Global Weather by Country (~55 nations)
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 ~55 countries across every continent (all G20 plus much of Europe, Asia, the Americas, Africa & Oceania), at each country's centroid, from NASA POWER. Keyed by ISO-2 country code so it joins the global-country-profile and the macro catalog 1:1 - the climate layer under global growth, energy and agriculture models.
- 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
- ~55 countries across every continent (US, CN, IN, BR, ZA, NG, EG, SG, AE, CL, NZ, …) 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, keyed by ISO-2 country code - joins global-country-profile
- Source: NASA POWER Project (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | ISO 3166-1 alpha-2 country code | 100.0% | 62 |
| 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% | 54,420 |
| 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("global-weather-by-country_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 62 zones
AE · AR · AT · AU · BD · BE · BR · CA · CH · CL · CN · CO · CZ · DE · DK · DZ · EC · EG · ES · ET · FI · FR · GB · GH · GR · HU · ID · IE · IL · IN · IR · IT · JP · KE · KR · KZ · MA · MX · MY · NG · NL · NO · NZ · PE · PH · PK · PL · PT · QA · RO · RU · SA · SE · SG · TH · TR · TW · TZ · UA · US · VN · ZA
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