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Monash Land Ecosystem Atmosphere Program (LEAP) - Howard Springs Flux Tower site

howard pano

Project Overview

To understand the effects of fire on heat, moisture and carbon dioxide fluxes in Australia's tropical savannas. Details can be found by clicking HERE . The project is closely related to Dr. Lindsay Hutleys CRC project examining the water and carbon exchanges of savannas ( http://savanna.ntu.edu.au/research/projects/carbon.html ). The tower will provide longterm measurements as part of the Ozflux network .

Data

Data from this site is available through the international FLUXNET database or via the authors email jason.beringer@monash.edu

Further Information

Acknowledgements

This site is produced by the Climate Group, School of Geography and Environmental Science and proudly part of the Australian Flux Network (OzFlux) and the Australian NCRIS Terrestral Ecosystem Research Network (TERN).

Howard Springs flux tower data

Howard Springs flux tower data

Howard Springs flux tower data

Howard Springs flux tower data

Howard Springs flux tower data

Howard Springs flux tower data

Howard Springs flux tower data Howard Springs flux tower data

Instrument

Make

Model

Description

Open path CO2, H2O

LI-COR

LI-7500

23m

Sonic anemometer
- wind velocities (u,v,w)
- sonic temperature

Campbell Scientific

CSAT-3

23m

Solar Radiation (incoming)

Kipp and Zonen

CM-7B

23m

Solar Radiation (reflected)

Kipp and Zonen

CG-2

23m

Atmospheric Pressure

LI-COR

LI-7500

23m

Soil Heat Flux (2 replicates)

Campbell Scientific

HFT3

Ground, -15 cm

Soil moisture

Campbell Scientific

CS616

10-100cm

Temperature and Relative Humidity

Vaisala

HMP45A

2m, 23m

Rain Gauge

Campbell Scientific

TB3

Ground

Data Loggers

Campbell Scientific

CR-3000


Power Supply
- 12V DC EC flux station

Kyocera

Solar panels (3) (BP)

Ground


Howard live camera

Howard MODIS data

The data was obtained from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics (ORNL DAAC) (http://daac.ornl.gov/MODIS/). The ORNL DAAC provides MODIS Land Product Subsets for model validation, site characterisation and remote-sensing purposes.

Daily updated data was obtained from this provider, with an area of 3x3km extracted using Python script written by Mr. Darien Pardinas-Diaz (darien.pardinas-diaz@monash.edu). The plots were produced using QC Filter Conditions 000 and 001. Condition 000 represents the highest QC Filter possible and 001 represents a reliable and usable QC Filter, though not to the standard of 000.

howard modis