Erik Nilsson

Researcher at Department of Earth Sciences, Program for Air, Water and Landscape Sciences; Meteorology

Email:
erik.nilsson[AT-sign]met.uu.se
Visiting address:
Geocentrum, Villavägen 16
752 36 Uppsala
Postal address:
Villavägen 16
752 36 UPPSALA

Short presentation

Researcher in meteorology. My research is focused on air-sea interaction, wind energy, wave energy and processes influencing atmospheric turbulence. Focus is on turbulent exchanges of momentum, heat, humidity and other scalars.

Research:

AWEP: www.geo.uu.se/research/luval/disciplines/Meteorology/ongoing-research/air-water-exchange/

ICOS: https://www.icos-sweden.se/Ostergarnsholm

CNDS: https://www.cnds.se/

BLLAST: http://bllast.sedoo.fr/

MachineOcean: https://machineocean.met.no/

Erik Nilsson received a M. Sc. degree in Physics from Uppsala University, Uppsala, Sweden in 2008, and a Ph.D. degree in Meteorology in 2013, also from Uppsala University. He developed his academic career across Europe by working as a Postdoc within the Boundary-Layer Late Afternoon and Sunset Turbulence (BLLAST) project. His research focuses on studies of air-sea interaction and boundary layers using both measurements and numerical modeling, ranging from turbulence resolving to regional climate models. He currently work as a researcher at the Department of Earth Sciences, Uppsala University since 2015.

Studies have shown that surface gravity waves can have a significant impact on both turbulence and gradients in the marine atmospheric boundary layer (MABL). Since a large part of the surface of the earth is covered by oceans these processes have an important role in the total exchange of momentum, heat and other scalars such as carbon dioxide and water vapour.

In my research I study processes in the atmospheric boundary layer by analysing measurements and by using a high resolution numerical model that resolves the large-scale turbulent motion that contain most of the energy and anisotropy, but models the effects of the smaller-scale motions. This type of modelling is referred to as Large-Eddy Simulation (LES). Detailed studies of these processes can eventually lead us towards new parameterizations that can be used in Climate- and Weather forecast models.

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Erik Nilsson