MAP Rain – Helping to monitor and predict flooding events

MAP Rain is our high performance, flexible and scalable cloud-based solution for rainfall and flood monitoring analytics.  MAP Rain delivers location specific rainfall analytics for any point and any area of interest. Uses machine learning to predict the impact rainfall has on assets

  • Monitor actual and predicted rainfall at any location and receive e-mail alerts for any high values

  • Calculate historic rainfall calculations i.e. Antecedent Precipitation Index API

  • Connect to the simple Flood Monitoring Dashboard directly from any monitored point

  • Apply simplified hydraulic models to any catchment to predict the impact that rainfall will have on that catchment

  • Create your own catchment polygon (s), or store existing ones, and access historic aggregated rainfall for that catchment

  • Calculate Rainfall Return Periods (FEH99, FEH2013 and Bilham) for any historic, or forecast, rain event

  • Combine real time radar and forecast rainfall into one dataset – so all calculations use both historic and forecast rainfall

  • Display river level and rain gauge data from Environment Agency gauging stations

  • Readily integrates with packages like R to carry out bespoke statistical analysis

  • Integrate data directly into your applications using the MAP API – used to build MAP Rain dashboard

  • Choose from a range of alerts and customise threshold values

  • Use machine learning to predict performance of assets in wet weather

User Case Studies

Leeds City Council – Storm Ciara

Aggregation of rainfall data

Identify dry weather discharges

Identify dry weather discharges in CSOs

Hyperlocal Rainfall – 5 minute predictions for the next hour

Hyperlocal rainfall predictions

MAP Rain demonstration page