Microwave Sounder Satellite Data (Premium)

Overview

Microwave Sounder (TMS) Satellite Data provides advanced, all-weather atmospheric monitoring capabilities directly within the Tomorrow.io platform.

Unlike traditional satellite imagery, microwave-based observations can penetrate cloud cover, enabling consistent visibility into storm systems and atmospheric conditions-even during severe weather events.

This dataset is designed for advanced users, including meteorologists and space-weather professionals, who require deeper insight into atmospheric structure and storm dynamics.

Key Capabilities

• All-weather visibility, including through thick cloud cover
• Detection of precipitation and storm intensity, including heavy rain and thunderstorms
• Atmospheric analysis, including moisture distribution and vertical structure

Available Layers

The following advanced layers are available as part of the TMS dataset:

• Brightness Temperature (12 channels) – Multi-channel observations for analyzing atmospheric temperature and precipitation intensity
• Water Vapor – Atmospheric moisture distribution and movement
• Ice Water Path – Ice content in clouds, useful for identifying deep convection
• Liquid Water Path – Liquid water content in clouds for precipitation analysis
• Storm Top Height – Estimated vertical extent of storm systems
• Satellite Precipitation Rate – Satellite-derived precipitation intensity
• Temperature Profiles – Vertical temperature structure of the atmosphere
• Humidity Profiles – Vertical distribution of atmospheric moisture
• Window Channel (Composite View) – Combined satellite signal view for identifying precipitation areas and storm systems

Access & Availability

• Available as part of Tomorrow.io’s Level 2 Satellite Products
• Included as a part of Nextgen™ products
• Accessible directly within the platform via map layers

For more information, access, or enablement, please reach out to your Account Team or sales@tomorrow.io. 

Notes

Intended for advanced and expert workflows

Interpretation may require meteorological or domain expertise