metadata
license: apache-2.0
ACE2-ERA5
Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries.
Disclaimer: ACE models are research tools and should not be used for operational climate predictions.
ACE2-ERA5 is trained on the ERA5 dataset and is described in ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses.
Quick links:
- 📃 Paper
- 💻 Code
- 💬 Docs
- 📂 All Models
Briefly, the strengths of ACE2-ERA5 are:
- accurate atmospheric warming response to combined increase of sea surface temperature and CO2 over last 80 years
- highly accurate atmospheric response to El Niño sea surface temperature variability
- good representation of the geographic distribution of tropical cyclones
- accurate Madden Julian Oscillation variability
- realistic stratospheric polar vortex strength and variability
- exact conservation of global dry air mass and moisture
Some known weaknesses are:
- the individual sensitivities to changing sea surface temperature and CO2 are not entirely realistic
- the medium-range (3-10 day) weather forecast skill is not state of the art
- not expected to generalize accurately for large perturbations of certain inputs (e.g. doubling of CO2)