Scaling and Assimilation of Soil moisture and Streamflow SASMAS - PowerPoint PPT Presentation

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Scaling and Assimilation of Soil moisture and Streamflow SASMAS

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Jetse Kalma, Garry Willgoose, Riki Davidson, Manju Hemakumara ... (Riki Davidson) Satellite Data Validation (eg. AMSR-E) (all candidates) Christoph R diger ... – PowerPoint PPT presentation

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Title: Scaling and Assimilation of Soil moisture and Streamflow SASMAS


1
(No Transcript)
2
The aim of SASMAS
  • Estimation of Spatial Distribution of Soil
    Moisture
  • Estimation of Temporal Variation of Soil Moisture
  • Scaling between Satellite Soil Moisture
    Productsand On-Site Point Measurements
  • Connecting Soil Moisture Measurements with
    Streamflow Measurements
  • Validation of AMSR-E data

3
Subprojects
  • Scaling Studies (Manju Hemakumara)
  • Soil Moisture Data Assimilation (Riki
    Davidson)
  • Streamflow Data Assimilation (Christoph
    Rüdiger)
  • Satellite Data Validation (eg. AMSR-E) (all
    candidates)

4
Areas of Application
  • Climatic Modelling
  • Flood Forecasting
  • Agriculture

5
Field Site
  • Goulburn River Catchment
  • Proximity to Newcastle
  • Size and geophysical properties
  • Cleared areas
  • Division into 4 subcatchments

6
Subcatchments
Stanley
Krui River
Merriwa River
7
Surface conditions
8
Instrumentation
  • Installation of
  • 2 weather stations and several rain gauges
  • 26 soil moisture monitoring sites
  • 1 flume and 2 river gauges
  • Use of
  • 3 existing weather stations
  • 3 stream gauges

9
Locationof Instrumentation
Weather Stations
Soil Moisture Sites
Stream Gauges
Future Stream Gauges
10
Schematic of a Soil Moisture Site
30cm
Logger
T
0 - 30cm
30 60 cm
60 - 90cm
SM
SM
SM
30cm
60cm
75cm
CS616
Logger
backfilled soil
30cm
30cm
N
11
Instrumentation
12
Instrumentation
13
Streamflow Data Assimilation
  • Why the Focus on Streamflow Data
  • Updating of Soil Moisture States
  • Soil Moisture Estimation under Vegetation Canopy

14
Streamflow Data Assimilation
  • How
  • Gauging stations, flume, soil moisture sensors
    and satellite remote sensed data
  • Implementing Streamflow Routing Model into
    Rainfall-Runoff Models
  • Variational Approach
  • Ensemble Kalman Filter

15
Approach to Streamflow Modelling
  • - Creating model
  • - Synthetic study on model
  • Application of Mahurangi (NZ) data sets
  • Application of Goulburn data sets

16
Acknowledgements
  • Australian Research Council (Research Grant)
  • NASA, Hydrological Sciences Branch
    (Instrumentation)
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