Abstract
ABSTRACT The focus of this is to reveal the value of making national data archives available for scientific research by showing the specific example from the field of regional runoff reconstruction. Thus, for northwest Russia, we developed two gridded datasets of monthly runoff reconstruction: for the first dataset (BASE), we used only the freely available data from the Global Runoff Data Centre (GRDC), while, for the second dataset (SOTA), we complemented the GRDC data with digitized runoff records from Russian national observational runoff archives (R5). The accuracy of developed datasets in terms of monthly runoff prediction was assessed using the Nash-Sutcliffe efficiency (NSE) for a wide range of river basins. The results show that accounting for R5 data for runoff reconstruction underpins a substantial gain in NSE of SOTA over the BASE dataset. Moreover, both datasets, on average, outperform 10 state-of-the-art global hydrological models and one European-scale regional hydrological model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
