streamflow data assimilation christoph rüdiger

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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. Overview. Research objectives - PowerPoint PPT Presentation

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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

el o

utpu

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)

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