Satellite Remote Sensing in Hydrological Data Assimilation

By: Khaki, Mehdi

I Hydrological Data Assimilation

1 Introduction

1.1 Hydrologic modelling, challenges and opportunities

1.2 Data assimilation

1.3 Hydrological data assimilation

2 Data assimilation and remote sensing data

2.1 Satellite remote sensing, new opportunities

2.2 Satellite data assimilation challenges

II Model-Data 14

3 Hydrologic model

3.1 Background

3.2 Forcing observations

4 Remote sensing for assimilation

III Data Assimilation Filters

5 Sequential Data Assimilation Techniques for Data Assimilation

5.1 Summary

5.2 Introduction

5.3 Model and Datasets

5.3.1 W3RA

5.3.2 GRACE-derived Terrestrial Water Storage

5.3.3 In-situ data

5.4 Filtering Methods and Implementation

5.4.1 Stochastic Ensemble Kalman Filter (EnKF)

5.4.2 Deterministic Ensemble Kalman Filters

5.4.3 Particle Filtering

5.4.4 Filter Implementation

5.5 Results

5.5.1 Assessment with GRACE and in-situ data

5.5.2 Error Analysis

5.6 Summary and Conclusions

IV GRACE Data Assimilation

6 Efficient Assimilation of GRACE TWS into Hydrological Models

6.1 Summary

6.2 Introduction

6.3 Datasets

6.3.1 GRACE

6.3.2 W3RA

6.3.3 Validation Data

• Format: Hardcover
• Language: English
• ISBN: 3030373746
• ISBN13: 9783030373740
• Release Date: January 2020
• Publisher: Springer
• Length: 290 Pages
• Weight: 1.34 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"