE HUMIDITY&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS&rft_subject=EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > ATMOSPHERIC CARBON DIOXIDE&rft_subject=EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD DYNAMICS > MOISTURE FLUX&rft_subject=EARTH SCIENCE > CLIMATE INDICATORS > CARBON FLUX&rft_subject=LICOR 7500&rft_subject=OPEN PATH CO2/H2O GAS ANALYZER&rft_subject=4340&rft_subject=AAS 4340&rft_subject=SONIC ANEMOMETER&rft_subject=FIXED OBSERVATION STATIONS&rft_subject=AMD&rft_subject=AMD/AU&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_flux_10Hz_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 latitude: -54.5, lon:158.935. The observations include measurements of Absolute Humidity, Carbon Concentration, 3D wind, pressure, and ambient temperature.
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
Cc_7500
Diag_7500
Diag_CSAT
Ta_HMP
Tv_CSAT
Ux_CSAT
Uy_CSAT
Uz_CSAT
e_HMP
ps_7500
time

Orthogonal wind vectors (u, v and w), sonic temperature, CO2 density, H2O vapour density, sonic anemometer diagnostic error count, infra-red gas analyser diagnostic error count, air temperature and humidity, air pressure.

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: 2016-11-07 to 2017-01-04

Data time period: 2018-01-17 to 2018-03-16

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)

url : https://data.aad.gov.au/eds/5071/download

Public information for AAS project AAS_4340 (PROJECT HOME PAGE)

url : https://projects.aad.gov.au/report_project_public.cfm?project_no=AAS_4340

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

url : https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4340_macquarie_flux_10Hz_2016-2018_1

Identifiers
ACN 633 798 857