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Soil Moisture Estimation and Streamflow Data Assimilation for Climate, Flood, and Agriculture Applications

This project focuses on estimating the spatial distribution and temporal variation of soil moisture, scaling satellite soil moisture products with on-site measurements, and connecting soil moisture with streamflow data. It includes field sites in the Goulburn River Catchment and utilizes weather stations, soil moisture sensors, and stream gauges for instrumentation. Streamflow data assimilation techniques are employed, along with the application of different data sets.

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Soil Moisture Estimation and Streamflow Data Assimilation for Climate, Flood, and Agriculture Applications

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  1. The aim of SASMAS • Estimation of Spatial Distribution of Soil Moisture • Estimation of Temporal Variation of Soil Moisture • Scaling between Satellite Soil Moisture Productsand On-Site Point Measurements • Connecting Soil Moisture Measurements with Streamflow Measurements • Validation of AMSR-E data Christoph Rüdiger

  2. Subprojects • Scaling Studies (Manju Hemakumara) • Soil Moisture Data Assimilation (Riki Davidson) • Streamflow Data Assimilation (Christoph Rüdiger) • Satellite Data Validation (eg. AMSR-E) (all candidates) Christoph Rüdiger

  3. Areas of Application • Climatic Modelling • Flood Forecasting • Agriculture • … Christoph Rüdiger

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

  5. Subcatchments Stanley Krui River Merriwa River Christoph Rüdiger

  6. Surface conditions Christoph Rüdiger

  7. 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 Christoph Rüdiger

  8. Locationof Instrumentation Weather Stations Soil Moisture Sites Stream Gauges Future Stream Gauges Christoph Rüdiger

  9. Schematic of a Soil Moisture Site 30cm Logger T 0 - 30cm 30 – 60 cm 60 - 90cm SM SM SM 30cm 60cm 75cm CS616 Logger backfilled soil 30cm 30cm N Christoph Rüdiger

  10. Temperature Sensor Weather Station at Spring Hill Soil Moisture Sensor Instrumentation Christoph Rüdiger

  11. Instrumentation Christoph Rüdiger

  12. Streamflow Data Assimilation • Why the Focus on Streamflow Data • Updating of Soil Moisture States • Soil Moisture Estimation under Vegetation Canopy Christoph Rüdiger

  13. 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 Christoph Rüdiger

  14. Approach to Streamflow Modelling - Creating model - Synthetic study on model • Application of Mahurangi (NZ) data sets • Application of Goulburn data sets Christoph Rüdiger

  15. Acknowledgements • Australian Research Council (Research Grant) • NASA, Hydrological Sciences Branch (Instrumentation) Christoph Rüdiger

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