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Retrieving Soil Moisture States Using Streamflow Data Assimilation

This research explores the assimilation of streamflow data to enhance soil moisture estimations within the Goulburn Catchment in Australia. It investigates how runoff provides insights into soil moisture states, especially in semi-arid areas where data can be degraded. Two experiments are conducted: one with altered precipitation inputs and a second focusing on low catchment deficit conditions. The findings indicate that shorter assimilation windows can improve accuracy in soil moisture retrieval. Supported by the Australian Research Council and NASA, this research aims to refine hydrological modeling techniques.

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Retrieving Soil Moisture States Using Streamflow Data Assimilation

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  1. Retrieving Soil Moisture States Using Streamflow Data Assimilation C. Rüdigera, J.P. Walkera, J.D. Kalmab, G.R. Willgoosec, and P.R. Houserd aDept. of Civil & Env. Eng., University of Melbourne, Australia bSchool of Engineering, University of Newcastle, Australia cSchool of Geography, University of Leeds, United Kingdom dHydrological Sciences Branch, NASA GSFC, USA

  2. Koster et al., JHM, 2000 Christoph Rüdiger AGU May 2004

  3. Christoph Rüdiger AGU May 2004

  4. Goulburn Catchment Newcastle Sydney Melbourne 0km 1000km Christoph Rüdiger AGU May 2004

  5. Goulburn Catchment Streamgauge Climate Soil Moisture www.civenv.unimelb.edu.au/~jwalker/data/oznet/ Christoph Rüdiger AGU May 2004

  6. Catchment Land Surface Model • Prognostic variables: • Catchment Deficit • Surface Moisture Excess • Root Zone Excess Depth Moisture Deficit Water Table Eq. profile Saturation Koster et al., JGR, 2000 Christoph Rüdiger AGU May 2004

  7. Internal routing Velocity weight v-1 Travel time Tpi Christoph Rüdiger AGU May 2004

  8. Synthetic ExperimentVariational Data Assimilation • “Truth”: • 10yr spin up • 1yr full run • “Experiment 1”: • One month only • Degraded soil moisture values (low catchment deficit) • “Experiment 2”: • “Openloop 1” and changed forcing (33% lower radiation and 20% higher precipitation) • NLFIT (Kuczera, WRR, 1982) model output time Christoph Rüdiger AGU May 2004

  9. Results “Experiment 1” Discharge Soil Moisture Christoph Rüdiger AGU May 2004

  10. Results “Experiment 1” Christoph Rüdiger AGU May 2004

  11. Results “Experiment 2” Discharge Soil Moisture Christoph Rüdiger AGU May 2004

  12. Conclusion from Results • Results show that runoff has information about soil moisture states • Problems in semi-arid regions, when overestimation of water input due to degraded forcing data • Monthly assimilation windows have positive impact, reduction of assimilation window should improve results further Christoph Rüdiger AGU May 2004

  13. Acknowledgments • Australian Research Council (ARC-DP grant 0209724) • Hydrological Sciences Branch, National Aeronautics and Space Administration (NASA), USA • University of Melbourne • Melbourne International Fee Remission Scholarship (MIFRS) • Postgraduate Overseas Research Experience Scholarship (PORES) Christoph Rüdiger AGU May 2004

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