Fail-closed
A policy in which uncertainty, missing data or failed verification blocks the action rather than allowing it.
VONA
Volcano Observatory Notice for Aviation: an official volcano-observatory communication for aviation context.
Advection
Transport of a property or ideal parcel by a velocity field; here used as a simplified wind trajectory.
Haversine
A formula for great-circle distance between two geographic coordinates on a sphere.
Structural graph
An explicit node-and-edge network representing transmission hypotheses; it does not prove causality by itself.
Gaussian Mixture Model (GMM)
A probabilistic model representing data as a mixture of Gaussian distributions; here used for latent regimes.
Conformal prediction
A method that builds intervals from empirical out-of-sample residuals under stated assumptions.
Prequential selection
Model choice at each step using only evaluation outcomes already observed in the past.
Release lag
Delay between the period a datum refers to and the time it actually becomes available.
MAD
Median Absolute Deviation: the median absolute distance from the median, a robust dispersion measure.
Robust z-score
Standardisation based on robust statistics such as the median and MAD, reducing sensitivity to outliers.
Failure mode
A known way in which a system may fail, stop or produce a misleading result.
Ablation
A test that removes a source or variable to measure its contribution.
Calibration
Agreement between stated probabilities and observed frequencies over time.
Persistence
Storage of results, metadata and execution state.
Decision
The stage that determines whether to proceed, stop or publish an output.
Compute
The stage in which calculations, rules or models are executed.
Validation
The stage in which the system checks that data and conditions can be used.
Acquisition
The stage in which the system retrieves data or content from sources.
Trigger
An event or schedule that starts a workflow.
Offline test
A check performed with controlled data without relying on a live external source.
Log
A chronological record of system events, checks and errors.
Adapter
A component that transforms a specific source into a common format.
Target
The result a model seeks to estimate or classify.
Leakage
Unintended use of information that would not be available at forecast time.
Neural network
A layered model of numerical transformations used for complex relationships.
Time series
A sequence of observations ordered in time.
Clustering
A method that groups similar cases without predefined categories.
Regression
A method that estimates a numerical value from available variables.
Generative AI
Models that produce new text, images or other content from instructions and data.
Human oversight
Human control and responsibility where interpretation or decision is required.
Data quality check
A check of presence, freshness, format, consistency and missing values.
Anomaly
A value or behaviour different from what the system considers usual.
Classification
Assignment of a case to a predefined category.
Forecast
An estimate relating to a future time or an event not yet observed.
Model
A mathematical or logical relationship used to produce an estimate or classification.
Machine learning (ML)
Methods that learn relationships from examples or previous data.
Artificial intelligence (AI)
Methods enabling a system to classify, estimate, recognise or generate content.
Algorithm
A precise finite procedure that transforms inputs into a result.
Automation
Automatic execution of defined activities or calculations, including controls and exceptions where needed.
Workflow
A sequence of activities that software performs in a defined order to transform data into a result.
Lagrangian advection
A calculation that updates a point position over time by following a wind field.
Baseline
A simple reference used to assess the model’s added value.
DBSCAN
An algorithm that groups nearby points and leaves isolated ones apart.
Event-based forecast
An estimate run only after a defined source event occurs.
Feature
A variable supplied to a model.
FIRMS
NASA near-real-time service for thermal anomalies.
Hash-guard
A check that recognises identical or near-identical content to prevent duplicates.
MLP
A feed-forward neural network used to classify input configurations.
Quality gate
An automated check that allows, blocks or skips an output.
Directional shear
Difference in wind direction or speed between atmospheric levels.
Z-score
Distance from the mean measured in standard deviations.
AT Protocol
Decentralised protocol used by Bluesky to create records, upload blobs and manage identities.
Backfill
Controlled reconstruction of missing or previously unprocessed historical data.
Brier score
Mean squared error of a probabilistic forecast; lower values indicate better overall calibration.
Data lineage
Trace of sources and transformations that produced an output.
Graceful degradation
Use of a declared fallback or reduced output when a modality is unavailable.
Event-driven
A workflow triggered or made publishable by a defined event.
Idempotency
Property by which a retry does not create duplicate effects.
MLOps
Practices for versioning, testing, deploying and monitoring models and pipelines.
Point-in-time
A dataset using only information actually available at the simulated date.
Provenance
Metadata on sources, timestamps, version, configuration and artifacts.
RPA
Automation of repetitive activity coordinating sources, rules, files, reports and external systems.
TID / record key
A valid stable identifier used to create or update an AT Protocol record.
Walk-forward
Temporal evaluation in which training and test windows move forward without mixing future data.
Data drift
A change in the input distribution relative to the development period.
Hawkes process
A self-exciting temporal model: an event temporarily raises the probability of subsequent events; used here as an event-history baseline.
Modality gate
A selection rule that compares modalities and baselines across folds and chooses the best-calibrated probability source for a horizon.
Purged walk-forward
A temporal evaluation that advances through time while removing observations near boundaries to avoid train-test contamination.
Temporal embargo
An excluded interval between training and test that reduces leakage from overlapping episodes or features.
FRP
Fire Radiative Power: a satellite measure of thermal-anomaly radiative energy, used as a proxy with observation-coverage controls.
b-value
Parameter of the Gutenberg–Richter relationship between earthquake count and magnitude, estimated only with a sufficient sample.
EWM
Exponentially weighted moving average that gives more weight to recent observations and smooths an index over time.
Robust rescaling
A transformation that limits outlier influence, often using quantiles, median or interquartile range.
Ridge regression
Linear regression with an L2 penalty, useful for stabilising coefficients when features are correlated.
State machine
Explicit states and transitions governing system behaviour from thresholds, direction and confirming signals.
Communicable finding
A short publishable fact derived from an admitted source and expressed with original controlled wording.
Event cluster
A set of independent sources aligned enough to be treated as descriptions of the same signal.
Theme bundle
A comparison of sources on the same domain without claiming they describe the same event.
Independence group
A label that prevents the final post from using two sources considered too close or dependent.
Source policy registry
A domain registry containing reuse permissions, risk tier and the behaviour allowed in live publication.
Facts-only templating
A generation method in which the public text is built from controlled templates and communicable facts rather than free reuse of source prose.
5-gram overlap
A measure of shared five-word sequences between public text and sources, used as an anti-reuse gate.
Rich-text facet
AT Protocol metadata that makes a textual reference clickable inside the post, for example a source link.
Grapheme count
The count of user-perceived characters, used to keep a Bluesky post within length limits.
PDS / AppView
The PDS is the server that stores the AT Protocol record; AppView is the public view that exposes it in Bluesky interfaces.