The peak flow data story: from FSR to NRFA and onward

Sefton, Catherine; Dixon, Harry; Kral, Filip; Swain, Oliver. 2016 The peak flow data story: from FSR to NRFA and onward. [Lecture] In: BHS National Meeting: UK Flood Hydrology 40 Years after the Flood Studies Report, Wallingford, 22 Nov 2016. (Unpublished)

Full text not available from this repository. (Request a copy)


The peak flow dataset initiated by the Flood Studies Report (FSR) has seen significant developments in network size, data quality and technology over the last 40 years, resulting in the current service hosted by the National River Flow Archive (NRFA). Annual maxima and peaks over threshold data are now available on the NRFA website at nearly 1000 stations across the UK, and managed under a collaborative project between CEH and the Measuring Authorities. The project aims to deliver regular data updates, period of record validation and improvements in metadata and national consistency. Anticipated technological developments include software tools to improve user access to the data. Looking further ahead, the potential provision of local, historical and palaeoflood data is being explored with a view to improving their incorporation into Flood Estimation Handbook (FEH) techniques. Existing systems, most notably the Chronology of British Hydrological Events, and emerging apps and websites offer the means for collation of some such datatypes. However, the distribution and often unstructured format of the data will make searches and processing time consuming and lack full integration with hydrometric records. This presentation reviews options for developing a data system which allows instrumental and pre-instrumental data to be used in a combined approach to flood estimation.

Item Type: Publication - Conference Item (Lecture)
CEH Sections/Science Areas: Rees (from October 2014)
NORA Subject Terms: Hydrology
Date made live: 10 Mar 2017 15:17 +0 (UTC)

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...