Cristin-person-ID: 811758
Person

Thea Roksvåg

  • Stilling:
    Forsker
    ved Statistisk analyse, maskinlæring og bildeanalyse SAMBA ved Norsk Regnesentral

Resultater Resultater

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

Lutz, Julia; Grinde, Lars; Dyrrdal, Anita Verpe; Roksvåg, Thea; Thorarinsdottir, Thordis Linda. 2022, EMS Annual Meeting 2022, EMS2022-85. NR, METVitenskapelig foredrag

Potensialet i data .

Thorarinsdottir, Thordis Linda; Solberg, Rune; Lenkoski, Alex; Roksvåg, Thea. 2022, NFR og KLD frokostmøte: Data og datadeling . NRFaglig foredrag

Consistent estimation of extreme precipitation and flooding across multiple durations .

Thorarinsdottir, Thordis Linda; Roksvåg, Thea; Engeland, Kolbjørn; Barna, Danielle; Xu, Chong-Yu; Lutz, Julia; Dyrrdal, Anita Verpe; Grinde, Lars. 2022, Workshop on Extremal Trends in Weather (WET Weather). NR, UIO, METVitenskapelig foredrag

Consistent estimation of extreme precipitation and flooding across multiple durations.

Thorarinsdottir, Thordis Linda; Barna, Danielle; Roksvåg, Thea; Engeland, Kolbjørn; Xu, Chong-Yu; Lutz, Julia; Dyrrdal, Anita Verpe; Grinde, Lars. 2022, BIRS Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes. NR, UIO, METVitenskapelig foredrag

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

Thorarinsdottir, Thordis Linda; Roksvåg, Thea; Lutz, Julia; Grinde, Lars; Dyrrdal, Anita Verpe. 2022, EGU General Assembly 2022. NR, METVitenskapelig foredrag
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