Brief 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 fluxes for Absolute Humidity, Heat, and Carbon.
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:
7500_Warn
AGC_7500_Avg
Amph_CSAT_Tot
Ampl_CSAT_Tot
CSAT_Warn
Chopper_7500_Tot
DelT_CSAT_Tot
Detector_7500_Tot
Fc_Avg
Fc_raw_Avg
Fe_Avg
Fe_raw_Avg
Fh_Avg
Fm_Avg
Pll_7500_Tot
Sync_7500_Tot
Track_CSAT_Tot
covAhAh
covAhTv
covCcAh
covCcCc
covCcTv
covTvTv
covUxAh
covUxCc
covUxTv
covUxUx
covUxUy
covUyAh
covUyCc
covUyTv
covUyUy
covUzAh
covUzCc
covUzTv
covUzUx
covUzUy
covUzUz
n_Tot
time
time_YYYYmmDDHHMMSS
Issued: 2020-02-03
Data time period: 2016-08-30 to 2018-03-14
text: northlimit=-54.5; southlimit=-54.5001; westlimit=158.935; eastLimit=158.9351; projection=WGS84
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AU-ANL:PEAU :
http://nla.gov.au/nla.party-617536
- global : ae7dad90-bddb-4a65-89d5-fc691515b31c
- DOI : 10.26179/5e438998774a5
- Local : AAS_4340_macquarie_flux_30min_2016-2018_1
- URI : https://data.aad.gov.au/metadata/records/AAS_4340_macquarie_flux_30min_2016-2018_1
- URI : https://data.aad.gov.au/metadata/records/AAS_4340_macquarie_flux_30min_2016-2018_1