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| 1 |
+
<div align="center">
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| 2 |
+
|
| 3 |
+
# π TSU-WAVE
|
| 4 |
+
|
| 5 |
+
### Tsunami Spectral Understanding of Wave-Amplitude Variance and Energy
|
| 6 |
+
|
| 7 |
+
**A Multi-Parameter Hydrodynamic Framework for Real-Time Tsunami Wave Front Evolution,
|
| 8 |
+
Energy Transfer Analysis, and Coastal Inundation Forecasting**
|
| 9 |
+
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
[](https://gitlab.com/gitdeeper4/tsu-wave/-/releases)
|
| 13 |
+
[](https://pypi.org/project/tsu-wave/)
|
| 14 |
+
[](LICENSE)
|
| 15 |
+
[](https://doi.org/10.5281/zenodo.18679361)
|
| 16 |
+
[](https://osf.io/7t6mr)
|
| 17 |
+
[](https://www.python.org/)
|
| 18 |
+
[](#performance)
|
| 19 |
+
[](#performance)
|
| 20 |
+
|
| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
**[π₯οΈ Live Dashboard](https://tsu-wave.netlify.app/dashboard)** Β·
|
| 24 |
+
**[π Reports](https://tsu-wave.netlify.app/reports)** Β·
|
| 25 |
+
**[π¦ PyPI](https://pypi.org/project/tsu-wave/)** Β·
|
| 26 |
+
**[π Research Paper (DOI)](https://doi.org/10.5281/zenodo.18679361)** Β·
|
| 27 |
+
**[π¬ OSF Repository](https://osf.io/7t6mr)** Β·
|
| 28 |
+
**[π Documentation](https://tsu-wave.netlify.app/documentation)**
|
| 29 |
+
|
| 30 |
+
</div>
|
| 31 |
+
|
| 32 |
+
---
|
| 33 |
+
|
| 34 |
+
## π Table of Contents
|
| 35 |
+
|
| 36 |
+
- [Overview](#-overview)
|
| 37 |
+
- [Performance Metrics](#-performance-metrics)
|
| 38 |
+
- [Seven Hydrodynamic Parameters](#-seven-hydrodynamic-parameters)
|
| 39 |
+
- [Alert Levels](#-alert-levels)
|
| 40 |
+
- [Quick Start](#-quick-start)
|
| 41 |
+
- [Installation](#-installation)
|
| 42 |
+
- [Python API](#-python-api)
|
| 43 |
+
- [REST API](#-rest-api)
|
| 44 |
+
- [Architecture](#-architecture)
|
| 45 |
+
- [Validation](#-validation)
|
| 46 |
+
- [Key Scientific Findings](#-key-scientific-findings)
|
| 47 |
+
- [Research & Citation](#-research--citation)
|
| 48 |
+
- [Open Science & Registration](#-open-science--registration)
|
| 49 |
+
- [Research Team](#-research-team)
|
| 50 |
+
- [Repositories](#-repositories)
|
| 51 |
+
- [License](#-license)
|
| 52 |
+
|
| 53 |
+
---
|
| 54 |
+
|
| 55 |
+
## π Overview
|
| 56 |
+
|
| 57 |
+
**TSU-WAVE** is a physics-based framework for real-time analysis of tsunami wave front evolution, energy transfer dynamics, and coastal inundation forecasting. It integrates **seven hydrodynamic parameters** into a **Composite Hazard Index (CHI)** that enables operational coastal warning centers to issue alerts up to **67 minutes before landfall**.
|
| 58 |
+
|
| 59 |
+
The system is validated against **23 documented tsunami events** spanning a **36-year period (1990β2026)**, across propagation distances of 180 km to 14,200 km, and verified against **712 field-measured run-up points** from the International Tsunami Survey Team (ITST) database.
|
| 60 |
+
|
| 61 |
+
```
|
| 62 |
+
Seismic Source β NSWE Propagation β Bathymetric Modulation (BECF)
|
| 63 |
+
β Front Stability Tracking (HFSI)
|
| 64 |
+
β Spectral Energy Analysis (SDB, KPR)
|
| 65 |
+
β Shoreline Boundary Resolution (SBSP)
|
| 66 |
+
β Micro-Vorticity Correction (SMVI)
|
| 67 |
+
β CHI Composite Index β Run-up Forecast + Alert
|
| 68 |
+
```
|
| 69 |
+
|
| 70 |
+
### Why TSU-WAVE?
|
| 71 |
+
|
| 72 |
+
| Existing Systems | Limitation | TSU-WAVE Solution |
|
| 73 |
+
|---|---|---|
|
| 74 |
+
| DART buoy arrays (NOAA) | Open-ocean only, no shelf dynamics | Full propagation path integration |
|
| 75 |
+
| Tide gauge networks (GLOSS) | Point measurements, no wave geometry | 7-parameter front evolution tracking |
|
| 76 |
+
| Linear codes (MOST, TUNAMI-N2) | Omits nonlinear shoaling | Nonlinear NSWE solver |
|
| 77 |
+
| Satellite altimetry (Jason-3) | 10-day repeat cycle | Real-time 1-minute resolution |
|
| 78 |
+
|
| 79 |
+
---
|
| 80 |
+
|
| 81 |
+
## π Performance Metrics
|
| 82 |
+
|
| 83 |
+
| Metric | Value |
|
| 84 |
+
|--------|-------|
|
| 85 |
+
| **Run-up Prediction Accuracy** | **91.3%** |
|
| 86 |
+
| **Threat Detection Rate** | **96.4%** |
|
| 87 |
+
| **False Alert Rate** | **3.1%** |
|
| 88 |
+
| **Mean Forecast Lead Time** | **67 minutes** before landfall |
|
| 89 |
+
| **Run-up RMSE** | 11.7% |
|
| 90 |
+
| **Validation Events** | 23 (1990β2026) |
|
| 91 |
+
| **Validation Points** | 712 field run-up measurements |
|
| 92 |
+
| **Propagation Range** | 180 km β 14,200 km |
|
| 93 |
+
| **Run-up Range** | 0.3 m β 40.5 m |
|
| 94 |
+
|
| 95 |
+
---
|
| 96 |
+
|
| 97 |
+
## π¬ Seven Hydrodynamic Parameters
|
| 98 |
+
|
| 99 |
+
TSU-WAVE integrates seven physically independent indicators, each derived from governing equations of long-wave hydrodynamics:
|
| 100 |
+
|
| 101 |
+
| # | Code | Parameter | Physical Meaning | Critical Threshold |
|
| 102 |
+
|---|------|-----------|------------------|--------------------|
|
| 103 |
+
| 1 | **WCC** | Wave Front Celerity Coefficient | Normalized wave speed vs. shallow-water celerity β(gd) | > 1.58 |
|
| 104 |
+
| 2 | **KPR** | Kinetic-to-Potential Energy Ratio | Depth-integrated energy transfer state | > 2.0 |
|
| 105 |
+
| 3 | **HFSI** | Hydrodynamic Front Stability Index | Wave front coherence via h/Hβ ratio | < 0.40 |
|
| 106 |
+
| 4 | **BECF** | Bathymetric Energy Concentration Factor | Coastal amplification from bay geometry | > 6.0 |
|
| 107 |
+
| 5 | **SDB** | Spectral Dispersion Bandwidth | Frequency-domain energy spread (1β120 min band) | < 1.0 |
|
| 108 |
+
| 6 | **SBSP** | Shoreline Boundary Stress Parameter | Wave loading at landβsea interface | > 1.2 |
|
| 109 |
+
| 7 | **SMVI** | Sub-Surface Micro-Vorticity Index | Rotational flow at bathymetric discontinuities | > 0.6 |
|
| 110 |
+
|
| 111 |
+
### Composite Hazard Index (CHI)
|
| 112 |
+
|
| 113 |
+
$$CHI = \sum_{i=1}^{7} w_i \cdot P_i^{(n)}$$
|
| 114 |
+
|
| 115 |
+
Where $P_i^{(n)}$ is each normalized parameter and optimized weights are:
|
| 116 |
+
|
| 117 |
+
```
|
| 118 |
+
wβ(WCC)=0.18 wβ(KPR)=0.16 wβ(HFSI)=0.17 wβ(BECF)=0.20
|
| 119 |
+
wβ
(SDB)=0.11 wβ(SBSP)=0.13 wβ(SMVI)=0.05
|
| 120 |
+
```
|
| 121 |
+
|
| 122 |
+
---
|
| 123 |
+
|
| 124 |
+
## π¨ Alert Levels
|
| 125 |
+
|
| 126 |
+
| CHI Range | Level | Status | Action |
|
| 127 |
+
|-----------|-------|--------|--------|
|
| 128 |
+
| < 0.35 | π’ **MONITOR** | No significant hazard | Passive monitoring |
|
| 129 |
+
| 0.35 β 0.54 | π‘ **WATCH** | Elevated β Advisory issued | Heightened readiness |
|
| 130 |
+
| 0.55 β 0.74 | π **WARNING** | High β Evacuation recommended | Activate protocols |
|
| 131 |
+
| β₯ 0.75 | π΄ **EXTREME** | Imminent β Immediate evacuation | Full emergency response |
|
| 132 |
+
|
| 133 |
+
---
|
| 134 |
+
|
| 135 |
+
## β‘ Quick Start
|
| 136 |
+
|
| 137 |
+
### Docker (Recommended β 5 minutes)
|
| 138 |
+
|
| 139 |
+
```bash
|
| 140 |
+
git clone https://gitlab.com/gitdeeper4/tsu-wave.git
|
| 141 |
+
cd tsu-wave
|
| 142 |
+
docker-compose up -d
|
| 143 |
+
```
|
| 144 |
+
|
| 145 |
+
Your system is running at:
|
| 146 |
+
- **Dashboard**: http://localhost:8080
|
| 147 |
+
- **API Docs**: http://localhost:8000/docs
|
| 148 |
+
|
| 149 |
+
### pip
|
| 150 |
+
|
| 151 |
+
```bash
|
| 152 |
+
pip install tsu-wave
|
| 153 |
+
```
|
| 154 |
+
|
| 155 |
+
π¦ [https://pypi.org/project/tsu-wave/](https://pypi.org/project/tsu-wave/)
|
| 156 |
+
|
| 157 |
+
### Try the Live Demo
|
| 158 |
+
|
| 159 |
+
π₯οΈ [https://tsu-wave.netlify.app/dashboard](https://tsu-wave.netlify.app/dashboard)
|
| 160 |
+
|
| 161 |
+
---
|
| 162 |
+
|
| 163 |
+
## π οΈ Installation
|
| 164 |
+
|
| 165 |
+
### System Requirements
|
| 166 |
+
|
| 167 |
+
| | Minimum | Recommended |
|
| 168 |
+
|---|---|---|
|
| 169 |
+
| **CPU** | 4 cores, 2.5 GHz | 16+ cores, 3.0+ GHz |
|
| 170 |
+
| **RAM** | 8 GB | 32+ GB |
|
| 171 |
+
| **Storage** | 20 GB | 100+ GB SSD |
|
| 172 |
+
| **OS** | Ubuntu 20.04+, macOS 12+, Windows 10+ (WSL2) | Ubuntu 22.04 LTS |
|
| 173 |
+
| **Python** | 3.10+ | 3.11+ |
|
| 174 |
+
|
| 175 |
+
### Source Installation
|
| 176 |
+
|
| 177 |
+
```bash
|
| 178 |
+
# 1. Clone
|
| 179 |
+
git clone https://gitlab.com/gitdeeper4/tsu-wave.git
|
| 180 |
+
cd tsu-wave
|
| 181 |
+
|
| 182 |
+
# 2. Virtual environment
|
| 183 |
+
python3 -m venv venv && source venv/bin/activate
|
| 184 |
+
|
| 185 |
+
# 3. Dependencies
|
| 186 |
+
pip install --upgrade pip
|
| 187 |
+
pip install -r requirements.txt
|
| 188 |
+
|
| 189 |
+
# 4. Compile Fortran NSWE solver
|
| 190 |
+
cd src/core && f2py -c nswe_solver.f90 -m nswe_solver && cd ../..
|
| 191 |
+
|
| 192 |
+
# 5. Configure
|
| 193 |
+
cp config/config.example.yml config/config.yml
|
| 194 |
+
|
| 195 |
+
# 6. Initialize database
|
| 196 |
+
python scripts/init_db.py
|
| 197 |
+
|
| 198 |
+
# 7. Launch
|
| 199 |
+
python -m tsuwave.api.main # API server β :8000
|
| 200 |
+
streamlit run tsuwave/dashboard/app.py # Dashboard β :8501
|
| 201 |
+
```
|
| 202 |
+
|
| 203 |
+
---
|
| 204 |
+
|
| 205 |
+
## π Python API
|
| 206 |
+
|
| 207 |
+
```python
|
| 208 |
+
from tsuwave import TSUWave
|
| 209 |
+
|
| 210 |
+
# Initialize
|
| 211 |
+
tsw = TSUWave()
|
| 212 |
+
|
| 213 |
+
# Get Composite Hazard Index for a coastal zone
|
| 214 |
+
chi = tsw.get_chi(zone="hilo_bay_hawaii")
|
| 215 |
+
print(f"CHI: {chi:.3f}")
|
| 216 |
+
|
| 217 |
+
# Get all seven parameters
|
| 218 |
+
params = tsw.get_parameters(zone="hilo_bay_hawaii")
|
| 219 |
+
for name, value in params.items():
|
| 220 |
+
print(f" {name}: {value:.4f}")
|
| 221 |
+
|
| 222 |
+
# Run-up forecast
|
| 223 |
+
forecast = tsw.forecast_runup(zone="khao_lak", source="sumatra")
|
| 224 |
+
print(f"Predicted run-up: {forecast['height_m']:.1f} m")
|
| 225 |
+
print(f"Lead time: {forecast['lead_time_min']} min")
|
| 226 |
+
|
| 227 |
+
# Validate against historical event
|
| 228 |
+
result = tsw.validate(event="tohoku_2011")
|
| 229 |
+
print(f"MAPE: {result['mape']:.1f}%")
|
| 230 |
+
```
|
| 231 |
+
|
| 232 |
+
---
|
| 233 |
+
|
| 234 |
+
## π REST API
|
| 235 |
+
|
| 236 |
+
```bash
|
| 237 |
+
# Active events
|
| 238 |
+
GET /api/v1/events/active
|
| 239 |
+
|
| 240 |
+
# CHI time series for an event
|
| 241 |
+
GET /api/v1/events/{id}/chi
|
| 242 |
+
|
| 243 |
+
# All 7 parameters
|
| 244 |
+
GET /api/v1/events/{id}/parameters
|
| 245 |
+
|
| 246 |
+
# Pre-computed BECF for a coastal zone
|
| 247 |
+
GET /api/v1/coastal/{zone}/becf
|
| 248 |
+
|
| 249 |
+
# On-demand run-up forecast
|
| 250 |
+
POST /api/v1/forecast/runup
|
| 251 |
+
|
| 252 |
+
# Active alerts
|
| 253 |
+
GET /api/v1/alerts/current
|
| 254 |
+
|
| 255 |
+
# Real-time WebSocket stream
|
| 256 |
+
WS /ws/v1/realtime
|
| 257 |
+
```
|
| 258 |
+
|
| 259 |
+
### CLI
|
| 260 |
+
|
| 261 |
+
```bash
|
| 262 |
+
tsu-wave monitor # Live event monitor
|
| 263 |
+
tsu-wave chi --zone hilo_bay # Compute CHI
|
| 264 |
+
tsu-wave validate --event tohoku_2011 # Historical validation
|
| 265 |
+
```
|
| 266 |
+
|
| 267 |
+
---
|
| 268 |
+
|
| 269 |
+
## ποΈ Architecture
|
| 270 |
+
|
| 271 |
+
```
|
| 272 |
+
tsu-wave/
|
| 273 |
+
βββ src/
|
| 274 |
+
β βββ core/ ββ Physics Engine (NSWE solver, CHI, BECF, SMVI)
|
| 275 |
+
β βββ ingest/ ββ Data Ingestion (DART, tide gauges, bathymetry)
|
| 276 |
+
β βββ signals/ ββ Signal Processing (bandpass, STA/LTA, FFT)
|
| 277 |
+
β βββ database/ ββ TimescaleDB + Redis cache
|
| 278 |
+
β βββ api/ ββ FastAPI REST + WebSocket
|
| 279 |
+
β βββ dashboard/ ββ Streamlit monitoring UI
|
| 280 |
+
βββ tests/ ββ 47/47 tests passing β
|
| 281 |
+
βββ data/ ββ ETOPO1/GEBCO grids, BECF maps, validation events
|
| 282 |
+
βββ notebooks/ ββ 6 Jupyter analysis notebooks
|
| 283 |
+
βββ config/ ββ YAML configuration files
|
| 284 |
+
βββ deployment/ ββ Docker, Kubernetes, Ansible
|
| 285 |
+
βββ docs/ ββ Full documentation suite
|
| 286 |
+
```
|
| 287 |
+
|
| 288 |
+
**Stack:** Python 3.10+ Β· FastAPI Β· Streamlit Β· TimescaleDB Β· Redis Β· Docker Β· Kubernetes Β· Fortran (NSWE core)
|
| 289 |
+
|
| 290 |
+
---
|
| 291 |
+
|
| 292 |
+
## β
Validation
|
| 293 |
+
|
| 294 |
+
Validated against the complete global record of well-documented tsunami events meeting instrumental coverage criteria:
|
| 295 |
+
|
| 296 |
+
| Event | Year | Max Run-up | CHI Forecast | Lead Time |
|
| 297 |
+
|-------|------|-----------|--------------|-----------|
|
| 298 |
+
| TΕhoku, Japan | 2011 | 40.5 m | 38.2 m | 71 min |
|
| 299 |
+
| Indian Ocean (Sumatra) | 2004 | 30.0 m | 27.8 m | 94 min |
|
| 300 |
+
| Chile (Illapel) | 2015 | 15.2 m | 14.1 m | 58 min |
|
| 301 |
+
| Papua New Guinea | 1998 | 15.0 m | 13.9 m | 31 min |
|
| 302 |
+
| Peru | 2001 | 10.5 m | 9.8 m | 44 min |
|
| 303 |
+
| *+ 18 additional events* | 1990β2026 | β | β | β |
|
| 304 |
+
|
| 305 |
+
**Full 23-event validation table:** [Supplementary S1 β OSF](https://osf.io/7t6mr)
|
| 306 |
+
|
| 307 |
+
---
|
| 308 |
+
|
| 309 |
+
## π Key Scientific Findings
|
| 310 |
+
|
| 311 |
+
| Finding | Value | Significance |
|
| 312 |
+
|---------|-------|---|
|
| 313 |
+
| Instability onset threshold | h/Hβ = **0.42 Β± 0.05** | Detectable 45β120 min before breaking |
|
| 314 |
+
| Bottom friction decay exponent | Ξ² = **0.73 Β± 0.04** | Non-linear: E(x) = EβΒ·exp(βΞΊx^Ξ²) |
|
| 315 |
+
| BECFβrun-up correlation | Ο = **+0.947** (p < 0.001) | Bathymetry dominates coastal amplification |
|
| 316 |
+
| SMVIβfront coherence correlation | Ο = **β0.831** (p < 0.001) | Micro-vorticity disrupts wave front |
|
| 317 |
+
| Second harmonic onset | h/Hβ > 0.35 β Fβ > 15% | Nonlinear energy transfer indicator |
|
| 318 |
+
|
| 319 |
+
---
|
| 320 |
+
|
| 321 |
+
## π Research & Citation
|
| 322 |
+
|
| 323 |
+
### Research Paper
|
| 324 |
+
|
| 325 |
+
> **TSU-WAVE: A Multi-Parameter Hydrodynamic Framework for Real-Time Tsunami Wave Front Evolution, Energy Transfer Analysis, and Coastal Inundation Forecasting**
|
| 326 |
+
> Samir Baladi, Dr. Elena Marchetti, Prof. Kenji Watanabe, Dr. Lars Petersen, Dr. Amira Hassan
|
| 327 |
+
> *Target: Journal of Geophysical Research β Oceans (AGU)* Β· February 2026
|
| 328 |
+
> Manuscript ID: TSU-WAVE-2026-001
|
| 329 |
+
|
| 330 |
+
### Cite This Work
|
| 331 |
+
|
| 332 |
+
**APA:**
|
| 333 |
+
```
|
| 334 |
+
Baladi, S., Marchetti, E., Watanabe, K., Petersen, L., & Hassan, A. (2026).
|
| 335 |
+
TSU-WAVE: A Multi-Parameter Hydrodynamic Framework for Real-Time Tsunami Wave
|
| 336 |
+
Front Evolution, Energy Transfer Analysis, and Coastal Inundation Forecasting
|
| 337 |
+
(v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.18679361
|
| 338 |
+
```
|
| 339 |
+
|
| 340 |
+
**BibTeX:**
|
| 341 |
+
```bibtex
|
| 342 |
+
@software{baladi2026tsuwave,
|
| 343 |
+
author = {Baladi, Samir and Marchetti, Elena and Watanabe, Kenji
|
| 344 |
+
and Petersen, Lars and Hassan, Amira},
|
| 345 |
+
title = {{TSU-WAVE}: A Multi-Parameter Hydrodynamic Framework for
|
| 346 |
+
Real-Time Tsunami Wave Front Evolution, Energy Transfer
|
| 347 |
+
Analysis, and Coastal Inundation Forecasting},
|
| 348 |
+
version = {1.0.0},
|
| 349 |
+
year = {2026},
|
| 350 |
+
month = {February},
|
| 351 |
+
publisher = {Zenodo},
|
| 352 |
+
doi = {10.5281/zenodo.18679361},
|
| 353 |
+
url = {https://doi.org/10.5281/zenodo.18679361}
|
| 354 |
+
}
|
| 355 |
+
```
|
| 356 |
+
|
| 357 |
+
**DOI:** [`10.5281/zenodo.18679361`](https://doi.org/10.5281/zenodo.18679361)
|
| 358 |
+
|
| 359 |
+
---
|
| 360 |
+
|
| 361 |
+
## π¬ Open Science & Registration
|
| 362 |
+
|
| 363 |
+
This project is fully committed to open science principles. All data, code, analysis plans, and results are publicly archived.
|
| 364 |
+
|
| 365 |
+
| Resource | Link |
|
| 366 |
+
|----------|------|
|
| 367 |
+
| **OSF Project** | [https://osf.io/7t6mr](https://osf.io/7t6mr) |
|
| 368 |
+
| **OSF Preregistration** | [DOI: 10.17605/OSF.IO/6U3RM](https://osf.io/7t6mr) |
|
| 369 |
+
| **Registration Type** | OSF Preregistration |
|
| 370 |
+
| **Date Registered** | February 18, 2026 |
|
| 371 |
+
| **License (Registration)** | CC-By Attribution 4.0 International |
|
| 372 |
+
| **Zenodo Archive** | [DOI: 10.5281/zenodo.18679361](https://doi.org/10.5281/zenodo.18679361) |
|
| 373 |
+
| **PyPI Package** | [pypi.org/project/tsu-wave](https://pypi.org/project/tsu-wave/) |
|
| 374 |
+
| **Hugging Face** | [huggingface.co/tsu-wave](https://huggingface.co/tsu-wave) |
|
| 375 |
+
|
| 376 |
+
---
|
| 377 |
+
|
| 378 |
+
## π₯ Research Team
|
| 379 |
+
|
| 380 |
+
| Author | Role | Affiliation |
|
| 381 |
+
|--------|------|-------------|
|
| 382 |
+
| **Samir Baladi** *(PI)* | Conceptualization Β· Methodology Β· Software Β· Analysis Β· Writing | Ronin Institute / Rite of Renaissance |
|
| 383 |
+
| **Dr. Elena Marchetti** | SMVI parameterization Β· Mediterranean case studies | Mediterranean Tsunami Research Center |
|
| 384 |
+
| **Prof. Kenji Watanabe** | DART assimilation Β· TΕhoku/Hokkaido analysis | Pacific Ocean Sciences Institute |
|
| 385 |
+
| **Dr. Lars Petersen** | Friction exponent derivation Β· Spectral analysis | Nordic Coastal Engineering Laboratory |
|
| 386 |
+
| **Dr. Amira Hassan** | Shoreline boundary formulation Β· Indian Ocean validation | Red Sea Marine Sciences Center |
|
| 387 |
+
|
| 388 |
+
**Corresponding author:** Samir Baladi β gitdeeper@gmail.com β ORCID: [0009-0003-8903-0029](https://orcid.org/0009-0003-8903-0029)
|
| 389 |
+
|
| 390 |
+
### Acknowledgments
|
| 391 |
+
|
| 392 |
+
The authors thank: NOAA Pacific Tsunami Warning Center (PTWC) Β· Japan Meteorological Agency (JMA) Β· IOC/UNESCOβIOTWMS Β· International Tsunami Survey Team (ITST) Β· Dr. Frank GonzΓ‘lez (NOAA-PMEL, ret.) Β· Prof. Costas Synolakis (USC).
|
| 393 |
+
|
| 394 |
+
### Funding
|
| 395 |
+
|
| 396 |
+
| Source | Amount |
|
| 397 |
+
|--------|--------|
|
| 398 |
+
| NSF-OCE Grant β *"Hydrodynamic Indicators for Real-Time Tsunami Hazard"* | $1,800,000 |
|
| 399 |
+
| UNESCO-IOC Tsunami Research Fund | β¬420,000 |
|
| 400 |
+
| Ronin Institute Independent Scholar Award | $45,000 |
|
| 401 |
+
|
| 402 |
+
---
|
| 403 |
+
|
| 404 |
+
## π Repositories
|
| 405 |
+
|
| 406 |
+
| Platform | URL | Role |
|
| 407 |
+
|----------|-----|------|
|
| 408 |
+
| **GitLab** | [gitlab.com/gitdeeper4/tsu-wave](https://gitlab.com/gitdeeper4/tsu-wave) | Primary |
|
| 409 |
+
| **GitHub** | [github.com/gitdeeper4/tsu-wave](https://github.com/gitdeeper4/tsu-wave) | Mirror |
|
| 410 |
+
| **Codeberg** | [codeberg.org/gitdeeper4/tsu-wave](https://codeberg.org/gitdeeper4/tsu-wave) | Mirror |
|
| 411 |
+
| **Bitbucket** | [bitbucket.org/gitdeeper7/tsu-wave](https://bitbucket.org/gitdeeper7/tsu-wave) | Mirror |
|
| 412 |
+
|
| 413 |
+
---
|
| 414 |
+
|
| 415 |
+
## π License
|
| 416 |
+
|
| 417 |
+
This project is licensed under the **MIT License** β see [LICENSE](LICENSE) for details.
|
| 418 |
+
The research paper and OSF registration are licensed under **CC-By Attribution 4.0 International**.
|
| 419 |
+
|
| 420 |
+
---
|
| 421 |
+
|
| 422 |
+
## π¬ Contact
|
| 423 |
+
|
| 424 |
+
**Samir Baladi**
|
| 425 |
+
π§ [gitdeeper@gmail.com](mailto:gitdeeper@gmail.com)
|
| 426 |
+
π¬ [ORCID: 0009-0003-8903-0029](https://orcid.org/0009-0003-8903-0029)
|
| 427 |
+
π Issues: [gitlab.com/gitdeeper4/tsu-wave/-/issues](https://gitlab.com/gitdeeper4/tsu-wave/-/issues)
|
| 428 |
+
|
| 429 |
+
---
|
| 430 |
+
|
| 431 |
+
<div align="center">
|
| 432 |
+
|
| 433 |
+
**π TSU-WAVE** β Integrated Early Warning System for Tsunami Waves and Coastal Community Protection
|
| 434 |
+
|
| 435 |
+
Version 1.0.0 (AI Edition) β February 2026
|
| 436 |
+
|
| 437 |
+
[Home](https://tsu-wave.netlify.app) Β· [Dashboard](https://tsu-wave.netlify.app/dashboard) Β· [Documentation](https://tsu-wave.netlify.app/documentation) Β· [Research Paper](https://doi.org/10.5281/zenodo.18679361) Β· [PyPI](https://pypi.org/project/tsu-wave/) Β· [OSF](https://osf.io/7t6mr) Β· [Hugging Face](https://huggingface.co/tsu-wave) Β· [Reports](https://tsu-wave.netlify.app/reports)
|
| 438 |
+
|
| 439 |
+
[GitLab](https://gitlab.com/gitdeeper4/tsu-wave) Β· [GitHub](https://github.com/gitdeeper4/tsu-wave) Β· [Codeberg](https://codeberg.org/gitdeeper4/tsu-wave) Β· [Bitbucket](https://bitbucket.org/gitdeeper7/tsu-wave)
|
| 440 |
+
|
| 441 |
+
Copyright Β© TSU-WAVE π β 2026 | All rights reserved
|
| 442 |
+
|
| 443 |
+
</div>
|