Thea Roksvåg

Predicting streamflow and hydropower production with Long Short Term Memory models doi: https://doi.org/https://www.hydrologiraadet.no/wp-content/uploads/2025/05/9-Kamilla-W-og-Silius-V.pptx , 2025. Lecture

Areal reduction factors from gridded data products Journal of Hydrology, vol. 635, pp. 1 12 , (ISSN 0022-1694 1879-2707 ), doi: https://doi.org/10.1016/j.jhydrol.2024.131177 , 2024. Scientific article

Widespread Risk of Extreme Precipitation and Flooding , 2024. Report

Estimating extreme areal precipitation from gridded data products 2023. Poster

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods 2022. Lecture

Birdcam: Automatic monitoring of birds near wind parks 2022. Report

Estimating consistent rainfall design values for Norway using Bayesian inference and post-processing of posterior quantiles 2022. Scientific lecture

Consistent estimation of extreme precipitation and flooding across multiple durations 2022. Scientific lecture

A Bayesian framework to derive consistent intensity-duration-frequency curves from multiple data sources 2022. Scientific lecture

Consistent estimation of extreme precipitation and flooding across multiple durations 2022. Scientific lecture

Potensialet i data 2022. Lecture

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods Quarterly Journal of the Royal Meteorological Society, (ISSN 0035-9009 1477-870X ), doi: https://doi.org/10.1002/qj.4403 , 2022. Scientific article

Vær- og klimaprognoser for framtidas grøntproduksjon 2022. Scientific lecture

Presentasjon av Climate Futures 2022. Scientific lecture

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods 2022. Scientific lecture

A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records Hydrology and Earth System Sciences (HESS), vol. 26, pp. 5391 5410 , (ISSN 1027-5606 1607-7938 ), doi: https://doi.org/10.5194/hess-26-5391-2022 , 2022. Scientific article

Prediction of the time to hard freeze using seasonal weather forecasts and survival time methods 2022. Lecture

Irene Brox Nilsen; Anita Verpe Dyrrdal; Thea Roksvåg; Julia Lutz; Kolbjørn Engeland; Styrtregn og styrtflom: Hvordan kan vi unngå skader? Naturen, (ISSN 0028-0887 1504-3118 ), doi: https://doi.org/10.18261/naturen.146.1.6 , 2022. Science for the public article

Styrtregn og styrtflom: Hvordan kan vi unngå skader? Naturen, vol. 146, pp. 48 55 , (ISSN 0028-0887 1504-3118 ), doi: https://doi.org/10.18261/naturen.146.1.6 , 2022. Scientific article

A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records Hydrology and Earth System Sciences (HESS), vol. 26, pp. 5391 5410 , (ISSN 1027-5606 1607-7938 ), doi: https://doi.org/10.5194/hess-26-5391-2022 , 2022. Scientific article

Consistent Intensity-Duration-Frequency curves by post-processing of estimated Bayesian posterior quantiles 2021. Scientific lecture

A Two-Field Geostatistical Model Combining Point and Areal Observations—A Case Study of Annual Runoff Predictions in the Voss Area Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 70, pp. 934 960 , (ISSN 0035-9254 1467-9876 ), doi: https://doi.org/10.1111/rssc.12492 , 2021. Scientific article

Estimating mean annual runoff by using a geostatistical spatially varying coefficient model that incorporates process-based simulations and short records 2021. Scientific lecture

Consistent intensity-duration-frequency curves by post-processing of estimated Bayesian posterior quantiles Journal of Hydrology, vol. 603, pp. 1 15 , (ISSN 0022-1694 1879-2707 ), doi: https://doi.org/10.1016/j.jhydrol.2021.127000 , 2021. Scientific article

New methods for making consistent IDF curves for Norway 2021. Lecture

Prediksjon av lavvann ved Åbjøra 2021. Report

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; 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), pp. 27 , doi: https://doi.org/10.1111/rssc.12492 , 2021. Scientific article

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Using Bayesian geostatistical models to correct gridded hydrological products relative to the actually observed streamflow 2020. Poster

Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework Hydrology and Earth System Sciences (HESS), vol. 24, pp. 4109 4133 , (ISSN 1027-5606 1607-7938 ), doi: https://doi.org/10.5194/hess-24-4109-2020 , 2020. Scientific article

Thea Roksvåg; Bayesian geostatistical two field models for combining data sources and exploiting short records: Applied to annual runoff interpolation in Norway 2020. Doctor dissertat

Ingelin Steinsland; Thea Roksvåg; Kolbjørn Engeland; A new Bayesian hierarchical geostatistical model based on two spatial fields with case studies with short records of annual runoff in Norway 2020. Scientific lecture

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework Hydrology and Earth System Sciences (HESS), pp. 4109 4133 , doi: https://doi.org/10.5194/hess-24-4109-2020 , 2020. Scientific article

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Prediction of annual runoff by using a Bayesian geostatistical model for combining precipitation gauge observations and runoff observations 2018. Scientific lecture

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Prediction of annual runoff by using a Bayesian geostatistical model for combining precipitation gauge observations and runoff observations 2018. Poster

Jingyi Guo; Thea Roksvåg; Ingelin Steinsland; On combining point and area measurements for a non-stationary spatial model 2017. Poster

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; A Bayesian spatial model for utilising precipitation gauge observations and runoff observations for annual runoff predictions 2017. Lecture

Thea Roksvåg; Kolbjørn Engeland; Ingelin Steinsland; A Bayesian spatial model for utilising precipitation gauge observations and runoff observations for annual runoff predictions 2017. Lecture

Jingyi Guo; Thea Roksvåg; Ingelin Steinsland; On combining point and area measurements for annual runoff predictions - A non-stationary model 2017. Scientific lecture

Thea Roksvåg; Ingelin Steinsland; A Bayesian latent Gaussian spatial model for area and point observations and predictions. 2016. Poster