XDS: FLUXNET

FluxNet is a global network of regional carbon and flux tower sites. The data from the Howard Springs tower near Darwin, Australia, is processed to the FluxNet level 4 by Dr. Lindsay Hutley at Charles Darwin University. The data sets contain the carbon and energy flux measurements with a 30-min sampling frequency.

There are two datastreams that are associated with FLUXNET data:
twpfluxnetlev4X33.01
twpfluxnetlev4qcX33.01

A single record in twpfluxnetlev4X33.01 contains 26 variable-length, comma-delimited fields. The typical field order and field description is listed below.

var_name        unit        Variable Long Name
-----------     -------     ---------------------
Ah              g/m^3       "Merged from Ah_HMP_23m, Ah_7500_Av, Ah_HMP_2m"
Cc_7500_Av      mg/m^3      "C02 concentration, average"
Cc              umol/mol    "Merged from Cc_7500_Av, converted to umol/mol"
eta             deg         "Horizontal rotation angle"
Fa              W/m^2       "Available energy using Fn, Fg"
Fc              umol/m^2/s  "C02 flux, rotated to natural wind coordinates, WPL corrected Fc, converted to umol/m^2/s"
Fe              W/m^2       "Latent heat flux, roated to natural wind coordinates, WPL corrected Fe"
Fg              W/m^2       "Element-wise average of series Fg_8cma, Fg_8cmb, Fg_8cmc, Fg_8cmc, Fg_8cmd, Soil heat flux corrected for storage"
Fh              W/m^2       "Sensible heat flux, rotated to natural wind coordinates, Fh rotated and converted from virtual heat flux"
Fld             W/m^2       "Downwelling long wave"
Flu             W/m^2       "Upwelling long wave"
Fm              kg/m/s^2    "Momentum flux, rotated to natural wind coordinates"
Fn              W/m^2       "Merged from Fn_KZ, FN_NR"
Fsd             W/m^2       "Downwelling short wave"
Fsu             W/m^2       "Upwelling shortwave"
ps              kPa         "Air pressure"
Sws             frac        "Element-wise average of series Sws_10cma, Sws_10cmb"
Sws_40cma       frac        "Soil water fraction, sensor 2a"
Sws_100cma      frac        "Soil water fraction, sensor 3a"
Ta              C           "Merged from Ta_HMP_23m, Ta_CSAT, Ta_HMP_2m"
theta           deg         "Vertical rotation angle"
Ts              C           "Element-wise average of series Ts_8cma"
ustar           m/s         "Friction velocity, rotated to natural wind coordinates"
ustar_filtered  m/s         "ustar filtered for low turbulence conditions (<0.25)"
Ws_CSAT         m/s         "Wind speed"
Wd_CSAT         deg         "Wind direction"

twpfluxnetlev1X33.0001/01/201208/04/2014

Notes:
Data is available with a quarterly delay.

Howard Springs in Darwin, Australia

Vasile Tudor Garbulet

ARM Data Center

Institution
Charles Darwin University, Lindsay Hutley

The Fire flux team at MONASH UNIVERSITY
Howard Springs Site Information
Howard Springs OzFlux tower site

• The original data are in .xlsx spreadsheet format, described in flux-data-description-Howard-springs-200610.doc.
• Beginning 2012-01-01, two types of data(Level_1 and Level_4) are produced:
  • Level_1 data contain fluxes and energy balance data in the rawest format (direct measurements).
  • level_4 data are gap-filled and contain quality control information.
• The data prior to 2012 are daily summary files (daily averages and standard deviations).
• To order the data prior to 2012-01-01 (currently 2001/2006) or the raw Level_1 data, please submit a special request to armarchive@ornl.gov with the datastream and date range you are interested in: 2001-2006(twp60fluxnetX33.00), Level_1 non-qc?d data(twpfluxnetlev1X33.00).

Please see the samples of twpfluxnetlev4X33.01 and twpfluxnetlev4qcX33.01

Beringer, J, LB Hutley, NJ Tapper, and LA Cernusak. 2007. “Savanna fires and their impact on net ecosystem productivity in North Australia.” Global Change Biology 13(5): 990-1004, doi: 10.1111/j.1365-2486.2007.01334.x

Hutley, LB, and J Beringer. 2011. “Disturbance and climatic drivers of carbon dynamics of a North Australian tropical Savanna.” Ecosystem Function in Savannas: Measurement and Modeling at Landscape to Global Scales 3: 57-75, doi: 10.1201/b10275