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c:/dev/skygeo/src/iso2stac/stac_output_dynamic/collection-norwegian_water_resources_and_energy_directorate/collection.json
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Selv om regionale klimaframskrivninger fra Euro-CORDEX (oppløsning ca 12 x 12 km) er nedskalert og biasjustert,til 1 x 1 km, klarer ikke metoden å rette opp at grunnlagsdataene har grov oppløsning. Artefakter forekommer.

I korte trekk er en empirisk kvantilmappingsmetode (EQM) brukt for å bias-justere Euro-CORDEX simuleringer til Norge, ved først å re-gridde til 1 x 1 km og ved å bias-justere mot SeNorge versjon 1.1 som observerte data, for hver kalendermåned og gridcelle.
Se for øvrig vedlagt dokumentasjon (Wong et al., 2016).
Meteorologiske geografiske forhold Felles datakatalog Vær og klima Norge klimagrid klima temperatur minimumstemperatur klimaframskrivninger National climatologyMeteorologyAtmosphere
Mean minimum temperature (lowest temperature over a 24-hour period at 2 m height) is shown as seasonal and annual values for 30-year means: 1971–2000, 2031–2060 og 2071–2100. The projection periods show changes relative to the reference period (projection period vs 1971–2000). Projected minimum temperature are computed by the Norwegian Water Resources and Energy Directorate (NVE) in collaboration with the Norwegian Centre for Climate Services (NCCS). The results are documented in the report Climate in Norway 2100 (Hanssen-Bauer et al., 2017), available at  https://klimaservicesenter.no/kss/rapporter/kin-2100.  

The maps are presented as 30-year means for three periods: 1971–2000, 2031–2060 og 2071–2100. Annual and seasonal values (spring, summer, autumn, winter) are available. The reference period shows absolute values for the period 1971–2000, whereas the two projection periods, 2031–2060 and 2071–2100, show changes relative to the reference period (e.g. the mean of 2071–2100 minus the mean of 1971–2000). The future periods show projected changes at an intermediate emission scenario, RCP4.5 and a high emission scenario, RCP8.5.

Outputs of global or regional climate models (GCM/RCMs) are often flawed with systematic biases despite recent progress in climate modelling. Modelling results can be very different from observations, and this can hamper their direct use in climate impact studies. Moreover, impact models often require data of higher spatial resolution than climate models usually can provide. A post-processing of GCM/RCM outputs is therefore necessary to obtain plausible time series at an appropriate scale for use in local impact studies. The method is described in detail in Wong et al. (2016). In short, an empirical quantile mapping method (EQM) has been used to bias-correct and downscale Euro-CORDEX simulations to Norweay, first by re-gridding to 1 x 1 km and then by bias-adjusting against SeNorge version 1.1 as observed data.

References:
Hanssen-Bauer,I., E.J.Førland, I.Haddeland, H.Hisdal, S.Mayer, A.Nesje, J.E.Ø.Nilsen, S.Sandven, A.B.Sandø, A.Sorteberg og B.Ådlandsvik, 2017: Climate in Norway 2100 – – a knowledge base for climate adaptation. Norwegian Centre for Climate Services, NCCS Report 1/2017 48pp. ISSN: 2387-3027
https://klimaservicesenter.no/kss/rapporter/kin-2100

Wong, W., Haddeland, I., Lawrence, D., and Beldring, S. (2016). Gridded 1x1 km climate and hydrological projections for Norway. NVE Report No. 59, Norwegian Water Resources and Energy Directorate, Oslo, Norway.
https://publikasjoner.nve.no/rapport/2016/rapport2016_59.pdf
Klima - Minimum temperature