Previsico Unveils Instacasting for Advanced Surface Water Flood Forecasting

Previsico, a specialist in surface water flood forecasting, has announced the launch of Instacasting, a next-generation flood mitigation solution. This innovative tool leverages the most accurate observed rainfall data available in the market to predict surface water flood risk more quickly and precisely. Instacasting complements Previsico’s existing flood data by employing exact rainfall data, thus enhancing flood resource allocation, loss control, and risk mitigation. The potential savings for insurers on flash flooding losses are significant, as this technology promises to revolutionize the way flood risks are managed.

Surface water flooding is the most considerable flood risk in the UK, impacting more than 2.8 million people in England alone. Clients such as National Grid, Network Rail, and Zurich Insurance stand to gain substantially from Instacasting’s advanced capabilities. By utilizing an array of data sets—including rainfall RADAR—the technology can determine observed rainfall and model it to predict flooding with up to 80% accuracy. This groundbreaking approach provides a crucial edge in mitigating the devastating impacts of surface water flooding, supporting faster and more informed decision-making.

Instacasting Features and Functionality

Jonathan Jackson, Previsico’s CEO, highlighted that the new radar-derived observable data provides unmatched accuracy and timeliness, essential in effective surface water flood forecasting. Instacasting is set to be available in three distinct formats, each tailored to specific needs. Instacast Outlook will display flood footprints from observed rainfall, enabling users to forecast potential flooding areas. Instacast Playback allows users to view flood footprints up to 12 hours in the past, providing valuable insights for analyzing previous events. Finally, Instacast On-Demand offers bespoke retrospective event analysis, catering to those requiring detailed assessments of past floods.

The technology behind Instacasting is built on two decades of research at Loughborough University, solidifying Previsico’s standing as a global leader in surface water flood modeling and risk mitigation. The dedication to scientific excellence ensures that this tool not only meets current needs but is also adaptable to future challenges in flood risk management. As such, Instacasting stands poised to set a new standard in the industry, providing unmatched accuracy and reliability.

Implications for Flood Risk Management

Previsico, specializing in surface water flood forecasting, has unveiled Instacasting, a cutting-edge flood mitigation tool. This innovative solution uses the most precise observed rainfall data available to predict surface water flood risks faster and more accurately. Instacasting enhances Previsico’s current flood data by incorporating exact rainfall information, improving resource allocation, loss control, and risk mitigation. For insurers, the potential savings on flash flooding losses are substantial, as this technology could transform flood risk management.

Surface water flooding is the UK’s most significant flood risk, affecting over 2.8 million people in England alone. Clients like National Grid, Network Rail, and Zurich Insurance can reap considerable benefits from Instacasting’s advanced features. By drawing on a variety of data sets, such as rainfall RADAR, the technology can analyze observed rainfall and model it to predict floods with up to 80% accuracy. This groundbreaking method provides a vital advantage in mitigating the severe impacts of surface water flooding and aids quicker, more informed decision-making.

Explore more

How Can Employers Successfully Onboard First-Time Workers?

Introduction Entering the professional landscape for the first time represents a monumental shift in daily existence that many seasoned managers often underestimate when integrating young talent into their teams. This transition involves more than just learning new software or attending meetings; it requires a fundamental recalibration of how an individual perceives time, authority, and personal agency. For a school leaver

Modern Software QA Strategies for the Era of AI Agents

The software industry has officially moved past the phase of simple suggested code, as 84% of developers now rely on artificial intelligence as a core engine of production. This is no longer a scenario of a human developer merely assisted by a machine; the industry has entered an era where AI agents act as the primary pilots, generating over 40%

Trend Analysis: Data Science Skill Prioritization

Navigating the current sea of automated machine learning and generative tools requires a surgical approach to skill acquisition that prioritizes utility over the mere accumulation of digital badges. In the modern technical landscape, the sheer volume of available libraries, frameworks, and specialized platforms has created a paradox of choice that often leaves aspiring practitioners paralyzed. This abundance of resources, while

B2B Platforms Boost Revenue Through Embedded Finance Integration

A transition is occurring where software providers are no longer content with being mere organizational tools; they are rapidly evolving into the central nervous system of global commerce by absorbing the financial functions once reserved for traditional banks. This evolution marks the end of the era where a business had to navigate a dozen different portals to pay a vendor

How Is Data Engineering Scaling Blockchain Intelligence?

In the rapidly evolving world of decentralized finance, the ability to trace illicit activity across fragmented networks has become a civilizational necessity. Dominic Jainy, an expert in high-scale data engineering and blockchain intelligence, understands that the difference between a successful investigation and a cold trail often comes down to the milliseconds of latency in a data pipeline. At TRM Labs,