AtmosGrid — Planetary IntelligenceCOMMERCIAL PRODUCT
Large organized storm cloud system over open water at dawn
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SEVERE WEATHER CONTEXT

Follow evolving storms across satellite and model views.

Combine geostationary imagery, lightning observations, precipitation estimates, and forecasts for a richer view of developing weather systems.

Illustrative industry imagery

THE OPERATIONAL QUESTION

How is the storm system evolving, and where is it moving?

Build storm-monitoring interfaces that help teams observe cloud evolution and compare it with forecast conditions. These layers support situational awareness and are not a substitute for official warnings or emergency services.

Animate satellite imagery where available, inspect cloud-top temperature and lightning products, then compare rainfall estimates and forecast wind or precipitation fields.

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.

Weather analysts reviewing satellite and forecast data in an operations roomSITUATION ROOM

Keep observations and forecasts distinct

Review evolving imagery beside model guidance with source, timestamp, and forecast-valid time visible.

Satellite observing a convective storm system over the oceanSATELLITE VIEW

Watch the system evolve

Geostationary imagery helps teams follow cloud structures through time over the covered region.

Rain bands sweeping across a coastal landscape viewed from abovePRECIPITATION

Compare rainfall estimates

Use satellite precipitation estimates as event context and keep them distinct from forecasts and gauges.

Tall cumulonimbus cloud with a distant rain shaft near the GulfCONVECTION

Inspect cloud development

Cloud texture and infrared context help analysts understand the broader structure of a developing system.

Three-dimensional educational cross-section through a storm cloudATMOSPHERIC PROFILE

Explore the vertical structure

A cross-section can make cloud depth and precipitation processes easier to explain to operations teams.

Coastal weather station beneath a broken storm cloud deckREGIONAL RESPONSE

Bring local context into the loop

Compare satellite and forecast views with station observations and the geography your team manages.

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
01Visible & infrared satellite imageryMeteosat · INSAT · GOES by regionObserve cloud structures and their evolution through time.
02Water vapour imageryGeostationary satellite productsInspect mid- and upper-atmospheric moisture patterns.
03Lightning observationsGOES GLM where availableAdd observed lightning activity to convection monitoring.
04Precipitation estimatesGPM IMERGReview satellite-based precipitation estimates for event context.
05Forecast precipitation & windGFSCompare model guidance with current satellite observations.

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

Situation rooms

Present satellite animations, forecast layers, and event timelines in one shared view.

02

Operations monitoring

Watch weather near transport, utility, or outdoor-work locations using your own alert criteria.

03

Event review

Compare observed imagery and precipitation estimates with model forecasts after an event.

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

Convective activity watch

Scenario

A regional operations desk is monitoring a fast-changing storm near transport and utility assets.

Layer combination

Regional geostationary infrared imagery + water-vapour imagery + GOES GLM lightning where covered + forecast rain and wind.

In the application

A time-synchronized map with satellite loops, asset overlays, forecast valid times, and the organization’s own notification thresholds.

How it informs the work

Direct analysts to locations needing review and cross-check official warnings before operational action.

EXAMPLE 02

Post-event comparison

Scenario

A team wants to understand how a forecast rain event compared with the conditions observed afterward.

Layer combination

Saved forecast fields at their original issue and valid times + available satellite imagery + IMERG precipitation estimates.

In the application

An event timeline that keeps model guidance and satellite estimates visually distinct and records source and time metadata.

How it informs the work

Use the comparison to review the workflow and improve internal thresholds; satellite estimates are not a substitute for gauges or official reports.

A PRACTICAL STARTING POINT

Build a view
your team can use.

  1. 01

    Open the regional satellite viewer.

  2. 02

    Select imagery and forecast layers with matching timestamps.

  3. 03

    Use official warning products and local observations for action decisions.

EXPLORE ATMOSGRID

See the layers for yourself.

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

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