Data · dataset · 2021
Continental United States Wind Speeds
Listed in CaltechDATA
The data was obtained from the National Renewable Energy Laboratory's (NREL's) Wind Integration National Database (WIND) Toolkit, with a focus on the continental United States.
Description
Wind velocity data is comprised of westward (ua) and southward (va) wind components, calculated from wind speeds and directions 100-km from Earth's surface. The WIND Toolkit has a spatial resolution of 2 km x 1 hr spatiotemporal resolution.
Our wind dataset contains data sampled at a 4-hourly temporal resolution for the years 2007 to 2013. The sample test dataset contains data sampled at a 4-hourly temporal resolution for 2014. We transform 2D data arrays of wind speed and direction into corresponding ua and va wind speed components.
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These are chipped into 100x100 patches. Low resolution imagery is obtained by sampling high resolution data at every fifth data point as instructed by NREL's guidelines. All data files are made available as PNGs in their respective LR or HR resolutions.
Links
Where it is published
- CaltechDATA record data.caltech.edu/records/grs4f-c9r41 ↗
landing page · from data caltech edu
- DOI doi.org/10.22002/d1.2126 ↗
DOI / persistent id · from data caltech edu
Catalogue records · 1
- InvenioRDM API data.caltech.edu/api/records/grs4f-c9r41 ↗
metadata API · from data caltech edu
Topics
- Stated by source
- image-processing · machine learning · wind speeds · WiSoSuper
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Image processing · Life Sciences · Machine learning · Social Science
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| CaltechDATA | grs4f-c9r41 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].anzsrc:field:460306 | mapping · data caltech edu | vocabulary-mapper@1.0.0 | keywords['image-processing'] |
| concepts[field].anzsrc:group:4611 | mapping · data caltech edu | vocabulary-mapper@1.0.0 | keywords['machine-learning'] |
| concepts[field].local:field:computer-science-ai | mapping · data caltech edu | vocabulary-mapper@1.0.0 | keywords['machine-learning'] |
| concepts[field].local:field:earth-environmental | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:engineering | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:humanities | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[field].local:field:social-science | mapping · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:image-processing | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:machine-learning | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:wind-speeds | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| concepts[topic].invenio_subject:data_caltech_edu:wisosuper | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| description | source · data caltech edu | connector:data_caltech_edu@1.0.0 | /metadata/description |
| publication_date | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| title | source · data caltech edu | connector:data_caltech_edu@1.0.0 | /metadata/title |
| updated_date | source · data caltech edu | connector:data_caltech_edu@1.0.0 | |
| version_label | source · data caltech edu | connector:data_caltech_edu@1.0.0 |