US Weather by Power
Daily weather across 15 parameters - air temperature (mean/max/min), wind speed (10 m + 50 m hub-height) + direction, cloud cover, solarirradiance, relative humidity, dew point, precipitation, surface pressure and soil moisture (surface, root-zone & profile wetness) - for the US power-market regions (ERCOT/Texas, CAISO/California, MISO, PJM, SPP, NYISO, ISO-NE, Southeast, Florida, Northwest, Southwest), at each region's centroid, from NASA POWER. The temperature and renewable-resource drivers US gas and power desks trade - heating & cooling demand, wind and solar output - keyed by grid region.
- Source
- NASA POWER
- Licence
- Redistributable open data
- Updates
- Daily
- Data through
- 2026-07-29
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- US power-market regions (ERCOT, CAISO, MISO, PJM, SPP, NYISO, ISO-NE, …) at centroids
- 15 parameters: air temperature (mean/max/min), wind speed (10 m + hub-height 50 m) + direction, solar irradiance, cloud cover, relative humidity, dew point, precipitation, surface pressure, soil moisture (surface/root-zone/profile)
- Daily, 2015→present - the drivers behind US load, wind and solar forecasts
- Source: NASA POWER Project (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | US power-market region code (ERCOT, CAISO, PJM, …) | 100.0% | 11 |
| ts | timestamp (UTC) | Day | 100.0% | 4,228 |
| metric | str | Air temperature (mean/max/min) / Wind speed / Solar irradiance / Relative humidity / Dew point / Precipitation / Surface pressure / Soil moisture (surface/root-zone/profile) | 100.0% | 15 |
| value | float | Value in the metric's native unit | 100.0% | 40,464 |
| unit | str | Unit | 100.0% | 8 |
| res_min | int | Native resolution (daily = 1440) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: NASA POWER (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-weather-by-region_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 11 zones
AZNM · CAISO · ERCOT · FLA · ISONE · MISO · NWPP · NYISO · PJM · SOCO · SPP
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