Migeul Rico

Dr. Miguel Rico-Ramirez

Dr. Miguel Rico-Ramirez

Profile

The quantitative measurement and forecasting of precipitation is crucial for predicting and mitigating the effects of flood-producing storms. The main goal in flood forecasting is to provide reliable information to the general public, local authorities, and emergency services under the threat of potential flooding. Although significant progress has been made in the measurement and forecasting of precipitation using weather radars and numerical weather prediction models, there is a need to improve the estimation and forecasting of precipitation during extreme rainfall events in particular, not only for flood prediction in large rural catchments but also for applications in urban hydrology. For instance, real-time flood forecasting systems for flood prediction and warning in urban areas require measurements and forecasts of precipitation with high spatial and temporal resolutions such as those obtained with weather radars.  Accurate, reliable and timely quantitative precipitation forecasting is an important and challenging task that it is now crucial for the reduction of hazard and the preservation of life and property in large urban areas in the probability of flooding. My research interests fall in the area of flood forecasting with radar and numerical weather prediction models for the real-time prediction and management of severe storms.

 

Current Research Projects:

Quantifying Uncertainty in Integrated Catchment Studies (EU-funded project 2014-2017).
Processing and correction of polarimetric weather radar data for real-time application in urban drainage (funder: Institute for Technical and Scientific Hydrology, Hanover, 2013-2015)
Urban flood modelling using probabilistic radar rainfall ensembles (EPSRC-funded Project 2011-2012)

 

Biography

I’ve received the MEng. degree in Electrical Engineering from the University of Guanajuato (Mexico) and the PhD. degree from the University of Bristol. My main research interests are the application of digital signal processing techniques to remote sensing, in particular to weather radar systems, the uncertainty in the measurement of precipitation using weather radar, the development of polarimetric weather radar to improve data quality, the estimation of precipitation for hydrological and meteorological purposes and quantitative precipitation forecasting using radar and Numerical Weather Prediction (NWP) models. The Water Research Group within the Department of Civil Engineering provides a focus to study water management issues both in the UK and overseas from a systems point of view. Key expertise within the centre exists in: radar hydrology, real-time flood forecasting, hydrological modelling, numerical weather prediction modelling, hydroinformatics, flood risk management and other aspects of risk and uncertainty.

 

Keywords

remote sensing
digital signal processing
weather radar systems
vertical radar eflectivity
precipitation events
dual-polarization radar