OzFlux: The Australian flux and ecosystem research network

Data Path, Access and PublicationPresentation by Dr Peter Isaac, Dr Jason Beringer, Dr Eva van Gorsel and Dr Helen Cleugh

Knowledge of ecosystem water and carbon cycles

Surface fluxesRadiation

MeteorologySoil properties

Ecosystem dynamicsSpatial and temporal

dynamicsContinental & global

budgets

Vegetation typeLeaf area indexGross primary

productSoil moistureHyperspectral

Flux tower network

Remote sensing

Land surface models

Site characteristicsBiomass

Soil carbon & nutrientsLeaf-level photosynthesis

Intensive field campaigns

10-3 10-2 10-1 100 101 102 103 104metres

Length Scale

10-1

100

101

102

103

104

105

106

Leaf Canopy Patch Region

Seconds

Minutes

Days

Yearsseconds

Leaf LevelObservations

Flu

x T

ow

er

Aircraft Fluxes

Aircraft Remote Sensing

Satellite Remote Sensing

Land Surface Model

GCM

Plot LevelObservations

Leaf Level Physiology

assumed to apply

Tim

e Sc

ale

Direct measurement

Indirect measurement(remote sensing)

Modelling

OzFlux Data Types

• Turbulence (u’,v’,w’,T’,q’,c’)– Sampled and stored at 10 Hz (“fast”), retrieved ~monthly– Wind components, temperature, water vapour and CO2

concentration• Meteorological (T,RH,WS,WD,Fsd,Tsoil,Rain etc)

– Sampled at 0.1 Hz (“slow”), stored as 30 minute averages, retrieved ~daily

– Wind speed, direction, temperature, relative humidity, soil temperature, soil moisture, rainfall, CO2 and H2O profiles

• Ancillary– Sampled and stored as required (~daily to monthly)– Leaf area index, soil properties, vegetation morphology

• Intensive campaign– Sampled and stored as required (~1 – 2 yearly)– Photosynthetic properties, above and below ground biomass,

soil carbon, etc

u’, v’, w’, T’

q’,c’

WS, WD, T, RH

Fsd, Fsu, Fld, Flu

Fg, Sws, Tsoil

Rain

10 Hz

0.1 Hz

Fast (10 Hz raw)

Slow (30 minute average)

CR3000data logger

Slow(30 minute average)

Fast (10 Hz)(optional with

ethernet modem)

Modmaxmodem

CF card

OzFlux Data Path: Tower

OzFlux Tower Data Output

• Average data (30 or 60 minute, ASCII files)– surface fluxes

• momentum (Fm), sensible heat (Fh), latent heat (Fe), carbon dioxide (Fc)

– solar and terrestrial radiation• incoming & outgoing shortwave (Fsd & Fsu), incoming and

outgoing longwave (Fld & Flu), net allwave (Fn)

– meteorology• air temperature (T), relative humidity (RH), wind speed

and direction (WS & WD)– soil

• soil temperature (Tsoil), soil moisture (Sws), ground heat flux (Fg)

OzFlux Data Path: Real Time Display

Wombat State ForestVictoria

Requires digcert for access to dialup PC at Monash

Sturt PlainsNorthern Territory

OzFlux Data Path: Web Display

OzFlux Data Path: Processing

CF cardmodemmanual collection

“slow” data30 min. avgASCII files Collate

L1spreadsheet

L1netCDF

Qualitycontrol

Convert &subset

L2netCDF

Post-processing

L3netCDF

Manual

Python

Python

Python

OzFluxDMSWWW

Batch-oriented processingConsistent across all sites

Submission to DMS via webAutomatic publishing from DMS to ANDS

rif-cs

OzFlux Data Management System

OzFlux Network Example

• 9 sites with data collection by modem

• 1/11/2010 to 7/11/2010 inclusive

• Basic QC only (not rotated, no gap fill, no u* threshold)

• Incoming shortwave (Fsd, yellow)• sensible heat (Fh, red)• latent heat (Fe, blue)• Net ecosystem exchange (Fc, green)

Acknowledgements

ARCACCSP DCCEEBushfire CRCTRaCKCSIROJames Cook UniversityQueensland University of TechnologyMonash UniversityUniversity of MelbourneForestry TasmaniaUniversity of AdelaideCharles Darwin UniversityUniversity of Technology, SydneyThe University of SydneyUniversity of Waikato, NZLandcare Research, NZ