the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6
Hector Simon Benavides Pinjosovsky
Sylvie Thiria
Catherine Ottlé
Julien Brajard
Fouad Badran
Pascal Maugis
Related authors
No articles found.
Sea ice forecasts are operationally produced using physically based models, but these forecasts are often not accurate enough for maritime operations. In this study, we developed a statistical correction technique using machine learning in order to improve the skill of short-term (up to 10 d) sea ice concentration forecasts produced by the TOPAZ4 model. This technique allows for the reduction of errors from the TOPAZ4 sea ice concentration forecasts by 41 % on average.
Related subject area
Large volcanic eruptions deposit material in the upper atmosphere, which is capable of altering temperature and wind patterns of Earth's atmosphere for subsequent years. This research describes a new method of simulating these effects in an idealized, efficient atmospheric model. A volcanic eruption of sulfur dioxide is described with a simplified set of physical rules, which eventually cools the planetary surface. This model has been designed as a test bed for climate attribution studies.