AtmosGrid — Planetary IntelligenceCOMMERCIAL PRODUCT
Solar panels and wind turbines across a desert plateau beneath moving clouds
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ENERGY WEATHER INTELLIGENCE

Weather inputs for a more responsive energy view.

Connect cloud, radiation, wind, temperature, and marine conditions to renewable-generation monitoring and energy operations products.

Illustrative industry imagery

THE OPERATIONAL QUESTION

How could changing weather affect generation and field work?

Weather layers provide important environmental inputs for energy teams and forecasting applications. Use them alongside plant telemetry, engineering models, and market data to understand changing conditions.

Map incoming solar radiation, cloud cover, temperature, and wind. Add precipitation and wave conditions when planning site access or offshore maintenance.

THE WORK, AND THE WEATHER BEHIND IT

Connect the operating
picture to the data.

Explore six sector-specific scenes showing where satellite observations and forecast layers can fit into real workflows. The imagery is illustrative; open a regional viewer for available products and metadata.

Energy team reviewing renewable assets in a control roomPORTFOLIO OPERATIONS

Connect weather to asset telemetry

Bring site footprints, forecast fields, and plant measurements together for a portfolio-level operating view.

Rows of solar panels following a desert landscapeSOLAR GENERATION

Put cloud and radiation in context

Compare forecast radiation and cloud conditions across solar sites alongside your production model.

Offshore wind farm across a moderately calm seaWIND OPERATIONS

Add regional wind conditions

Use forecast wind and gust fields as model inputs around onshore or offshore renewable assets.

Satellite viewing sunlight and cloud layers over renewable assetsSPACEBORNE DATA

See the larger atmospheric system

Geostationary imagery and numerical fields provide regional context for customer generation workflows.

Renewable energy technicians inspecting solar panelsMAINTENANCE WINDOWS

Plan access with weather context

Combine site locations with wind, rain, heat, or wave forecasts to compare candidate work windows.

Power transmission infrastructure crossing an arid landscape under changing cloudsGRID EXPOSURE

Monitor conditions across the network

Add weather context around transmission corridors and substations alongside operational telemetry.

All seven page images are illustrative—not live weather observations. Use the regional viewer to inspect available source data, timestamps, units, and legends.

A PURPOSEFUL LAYER STACK

Start with the conditions
that matter to your work.

Combine compatible fields to add context to your own tools. Source coverage, update cadence, and forecast horizon vary by region and product.

DATA LAYERSOURCEHOW TEAMS USE IT
01Downward shortwave radiationGFSProvide an atmospheric input for solar-generation models and resource dashboards.
02Cloud coverGFS · geostationary imageryTrack cloud movement and forecast cloudiness near generation sites.
03Wind speed & gustsGFSAdd wind context to renewable-output models and maintenance planning.
04TemperatureGFSMonitor ambient heat relevant to assets and energy-demand analysis.
05Wave height & periodGFS WaveReview sea-state conditions for offshore work planning.

Layer names describe data categories. A category may not be available as a processed layer in every region; check the regional viewer for current availability, timestamp, units, and legend.

WAYS TO PUT THE DATA TO WORK

From weather context
to a useful workflow.

Use the APIs and map-ready layers as building blocks inside a product designed for your users and operating procedures.

01

Solar portfolio monitoring

Compare radiation and cloud conditions across sites and time periods.

02

Wind operations

Overlay wind and gust fields with turbines and access infrastructure.

03

Maintenance windows

Bring forecast weather and wave context into planning for remote or offshore work.

EXAMPLE WORKFLOWS

What this can look like
inside a real product.

These scenarios show how teams might combine AtmosGrid data with their own assets, thresholds, and operational information.

EXAMPLE 01

Cloud-driven solar-output context

Scenario

An analyst compares several solar plants as a cloud band crosses the region.

Layer combination

Satellite cloud imagery + forecast cloud cover + downward shortwave radiation + air temperature.

In the application

A portfolio map and site timeline beside inverter telemetry, with weather and production timestamps aligned.

How it informs the work

Investigate weather-related production changes and compare sites; the customer’s validated generation model supplies the output estimate.

EXAMPLE 02

Offshore maintenance review

Scenario

A marine-energy operator is comparing candidate days for a planned offshore inspection.

Layer combination

Forecast wind and gusts + significant wave height and period + precipitation + satellite cloud context.

In the application

A route-and-site dashboard that presents each field against company-defined operating limits and vessel schedules.

How it informs the work

Identify candidate windows for review with marine forecasts and the operator’s approved safety procedures.

A PRACTICAL STARTING POINT

Build a view
your team can use.

  1. 01

    Add plant or asset locations to your application.

  2. 02

    Query the relevant forecast fields and imagery.

  3. 03

    Join weather context with plant telemetry and your production model.

EXPLORE ATMOSGRID

See the layers for yourself.

Open a regional map, inspect the metadata, and decide which products fit your workflow.

Explore regional energy layers ↗Talk about your use case ↗Browse all industries ↗