Retrieving Soil Moisture States Using Streamflow Data Assimilation C. Rüdiger a Supervisors: Jeffrey P. Walker a, Jetse D. Kalma b, Garry R. Willgoose.

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Presentation transcript:

Retrieving Soil Moisture States Using Streamflow Data Assimilation C. Rüdiger a Supervisors: Jeffrey P. Walker a, Jetse D. Kalma b, Garry R. Willgoose c a Dept. of Civil & Env. Eng., University of Melbourne, Australia b School of Engineering, University of Newcastle, Australia c School of Geography, University of Leeds, United Kingdom

Christoph Rüdiger Postgrad Seminar 2004 Koster et al., JHM, 2000

Christoph Rüdiger Postgrad Seminar 2004

Christoph Rüdiger Postgrad Seminar 2004 Goulburn Catchment Melbourne Newcastle Sydney 1000km0km

Christoph Rüdiger Postgrad Seminar 2004 Goulburn Catchment Streamgauge Soil Moisture Climate

Christoph Rüdiger Postgrad Seminar 2004 Catchment Land Surface Model Koster et al., JGR, 2000 Saturation Depth Water Table Eq. profile Moisture Deficit D = 0 D = small D = large Prognostic variables: Catchment Deficit Surface Moisture Excess Root Zone Excess

Christoph Rüdiger Postgrad Seminar 2004 Internal routing Travel time T pi Velocity weight v -1

Christoph Rüdiger Postgrad Seminar 2004 Synthetic Experiment Variational Data Assimilation model output time obj. function assimilation step NLFIT (Kuczera, WRR, 1982) “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)

Christoph Rüdiger Postgrad Seminar 2004 Results “Experiment 1” DischargeSoil Moisture

Christoph Rüdiger Postgrad Seminar 2004 Results “Experiment 1”

Christoph Rüdiger Postgrad Seminar 2004 Results “Experiment 2” DischargeSoil Moisture

Christoph Rüdiger Postgrad Seminar 2004 Results “Experiment 2”

Christoph Rüdiger Postgrad Seminar 2004 Conclusion from Results Results show that runoff has useful information about soil moisture states Problems in semi-arid regions, when overestimation of water input due to degraded forcing data (potentially for too dry, as well!?) Monthly assimilation windows have positive impact, reduction of assimilation window should improve results further

Christoph Rüdiger Postgrad Seminar 2004 Future Work Including inter-catchment routing Comparison of different climates (real data) Assimilation of surface soil moisture

Christoph Rüdiger Postgrad Seminar 2004 Acknowledgments Australian Research Council (ARC-DP grant ) 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)