Slide 1

The aim of  SASMAS
Estimation of Spatial Distribution of Soil Moisture
Estimation of Temporal Variation of Soil Moisture
Scaling between Satellite Soil Moisture Products
and On-Site Point Measurements
Connecting Soil Moisture Measurements with Streamflow Measurements
Validation of AMSR-E data

Subprojects
Scaling Studies (Manju Hemakumara)

Areas of Application
Climatic Modelling
Flood Forecasting
Agriculture

Field Site
Goulburn River Catchment
Proximity to Newcastle
Size and geophysical properties
Cleared areas
Division into 4 subcatchments

Subcatchments

Surface conditions

Instrumentation
Installation of …
2 weather stations and several rain gauges
26 soil moisture monitoring sites
1 flume and 2 river gauges
Use of …
3 existing weather stations
3 stream gauges

Location
of Instrumentation

Schematic of a Soil Moisture Site

Instrumentation

Instrumentation

Streamflow Data Assimilation
Why the Focus on Streamflow Data
Updating of Soil Moisture States
Soil Moisture Estimation under Vegetation Canopy

Streamflow Data Assimilation
How
Gauging stations, flume, soil moisture sensors and satellite remote sensed data
Implementing Streamflow Routing Model into Rainfall-Runoff Models
Variational Approach
Ensemble Kalman Filter

Approach to Streamflow Modelling
- Creating model
- Synthetic study on model
Application of Mahurangi (NZ) data sets
Application of Goulburn data sets

Acknowledgements
Australian Research Council
(Research Grant)
NASA, Hydrological Sciences Branch (Instrumentation)