ea641367-dc35-4695-97b8-63f7d6fa9105 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-02-06T13:36:12 UK GEMINI 2.3 WGS 84 Modelled dynamic response characteristics of selected micro-basins in the UK 2024-04-09 publication https://catalogue.ceh.ac.uk/id/ea641367-dc35-4695-97b8-63f7d6fa9105 10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105 doi: Chappell, N.A., Mindham, D., McShane, G., Beven, K.J. (2024). Modelled dynamic response characteristics of selected micro-basins in the UK. NERC EDS Environmental Information Data Centre 10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105 The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall to discharge response of these basins has been modelled with the RIV algorithm of the CAPTAIN Toolbox (Taylor et al., 2007 doi.org/10.1016/j.envsoft.2006.03.002). The resultant modelled characteristics of the rainfall-discharge dynamics are presented on an event-by-event basis. Full details about this dataset can be found at https://doi.org/10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105 Chappell, N.A. Lancaster University n.chappell@lancaster.ac.uk https://orcid.org/0000-0001-6683-951X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Mindham, D. Lancaster University d.mindham@lancaster.ac.uk https://orcid.org/0000-0002-9818-1465 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author McShane, G. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Beven, K.J. Lancaster University k.beven@lancaster.ac.uk https://orcid.org/0000-0001-7465-3934 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chappell, N.A. Lancaster University n.chappell@lancaster.ac.uk pointOfContact Lancaster University n.chappell@lancaster.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication flood resilience model storm runoff atmospheric precipitation GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology rainfall rain gauge Cumbria Q-NFM C-NFM flume discharge natural flood management NFM nature-based solution NbS CAPTAIN toolbox transfer function hydrograph micro-basin otherRestrictions no limitations otherRestrictions Creative Commons Attribution 4.0 International (CC BY 4.0) otherRestrictions If you reuse this data, you should cite: Chappell, N.A., Mindham, D., McShane, G., Beven, K.J. (2024). Modelled dynamic response characteristics of selected micro-basins in the UK. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105 textTable English utf8 environment -3.653 -2.554 54.049 55.154 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/ea641367-dc35-4695-97b8-63f7d6fa9105 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/ea641367-dc35-4695-97b8-63f7d6fa9105.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Observed stream discharge data per unit micro-basin area (mm/15min) were modelled from observed rainfall data from a single raingauge within the micro-basin (mm/15min). The simulated discharge time-series (mm/15min) was modelled using the RIVSID algorithms of the CAPTAIN Toolbox (https://wp.lancs.ac.uk/captaintoolbox) that represent dynamics in the form of Transfer Functions. RIVSID is an abbreviation of ‘Refined Instrumental Variable System Identification’ algorithms. These algorithms are available for optimal RIV estimation of multiple-input, discrete-time and hybrid continuous-time Transfer Function models. Details of how to use RIVSID within the Matlab programming environment are given at: https://eprints.lancs.ac.uk/id/eprint/86904/4/CAPTAIN_Getting_Started.pdf. The derived Transfer Function characteristics, sometimes called ‘Dynamic Response Characteristics’ or DRCs, of Time Constant, Steady State Gain and Pure Time Delay. The Time Constant is the transfer time of the propagating flood wave (i.e., celerities) through the catchment (Cheng et al. 2023. Water Resources Research, 59: e2022WR033625, https://doi.org/10.1029/2022WR033625). The Steady State Gain a rainfall-runoff system is simply the simulated runoff coefficient (Chappell et al., 2006. For. Ecol. Manage. 224, 58-80, https://doi.org/10.1016/j.foreco.2005.12.008). The Pure Time Delay in simple terms is the time between a rainfall input and the first discharge response (Chappell et al., 2012. IAHS Publication 353, IAHS Press. 82-93, http://iahs.info/redbooks/a353/iahs_353_0082.pdf). Full and complex explanation of the Transfer Function identification is given within Box, G.E.P, Jenkins, G.M. and Reinsel, G.C. 2008. Time Series Analysis. John Wiley and Sons, pp746. For the specific application of RIVSID, each discharge hydrograph event was modelled separately. The characteristics of each simulated discharge hydrograph were then derived from the simulated stream discharge data per unit micro-basin area (mm/15min) also within the Matlab programming environment. For fine technical details of how RIVSID was applied to the specific micro-basins, please see Mindham, D., Beven, K. and Chappell, N. 2023. Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. Hydrology Research, 54(2): 233-244. https://doi.org/10.2166/nh.2023.115