Modelling groups
Here we can add information about the different groups performing downscaling over Norway
MET Norway
Dynamical downscaling
MET Norway performs dynamical downscaling using HARMONIE Climate (HCLIM) as well as COSMO-CLM. HCLIM is developed in collaboration with colleagues at AEMET, DMI, FMI, KNMI, Met Eireann and SMHI. There are also close ties with the numerical weather prediction groups in each country.
The domains of the simulation produced at MET Norway are showed in the figure on the left.
Contacts: Andreas Dobler, Oskar Landgren, Jan Erik Haugen.
Empirical-statistical downscaling (ESD) is a complementary downscaling technique to dynamical downscaling (DD) with nested regional climate models (RCMs). It makes use of a different and independent source of information embedded in observational data and has many similarities with artificial intelligence. Furthermore, ESD requires little computational resources and is well-suited for downscaling large multi-model ensembles of global climate models (GCMs).
Contact: Rasmus Benestad, Abdelkader Mezghani, Kajsa M. Parding.
CICERO
CICERO performs dynamical downscaling in several projects using the Weather Research and Forecasting (WRF) model, mainly developed by NCAR in the US. In some projects we also use a version of the model that includes chemistry (WRF-Chem), e.g. to study the influence of emissions of gases and aerosols on air pollution levels. The downscaling is typically performed using boundary conditions from reanalysis data or from GCMs that are part of the Coupled Model Intercomparison Project phase 5 or 6 (CMIP5/CMIP6).
Some of the focus regions for past and ongoing projects are given in the figure on the left.
Contact: Øivind Hodnebrog