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license: apache-2.0 |
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# ACE2-ERA5 |
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Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries. |
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**Disclaimer: ACE models are research tools and should not be used for operational climate predictions.** |
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ACE2-ERA5 is trained on the [ERA5 dataset](https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803) and will be described in a forthcoming paper. |
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Code for doing inference with ACE models can be found here: [https://github.com/ai2cm/ace](https://github.com/ai2cm/ace) |
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with corresponding documentation here: [https://ai2-climate-emulator.readthedocs.io/en/stable/](https://ai2-climate-emulator.readthedocs.io/en/stable/) |
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Briefly, the strengths of ACE2-ERA5 are: |
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- accurate atmospheric warming response to combined increase of sea surface temperature and CO2 over last 80 years |
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- highly accurate atmospheric response to El Niño sea surface temperature variability |
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- good representation of geographic distribution of tropical cyclones |
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- accurate Madden Julian Oscillation variability |
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- realistic stratospheric polar vortex strength and variability |
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- exact conservation of global dry air mass and moisture |
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Some known weaknesses are: |
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- the individual sensitivities to increased sea surface temperature and CO2 are not entirely realistic |
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- the medium-range (3-10 day) weather forecast skill is not state of the art |
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- not expected to generalize accurately for large perturbations of inputs (e.g. doubling of CO2) |
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