EGU2020-13725
https://doi.org/10.5194/egusphere-egu2020-13725
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Observations and simulations from an arctic fjord and valley environment in Svalbard

Marius Opsanger Jonassen1,2, Siiri Wickström1,2, John Cassano3, Timo Vihma1,4, Thomas Spengler2, Stephan Kral2, Lukas Frank1,5, Joachim Reuder2, Teresa Valkonen6, Marvin Kähnert2, and Jørn Kristiansen6
Marius Opsanger Jonassen et al.
  • 1Department of Arctic Geophysics, The University Centre in Svalbard, Longyearbyen, Norway
  • 2Geophysical Institute, University of Bergen, Bergen, Norway
  • 3Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
  • 4Finnish Meteorological Institute, Helsinki, Finland
  • 5Meteorological Institute, University of Hamburg, Hamburg, Germany
  • 6Norwegian Meteorological Institute, Oslo, Norway

We present results from a set of field campaigns conducted in an arctic valley and fjord environment in central Spitsbergen, Svalbard. These field campaigns, which are conducted as part of a graduate class at the University Centre in Svalbard (UNIS), address a range of phenomena typical for the arctic atmospheric boundary layer using both observational and numerical means. These phenomena include low-level jets, cold pools, drainage flows, and air-sea interactions, several of which typically are challenging to accurately model. On the observational side, we utilise a range of sensors and instrumentation platforms, such as portable weather stations, a tethersonde (anchored weather balloon), small temperature sensors (TinyTags), sonic anemometers, automatic weather stations, and drones. As of this year, the sensor suite will also constitute a wind lidar and a microwave temperature profiler. The resulting datasets represent a unique model-independent data set from a region where observations are otherwise sparse. On the numerical side, we utilise data from the high-resolution (2.5 km horizontal grid spacing) AROME-Arctic weather prediction model. AROME Arctic is run operationally by the Norwegian Meteorological Institute (MET Norway) for a domain covering Northern Fennoscandia, larger parts of the Barents Sea, and Svalbard. We use the model data both to plan our fieldwork and for interpreting our observations. In turn, we use the observations for improving our understanding of the mentioned phenomena and also for validating the model.

How to cite: Jonassen, M. O., Wickström, S., Cassano, J., Vihma, T., Spengler, T., Kral, S., Frank, L., Reuder, J., Valkonen, T., Kähnert, M., and Kristiansen, J.: Observations and simulations from an arctic fjord and valley environment in Svalbard, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13725, https://doi.org/10.5194/egusphere-egu2020-13725, 2020

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