Spencer Clark
commited on
Commit
β’
6757374
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Parent(s):
fb025b7
Add initial condition and forcing data for 1xCO2 and 3xCO2
Browse files- .gitattributes +1 -0
- README.md +4 -6
- forcing_data/1xCO2/forcing_2032.nc +3 -0
- forcing_data/1xCO2/forcing_2033.nc +3 -0
- forcing_data/1xCO2/forcing_2034.nc +3 -0
- forcing_data/1xCO2/forcing_2035.nc +3 -0
- forcing_data/3xCO2/forcing_2032.nc +3 -0
- forcing_data/3xCO2/forcing_2033.nc +3 -0
- forcing_data/3xCO2/forcing_2034.nc +3 -0
- forcing_data/3xCO2/forcing_2035.nc +3 -0
- inference_config.yaml +23 -0
- initial_conditions/1xCO2/ic.nc +3 -0
- initial_conditions/3xCO2/ic.nc +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.nc filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -10,19 +10,17 @@ Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheri
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**Disclaimer: ACE models are research tools and should not be used for operational climate predictions.**
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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 mode, called a slab ocean model, 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.
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Quick links:
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- π [Paper (
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- π» [Code](https://github.com/ai2cm/ace)
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- π¬ [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
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- π [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
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Briefly, the strengths of ACE2-SOM are:
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- accurate emulation equilibrium climates with CO2 concentrations ranging from
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- changes in precipitation extremes between climates
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- realistic emulation non-stratospheric fields with gradually changing CO2 concentration between the present-day and four times the present-day concentration.
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Some known weaknesses are:
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- 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.
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**Disclaimer: ACE models are research tools and should not be used for operational climate predictions.**
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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 mode, 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).
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Quick links:
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- π [Paper (pre-print coming soon)]()
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- π» [Code](https://github.com/ai2cm/ace)
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- π¬ [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
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- π [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
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Briefly, the strengths of ACE2-SOM are:
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- accurate emulation of equilibrium climates with CO2 concentrations ranging from 1xCO2 to 4xCO2, including changes in the spatial patterns of temperature and precipitation, and changes in precipitation extremes between climates
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- realistic emulation of surface and lower-to-middle atmosphere fields with gradually changing CO2 concentration between 1xCO2 and 4xCO2.
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Some known weaknesses are:
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- 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.
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forcing_data/1xCO2/forcing_2032.nc
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forcing_data/1xCO2/forcing_2033.nc
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forcing_data/1xCO2/forcing_2034.nc
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forcing_data/1xCO2/forcing_2035.nc
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forcing_data/3xCO2/forcing_2032.nc
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forcing_data/3xCO2/forcing_2033.nc
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forcing_data/3xCO2/forcing_2034.nc
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forcing_data/3xCO2/forcing_2035.nc
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version https://git-lfs.github.com/spec/v1
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inference_config.yaml
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experiment_dir: /output_directory
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n_forward_steps: 400
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forward_steps_in_memory: 50
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checkpoint_path: /ace2_som_ckpt.tar
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logging:
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log_to_screen: true
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log_to_wandb: false
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log_to_file: true
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project: ace
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initial_condition:
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path: /initial_conditions/1xCO2/ic.nc
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start_indices:
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times:
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- "2032-01-01T00:00:00"
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forcing_loader:
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dataset:
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data_path: /forcing_data/1xCO2
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n_repeats: 1 # Use this to extend the four years of forcing data to the desired length
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num_data_workers: 4
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data_writer:
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save_prediction_files: true
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save_monthly_files: false
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names: ["TMP2m", "VGRD10m", "PRATEsfc"]
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initial_conditions/1xCO2/ic.nc
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version https://git-lfs.github.com/spec/v1
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size 9959599
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initial_conditions/3xCO2/ic.nc
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version https://git-lfs.github.com/spec/v1
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size 9959599
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