Understanding our climate through data
Climate Explorer brings together global archives and national meteorological datasets in one place, so you can move from local station detail to cross-country climate comparisons without switching platforms.
Global Meteorological Observations
Access high-quality weather data covering every country in the world. This information is produced by National Meteorological Services under the recommendations of the World Meteorological Organization (WMO), ensuring standardized and reliable global observations.
EuroMeteo – European Data
MeteoGate / EUMETNET
Near real-time cross-border observations for Europe, built on MeteoGate's WIS 2.0 / E-SOH feed. Best for tracking active weather as it moves between national networks.
Explore EuroMeteoDWD – German Climate Data
Deutscher Wetterdienst OpenData
Germany's richest open station archive, from 10-minute observations to annual summaries. Ideal for local extremes, solar studies, and long station histories.
Explore DWDMétéo-France – French Data
French Meteorological Service
French station data with strong coverage for rainfall, wind, and rapid precipitation changes. Especially useful for Atlantic, Alpine, and Mediterranean weather regimes.
Explore Météo-FranceJMA – Japanese Data
Japan Meteorological Agency
High-frequency Japanese observations built for a country of typhoons, coastal winds, and steep terrain. Explore daily, hourly, and 10-minute records from the JMA network.
Explore JMAIMGW – Polish Data
Institute of Meteorology (IMGW-PIB)
Polish station observations spanning synoptic, climatological, and snow records. Useful for flood risk, winter conditions, and long-term regional comparisons.
Explore IMGWWMO Normals – 1991-2020
Climatological Standard Normals
Official 30-year climate benchmarks (1991-2020) for thousands of global stations. Essential for assessing current anomalies against a modern baseline.
Explore WMO NormalsGHCNh – Hourly Observations
Worldwide Meteorological Data
Global hourly station data for every country, suited to extremes, diurnal cycles, and sub-daily event analysis across more than 11,000 sites.
Explore GHCNhGHCNm – Monthly Summaries
Long-term Climate Records
Homogenized monthly station summaries for long-run climate work. Best for century-scale warming signals, precipitation shifts, and regional trend comparisons.
Explore GHCNmWhy We Built Climate Explorer
We built Climate Explorer to solve a practical problem: accessing high-resolution, station-level weather data is still far too difficult. While the warming climate is a global issue, the actual impacts hit locally. To track how heatwaves are intensifying in Germany or how rainfall patterns are shifting in France, you can't just rely on global averages. You need the raw data from the stations on the ground.
The issue is that National Meteorological Services usually publish their open data on separate platforms, using completely different formats and APIs. We decided to fix this by creating a unified portal. Instead of writing custom Python scripts to parse DWD datasets or figuring out the Météo-France API limits, researchers and journalists can use our interactive interfaces to get straight to the analysis.
Data Sources and Technical Approach
Our tools sit directly on top of official public infrastructure. For European weather, we connect to the WIS 2.0 (WMO Information System) and the EUMETNET E-SOH network. This means the EuroMeteo explorer shows the exact same observations being broadcasted by national weather services in near real-time. For long-term historical analysis, we pull directly from NOAA's Global Historical Climatology Network (GHCN), which tracks daily and monthly summaries from over 11,000 stations globally.
We don't modify or interpolate the raw meteorological values. What we do is handle the heavy lifting on the backend—extracting specific time-series from massive remote datasets and rendering the outputs quickly in the browser. You get the scientific integrity of the original data, but without the headache of managing the infrastructure.
Putting Weather in Context
When a heatwave hits, the first question is usually, "How abnormal is this?" To answer that, you need a baseline. That's why we heavily integrate the WMO Climatological Standard Normals (1991-2020) into our tools. It allows users to instantly compare today's temperature or rainfall against the expected 30-year average for that exact location.
Whether you're a data journalist writing about consecutive summer extremes, a student mapping urban heat islands, or just a weather enthusiast, Climate Explorer gives you the raw facts. Good climate analysis requires good data, and our goal is to make sure that data is accessible to anyone who needs it.
Latest Insights & Articles
Read in-depth case studies about using open meteorological datasets, understanding climate anomalies, and the policy changes driving global climate research.
What You Can Do
Track Historical Trends
Explore long-term changes in precipitation and temperature to identify regional and global climate patterns.
Analyze Current Conditions
Access up-to-date measurements to monitor current weather events and their potential impacts.
Investigate Climate Variability
Delve into the fluctuations and extremes of precipitation and temperature to better understand climate risks.
By providing easy access to essential climate data, we contribute to a greater understanding of our planet's climate system and support informed decision-making for a more sustainable future.