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ACE2-SOM

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spencerkclark commited on 28 days ago

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Update README with pre-print link (#3)

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- Add pre-print link, fix typo (5bfd5dd7d88c687039452e9ff845019b218062d3)

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@@ -13,7 +13,7 @@ Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheri
 ACE2-SOM is the first model we have trained to emulate the sensitivity of climate to substantial increases in carbon dioxide.  It consists of ACE2 coupled to a highly simplified physics-based ocean model, called a slab ocean model (SOM), and is trained on equilibrium-climate output from GFDL's SHiELD model coupled to an identical slab ocean with carbon dioxide concentrations of the present-day, double the present-day, and quadruple the present-day (1xCO2, 2xCO2, and 4xCO2).
 Quick links:
-- 📃 [Paper (pre-print coming soon)]()
 - 💻 [Code](https://github.com/ai2cm/ace)
 - 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
 - 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
@@ -23,7 +23,7 @@ Briefly, the strengths of ACE2-SOM are:
 - realistic emulation of surface and lower-to-middle atmosphere fields with gradually changing CO2 concentration between 1xCO2 and 4xCO2.
 Some known weaknesses are:
-- Sea-ice coverage, ocean heat transport, and ocean mixed layer depth are prescribed based on a present-day climatologies and therefore do not respond to changes in CO2.  Presribed sea-ice in particular means projections with ACE2-SOM are missing an important feedback mechanism known to amplify warming in the polar regions.
 - Abrupt regime shifts in stratospheric temperature and moisture can occur in inference runs with changing CO2 concentration.
 - Adjustment to an abrupt change in CO2 concentration occurs too quickly, violating energy conservation.
 - Sensitivities of the surface and top of atmosphere radiative fluxes to changes in CO2 with the atmospheric state held fixed are not always realistic.

 ACE2-SOM is the first model we have trained to emulate the sensitivity of climate to substantial increases in carbon dioxide.  It consists of ACE2 coupled to a highly simplified physics-based ocean model, called a slab ocean model (SOM), and is trained on equilibrium-climate output from GFDL's SHiELD model coupled to an identical slab ocean with carbon dioxide concentrations of the present-day, double the present-day, and quadruple the present-day (1xCO2, 2xCO2, and 4xCO2).
 Quick links:
+- 📃 [Paper](https://arxiv.org/abs/2412.04418)
 - 💻 [Code](https://github.com/ai2cm/ace)
 - 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
 - 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
 - realistic emulation of surface and lower-to-middle atmosphere fields with gradually changing CO2 concentration between 1xCO2 and 4xCO2.
 Some known weaknesses are:
+- Sea-ice coverage, ocean heat transport, and ocean mixed layer depth are prescribed based on a present-day climatologies and therefore do not respond to changes in CO2.  Prescribed sea-ice in particular means projections with ACE2-SOM are missing an important feedback mechanism known to amplify warming in the polar regions.
 - Abrupt regime shifts in stratospheric temperature and moisture can occur in inference runs with changing CO2 concentration.
 - Adjustment to an abrupt change in CO2 concentration occurs too quickly, violating energy conservation.
 - Sensitivities of the surface and top of atmosphere radiative fluxes to changes in CO2 with the atmospheric state held fixed are not always realistic.