Data

Here we can add info about which domains and model setups we are using, as well as data availability (e.g. whether it is on ESGF or who to contact in order to get it).

Currently ongoing simulations can be marked in italic. It is becoming increasingly important that the data follow the FAIR principles, and have DOIs to make them more traceable and transparent. A common standard for data is also netCDF following the CF-convention, where the metadata plays an important role. The Arctic Data Centre is an example for how data can be organised and searchable.

Station data for Norway are available from the Frost API but also stored on OpenDAP (thredds) as daily updated netCDF files.

NorCP - Nordic Convection Permitting Climate Projections

Highlights: high-frequency (15-minute) precipitation for studies of extreme precipitation
Collaboration between DMI, FMI, MET Norway & SMHI
Model: HARMONIE-Climate (HCLIM38h1)
Domain and resolution: 3km HCLIM-AROME (red), nested from 12 km HCLIM-ALADIN (blue)
Time periods and boundary data used:
- ERA-Interim: 1997 - 2017
- EC-EARTH: 1985 - 2005, 2040-2060 (RCP4.5, RCP8.5), 2080-2100 (RCP4.5, RCP8.5)
- GFDL-CM3: 1985 - 2005, 2040-2060 (RCP8.5), 2080-2100 (RCP8.5)

Reference: Lind, Petter, et al. "Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model." Climate Dynamics (2022): 1-23.

Data access: Contact Andreas Dobler or Oskar Landgren. (Maybe we will put some on THREDDS later, Andreas?)

Svalbard 2.5 km

Highlights: Multi-decadal convection-permitting climate simulation
Model: HARMONIE-Climate (HCLIM43) with HARMONIE-AROME physics
+ thermodynamic sea ice thickness and snow on sea ice
+ extra SURFEX output for permafrost modelling, including 12 sub-surface temperature levels
Domain and resolution: 2.5 km (red inner nest), 12 km (blue outer domain)
Time periods and boundary data used:
- NorESM2-MM, r1i1p1f1, SSP5-8.5, 1991-2070
- MPI-ESM1-2-LR, r1i1p1f1, SSP5-8.5, 1991-2040 (will run to at least 2070)

Data access: Contact Oskar Landgren

Norwegian, Barents & Kara Seas

Highlights: Downscaled large ensemble for studies of internal climate variability
Model: HARMONIE-Climate (HCLIM38h1.1) with ALARO-0 physics
+ thermodynamic sea ice thickness and snow on sea ice
Domain and resolution: 12 km
Time periods and boundary data used:
- ERA-Interim: 1989-2010
- 18 members from CESM Large Ensemble: 1990-2005, 2026-2035 (RCP8.5), 2071-2080 (RCP8.5)
- 1 member from MPI-ESM-LR: 1990-2005, 2026-2035 (RCP8.5), 2071-2080 (RCP8.5)
- 1 member from NorESM2-MM: 1990-2005, 2026-2035 (SSP585, planned), 2071-2080 (SSP585, planned)

Documentation: Landgren et al. (2019)

Data access: Contact Oskar Landgren

Pan-Arctic (1-year first tests)

Model: HARMONIE-Climate (HCLIM38h1.1) with ALARO or ALADIN physics in a mini-ensemble of 6 configurations:
- ALADIN 12 km, ALADIN 24 km, ALADIN 24 km + thermodynamic sea-ice (Batrak et al. 2018)
- ALARO 12 km, ALARO 24 km, ALARO 24 km + thermodynamic sea-ice (Batrak et al. 2018)
Time periods and boundary data used:
- ERA-Interim: 2013-09-01 to 2014-11-01

Data access: Contact Oskar Landgren

Atlases based on ESD results

R-shiny app presenting multi-model ESD results for the Nordic regions and the Barents region gridded on 8 km resolution and with elevation as covariable. The data are stored in a compressed format described in Benestad et al. (2017) that is useful for dynamic presentations such as R-shiny apps. We have made some 'Heavy MET talks' to present ideas about 'smart' data.

Contact: Rasmus

Data from MET Norway

Obersvations from MET Norway are available from seKlima.met.no, the API frost.met.no, Norsk klimaservicesenter and Arctic Data Centre. The OpenClimateDataPrototype ocdp.met.no can also be used to browse the data. Through the tool esd, it is also possible to read the data straight into R and read from the Frost API. It will also read the seNorge 1-km gridded data and some radar data from MET Norway's thredds server. Station data from Met Norway are also available through OpenDAP thredds.met.no.

Contact: Rasmus

NGCD - Nordic gridded data.

Cristian og Ole Einar @MET-Norway have produced and updated gridded data as part of C3S SURF (https://surfobs.climate.copernicus.eu/), https://surfobs.climate.copernicus.eu/dataaccess/access_ngcd.php. Dataene ligger på thredds:

https://thredds.met.no/thredds/catalog/senorge/catalog.html

All "technical" aspects are documented on Github: https://github.com/metno/ngcd.

Copernicus Climate Change Services (C3S)

Copernicus Climate Data Store (CDS) and Copernicus Climate Change Services (C3S) provides global and regional climate data, and there is a repository at the Earth System Grid Federation (ESGF) webportal for CMIP6 and CORDEX results. In addition to the CDS, the webportal offers a toolbox that allows users designing their own python-based apps to process data from the CDS.