Weather of Things (WoT): How things can predict floods

Source(s): ClimaCell

ClimaCell launches a new flood alert system covering 500 million people across Asia, South America, Europe, and Africa

ClimaCell, a weather technology company, announced today, March 7th 2019, the deployment of new global flood prediction models and global flooding hazard alerts.

ClimaCell's proprietary meteorological model leverages a network of 500 million virtual sensors to fuel a cutting-edge Hydro-Meteorological platform that accurately predicts when floods will strike, even if they're flash floods. Solutions are deployed in megacities and cover 500 million lives across Asia, South America, Africa, and Europe.

These forecasts are available for consumption in the ClimaCell API or as a stream of location-specific alerts.

Worldwide, floods are the deadliest of all weather-related natural disasters. They are also the most common and are increasingly widespread due to global warming. Beyond their lethality, floods and inundations can cause major traffic interruptions, from local delays to completely immobilized regions. They disrupt trade at all levels of the economy. Flash floods account for 85% of flooding events and are the most destructive and deadly.

Floods often strike by surprise, with deadly consequences. That's because traditional flood forecasting relies on river level or rainwater accumulation observation, especially in the developing world. Additionally, limited meteorological and hydrological monitoring infrastructure exists to feed forecasting models due to decades of underinvestment in traditional sensors like radar and weather stations.

More information about ClimaCell Flood Forecasting products:

1. Global Urban Flooding Forecast (CGUFF)

  • Sends alerts 24 hours before a possible flood event
  • Uses by-the-minute precipitation forecasting for the most accurate results

2. Global Flooding Forecast (CGFF)

  • Provides river discharge and flash flood alerts
  • Uses a time/space basin scale for improved accuracy
  • Provides superior data using a network of virtual sensors and improved short-term forecasting

3. ClimaCell Seasonal Extreme Weather Forecast (CSEWF)

  • Estimates future events through impactful data readings
  • Predicts the future likelihood of changes in typical seasonal weather
  • Allows for better water, energy, and agriculture resource management

4. ClimaCell Sub-Seasonal Extreme Weather Forecast (CSSEWF)

  • Aims to estimate the changes in the likelihood of a weather event happening within a given week to a month

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