1
2	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
3	Subprojects Scaling Studies (Manju Hemakumara)
4	Areas of Application Climatic Modelling Flood Forecasting Agriculture …
5	Field Site Goulburn River Catchment Proximity to Newcastle Size and geophysical properties Cleared areas Division into 4 subcatchments
6	Subcatchments
7	Surface conditions
8	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
9	Location of Instrumentation
10	Schematic of a Soil Moisture Site
11	Instrumentation
12	Instrumentation
13	Streamflow Data Assimilation Why the Focus on Streamflow Data Updating of Soil Moisture States Soil Moisture Estimation under Vegetation Canopy
14	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
15	Approach to Streamflow Modelling - Creating model - Synthetic study on model Application of Mahurangi (NZ) data sets Application of Goulburn data sets
16	Acknowledgements Australian Research Council (Research Grant) NASA, Hydrological Sciences Branch (Instrumentation)