waternumbers

committed to the management of risks from natural hazards using sustainable, innovative and tailored modelling and analytical solutions.

What We Do


waternumbers founder Paul Smith has over 15 years experience in the modelling, statistical analysis and forecasting of natural hazards as a consultant, academic and operational practitioner. He has led in the delivery of both research and consultancy projects working with national authorities, commercial entities and NGOs.

Contact Us


waternumbers
Halton Mill
Halton, LA2 6ND
P: +44 7514721166
E: contact@waternumbers.co.uk

Example Work


ANYWHERE
anywhere Logo

waternumbers in partnership with RAB consulting and Rivertrack to demonstrate the benefits of local data and tailored forecasts to communities experiencing flood risk. The Flood Forcasting Toolbox allows the development of flood forecasting models based on Data Based Mechanistic methods.

Calibrated Meteograms
ECMWF Meteogram

waternumbers is working with ECMWF to operationally implement methods for calibrating meteorological forecasts with near real time local observations.

Landslide EVO
LEVO logo

waternumbers is working with a number of leading UK and international institutions to promote and develop methods for citizen scientists to contribute to Landslide Risk Reduction and Disaster Resilience building in Mountain Regions.

waternumbers is contributing it skills using local data in precipitation now-casting, blending and flood forecasting./p>

Flood Forecasting in Nepal
Flood Image in Nepal

waternumbers worked with Practical Action Consulting and the Govt. of Nepal to enhance existing Community Based Early Warning Systems.

waternumbers implemented a robust procedure for forecasting future water levels based on real time data and provided training to forecasters.

FKF
Kalman Filtering Image

waternumbers currently maintains the Fast Kalman Filter package for R. The Fast Kalman Filter Toolbox allows the implementation of multivariate time series filtering with external time varying inputs and missing data using the linear Kalman filter.

FloodForT
floodfort image

The Flood Forcasting Toolbox allows the development of flood forecasting models based on Data Based Mechanistic methods.