Research

Convection rainfall is a major driver of hydrological extremes. This article highlights the value of convection‑permitting modelling (CPM) for managing flood risk and urban pollution from sewer systems. It presents CPM applications for flash‑flood guidance in Sierra Leone and for a UK rainfall‑perturbation tool helping water companies plan for future conditions. Both examples emphasise co‑design with end users.

It describes the first phase of a project that aims to assess the suitability of methods for estimating probable maximum precipitation (PMP and probable maximum flood (PMF) - and develop new methods to improve the safety of the highest risk reservoirs. Phase 1 reviews options for alternative approaches to estimating PMP and PMF and recommends a way forward for future research developments.

Research led by JBA, with contributions from academic partners, into the potential for open science, open data and open code concepts in operational flood hydrology.

The latest in a series of papers by David Archer and colleagues at JBA and Newcastle University, this paper explores a type of flood that can pose a danger to life and improvements that could be made to monitoring, flood estimation and forecasting.

This research explores how and why to include physical variables as covariates in statistical models of flood frequency. It also develops and illustrates methods for extracting flow estimates from such models so that practitioners can obtain useful results.

JBA authors contributed to this work led by Newcastle University. The research details Important findings about rainfall profiles used for design of drainage infrastructure, flood defences and dams.