Stochastic spatio-temporal model for wind speed variation in the Arctic
Journal article, 2018
In this study, these models are further developed and validated to properly describe the variation of wind speeds in the Arctic area. In most locations, the transformed Gaussian field is a sufficiently accurate model. However, in some regions, e.g., the Laptev and Beaufort Seas, this model severely underestimates the frequencies of extreme wind speeds. Therefore, the hybrid model is further improved to add Poisson distributed random storm events to describe the wind variation in these regions, and is named as the Poisson hybrid model. There are also locations, e.g., along the east coast of Greenland, where the frequencies of high wind speeds are severely overestimated by the transformed Gaussian model. It is shown that this model can be used to estimate the long-term distribution of wind speeds, predict extreme wind speeds and simulate the spatio-temporal wind fields for practical applications.
Spatio-temporal wind statistics
Poisson hybrid model
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
0029-8018 (ISSN)Vol. 165 1 237-251
Modeling environmental loads and structural responses
Swedish Research Council (VR) (2012-6004), 2012-01-01 -- 2015-12-31.
Explore innovative solutions for arctic shipping
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT) (Dnr:CH2016-6673), 2017-05-01 -- 2020-06-30.
Areas of Advance
Information and Communication Technology
Oceanography, Hydrology, Water Resources
Probability Theory and Statistics