Datasets:
Tasks:
Time Series Forecasting
Sub-tasks:
multivariate-time-series-forecasting
Size:
10K<n<100K
License:
datasets: | |
- met-office-uk-deterministic-zarr | |
tags: | |
- weather | |
- nwp | |
- met-office | |
- deterministic | |
- zarr | |
- climate | |
- solar | |
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 uploaded Zarr files as zip 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 **.zarr.zip archives** for efficient storage and transfer. | |
The subset focuses on specific variables and configurations, which are detailed below. 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 Zip 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 `.zarr.zip` archives. Each archive corresponds to a specific time interval, such as `2023-01-01-00.zarr.zip`. | |
### Subset Attributes | |
This dataset includes a subset of numerical weather prediction (NWP) variables, categorized as follows: | |
#### Accumulated Channels: | |
- **radiation_flux_in_shortwave_total_downward_at_surface**: Downward shortwave radiation flux at the surface (W/m²) | |
- **radiation_flux_in_longwave_downward_at_surface**: Downward longwave radiation flux at the surface (W/m²) | |
- **surface_roughness**: Surface roughness (m) (if available, otherwise null or computed) | |
- **radiation_flux_in_uv_downward_at_surface**: Downward UV radiation flux at the surface (W/m²) | |
#### General NWP Channels: | |
- **temperature_at_screen_level**: 2-meter temperature (°C) | |
- **radiation_flux_in_shortwave_total_downward_at_surface**: Downward shortwave radiation flux at the surface (W/m²) | |
- **radiation_flux_in_longwave_downward_at_surface**: Downward longwave radiation flux at the surface (W/m²) | |
- **cloud_amount_of_high_cloud**: High cloud cover (fraction or %) | |
- **cloud_amount_of_medium_cloud**: Medium cloud cover (fraction or %) | |
- **cloud_amount_of_low_cloud**: Low cloud cover (fraction or %) | |
- **cloud_amount_of_total_cloud**: Total cloud cover (fraction or %) | |
- **snow_depth_water_equivalent**: Snow depth equivalent water content (mm) | |
- **surface_roughness**: Surface roughness (m) (if available, otherwise null or computed) | |
- **radiation_flux_in_uv_downward_at_surface**: Downward UV radiation flux at the surface (W/m²) | |
- **wind_speed_at_10m**: 10-meter wind speed (m/s) | |
- **wind_direction_at_10m**: 10-meter wind direction (degrees) | |
This dataset provides essential meteorological variables for applications in weather prediction, climate modeling, and solar energy forecasting. | |