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Upstream bias correction and hybrid downscaling of GCM data for climate projections in Norway

Upstream bias correction and hybrid downscaling of GCM data for climate projections in Norway

The main objectives are:

  • To find the most optimal bias correction method for Norway. Two methods are briefly

    mentioned in the introduction, both with issues affecting their aptness for Norway

  • To expand the ensemble size of R3 climate projections

    The first objective will be addressed by testing the behaviour of the Weather Research and Forecasting (WRF) model in the present climate. The second objective will be attained by applying the best of the two previously mentioned hybrid downscaling methods.

    I aim to investigate:

  • How do the two main bias correction methods compare, and what are their respective

    strengths and limitations in the Norwegian area?

  • The realism of the midlatitude storm track in WRF when driven by GCM data that has been

    bias corrected using method #2. Will the regional model, given a sufficient domain size, be able to reproduce realistic storm tracks? If so, what is the sufficient size and which cyclogenesis areas should be included in the model domains?

  • Hybrid approaches to expand the ensemble size for Norwegian climate projections.

Project facts

Name

Upstream bias correction and hybrid downscaling of GCM data for climate projections in Norway

Status

CONCLUDED

Duration

01.01.17 - 31.12.18

Research group

Funding

Research Council of Norway (RCN)

Project members