Large-scale river flow archives: importance, current status and future needs

Hannah, David M.; Demuth, Siegfried; van Lanen, Henny A. V.; Looser, Ulrich; Prudhomme, Christel; Rees, Gwyn ORCID:; Stalh, Kerstin; Tallaksen, Lena. 2011 Large-scale river flow archives: importance, current status and future needs. Hydrological Processes, 25 (7). 1191-1200.

Full text not available from this repository.


Time-series for river gauging stations are core blue-skies and applied research resources for understanding impacts of climate and anthropogenic change on basin hydrology. River flow archives hold vital information for evidence-based assessment of past hydrological variability, and support hydrological modelling of future changes. River discharge is an integration of basin input, storage and transfer processes to the gauging point. It is important to set basin outlet data in regional to global and long-term contexts: to better understand nested scales of variability; to pinpoint locations and time periods most sensitive to climate and human impacts; to make predictions for ungauged basins; and to inform decision makers on water security issues, and where and when to take measures to mitigate water hazards and stress, including floods and droughts (Dai et al., 2009; Bonnell et al., 2006; Feyen & Dankers, 2009; Haddeland et al., 2006; Hannah et al., 2005). Thus, there is clear rationale for supporting large-scale (i.e. regional to continental to global) river flow archives. Notable examples of such databases include that held by the WMO Global Runoff Data Centre (GRDC) and the UNESCO Flow Regimes from International Experimental and Network Data (FRIEND) European Water Archive (EWA). For large-scale river flow archives to be valuable research resources, they must be fit for purpose. However, these databases are at risk due to a possible decline in network coverage, associated time-series truncation, growing human impact on (near-) natural flows, and increasingly restricted access to national-scale data. This commentary aims: (1) to demonstrate largescale river flow datasets are crucial to advance hydrological science and solve operational issues; (2) to assess the current status of large-scale river flow datasets; and (3) to propose ways forward to consolidate historical data and secure future river flow data.

Item Type: Publication - Article
Digital Object Identifier (DOI):
Programmes: CEH Topics & Objectives 2009 - 2012 > Water > WA Topic 3 - Science for Water Management > WA - 3.1 - Develop next generation methods for river flow frequency estimation and forecasting
UKCEH and CEH Sections/Science Areas: Harding (to July 2011)
ISSN: 0885-6087
NORA Subject Terms: Hydrology
Date made live: 28 Mar 2011 14:23 +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...