IHSetDocs
Contents
1. Introduction
1.1. Motivation
1.2. Outline
2. Installation
2.1. Software and Data Availability
2.2. Installation procedure
3. Modules
3.1. Preprocess
3.1.1. Numerical Domain
3.1.2. Input dataset
3.1.2.1. Input File 1: Wave Forcing (Required)
3.1.2.2. Input File 2: Sea Level (Optional)
3.1.2.3. Input File 3: Shoreline Data (Required)
3.1.3. Module Procedure
3.1.3.1. Inputting Data
3.1.3.2. Transect Generation
3.1.3.3. Save Output
3.1.4. Output graphs and dataset
3.1.4.1. Generated graphs
Wave Forcing Graphs
Tide and Surge Graphs
Shoreline Observation Graphs
3.1.4.2. NetCDF file
3.2. Models
3.2.1 Static equilibrium
3.2.1.1. Beach Profile
Dean (1991)
Bernabeu et al. (2003)
3.2.1.2. Beach Planform
Hsu and Evans (1989)
3.2.2 Equilibrium-based shoreline evolution model (EBSEM)
3.2.2.1 Cross-shore
Miller and Dean (2004)
Yates et al. (2009)
Davidson et al. (2013)
Jara et al. (2015)
Jaramillo et al. (2020)
3.2.2.2. Rotation
Turki et al. (2013)
Jaramillo et al. (2021a)
3.2.3. One-line models
Hanson and Kraus (1989)
Description
Simulation procedure
Simulation inputs
Simulation results
3.2.4. Hybrid models
Jaramillo et al. (2021b) | IH-MOOSE
Description
Simulation procedure
Simulation settings
Simulation results
3.3. Visualizer
3.3.1. Procedure
3.3.2. Results
4. Test Cases
4.1. Introduction to Study Sites
4.1.1. Case 1: Curl Curl Beach, Australia.
4.1.2. Case 2: Tairua, New Zealand.
4.2. Input Files Examples
4.2.1. Wave Files:
4.2.2. Tide and Surge Files:
4.2.3. Shoreline Files:
4.3. Other Data Sources
4.3.1. Wave data
4.3.2. Tide data
4.3.3. Shoreline data
5. Calibration
5.1. Shuffled Complex Evolution - University of Arizona (SCE-UA)
Background
How It Works
Use Case
Configuration
5.2. Non-dominated Sorting Genetic Algorithm II (NSGA-II)
Background
How It Works
Use Case
Configuration
5.3. Strength Pareto Evolutionary Algorithm 2 (SPEA2)
Background
How It Works
Use Case
Configuration
5.4. Simulated Annealing (SA)
Background
How It Works
Use Case
Configuration
5.5. Metrics
5.5.1. Mielke Skill Score (MSS)
5.5.2. Nash-Sutcliffe Efficiency (NSE)
5.5.3. Pearson Correlation (
\(\rho\)
)
5.5.4. Spearman Correlation (
\(S_{\rho}\)
)
5.5.5. Agreement Index (AI)
5.5.6. Kling-Gupta Efficiency (KGE)
5.5.7. Non-Parametric KGE (npKGE)
5.5.8. Logarithmic probability Distribution (LPD)
5.5.9. Bias (BIAS)
5.5.10. Percent Bias (PBIAS)
5.5.11. Mean Squared Error (MSE)
5.5.12. Root Mean Squared Error (RMSE)
5.5.13. Mean Absolute Error (MAE)
5.5.14. Relative RMSE (RRMSE)
5.5.15. RMSE-Observations Standard Deviation Ratio (RSR)
5.5.16. Decomposed MSE (DMSE)
5.5.17. Covariance
6. List of symbols
7. Publications & Bibliography
7.1 Publications
7.1.1. Journal papers
7.1.2. Conference papers
7.1.3. Posters
7.2. Bibliography
IHSetDocs
Index
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Index