Hindcasting
Hindcasting er en proces til at teste computermodeller (fx klimaændringsmodeller) ved at have dem sammenlignet med de faktiske historiske observationer for at bestemme, hvor godt modellerne matchede historisk rekord. En model, der fejler historiskt, vil ikke producere realistiske modeller, så det kræver at parametrene ændres, så de passer bedre til observationerne. Hvis modellen matcher de observerede temperaturregistre, betyder det, at den svarer til observationerne og derfor er mere pålidelig.
This project (EDU-ARCTIC) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 710240. The content of the website is the sole responsibility of the Consortium and it does not represent the opinion of the European Commission, and the Commission is not responsible for any use that might be made of information contained.