Retrieving Soil Moisture States Using Streamflow Data Assimilation

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Presentation transcript:

Retrieving Soil Moisture States Using Streamflow Data Assimilation C. Rüdigera, J.P. Walkera, J.D. Kalmab, G.R. Willgoosec, and P.R. Houserd 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 d Hydrological Sciences Branch, NASA GSFC, USA

Koster et al., JHM, 2000 Christoph Rüdiger AGU May 2004 Soil moisture controls weather Need to properly initialise SM for use in LSM Especially true for areas like Amazon, Sahel, SE Asia (ET) Problems with remote sensing of SM in these areas Koster et al., JHM, 2000 Christoph Rüdiger AGU May 2004

Christoph Rüdiger AGU May 2004

Goulburn Catchment Newcastle Sydney Melbourne Christoph Rüdiger Geography, Size etc., Location, Data Melbourne 0km 1000km Christoph Rüdiger AGU May 2004

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

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

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

Synthetic Experiment Variational 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

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

Results “Experiment 1” Christoph Rüdiger AGU May 2004

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

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

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