Streamflow Data Assimilation
Christoph Rüdiger
Supervisors:
Jeffrey Walker, University of Melbourne, Australia
Jetse Kalma, University of Newcastle, Australia
Garry Willgoose, University of Leeds, United Kingdom
Christoph Rüdiger
Dept. Seminar 1 May 2003
OverviewOverviewResearch objectivesResearch objectives
Introduction to field sites and instrumentationIntroduction to field sites and instrumentation
Approach to the problem and future tasksApproach to the problem and future tasks– Hydrological modelHydrological model– Data assimilationData assimilation
Problems in generalProblems in general
Christoph Rüdiger
Dept. Seminar 1 May 2003
Research ObjectivesResearch Objectives
Streamflow data assimilation for use of soil Streamflow data assimilation for use of soil moisture predictions in a hydrological moisture predictions in a hydrological modelmodel
Joint assimilation of streamflow data and Joint assimilation of streamflow data and near surface soil moisture into a near surface soil moisture into a hydrological modelhydrological model
Christoph Rüdiger
Dept. Seminar 1 May 2003
Christoph Rüdiger
Dept. Seminar 1 May 2003
Soil Moisture? What for?Soil Moisture? What for?
Drought monitoring
Flood prediction
Irrigation policies
Weather forecasting
Christoph Rüdiger
Dept. Seminar 1 May 2003
Field Site (SASMAS)Field Site (SASMAS)
Goulburn River CatchmentGoulburn River Catchment– Proximity to NewcastleProximity to Newcastle– Size and geophysical Size and geophysical
propertiesproperties– Cleared areasCleared areas
– Division into 4 subcatchmentsDivision into 4 subcatchments
Christoph Rüdiger
Dept. Seminar 1 May 2003
Vegetation and Soils (SASMAS)Vegetation and Soils (SASMAS)
50km
40km
Christoph Rüdiger
Dept. Seminar 1 May 2003
LocationLocationof Instrumentationof InstrumentationSoil Moisture SitesSoil Moisture SitesDLWC Stream GaugesDLWC Stream GaugesWeather Stations Weather Stations Project Stream GaugesProject Stream Gauges
Subcatchments
TemperatureRel. Humidity
Pluviometer Net radiometer
Wind speedWnd direction
2 x Heat Flux Plates
CS616
8 x CS T107
Solar radiation
Logger box
Solar panel
TDR
N
S
M
D
T
D M S
T
T
Solar Panel
Logger Box
Logger Box
TDR
TDR
Microcatchment
Christoph Rüdiger
Dept. Seminar 1 May 2003
Surface Conditions (MARVEX)Surface Conditions (MARVEX)
(from Woods et al., 2001)
Christoph Rüdiger
Dept. Seminar 1 May 2003
Site LocationsSite Locations
Stream gauges
Raingauges
Soil moisture sites
(from Woods et al., 2001)
Christoph Rüdiger
Dept. Seminar 1 May 2003
ApproachApproach
Hydrological modelling (VIC-3L model; Liang et Hydrological modelling (VIC-3L model; Liang et al. 2001) with synthetic and real dataal. 2001) with synthetic and real data
Data assimilation Data assimilation
Routing modelRouting model
Test on different climates and scalesTest on different climates and scales(Goulburn and Mahurangi catchments –(Goulburn and Mahurangi catchments –subcatchments only and full sized)subcatchments only and full sized)
Joint streamflow & near-surface soil moisture Joint streamflow & near-surface soil moisture data assimilationdata assimilation
Christoph Rüdiger
Dept. Seminar 1 May 2003
Variable Infiltration CapacityVariable Infiltration Capacitybucket theory
Xinanjiang distribution
(from Wooldridge et al., 2001)
Christoph Rüdiger
Dept. Seminar 1 May 2003
What is Sequential Data What is Sequential Data Assimilation?Assimilation?
mod
el o
utpu
ter
ror
Christoph Rüdiger
Dept. Seminar 1 May 2003
What is Variational Data What is Variational Data Assimilation?Assimilation?
mod
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t
Christoph Rüdiger
Dept. Seminar 1 May 2003
Problems in GeneralProblems in General
Model assumptions (hydrological models & Model assumptions (hydrological models & routing model)routing model)
Accuracy of instrument data (sensors & stream Accuracy of instrument data (sensors & stream gauges)gauges)
Corruption of satellite dataCorruption of satellite data
Accessibility and representativeness of soil Accessibility and representativeness of soil moisture sites (Grayson and Western, 1998)moisture sites (Grayson and Western, 1998)