# icenet-ai/icenet architecture

> Architecture diagram of the GitHub repository icenet-ai/icenet, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-25). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/icenet-ai/icenet
- Repository: https://github.com/icenet-ai/icenet
- Video tour (about a minute): https://gitdiagram.com/icenet-ai/icenet/video

## Overview

IceNet is a Python library for sea-ice forecasting. Its principal workflow acquires climate and sea-ice inputs, processes them into model-ready datasets, trains a model, generates forecasts, and then supports forecast analysis and delivery. Separate capabilities include plotting, threshold detection, and uploading results to local or Azure destinations. The graph reflects documented commands and sampled code; some subsystem internals were not sampled, so uncertain connections are omitted.

Main entry points: [`icenet/data/interfaces`](https://github.com/icenet-ai/icenet/tree/main/icenet/data/interfaces) (Data interfaces), [`icenet/model/train.py`](https://github.com/icenet-ai/icenet/blob/main/icenet/model/train.py) (Model training), [`icenet/process/predict.py`](https://github.com/icenet-ai/icenet/blob/main/icenet/process/predict.py) (Forecast processing), [`icenet/data/process.py`](https://github.com/icenet-ai/icenet/blob/main/icenet/data/process.py) (Data processing)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_acquisition["Data acquisition"]
  node_interfaces["Data interfaces"]
  node_sic_download["Sea-ice download<br/>[osisaf.py]"]
  node_downloader["Download framework<br/>[downloader.py]"]
end

subgraph group_preparation["Data preparation"]
  node_processing["Data processing<br/>[process.py]"]
  node_processors["Variable processors"]
  node_masks["Sea-ice masks<br/>[mask.py]"]
  node_dataset["Dataset definition<br/>[dataset.py]"]
  node_loader["Dataset generation<br/>[loader.py]"]
  node_loaders["Data loaders"]
end

subgraph group_forecasting["Model forecasting"]
  node_training["Model training<br/>[train.py]"]
  node_models["Forecast models<br/>[models.py]"]
  node_prediction["Model prediction<br/>[predict.py]"]
end

subgraph group_outputs["Forecast outputs"]
  node_forecast_processing["Forecast processing<br/>[predict.py]"]
  node_forecast_tools["Forecast utilities<br/>[forecasts.py]"]
  node_uploads["Result uploads"]
  node_plotting["Forecast plotting"]
  node_metrics["Forecast metrics<br/>[forecast.py]"]
  node_threshold["Threshold detection<br/>[threshold.py]"]
  node_result_metrics["Result metrics<br/>[metrics.py]"]
end

node_user(("Operator"))
node_providers(("External data APIs"))

node_user -->|"requests data"| node_interfaces
node_user -->|"requests sea ice"| node_sic_download
node_interfaces -->|"uses framework"| node_downloader
node_interfaces -.->|"requests data"| node_providers
node_sic_download -->|"downloads data"| node_providers
node_user -->|"processes inputs"| node_processing
node_processors -->|"specializes processing"| node_processing
node_processing -->|"uses masks"| node_masks
node_user -->|"checks dataset"| node_dataset
node_user -->|"creates dataset"| node_loader
node_loader -->|"uses loaders"| node_loaders
node_user -->|"trains model"| node_training
node_training -->|"loads dataset"| node_dataset
node_training -->|"builds model"| node_models
node_user -->|"runs prediction"| node_prediction
node_user -->|"prepares forecast"| node_forecast_processing
node_user -->|"processes forecast"| node_forecast_tools
node_user -->|"uploads results"| node_uploads
node_user -->|"plots outputs"| node_plotting
node_user -->|"computes metrics"| node_metrics
node_user -->|"checks threshold"| node_threshold
node_user -->|"uses metrics"| node_result_metrics
node_forecast_processing -->|"writes forecast data"| node_plotting
node_forecast_processing -->|"writes forecast data"| node_threshold

click node_interfaces "https://github.com/icenet-ai/icenet/tree/main/icenet/data/interfaces"
click node_sic_download "https://github.com/icenet-ai/icenet/blob/main/icenet/data/sic/osisaf.py"
click node_downloader "https://github.com/icenet-ai/icenet/blob/main/icenet/data/interfaces/downloader.py"
click node_processing "https://github.com/icenet-ai/icenet/blob/main/icenet/data/process.py"
click node_processors "https://github.com/icenet-ai/icenet/tree/main/icenet/data/processors"
click node_masks "https://github.com/icenet-ai/icenet/blob/main/icenet/data/sic/mask.py"
click node_dataset "https://github.com/icenet-ai/icenet/blob/main/icenet/data/dataset.py"
click node_loader "https://github.com/icenet-ai/icenet/blob/main/icenet/data/loader.py"
click node_loaders "https://github.com/icenet-ai/icenet/tree/main/icenet/data/loaders"
click node_training "https://github.com/icenet-ai/icenet/blob/main/icenet/model/train.py"
click node_models "https://github.com/icenet-ai/icenet/blob/main/icenet/model/models.py"
click node_prediction "https://github.com/icenet-ai/icenet/blob/main/icenet/model/predict.py"
click node_forecast_processing "https://github.com/icenet-ai/icenet/blob/main/icenet/process/predict.py"
click node_forecast_tools "https://github.com/icenet-ai/icenet/blob/main/icenet/process/forecasts.py"
click node_uploads "https://github.com/icenet-ai/icenet/tree/main/icenet/process"
click node_plotting "https://github.com/icenet-ai/icenet/tree/main/icenet/plotting"
click node_metrics "https://github.com/icenet-ai/icenet/blob/main/icenet/plotting/forecast.py"
click node_threshold "https://github.com/icenet-ai/icenet/blob/main/icenet/results/threshold.py"
click node_result_metrics "https://github.com/icenet-ai/icenet/blob/main/icenet/results/metrics.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_interfaces,node_sic_download,node_downloader toneBlue
class node_processing,node_processors,node_masks,node_dataset,node_loader,node_loaders toneAmber
class node_training,node_models,node_prediction,node_providers toneMint
class node_forecast_processing,node_forecast_tools,node_uploads,node_plotting,node_metrics,node_threshold,node_result_metrics toneRose
class node_user toneIndigo
```

## Components

### Data acquisition

- [Data interfaces](https://github.com/icenet-ai/icenet/tree/main/icenet/data/interfaces): `icenet/data/interfaces`
- [Sea-ice download](https://github.com/icenet-ai/icenet/blob/main/icenet/data/sic/osisaf.py): `icenet/data/sic/osisaf.py`
- [Download framework](https://github.com/icenet-ai/icenet/blob/main/icenet/data/interfaces/downloader.py): `icenet/data/interfaces/downloader.py`

### Data preparation

- [Data processing](https://github.com/icenet-ai/icenet/blob/main/icenet/data/process.py): `icenet/data/process.py`
- [Variable processors](https://github.com/icenet-ai/icenet/tree/main/icenet/data/processors): `icenet/data/processors`
- [Sea-ice masks](https://github.com/icenet-ai/icenet/blob/main/icenet/data/sic/mask.py): `icenet/data/sic/mask.py`
- [Dataset definition](https://github.com/icenet-ai/icenet/blob/main/icenet/data/dataset.py): `icenet/data/dataset.py`
- [Dataset generation](https://github.com/icenet-ai/icenet/blob/main/icenet/data/loader.py): `icenet/data/loader.py`
- [Data loaders](https://github.com/icenet-ai/icenet/tree/main/icenet/data/loaders): `icenet/data/loaders`

### Model forecasting

- [Model training](https://github.com/icenet-ai/icenet/blob/main/icenet/model/train.py): `icenet/model/train.py`
- [Forecast models](https://github.com/icenet-ai/icenet/blob/main/icenet/model/models.py): `icenet/model/models.py`
- [Model prediction](https://github.com/icenet-ai/icenet/blob/main/icenet/model/predict.py): `icenet/model/predict.py`

### Forecast outputs

- [Forecast processing](https://github.com/icenet-ai/icenet/blob/main/icenet/process/predict.py): `icenet/process/predict.py`
- [Forecast utilities](https://github.com/icenet-ai/icenet/blob/main/icenet/process/forecasts.py): `icenet/process/forecasts.py`
- [Result uploads](https://github.com/icenet-ai/icenet/tree/main/icenet/process): `icenet/process`
- [Forecast plotting](https://github.com/icenet-ai/icenet/tree/main/icenet/plotting): `icenet/plotting`
- [Forecast metrics](https://github.com/icenet-ai/icenet/blob/main/icenet/plotting/forecast.py): `icenet/plotting/forecast.py`
- [Threshold detection](https://github.com/icenet-ai/icenet/blob/main/icenet/results/threshold.py): `icenet/results/threshold.py`
- [Result metrics](https://github.com/icenet-ai/icenet/blob/main/icenet/results/metrics.py): `icenet/results/metrics.py`

### Other components

- **Operator**
- **External data APIs**

## Connections

- Operator → Data interfaces: requests data
- Operator → Sea-ice download: requests sea ice
- Data interfaces → Download framework: uses framework
- Data interfaces → External data APIs: requests data
- Sea-ice download → External data APIs: downloads data
- Operator → Data processing: processes inputs
- Variable processors → Data processing: specializes processing
- Data processing → Sea-ice masks: uses masks
- Operator → Dataset definition: checks dataset
- Operator → Dataset generation: creates dataset
- Dataset generation → Data loaders: uses loaders
- Operator → Model training: trains model
- Model training → Dataset definition: loads dataset
- Model training → Forecast models: builds model
- Operator → Model prediction: runs prediction
- Operator → Forecast processing: prepares forecast
- Operator → Forecast utilities: processes forecast
- Operator → Result uploads: uploads results
- Operator → Forecast plotting: plots outputs
- Operator → Forecast metrics: computes metrics
- Operator → Threshold detection: checks threshold
- Operator → Result metrics: uses metrics
- Forecast processing → Forecast plotting: writes forecast data
- Forecast processing → Threshold detection: writes forecast data