Blar i NTNU Open på forfatter "Roksvåg, Thea"
-
Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn (Peer reviewed; Journal article, 2020)In this article, we present a Bayesian geostatistical framework that is particularly suitable for interpolation of hydrological data when the available dataset is sparse and includes both long and short records of runoff. ... -
A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn (Peer reviewed; Journal article, 2022)We present a Bayesian geostatistical model for mean annual runoff that incorporates simulations from a process-based hydrological model. The simulations are treated as a covariate and the regression coefficient is modeled ... -
Journal of the Royal Statistical Society: Series C (Applied Statistics) Journal of the Royal Statistical Society: Series C (Applied Statistics) ORIGINAL ARTICLE Open Access A two-field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn (Peer reviewed; Journal article, 2021)We estimate annual runoff by using a Bayesian geostatistical model for interpolation of hydrological data of different spatial support: streamflow observations from catchments (areal data), and precipitation and evaporation ...