Australian Water Availability Project Peter Briggs Michael Raupach, Vanessa Haverd, Edward King, Matt Paget, Cathy Trudinger CSIRO Marine and Atmospheric Research Acknowledgements Colleagues in CMAR, CLW, BoM, BRS Helen Cleugh, Damian Barrett, Luigi Renzullo, Francis Chiew, Tim McVicar, David Jones, William Wang, John Sims, Dave Barratt, James Risbey to name a few… Soil Moisture: ENSO and IOD Signatures in the MDB
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Australian Water Availability Project
Peter Briggs
Michael Raupach, Vanessa Haverd, Edward King,
Matt Paget, Cathy Trudinger
CSIRO Marine and Atmospheric Research
Acknowledgements
Colleagues in CMAR, CLW, BoM, BRSHelen Cleugh, Damian Barrett, Luigi Renzullo, Francis Chiew, Tim McVicar,
David Jones, William Wang, John Sims, Dave Barratt, James Risbey
to name a few…
Soil Moisture: ENSO and IOD Signatures in the MDB
Peter Briggs
Michael Raupach, Vanessa Haverd, Edward King,
Matt Paget, Cathy Trudinger
CSIRO Marine and Atmospheric Research
Acknowledgements
Colleagues in CMAR, CLW, BoM, BRSHelen Cleugh, Damian Barrett, Luigi Renzullo, Francis Chiew, Tim McVicar,
David Jones, William Wang, John Sims, Dave Barratt, James Risbey
to name a few…
An Introduction,
Some Early AWAP Science Highlights,
Australian Water Availability Project
Peter Briggs
Michael Raupach, Vanessa Haverd, Edward King,
Matt Paget, Cathy Trudinger
CSIRO Marine and Atmospheric Research
Acknowledgements
Colleagues in CMAR, CLW, BoM, BRSHelen Cleugh, Damian Barrett, Luigi Renzullo, Francis Chiew, Tim McVicar,
David Jones, William Wang, John Sims, Dave Barratt, James Risbey
to name a few…
An Introduction,
Some Early AWAP Science Highlights,
Australian Water Availability Project
(including a few very preliminary slides about the
ENSO and IOD Signature in AWAP Soil Moisture),
and...
Peter Briggs
Michael Raupach, Vanessa Haverd, Edward King,
Matt Paget, Cathy Trudinger
CSIRO Marine and Atmospheric Research
Acknowledgements
Colleagues in CMAR, CLW, BoM, BRSHelen Cleugh, Damian Barrett, Luigi Renzullo, Francis Chiew, Tim McVicar,
David Jones, William Wang, John Sims, Dave Barratt, James Risbey
to name a few…
Australian Water Availability Project
A Mesmerising Short Film To Make
You Forget Everything Else
Outline
A Brief Overview of AWAP
Early AWAP Science Highlights
Near-real-time soil moisture results
The signature of SOI and IOD in AWAP soil moisture
The MDB water loss cascade
Improving the CABLE Soil Model (Vanessa Haverd)
How does uncertainty in forcing met propagate to uncertainty
in the water balance
AWAP in the future
Out of our hands: AWAP take-up in the community
AWAP The Movie: Deep soil moisture and the SOI 1900-2007
A Joint Project CSIRO, BoM, BRS, and ANU
Project Aims
Monitor the state & trend of Australia‟s terrestrial water balance at
5 km resolution
Create a prototype operational system to automate the data
gathering, modelling, visualisation and delivery of results in near-
real time
Use model-data fusion methods to combine measurements
(satellite and hydrological) and model predictions
Mean relative water content in lower soil layer, Jan-Dec 2002
Red: 25th percentile and lower
Blue: 75th percentile and higher
Project Outputs
Soil moisture, all fluxes contributing to changes in soil moisture:
rainfall, transpiration, soil evaporation,
surface runoff, deep drainage
Automated web based delivery of data and visualisations
Weekly near-real-time updates
Historical monthly series updates
Historical monthly climatologies
Mean relative water content in lower soil layer, Jan-Dec 2002
Red: 25th percentile and lower
Blue: 75th percentile and higher
transpiration from layer 1 soil evaporatirainfa on
surface runoff drainage from layer 1 to
change in soil water
layer
layer
1
2
ll
WaterDyn
Dynamic model for two-layer soil water and green-leaf carbon
Daily time steps
No horizontal transport between grid cells
Transpiration each layer = min (energy-limited [P-T], water limited
rate) (then combined in a simple yet elegant way…)
When soil saturated, all precip runs off; no runoff otherwise
Runoff and deep drainage are losses to the system (someone elses
problem)
Leaf carbon allocation response to soil water (when implemented): will
use ecological optimality principles (Raupach 2005)
drainage from layer 1 to la deep drainage change in soil water
layout of layer 2
transpi
er
ration from l
yer
ayer 2
22
change in
leaf carbon
= [ net primary production ] − [ leaf decay ]
WaterDyn Testing:200 Unimpaired* catchments (mostly wetter areas) in SE Australia
Comparison:
Observed river
discharges at gauging
stations
vs.
Waterdyn total runoff
(surface runoff +
leaching) for catchment
area above gauging
stations
Unimpaired catchment
data provided by
Francis Chiew
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Murray-Darling Basins
South-East Coast Basins
Murrumbidgee Basin
Unimpaired Catchments
Major Rivers
*Unimpaired catchment: discharge not significantly affected by dams or water extraction
WaterDyn Performance (Mean Annual Discharge)
Predicted vs observed mean annual discharge for 200 unimpaired
catchments, 1981-2006
Forward mode, no data-assimilation (will improve)
Substantial better than original single-layer model