Estimating Soil Moisture Profile Dynamics From Near-Surface Soil Moisture Measurements and Standard Meteorological Data
Importance of Soil Moisture
Background to Soil Moisture
Research Objective
Seminar Outline
Literature Review
Water Balance Approach
Soil Moisture Profile Estimation Algorithm
Data Assimilation
The (Extended) Kalman-Filter
Active or Passive?
The Modified IEM
Radar Observation Depth
Evol /Esur = ?
Application of the Models
1D Desktop Study
Temperature Dependence
Synthetic Data
Direct-Insertion Every Hour
Kalman-Filter Update Every Hour
Kalman-Filter Update Every 5 Days
Quasi Profile Observations
Volumetric Moisture Transformation
Summary of Results
A Simplified Moisture Model
Vertical Distribution Factor
Model Comparison
KF Modification for 3D Modelling
Correlation Estimate
Modified Kalman-Filter Application
Field Application
Meteorological Station
1D Model Calibration/Evaluation
1D Profile Retrieval - 1/5 Days
3D Model Calibration
3D Profile Retrieval
Conclusions
Future Direction
Email: j.walker@civag.unimelb.edu.au
Home Page: http://www.civag.unimelb.edu.au/~jwalker
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