Towards a National Hydrological Monitoring Platform for the United Kingdom

Forecasting floods and droughts, identifying infrastructure risk, and building community resilience

March 2026

6.3M
Properties at flood risk across England
£10.5B
Committed to flood defence (2021–2027)
60%
Of climate adaptation outcomes rated insufficient

About the Author

JS

James P. R. Sorensen

Senior Hydrogeologist, British Geological Survey

Groundwater Science Directorate · BGS Wallingford · ORCID 0000-0002-2157-990X

James Sorensen is a Senior Hydrogeologist at the British Geological Survey, where he has spent nearly two decades advancing the science of groundwater monitoring, real-time water quality detection, and hydrological resilience to climate variability. His publication record spans over 50 peer-reviewed papers with approximately 2,900 citations, including contributions to Nature, Nature Communications, Water Research, and Science of the Total Environment.

Sorensen holds a PhD in Geography from University College London (supervised by Professor Richard Taylor), an MSc in Hydrogeology with Distinction from the University of Leeds — where he was awarded the WYG Prize — and a First-Class BSc in Environmental Science from Lancaster University. He is a member of the International Association of Hydrogeologists (IAH).

Expertise & Research Track Record

Sorensen is internationally recognised for pioneering the use of tryptophan-like fluorescence (TLF) as a rapid, reagentless, field-deployable indicator of faecal contamination in drinking water — work that has drawn direct interest from UNICEF, which identified real-time in-situ E. coli detection as a "target product" for global procurement.[51] His 2015 Water Research paper establishing TLF as a real-time contamination indicator remains a foundational reference in the field.[52]

His groundwater research extends across continents — from tracing enteric pathogen contamination in sub-Saharan African aquifers to discovering the seasonal prevalence of Hepatitis A, norovirus, and Hepatitis E in English groundwater-derived public water supplies, with 89% of positive viral detections occurring during the recharge season.[53] He was a co-author on the landmark 2019 Nature paper establishing observed controls on groundwater resilience to climate variability in sub-Saharan Africa — research directly relevant to understanding how aquifer systems respond to the kind of climatic shifts now affecting the UK.[54]

Role in FDRI & UK Monitoring Infrastructure

Critically for this paper, Sorensen is actively involved in the Flood and Drought Research Infrastructure (FDRI) programme — the £40 million NERC-funded initiative deploying next-generation monitoring infrastructure across UK catchments including the Severn, Chess/Thames, and Tweed. Within FDRI, he is designing the groundwater monitoring architecture that will underpin a new generation of hydrological science and real-time decision support.[19] He also contributes to TerraFIRMA, the NERC Multi-Centre National Capability programme investigating risks of overshooting Paris Agreement warming targets.

His work on real-time groundwater flooding alert systems at BGS, combined with his expertise in low-cost sensor technologies and his fieldwork across both data-rich UK aquifers and data-sparse international settings, gives him a uniquely informed perspective on the monitoring gaps this paper identifies — and the practical solutions it proposes.

Author's Perspective

Sorensen's Position

Sorensen's career embodies the central argument of this paper: that the UK's hydrological monitoring infrastructure, while extensive in parts, contains critical blind spots that can only be addressed through integrated, technology-driven approaches. Three themes from his research are particularly relevant:

1. Real-time monitoring is transformative. His decade of work on fluorescence-based water quality sensors demonstrates that low-cost, continuously deployed instruments can detect contamination events that periodic grab-sampling misses entirely. The same principle applies to hydrological monitoring more broadly — the shift from periodic observation to continuous, real-time data fundamentally changes what is detectable and actionable.

2. Groundwater is the neglected dimension. With only 181 index boreholes in the BGS national network, and his own research revealing seasonal viral contamination in English aquifers that went undetected for decades, Sorensen brings firsthand evidence that the UK's subsurface water resources are monitored at a density wholly inadequate for a nation where groundwater supplies 30% of public water — and over 70% in the south-east.

3. Field-tested solutions exist. Sorensen's international fieldwork — deploying monitoring networks in resource-constrained settings across Uganda, Niger, Senegal, and South Africa — demonstrates that effective environmental monitoring does not require prohibitive investment. The low-cost IoT sensor networks proposed in this paper draw directly on the principle that well-designed, affordable instrumentation, deployed at density, outperforms sparse networks of expensive equipment.

Selected Key Publications

  • Cuthbert, M.O., Taylor, R.G., ... Sorensen, J.P.R., et al. (2019). Observed controls on resilience of groundwater to climate variability in sub-Saharan Africa. Nature, 572, 230–234.
  • McDonough, L.K., Santos, I.R., ... Sorensen, J.P.R., et al. (2020). Changes in global groundwater organic carbon driven by climate change and urbanization. Nature Communications, 11, 1279.
  • Sorensen, J.P.R., Lapworth, D.J., et al. (2015). In-situ tryptophan-like fluorescence: a real-time indicator of faecal contamination in drinking water supplies. Water Research, 81, 38–46.
  • Sorensen, J.P.R., Aldous, P., et al. (2021). Seasonality of enteric viruses in groundwater-derived public water sources. Water Research, 207, 117813.
  • Sorensen, J.P.R., Gahi, N.Z., et al. (2024). Groundwater recharge is diffuse in semi-arid African drylands. Journal of Hydrology, 636, 131227.
  • Sorensen, J.P.R., Nayebare, J., et al. (2021). In-situ fluorescence spectroscopy is a more rapid and resilient indicator of faecal contamination risk in drinking water than faecal indicator organisms. Water Research, 206, 117734.

Abstract

The United Kingdom faces escalating hydrological extremes driven by climate change, with flood and drought events increasing in both frequency and severity. Yet the nation's monitoring infrastructure remains fragmented across four devolved agencies, with critical blind spots in surface water flood prediction, small rural catchments, and groundwater dynamics. This paper argues for the development of an integrated, real-time national hydrological monitoring platform that unifies disparate data sources, deploys low-cost IoT sensor networks into underserved catchments, harnesses artificial intelligence for ensemble flood and drought forecasting, and engages citizen scientists in sustained environmental observation. Drawing on the latest evidence from NaFRA2, UKCP18, the Climate Change Committee, and the NERC-funded Flood and Drought Research Infrastructure programme, we outline a phased architecture and implementation roadmap for a platform capable of transforming the UK's capacity for proactive hydrological resilience.

1. Introduction — The Case for Change

The United Kingdom's relationship with water has entered a new and volatile era. Within the span of a single decade, the nation has experienced hydrological extremes that have broken century-old records, overwhelmed existing infrastructure, and exposed the inadequacy of current monitoring and forecasting systems.

In December 2015, Storm Desmond delivered 341.4 mm of rainfall in 24 hours at Honister Pass in Cumbria — a new UK record — causing catastrophic flooding across northern England and southern Scotland, with estimated economic damages exceeding £1.3 billion.[1] In the summer of 2022, the UK recorded its highest-ever temperature of 40.3°C at Coningsby, Lincolnshire, during a drought that saw river flows across southern England fall to their lowest levels since 1976.[2] Storm Babet in October 2023 flooded over 5,000 properties and caused widespread transport disruption, while the winter of 2025–26 has delivered the wettest conditions in England and Wales since records began in 1836.[3][4]

These events are not anomalies. The UK Climate Projections 2018 (UKCP18) indicate that extreme rainfall events could become up to four times more frequent by 2080 under high-emission scenarios, while summer droughts are projected to intensify significantly across southern and eastern England.[5] The National Flood Risk Assessment 2 (NaFRA2), published by the Environment Agency in 2024, estimates that 6.3 million properties in England are currently at risk from flooding — a figure projected to rise to approximately 8 million by mid-century under a 2°C warming pathway.[6]

Against this backdrop, the Climate Change Committee's 2025 Progress Report delivered a stark assessment: 60% of expected adaptation outcomes across the UK are rated as having insufficient progress, and the Third National Adaptation Programme (NAP3) was described as "ineffective" in driving the systemic change required.[7] The House of Commons Environmental Audit Committee report HC 550 identified fragmented governance, inconsistent data standards, and the absence of a national monitoring baseline as key barriers to effective flood risk management.[8]

Key Finding

The UK lacks a unified, real-time hydrological monitoring system. Four nations, four agencies, multiple data standards — and critical gaps in surface water, small catchment, and groundwater monitoring — undermine the country's ability to forecast, prepare for, and respond to hydrological extremes.

This paper presents the case for a national hydrological monitoring platform: an integrated system that bridges institutional boundaries, fills observational gaps, and provides the data infrastructure necessary for proactive resilience in a changing climate.

2. Current Monitoring Infrastructure

The UK's hydrological monitoring capability is distributed across four national agencies, each operating independently with distinct data systems, reporting standards, and levels of investment.

2.1 Environment Agency (England)

The Environment Agency operates the most extensive network, comprising approximately 5,500 telemetry outstations within a wider estate of around 8,000 monitoring stations.[9] These provide river level, flow, rainfall, and groundwater data at 15-minute resolution, accessible through the EA's Hydrology API and real-time data explorer. The network forms the backbone of England's flood warning service, which currently covers 1.5 million properties.

2.2 Flood Forecasting Centre

The Flood Forecasting Centre (FFC) operates as a joint venture between the Environment Agency and the Met Office, providing 5-day flood outlooks and triggering the National Flood Forecasting System (NFFS). In 2024, the FFC piloted its Rapid Flood Guidance system — an experimental service targeting surface water flood risk in urban areas, historically the hardest flood type to predict.[10]

2.3 Scotland — SEPA

The Scottish Environment Protection Agency operates 392 hydrometric stations across Scotland. In April 2024, SEPA launched PREDICTOR, an AI-enhanced flood forecasting system that extends lead times from 12 to 36 hours for major river systems, using machine learning trained on 40 years of historical records.[11]

2.4 Wales & Northern Ireland

Natural Resources Wales (NRW) maintains over 400 river and rainfall monitoring stations, while the Department for Infrastructure (DfI) Rivers in Northern Ireland operates approximately 135 hydrometric stations.[12][13] Both agencies provide flood warning services, though with notably smaller networks relative to their geographic coverage.

2.5 The Fragmentation Problem

Despite the combined scale of these networks, there is no unified API, no common data standard, and no single point of access for UK-wide hydrological data. Each agency maintains separate databases, uses different station identifiers, and publishes data on varying timescales. For researchers and emergency responders requiring a national picture, this fragmentation represents a significant operational barrier.[8] Most critically, surface water flooding — which accounts for the majority of flood risk — remains a systemic blind spot across all four networks.

3. Existing Datasets & Platforms

Notwithstanding the fragmentation of operational monitoring, the UK benefits from a rich ecosystem of hydrological datasets and research platforms. Any national monitoring platform must integrate and build upon these existing resources.

National River Flow Archive (NRFA)

1,500+ gauging stations · 50,000+ station-years

Maintained by UKCEH, the NRFA is the UK's definitive archive of river flow data, with continuous records dating back to the 1880s for some stations.[14]

EA Real-Time Hydrology API

~5,500 stations · 15-min resolution

Open API providing real-time river levels, flows, rainfall, and groundwater readings across England. Freely accessible for integration.[9]

UKCP18 Climate Projections

2.2 km resolution · Scenarios to 2100

Met Office convection-permitting projections at 2.2 km resolution — the highest available globally for a national-scale domain. Critical for understanding future rainfall extremes.[5]

eFLaG

200 catchments · Projections to 2080

The enhanced Future Flows and Groundwater dataset provides climate-driven hydrological projections for 200 UK catchments under multiple UKCP18 scenarios.[15]

COSMOS-UK

44 sites · Soil moisture monitoring

UKCEH's cosmic-ray soil moisture monitoring network, providing near-real-time soil moisture, temperature, and meteorological data across representative UK landscapes.[16]

BGS National Groundwater Level Archive

181 boreholes · Monthly to hourly

The British Geological Survey maintains the UK's primary groundwater level monitoring network, with records from 181 index boreholes — a notably sparse network for the UK's groundwater-dependent regions.[17]

Copernicus / GloFAS

Global coverage · 30-day forecasts

The Copernicus Global Flood Awareness System provides continental-to-global flood forecasting, complementing national systems with broader spatial context and seasonal outlooks.[18]

FDRI Programme

£40M NERC investment · Launched Oct 2024

The Flood and Drought Research Infrastructure programme, funded by NERC, is deploying new sensor networks, data platforms, and research capability across UK catchments to address critical knowledge gaps.[19]

4. Identified Gaps & Challenges

Despite the breadth of existing monitoring, several critical gaps undermine the UK's hydrological intelligence.

4.1 Surface Water Flooding

Surface water flooding — caused by intense rainfall overwhelming drainage systems — represents the single largest source of flood risk in England. NaFRA2 estimates that 4.6 million properties are at risk from surface water flooding, a 43% increase on the previous 2018 assessment.[6] Yet surface water floods are the hardest to predict, with lead times often measured in minutes rather than hours. Current monitoring networks are designed primarily for fluvial (river) systems and offer limited insight into pluvial (rainfall-driven) surface water dynamics.

4.2 Small and Rural Catchments

The UK's monitoring networks are concentrated on major rivers and population centres. Thousands of smaller, rural catchments — many of which feed into larger systems and contribute to downstream flood peaks — remain essentially unmonitored. This is particularly problematic in upland areas, where rapid runoff can generate flash floods with devastating local impact.[20]

4.3 Groundwater

With only 181 index boreholes in the BGS national network, groundwater monitoring density is strikingly low relative to the importance of groundwater resources. Groundwater provides approximately 30% of England's public water supply, rising to over 70% in south-east England. The limited spatial coverage hampers drought early warning and long-term resource planning.[17]

4.4 Data Fragmentation

As detailed in Section 2, the four-nation structure of UK water governance creates significant barriers to integrated analysis. Different agencies use different station naming conventions, quality assurance protocols, data formats, and access mechanisms. There is no UK-wide equivalent of the USGS National Water Information System that provides standardised access to hydrological data across administrative boundaries.[8]

4.5 Climate Adaptation Deficit

The CCC's assessment that 60% of adaptation outcomes are insufficient reflects a systemic gap between climate science knowledge and operational response capacity. Without integrated, real-time monitoring data flowing into decision-support systems, local authorities and infrastructure operators cannot translate climate projections into timely, evidence-based action.[7]

Figure 1. Properties at flood risk in England by source, NaFRA2 (2024). Note: properties may be at risk from multiple sources.

5. Infrastructure at Risk

Hydrological extremes pose direct threats to the UK's critical national infrastructure — transport networks, water systems, energy supply, and telecommunications — with cascading consequences for public safety and economic productivity.

5.1 Transport

The CCC's 2025 assessment found that 38% of major roads and 37% of railway lines in England are located in areas at risk of flooding, figures projected to rise to 46% and 54% respectively by 2050 under medium-emission scenarios.[7] Network Rail has committed £2.8 billion to climate resilience programmes, including earthworks stabilisation and drainage upgrades, but the scale of the challenge continues to outpace investment.[21]

5.2 Water Infrastructure

The water sector faces a dual crisis of infrastructure decay and regulatory pressure. Thames Water alone accumulated over 300,000 hours of sewage discharge in 2023, with total sector debt exceeding £20 billion.[22] Storm overflows — directly triggered by extreme rainfall events — represent a failure mode that integrated monitoring and early warning could significantly mitigate.

5.3 Critical National Infrastructure

The Joint Committee on the National Security Strategy (JCNSS) identified "very little join-up" across the 13 defined CNI sectors in their 2024 assessment of climate resilience.[23] Energy substations, telecommunications exchanges, hospitals, and data centres located in flood-risk areas often lack adequate warning systems or operational contingency plans linked to real-time hydrological data.

Figure 2. Proportion of transport infrastructure at flood risk: current assessment vs. 2050 projections (CCC, 2025).

6. Proactive Resilience Solutions

A growing body of evidence demonstrates that proactive, nature-based and community-driven approaches can significantly reduce flood risk and build long-term resilience — but their effectiveness depends on robust monitoring data to target interventions and measure outcomes.

6.1 River Restoration & Natural Flood Management

Natural Flood Management (NFM) — including river restoration, floodplain reconnection, leaky dams, and land management interventions — has emerged as a cost-effective complement to traditional engineered defences.

6.2 Citizen Science

Citizen science programmes are transforming the scale and resolution of environmental monitoring across the UK, providing data from locations that professional networks cannot reach.

6.3 Capacity Building & Investment

The UK Government's commitment of £10.5 billion for flood and coastal defence (2021–2027) represents the largest-ever investment programme, supporting over 2,000 schemes.[31] The Property Flood Resilience (PFR) programme has enrolled 30 local authorities in its delivery framework, while NERC Doctoral Training Partnerships continue to build the next generation of hydrological scientists.[32] The Government's FloodReady Action Plan, published in 2025, sets ambitious targets for community preparedness and institutional coordination.[33]

7. Proposed Platform Architecture

Drawing on the analysis of existing infrastructure, identified gaps, and emerging best practice, we propose a national hydrological monitoring platform built on six integrated components.

7.1 Unified Data Integration Layer

A federated API that aggregates real-time data from the Environment Agency, SEPA, Natural Resources Wales, DfI Rivers, the Met Office, and the British Geological Survey into a single, standardised access point. The integration layer would implement OGC (Open Geospatial Consortium) standards, including SensorThings API and WaterML 2.0, enabling interoperability with international systems.[34]

7.2 Low-Cost IoT Sensor Networks

Deployment of low-cost water level and flow sensors (approximately €200/unit, based on the LevelWAN architecture) into underserved small and rural catchments.[35] Using LoRaWAN or NB-IoT connectivity, these sensors would transmit data at 5–15 minute intervals, filling the critical observational gaps identified in Section 4. A target deployment of 500+ sensors across priority catchments within three years could transform monitoring coverage in previously data-sparse areas.

7.3 AI/ML Ensemble Forecasting

An ensemble forecasting engine combining physics-based hydrological models (such as Grid-to-Grid and LISFLOOD) with machine learning approaches, including deep learning architectures trained on the NRFA's 50,000+ station-years of data. This hybrid approach has demonstrated particular promise for surface water flood prediction, where traditional models struggle with the complexity of urban drainage interactions.[36]

7.4 Catchment-Scale Digital Twins

Development of digital twin models at the catchment scale, integrating real-time sensor data, terrain models, land use data, and climate projections to enable scenario testing and decision support. Building on pioneering work by Arup and UKCEH, these digital twins would allow planners and emergency responders to simulate flood and drought scenarios in near-real time.[37]

7.5 Citizen Science Integration Portal

A dedicated portal for ingesting, quality-assuring, and integrating citizen science data from FreshWater Watch, Riverfly ARMI, CaBA partnerships, and flood warden networks. By providing standardised data submission tools and real-time feedback, the portal would sustain volunteer engagement while enriching the platform's observational density.[28]

7.6 Open Data & Reproducible Science

All platform data would be published under open licences (OGL or CC-BY), with full provenance metadata, API documentation, and reproducible analysis pipelines. This commitment to open science ensures that the platform serves not only operational flood management but also the broader research community.[38]

Proposed Platform Architecture DATA SOURCES EA Hydrology SEPA NRW DfI Rivers Met Office BGS IoT Sensors Citizen Science UNIFIED DATA INTEGRATION LAYER OGC SensorThings API · WaterML 2.0 · Federated Query Engine AI/ML ENSEMBLE FORECASTING Flood · Drought · Surface Water · Groundwater CATCHMENT DIGITAL TWINS Scenario Modelling · Real-Time Simulation DECISION SUPPORT & OUTPUTS Flood Warnings Drought Outlooks Infrastructure Alerts NFM Monitoring Open Data API Research Portal STAKEHOLDERS EA / SEPA / NRW Local Authorities Water Companies Researchers Communities DATA FLOW

8. Action Plan & Roadmap

We propose a phased implementation over five years, aligned with existing funding cycles (including FDRI and the Government's flood defence programme) and designed to deliver incremental value at each stage.

1
Foundation & Pilot
Year 1 (2027)

Establish the unified data integration layer, connecting EA, SEPA, NRW, and DfI data feeds. Deploy pilot IoT sensor networks in 5 priority catchments (selected for diversity: urban, rural, upland, lowland, coastal). Launch citizen science recruitment programme targeting 1,000 new volunteers. Begin AI model development using NRFA historical data.

2
Scale & Intelligence
Years 2–3 (2028–2029)

Scale IoT deployment to 500+ sensors across 50 catchments. Launch operational AI ensemble forecasting for fluvial and surface water flood risk. Develop first-generation digital twin pilots for 10 priority catchments. Integrate citizen science data streams into the platform. Publish open API and documentation.

3
National Coverage
Years 3–5 (2029–2031)

Achieve national sensor coverage with 2,000+ IoT devices. Full integration with the FDRI programme's research infrastructure. Deploy digital twins for all major UK river catchments. Establish community resilience hubs linking platform data to local flood warden networks and emergency planning.

4
Continuous Improvement
Ongoing (2031+)

Continuous model improvement incorporating new UKCP18 updates and observational data. Policy feedback loops connecting platform insights to NAP revisions and flood risk management strategies. International knowledge exchange and contribution to global monitoring frameworks including GloFAS and WMO HydroHub.

Figure 3. Implementation roadmap — phased delivery timeline with key milestones.

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