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Thea Roksvåg
Thea Roksvåg
Norsk Regnesentral
在 nr.no 的电子邮件经过验证
标题
引用次数
引用次数
年份
Consistent intensity-duration-frequency curves by post-processing of estimated Bayesian posterior quantiles
T Roksvåg, J Lutz, L Grinde, AV Dyrrdal, TL Thorarinsdottir
Journal of Hydrology 603, 127000, 2021
182021
A two-field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area
T Roksvåg, I Steinsland, K Engeland
Journal of the Royal Statistical Society Series C: Applied Statistics 70 (4 …, 2021
72021
A geostatistical two field model that combines point observations and nested areal observations, and quantifies long-term spatial variability--A case study of annual runoff …
T Roksvåg, I Steinsland, K Engeland
arXiv preprint arXiv:1904.02519, 2019
72019
Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework
T Roksvåg, I Steinsland, K Engeland
Hydrology and Earth System Sciences 24 (8), 4109-4133, 2020
52020
A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
T Roksvåg, I Steinsland, K Engeland
Hydrology and Earth System Sciences 26 (20), 5391-5410, 2022
32022
Estimating mean annual runoff by using a geostatistical spatially varying coefficient model that incorporates process-based simulations and short records
T Roksvåg, I Steinsland, K Engeland
EGU General Assembly Conference Abstracts, EGU21-4233, 2021
22021
A Bayesian Model for Area and Point Predictions-A Case Study of Predictions of Annual Precipitation and Runoff in the Voss Area.
TJT Roksvåg
NTNU, 2016
22016
Areal reduction factors from gridded data products
J Lutz, T Roksvåg, AV Dyrrdal, C Lussana, TL Thorarinsdottir
Journal of Hydrology 635, 131177, 2024
12024
Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods
T Roksvåg, A Lenkoski, M Scheuerer, C Heinrich‐Mertsching, ...
Quarterly Journal of the Royal Meteorological Society 149 (750), 211-230, 2023
12023
Design precipitation-new results for Norway
AV Dyrrdal, J Lutz, T Roksvåg, C Lussana, T Thorarinsdottir, L Grinde, ...
EMS2024, 2024
2024
Estimating consistent rainfall design values for Norway using Bayesian inference and post-processing of posterior quantiles
J Lutz, L Grinde, AV Dyrrdal, T Roksvåg, TL Thorarinsdottir
EMS2022, 2022
2022
A Bayesian framework to derive consistent intensity-duration-frequency curves from multiple data sources
T Thorarinsdottir, T Roksvåg, J Lutz, L Grinde, A Dyrrdal
EGU General Assembly Conference Abstracts, EGU22-7181, 2022
2022
New runoffmap for Norway by combining a precipitation runoff model with geostatistical interpolation
K Engeland, T Roksvåg, S Beldring, E Holmqvist, AI Pedersen, G Ruan
IAHS2022, 2022
2022
Styrtregn og styrtflom: Hvordan kan vi unngå skader?
IB Nilsen, AV Dyrrdal, T Roksvåg, J Lutz, K Engeland
Naturen, 48-55, 2022
2022
A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
T Roksvåg, I Steinsland, K Engeland
Hydrology and Earth System Sciences Discussions 2021, 1-35, 2021
2021
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 …
T Roksvåg, I Steinsland, K Engeland
Wiley, 2021
2021
A new Bayesian hierarchical geostatistical model based on two spatial fields with case studies with short records of annual runoff in Norway
I Steinsland, T Roksvåg, K Engeland
EGU General Assembly Conference Abstracts, 11781, 2020
2020
Using Bayesian geostatistical models to correct gridded hydrological products relative to the actually observed streamflow
T Roksvåg, I Steinsland, K Engeland
EGU General Assembly Conference Abstracts, 13655, 2020
2020
Bayesian geostatistical two field models for combining data sources and exploiting short records: Applied to annual runoff interpolation in Norway
TJT Roksvåg
NTNU, 2020
2020
A geostatistical framework for estimating flow indices by exploiting short records and long-term spatial averages-Application to annual and monthly runoff
T Roksvåg, I Steinsland, K Engeland
Hydrology and Earth System Sciences Discussions 2019, 1-35, 2019
2019
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