Datasets:
License:
license: cc-by-4.0 | |
tags: | |
- 3D | |
- Radar | |
- Prediction | |
# Dataset Card for 3D-NEXRAD | |
<!-- Provide a quick summary of the dataset. --> | |
3D gridded radar reflectivity data collected from the U.S.NEXRAD WSR-88D radar network. | |
## Dataset Description | |
<!-- Provide a longer summary of what this dataset is. --> | |
The **3D-NEXRDA** dataset comprises 3D radar observations of severe storm events across the United States, with each event captured at different geographic locations. | |
The dataset provides high-resolution insights into storm dynamics with high temporal and spatial resolution. | |
- **Temporal Coverage:** | |
- **Time Span:** 2022.01.01 - 2022.12.31 | |
- **Interval and Event Duration:** 25 frames for each sequence spanning a period of 125 minutes per event | |
**we are actively working to expand this dataset to cover the period from 2020 to 2022** | |
- **Spatial Dimensions:** | |
- **Horizontal Resolution:** 512 × 512 for Each observation frame | |
- **Vertical Resolution:** 28 levels, from 0.5 km to 7 km with 0.5 km intervals, and from 7 km to 22 km with 1 km intervals | |
- **Available Variables:** 7 radar variables: | |
- Radar Reflectivity | |
- Velocity Spectrum Width | |
- Azimuthal Shear of the Radial Velocity | |
- Radial Divergence of the Radial Velocity | |
- Differential Radar Reflectivity | |
- Specific Differential Phase | |
- Copolar Correlation Coefficient | |
- **Data Source:** | |
This dataset was re-collected, collated and pre-processed from: | |
GridRad-Severe - Three-Dimensional Gridded NEXRAD WSR-88D Radar Data for Severe Events. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Dataset. https://doi.org/10.5065/2B46-1A97. Accessed† 26 Nov 2024. | |
- **License:** cc-by-4.0 | |
## Uses | |
#### Download and extract | |
``` | |
cat nexrad-[YYYY].tar.gz.* | tar -zxv - -C [your_dataset_dir]/ | |
``` | |
## Citation | |
``` | |
@inproceedings{ | |
anonymous2024highdynamic, | |
title={High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation}, | |
author={Anonymous}, | |
booktitle={Submitted to The Thirteenth International Conference on Learning Representations}, | |
year={2024}, | |
url={https://openreview.net/forum?id=Cjz9Xhm7sI}, | |
note={under review} | |
} | |
``` |