Update README.md

README.md

@@ -1,14 +1,17 @@
-# ACE2-ERA5
+---
+license: apache-2.0
+---
+# ACE-climSST
 
 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.**
 
-ACE-climSST is the original `ACE' model, as described in [ACE: A fast, skillful learned global atmospheric model for climate prediction](https://arxiv.org/abs/2310.02074).
+ACE-climSST is the original ACE model, as described in [ACE: A fast, skillful learned global atmospheric model for climate prediction](https://arxiv.org/abs/2310.02074).
 It is trained on output from the FV3GFS atmospheric model forced with annually-repeating climatological sea surface temperature.
 
 Code for doing inference with ACE models can be found here: [https://github.com/ai2cm/ace](https://github.com/ai2cm/ace)
-with corresponding documentation here: [https://ai2-climate-emulator.readthedocs.io/en/stable/](https://ai2-climate-emulator.readthedocs.io/en/stable/)
+with corresponding documentation here: [https://ai2-climate-emulator.readthedocs.io/en/stable/](https://ai2-climate-emulator.readthedocs.io/en/stable/).
 
 Briefly, the strengths of ACE-climSST are:
 - long-term stability
@@ -16,7 +19,9 @@ Briefly, the strengths of ACE-climSST are:
 - very fast inference compared to typical physics-based atmospheric models
 
 Some known weaknesses are:
-- responses to more El Niño-like sea surface temperature and long-term warming trends are not accurately captured
+- responses to El Niño-like sea surface temperature and long-term warming trends are not accurately captured
 - small but non-zero drifts in total dry air mass of the atmosphere
 
-Refer to [published manuscript](https://arxiv.org/abs/2310.02074) for more details.
+Refer to [published manuscript](https://arxiv.org/abs/2310.02074) for more details.
+
+Note the checkpoint provided here is the same as the one in [this Zenodo repository](https://zenodo.org/records/10791087), just with the optimizer state removed to decrease the checkpoint size.