Estimating Soil Moisture Profile Dynamics From Near-Surface Soil Moisture Measurements and Standard Meteorological Data

11/6/99


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Table of Contents

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

Kalman-Filter Update Every 5 Days

Volumetric Moisture Transformation

Summary of Results

A Simplified Moisture Model

Vertical Distribution Factor

Model Comparison

Kalman-Filter Update Every 5 Days

KF Modification for 3D Modelling

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

Summary of Results

Conclusions

Conclusions

Future Direction

Author: Jeffrey Walker

Email: j.walker@civag.unimelb.edu.au

Home Page: http://www.civag.unimelb.edu.au/~jwalker

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