Bayesian geostatistical two field models for combining data sources and exploiting short records: Applied to annual runoff interpolation in Norway
Doctoral thesis
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https://hdl.handle.net/11250/2676482Utgivelsesdato
2020Metadata
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Paper A: Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. 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 predictions in the Voss area. arXiv.org 2020Paper B: 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 2020 ;Volum 24. s. 4109-4133 https://doi.org/10.5194/hess-24-4109-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License (CC BY 4.0)
Paper C: Roksvåg, Thea; Steinsland, Ingelin; Engeland, Kolbjørn. A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
Paper D: Roksvåg, Thea. An overview of a geostatistical two field model for interpolation of environmental variables