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Publication profile

Thea Roksvåg

Thea, Roksvåg
Name: Thea Roksvåg
Title: Seniorforsker / Senior Research Scientist
Phone: (+47) +47 22 85 26 16 Mob: +47 970 01 651
Email: roksvag [at] nr [dot] no
Scientific areas: Statistical analysis
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Academic article
2021
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. 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. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). doi: 10.1111/rssc.12492. 2021.
Roksvåg, Thea; Lutz, Julia; Grinde, Lars; Dyrrdal, Anita Verpe; Thorarinsdottir, Thordis Linda. Consistent intensity-duration-frequency curves by post-processing of estimated Bayesian posterior quantiles. Journal of Hydrology (ISSN 0022-1694). 603(Part C) pp 1-15. doi: 10.1016/j.jhydrol.2021.127000. 2021.
2020
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework. Hydrology and Earth System Sciences (ISSN 1027-5606). 24 pp 4109-4133. doi: 10.5194/hess-24-4109-2020. 2020. Arkiv
Academic lecture
2021
Roksvåg, Thea; Lutz, Julia; Grinde, Lars; Dyrrdal, Anita Verpe; Thorarinsdottir, Thordis Linda. Consistent Intensity-Duration-Frequency curves by post-processing of estimated Bayesian posterior quantiles. 6th Conference on Modelling Hydrology, Climate and Land Surface Processes; Lillehammer, 9/14/2021 2:00:00 AM - 9/16/2021.
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. Estimating mean annual runoff by using a geostatistical spatially varying coefficient model that incorporates process-based simulations and short records. EGU 2021, 4/19/2021 - 4/30/2021.
2020
Steinsland, Ingelin; Roksvåg, Thea; Engeland, Kolbjørn. A new Bayesian hierarchical geostatistical model based on two spatial fields with case studies with short records of annual runoff in Norway. EGU General Assembly; Wien/Digitalt, 5/4/2020 - 5/8/2020.
2018
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. Prediction of annual runoff by using a Bayesian geostatistical model for combining precipitation gauge observations and runoff observations. European Geosciences Union General Assembly 2018; Wien, 4/8/2018 - 4/13/2018.
2017
Guo, Jingyi; Roksvåg, Thea; Steinsland, Ingelin. On combining point and area measurements for annual runoff predictions - A non-stationary model. Statistics seminar; Seattle, 10/27/2017.
Lecture
2022
Roksvåg, Thea; Lenkoski, Alex; Scheuerer, Michael; Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda. Prediction of the time to hard freeze using seasonal weather forecasts and survival time methods. Faglig seminar - Climate Futures; Zoom, 2/15/2022.
2021
Roksvåg, Thea; Lutz, Julia; Grinde, Lars; Dyrrdal, Anita Verpe; Thorarinsdottir, Thordis Linda. New methods for making consistent IDF curves for Norway. Workshop on statistical modelling of extremes - Annual workshop in the RCN funded project ClimDesign; NVE, Middelthunsgate 29, Oslo, Norway, 10/11/2021 - 10/12/2021.
2017
Roksvåg, Thea; Engeland, Kolbjørn; Steinsland, Ingelin. A Bayesian spatial model for utilising precipitation gauge observations and runoff observations for annual runoff predictions. Norsk statistikermøte, 6/12/2017 - 6/15/2017.
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. A Bayesian spatial model for utilising precipitation gauge observations and runoff observations for annual runoff predictions. European Geosciences Union General Assembly 2017, 4/23/2017 - 4/28/2017.
Poster
2020
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. Using Bayesian geostatistical models to correct gridded hydrological products relative to the actually observed streamflow. EGU general assembly 2020; Online, 5/4/2020 11:00:00 AM - 5/8/2020 2:00:00 AM.
2018
Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. Prediction of annual runoff by using a Bayesian geostatistical model for combining precipitation gauge observations and runoff observations. 2018 ISBA World MEeting; Edinburgh, 6/24/2018 - 6/29/2018.
2017
Guo, Jingyi; Roksvåg, Thea; Steinsland, Ingelin. On combining point and area measurements for a non-stationary spatial model. spatial statistics 2017; Lancaster, 7/4/2017 - 7/7/2017.
2016
Roksvåg, Thea; Steinsland, Ingelin. A Bayesian latent Gaussian spatial model for area and point observations and predictions. The Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications; Bath, 9/14/2016 - 9/16/2016.
Doctoral dissertation
2020
Roksvåg, Thea. Bayesian geostatistical two field models for combining data sources and exploiting short records: Applied to annual runoff interpolation in Norway. NTNU. pp 221. 2020.
Report
2021
Roksvåg, Thea; Thorarinsdottir, Thordis Linda. Prediksjon av lavvann ved Åbjøra. Norsk Regnesentral. NR-notat SAMBA/13/21. pp 35. 2021.
Popular scientific article
2022
Brox Nilsen, Irene; Dyrrdal, Anita Verpe; Roksvåg, Thea; Lutz, Julia; Engeland, Kolbjørn. Styrtregn og styrtflom: Hvordan kan vi unngå skader? Naturen (ISSN 0028-0887). 2022.
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR