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.
waternumbers is working with ECMWF to operationally implement methods for calibrating meteorological forecasts with near real time local observations.
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>
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.
The Flood Forcasting Toolbox allows the development of flood forecasting models based on Data Based Mechanistic methods.