[{"@context":"http:\/\/schema.org\/","@type":"Dataset","identifier":"https:\/\/doi.org\/10.17043\/mansanarez-2019-hydrology-1","@id":"https:\/\/doi.org\/10.17043\/mansanarez-2019-hydrology-1","name":"Measured river data and estimated rating curve uncertainties for Nybro and R\u00f6\u00e5n hydrological stations in central Sweden","description":"The dataset includes combined topography and bathymetry, vegetation roughness surveys and water-surface slope surveys available at the two stations. Data were measured in October 2013, April 2014 and May 2016. Related rating curve (discharge versus water level) uncertainty results were estimated through the application of the RUHM framework (Rating curve Uncertainty estimation using Hydraulic Modelling) for the current valid rating-curve stability period. This framework is based on hydraulic modelling and Bayesian inference and used a Markov chain Monte Carlo (MCMC) method to explore the posterior distribution of the parameters of interest by random sampling in a probabilistic space. Estimated rating curve uncertainty results from this exploration are provided as the maximum posterior (MAP) rating curve result and as MCMC rating curve results for the different randomized simulations.","url":"http:\/\/bolin.su.se\/data\/mansanarez-2019-hydrology-1","keywords":["Lacustrine","Hydrology","Rating curves","RUHM framework","Nybro","R\u00f6\u00e5n","Earth science > Terrestrial hydrosphere > Surface water > Discharge\/flow"],"creator":{"@type":"Person","name":"Valentin Mansanarez, Ida K. Westerberg, Norris Lam, Steve W. Lyon"},"citation":"Mansanarez, V., Westerberg, I.K., Lam, N. and Lyon, S.W. (2019). Rapid Stage-Discharge Rating Curve Assessment Using Hydraulic Modeling in an Uncertainty Framework. Water Resoures Research. (in review)\r\n\r\nLam, N. (2017). Modeling rating curves from close-range remote sensing data. Application of laser and acoustic ranging instruments for capturing stream channel topography (Doctoral dissertation). Stockholm University, Department of Physical Geography, Stockholm, Sweden. http:\/\/urn.kb.se\/resolve?urn=urn:nbn:se:su:diva-142135","isAccessibleForFree":true,"includedInDataCatalog":{"@type":"DataCatalog","name":"Bolin Centre for Climate Research, Stockholm University","identifier":"https:\/\/bolin.su.se\/data\/","url":"https:\/\/bolin.su.se\/data\/"},"distribution":{"@type":"DataDownload","encodingFormat":"application\/zip","contentUrl":"https:\/\/bolin.su.se\/data\/uploads\/mansanarez-2019-2.zip"},"size":50007998,"isBasedOn":"Mansanarez, V., Westerberg, I.K., Lam, N. and Lyon, S.W. (2019). Rapid Stage-Discharge Rating Curve Assessment Using Hydraulic Modeling in an Uncertainty Framework. Water Resoures Research. (in review)\r\n\r\nLam, N. (2017). Modeling rating curves from close-range remote sensing data. Application of laser and acoustic ranging instruments for capturing stream channel topography (Doctoral dissertation). Stockholm University, Department of Physical Geography, Stockholm, Sweden. http:\/\/urn.kb.se\/resolve?urn=urn:nbn:se:su:diva-142135","temporalCoverage":"\/"}]