EGU24-12738, updated on 25 Mar 2024
https://doi.org/10.5194/egusphere-egu24-12738
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Evaluating the PolarRES regional models using tailor-made climate indices for Arctic reindeer herding communities

Heidrun Matthes1, Jussi T Eronen4, Xavier Fettweis5, Bruce C Forbes3, Ella Gilbert6, Joachim Otto Habeck2, Tim Horstkotte9, Kirill Istomin2, Teresa Komu3, Oskar Landgren12, Jan Landwehrs1, Roza Laptander2, Priscilla Mooney8, Ruth Mottram10, Christiaan van Dalum11, Willem Jan van den Berg11, Sirpa Rasmus3, Annette Rinke1, and Hans Tømmervik7
Heidrun Matthes et al.
  • 1Alfred Wegener Insititut Helmholtz-Zentrum für Polar-und Meeresforschung, Potsdam, Germany
  • 2Universität Hamburg, Hamburg, Germany
  • 3Lapin Yliopisto, Rovaniemi, Finland
  • 4Helsingin Yliopisto, Helsinki, Finland
  • 5Université de Liège, Liège, Belgium
  • 6British Antarctic Survey, Cambridge, UK
  • 7Norsk institutt for naturforskning, Tromsø, Norway
  • 8Norwegian Research Centre, Bergen, Norway
  • 9Umeå universitet, Umeå, Sweden
  • 10Danmarks Meteorologiske Institut, København, Denmark
  • 11Universiteit Utrecht, Utrecht, Netherlands
  • 12Meteorologisk institutt, Oslo, Norway

From a combination of the operational system of reindeer herding and meteorological seasonality, we developed a range of climate indices reflecting critical events in the reindeer herding year that influence the success of this livelihood. These critical events can be described as combinations of specific meteorological conditions, and therefor rendered as equations we can compute from climate model output, creating a capability for analysing different projections of the future and delivering relevant information on climate change to reindeer herding communities.

For this purpose, we can use a wealth of different global and regional climate projections, with distinct advantages and disadvantages (e.g. model resolution, different greenhouse gas futures, high number of models in the ensemble for uncertainty estimates, process representation, availability of variables). For example, the CMIP6 ensemble enables the analysis of a broad range of greenhouse gas futures from a wide variety of models, allowing us to assess scenario uncertainty, but it is limited by its coarse spatial resolution. On the other hand, the PolarRES ensemble has a higher spatial resolution but is only available for one RCP/greenhouse gas future. The PolarRES ensemble consists of regional climate simulations generated by multiple regional climate models that dynamically downscale CMIP6 global climate simulations selected using a novel storyline approach. Both ensembles provide hindcast simulations that allow us to evaluate the ensemble performance with regard to the climate indices we defined.

This study uses these simulations to evaluate and compare model performance to understand the potential and limitations of future projections of specific climate indices relevant for reindeer herding. We use in-situ based observations from the data set Global Summary of the Day to evaluate onset and end of the continuous freezing period, hot summer days, thawing days in autumn and freeze-thaw cycles in both spring and autumn.

How to cite: Matthes, H., Eronen, J. T., Fettweis, X., Forbes, B. C., Gilbert, E., Habeck, J. O., Horstkotte, T., Istomin, K., Komu, T., Landgren, O., Landwehrs, J., Laptander, R., Mooney, P., Mottram, R., van Dalum, C., van den Berg, W. J., Rasmus, S., Rinke, A., and Tømmervik, H.: Evaluating the PolarRES regional models using tailor-made climate indices for Arctic reindeer herding communities, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12738, https://doi.org/10.5194/egusphere-egu24-12738, 2024.