Close Menu
Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • January 2026
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn X (Twitter) Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. January 2026
    2. September 2025
    3. April 2025
    4. January 2025
    5. September 2024
    6. April 2024
    7. January 2024
    8. September 2023
    9. April 2023
    10. Archive Issues
    11. Subscribe Free!
    Featured
    November 27, 2025

    In this Issue – January 2026

    By Hazel KingNovember 27, 2025
    Recent

    In this Issue – January 2026

    November 27, 2025

    In this Issue – September 2025

    August 11, 2025

    In this Issue – April 2025

    April 15, 2025
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Early Warning Systems

Tomorrow.io launches flood risk analysis tool to help prepare for severe flooding events

Dan SymondsBy Dan SymondsSeptember 10, 20212 Mins Read
Share LinkedIn Facebook Twitter Email
The Flood Risk Index from Tomorrow.io
Share
LinkedIn Facebook Twitter Email

Boston-based weather intelligence platform Tomorrow.io has announced the launch of a new Flood Risk Index to help prepare for and make proactive decisions ahead of severe flooding.

Tomorrow.io uses a mix of publicly available and proprietary hydrologic models, combined with 40 years of historical analysis of runoff and streamflow, to identify the risk of river and urban flooding up to five days in advance anywhere in the world, even in areas without many hydrologic observations.

The index is updated daily around the globe at a spatial resolution of 5.5 miles (9km), and soon will be updated more frequently in the USA at a spatial resolution of 0.6 miles (1km). Validation testing of the index for recent flood events has shown increased skill and added value over existing flood prediction products.

Shimon Elkabetz, CEO and co-founder of Tomorrow.io, said, “We are living in an era of consequences where, unfortunately, the tragic loss of life and damage to property and infrastructure from flooding and other severe weather will only get worse if we don’t increase our resilience to these extreme events. Our company is tackling this challenge from two different but equally important angles. We are both improving the accuracy, detail and timeliness of weather forecasts, and we are transforming how forecasts are translated into proactive actions that can save lives, reduce damage, improve operations and limit financial loss.”

Determining the risk of flooding at any one location involves a complex combination of factors including rain intensity, rain accumulation, previous rainfall amount, streamflow conditions, land surface type and topography, and the vulnerability of local infrastructure.

Tomorrow.io’s Weather Intelligence Platform automates the monitoring of these factors and sends alerts to assigned personnel based on location-specific criteria, such as a particular rain intensity, rain accumulation or flood risk level. The platform also can translate anticipated flooding into weather intelligence alerts that recommend pre-programmed actions, such as scheduling crews to clear debris from sewers or preparing to send a citywide wireless flood alert.

To further improve the prediction of floods, hurricanes, droughts and other extreme weather, Tomorrow.io is launching a constellation of small satellites equipped with precipitation radar starting in late 2022. The operational constellation of approximately 32 satellites will for the first time provide global, high-resolution measurements of precipitation updated every hour, dramatically improving weather forecasts for the five billion people worldwide who currently live outside of traditional ground-based radar coverage.

Previous ArticleUCAR president hails “lasting legacy” of retiring NWS director Louis Uccellini
Next Article SpaceX wins contract to launch NOAA’s GOES-U weather satellites

Read Similar Stories

Space Weather

Northumbria University secures £4m to study Earth’s radiation belts

April 16, 20262 Mins Read
Extreme Weather

AI model improves real-time prediction of wildfire spread

April 16, 20263 Mins Read
Climate Measurement

Study identifies atmospheric trigger behind flash droughts in Puerto Rico

April 15, 20263 Mins Read
Latest News

Northumbria University secures £4m to study Earth’s radiation belts

April 16, 2026

AI model improves real-time prediction of wildfire spread

April 16, 2026

Study identifies atmospheric trigger behind flash droughts in Puerto Rico

April 15, 2026

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • Nel Hydrogen
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2026 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.