INFRAS-CLOUD ⚡ — Documentation

⚡ Overview

First unified framework for atmospheric acoustic monitoring

"The atmosphere is never silent — we just need to learn how to listen."

INFRAS-CLOUD is a physics-grounded eight-parameter framework for continuous, real-time acoustic monitoring of severe atmospheric phenomena through analysis of infrasonic wave fields in the frequency band 0.001–20 Hz. The atmosphere is not a passive void — it is a perpetually resonating acoustic cavity whose infrasonic emissions encode detailed, quantitative information about the genesis and evolution of severe weather systems, volcanic eruptions, large earthquakes, and ocean–atmosphere coupling processes.

93.1%

Accuracy

6-class event classification

12–28min

Lead Time

Tornado precursor warning

4,200km

Range

Cyclone detection

±7.8m/s

Wind Accuracy

Stratospheric profiling

47

Stations

IMS network

1,847

Events

Validated (2005-2025)

📄 Research Paper

JGR: Atmospheres (American Geophysical Union)

INFRAS-CLOUD Research Paper

Submitted to Journal of Geophysical Research: Atmospheres · March 11, 2026

Title: INFRAS-CLOUD: A Unified Eight-Parameter Atmospheric Infrasonic Severity Index for Global Severe Weather Classification
Author: Samir Baladi
Affiliation: Ronin Institute / Rite of Renaissance
DOI: 10.5281/zenodo.18952438
License: MIT License
Status: Under review
Keywords: atmospheric infrasound, severe weather acoustics, microbaroms, stratospheric ducting, beamforming, wavelet transform, Helmholtz equation, tornado acoustics, tropical cyclone infrasound, volcanic explosion acoustics

📊 Key Results

Validation performance metrics

93.1%

AISI Accuracy

vs 67.3% single-station

12–28min

Tornado Lead

+15min vs current systems

3.2%

False Positive

2.9× reduction

±7.8m/s

Wind Accuracy

r²=0.91 vs radiosonde

±147km

Storm Position

2.1× improvement

0.944

r² Volcanic

Energy estimation

🔬 Eight Parameters

Physical framework

Parameter	Symbol	Weight	Description
Microbarom Amplitude	P_ub	0.18	Ocean-atmosphere coupling energy
Stratospheric Ducting	D_str	0.14	Transoceanic wave propagation
Spectral Peak Freq	f_p	0.21	Highest weight — event-type discrimination
Azimuthal Arrival	θ	0.15	Source localization
Phase Velocity	v_ph	0.12	Stratospheric wind structure
Absorption Coeff	α_air	0.07	Thermodynamic profiling
Inter-station Coherence	γ²	0.08	Event validation
Signal-to-Noise Ratio	SNR	0.05	Source discrimination

📈 Atmospheric Infrasonic Severity Index

Composite index

// Atmospheric Infrasonic Severity Index // INFRAS-CLOUD Composite Formula AISI = 0.21 · f_p* // Spectral Peak Frequency + 0.18 · P_ub* // Microbarom Amplitude + 0.15 · θ* // Azimuthal Arrival Angle + 0.14 · D_str* // Stratospheric Ducting + 0.12 · v_ph* // Phase Velocity + 0.08 · γ²* // Inter-station Coherence + 0.07 · α_air* // Absorption Coefficient + 0.05 · SNR* // Signal-to-Noise Ratio // All parameters normalized to [0, 1] using 20-year reference dataset // f_p carries highest weight — spectral fingerprint as unique as DNA // Weights sum to 1.0 (PCA-derived from 1,847 events)

≥0.80

CRITICAL

Immediate meteorological alert

0.55-0.79

ELEVATED

Increased monitoring

<0.55

BACKGROUND

Routine monitoring

⚠️ AISI Thresholds

Three-level alert framework

Level	AISI Range	Description	Action
🟢 BACKGROUND	<0.55	Normal atmospheric activity	Routine monitoring
🟡 ELEVATED	0.55-0.79	Elevated atmospheric activity	Enhanced monitoring
🔴 CRITICAL	≥0.80	Active severe weather	Immediate meteorological alert

📦 Installation

Quick setup

# Install from PyPI pip install infrascloud # Clone repository git clone https://gitlab.com/gitdeeper9/infrascloud.git cd infrascloud # Install with pip pip install -r requirements.txt pip install -e . # Or using Docker docker-compose up -d # Verify installation python -c "import infras_core; print(infras_core.__version__)"

🔧 API Reference

Python interface

InfrasProcessor

Real-time wavelet spectral analysis engine

from infras_core import InfrasProcessor proc = InfrasProcessor.from_miniseed("IS42.mseed", fs=20.0) features = proc.extract_features( freq_band=(0.01, 10.0), window_sec=256, overlap=0.75 ) print(features['spectral_peak_freq'])

BeamFormer

Multi-station f-k beamforming engine

from infras_core import BeamFormer bf = BeamFormer( stations=["IS42_H1", "IS42_H2", "IS42_H3"], coords=station_coords ) theta, vph, coherence = bf.fk_analysis( waveforms, freq_band=(0.1, 2.0) ) print(f"θ={theta:.1f}°, v={vph:.1f} m/s, γ²={coherence:.2f}")

AIEventClassifier

Physics-informed neural network for 6-class event classification

from infras_core import AIEventClassifier clf = AIEventClassifier.load_pretrained() result = clf.predict(features) print(f"AISI: {result.aisi:.3f}") print(f"Event class: {result.event_class}") print(f"Alert level: {result.alert_level}")

AISI.compute()

Compute Atmospheric Infrasonic Severity Index from eight parameters

from infras_core import AISI, AISIParameters params = AISIParameters( P_ub=0.25, D_str=0.18, f_p=0.22, theta=162, v_ph=341, alpha_air=0.003, gamma2=0.81, SNR=22 ) aisi = AISI() result = aisi.compute(params) print(f"AISI = {result.value:.3f} ({result.alert_level})")

📍 Case Studies

Field validation

🌀 Irma 2017

Hurricane

9d precursor, AISI=0.94 peak

🌋 Hunga Tonga

2022

38±4 MT energy estimate

🌪️ 2011 Outbreak

Tornado

16.4 min mean lead time

🌊 Sandy 2012

Superstorm

7d precursor, microbarom tracking

🌋 Kilauea 2018

Volcano

11d harmonic tremor precursor

🌍 Gravity Waves

2020

First published field measurement

👤 Author

Principal investigator

⚡

Samir Baladi

Interdisciplinary AI Researcher — Atmospheric Infrasound Physics, Severe Weather Acoustics & Infrasonic Wave Propagation Modelling

Ronin Institute / Rite of Renaissance

Samir Baladi is an independent researcher affiliated with the Ronin Institute, developing the Rite of Renaissance interdisciplinary research program. INFRAS-CLOUD is part of a series of open‑source geophysical frameworks, following LITHO-SONIC (crustal stress) and HADEX (hadal zone exploration). The framework was validated against 47 IMS stations spanning 20 years (2005–2025) with 1,847 confirmed natural events.

No conflicts of interest declared.

📧 gitdeeper@gmail.com 🔗 ORCID: 0009-0003-8903-0029 🦊 GitLab 🐙 GitHub

📝 Citation

How to cite

@software{baladi2026infrascloud, author = {Baladi, Samir}, title = {INFRAS-CLOUD: Atmospheric Infrasound \& Severe Weather Acoustic Signatures}, year = {2026}, version = {1.0.0}, doi = {10.5281/zenodo.18952438}, url = {https://gitlab.com/gitdeeper9/infrascloud}, license = {MIT} }

"Atmospheric pressure waves below 20 Hz are not silence — they are a perpetually active planetary acoustic information system encoding severe weather genesis, volcanic unrest, and ocean storm evolution in real time. INFRAS-CLOUD makes it legible."

INFRAS-CLOUD