Atlas · Global weather & climate intelligence
The world's largest gap-free atmospheric data archive.
Seventy years of cleaned, quality-controlled weather and climate data across 200+ variables and 2.6 million grid cells. Accessible through API and MCP.
two ways to access
Many ways to query the world's weather.
Atlas is a pure data product. Drop the API directly into your analysis pipelines, scientific models, or BI stack, or let your AI agents query the climatology over MCP.
API
Query 200+ variables on 2.6M global grid cells from your notebook, model, or data warehouse. Model-ready columnar output.
atlas.atheniumanalytics.com/v3/hourlystation
MCP
Ask your AI agent for any variable, anywhere, at any time. Atlas streams the series back inline.
https://mcp.barocline.com/mcp
What Atlas gives you
Weather data your models can actually run on.
Atlas is the work that usually lives in a data team's backlog. Already done, versioned, and available the moment your team needs it.
Global, all of it
All countries, both polar regions, and every ocean basin. 2.6 million grid cells on a single coherent index.
70+ years, gap-free
Continuous coverage from 1950 to today. Bias-corrected and gap-filled with proprietary models, validated against in-situ stations.
200+ curated variables
Surface, soil, subsurface, atmosphere, oceans, cryosphere and severe-weather phenomena. Every variable on the same schema.
Gridded data and station data
Choose gridded global coverage or in-situ observations from 8,000+ stations worldwide. Same schema, same query.
Hyperlocal 1 km to 15 km grids
Granularities from 1 km (hyperlocal U.S. severe weather) to 15km globally. Pick the resolution that matches your needs.
Military- and intelligence-quality
Originally developed in collaboration with In-Q-Tel for the U.S. Intelligence Community. Deployed since across public and commercial missions.
One query, every variable
Built for analysts who would rather get results than wrangle.
Request any subset of the catalog for any cell, any time window, any cadence. Atlas returns columnar, model-ready data on the same coherent grid. No joins, no unit reconciliation, no fighting with the source archive.
Built for missions, not industries
One archive. Every domain that depends on the atmosphere.
Atlas was originally built for the U.S. Intelligence Community in collaboration with In-Q-Tel, then deployed across defense, energy, agriculture, maritime, climate research, and operational forecasting.
Defense & Intelligence
Mission planning over any geography
DoD, USAF, and intelligence community programs use Atlas for atmospheric conditions, target-area microclimate, and historical weather context anywhere in the world.
Energy & Utilities
Renewables siting and grid resilience
Solar irradiance, hub-height wind, and 70-year extreme statistics for siting and PPAs; surface temperature and soil moisture for transmission and substation risk.
Agriculture & Commodities
Yield models that hold up at audit
Daily soil moisture at depth, evapotranspiration, growing-degree days and frost dates, fed straight into agronomic models, futures research, and reinsurance triggers.
Maritime & Coastal
Routing, ports, and offshore operations
Sea-surface temperature, wave height, current vectors and sea-ice extent. Used by shipping lines, naval planners, and offshore wind operators.
Climate Research
Reproducible long-range analysis
Bias-corrected, gap-filled reanalysis on a single grid means studies stop fighting their data and start writing their conclusions.
Logistics & Aviation
Schedules that survive contact with weather
Visibility, ceiling, gust climatology, icing potential and convective activity. Hooked into ops planning and delay-cost models for fleets and airlines.
Atlas at a glance
Seventy years of weather, anywhere on Earth, in one query.
65 T+
Data points in the proprietary cloud archive
200+
Variables across atmosphere, surface, soil, oceans
70+yr
Continuous, gap-filled record · 1950 to present
5 B/day
New observations and gridded points ingested daily
Coverage specifications
Where Atlas reaches, and how finely
Geographic
196 countries · poles · oceans
Grid cells
2.6M global
Resolution
15 km → 1 km
Formats
CSV · JSON · XML
See Atlas on your portfolio.
30-minute working session: bring a sample of locations or a recent event, and
we'll run it live. No deck.