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---
datasets:
- met-office-uk-deterministic-zarr
tags:
- weather
- nwp
- met-office
- deterministic
- zarr
- climate
license: cc-by-4.0
annotations_creators:
- expert-generated
language_creators:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- time-series-forecasting
task_ids:
- multivariate-time-series-forecasting
configs:
- config_name: met-office-uk-deterministic-zarr
name: met-office-uk-deterministic-zarr
splits: []
description: This dataset contains Zarr files uploaded as TAR archives.
---
![CC-BY-4.0](https://img.shields.io/badge/license-CC--BY--4.0-blue)
# Met Office UK Deterministic Dataset (Zarr Format)
## Description
This dataset is a **subset** of the [Met Office UK Deterministic Dataset](https://registry.opendata.aws/met-office-uk-deterministic/), converted from the original **NetCDF format** into **Zarr format** for modern data analysis. The Zarr files are packaged as **tar archives** for efficient storage and transfer.
The subset focuses on specific variables and configurations, which are detailed in the `met_office_uk_data_config.yaml` file included in this repository. Researchers and developers can use this subset for applications in climate science, weather forecasting, and renewable energy modeling.
## Usage
This dataset is provided under the **Creative Commons Attribution 4.0 International License (CC-BY-4.0)**. When using this dataset, you must provide proper attribution to the Met Office as outlined below.
## Attribution
This dataset is derived from the [Met Office UK Deterministic Dataset](https://registry.opendata.aws/met-office-uk-deterministic/), which is British Crown copyright and provided by the Met Office under the terms of the [UK Open Government License (OGL)](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/).
- **Original Source**: [Met Office UK Deterministic Dataset on AWS](https://registry.opendata.aws/met-office-uk-deterministic/)
- **Copyright**: British Crown copyright © Met Office
## Details
### Zarr Format and Tar Archives
- **Format**: The dataset files are in Zarr format, a modern storage format optimized for analytics and machine learning workflows.
- **Packaging**: Zarr files are stored as `.tar.gz` archives. Each archive corresponds to a specific time interval, such as `2022-12-01-00.tar.gz`.
### Subset Configuration
- The dataset includes a subset of variables and configurations chosen for targeted use cases.
- For details on the variables and configurations included in this dataset, please refer to the [`met_office_uk_data_config.yaml`](./met_office_uk_data_config.yaml) file.
## How to Access
You can download and extract the tar archives using the following Python snippet:
```python
import tarfile
# Example: Extracting a tar.gz archive
archive_path = "2022-12-01-00.tar.gz"
with tarfile.open(archive_path, "r:gz") as tar:
tar.extractall(path="extracted_zarr")
```