update readme

README.md

@@ -6,7 +6,7 @@ license: apache-2.0
 
 # HiRO-ACE
 
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+The HiRO-ACE framework enables efficient generation of 3 km precipitation fields over decades of simulated climate and arbitrary regions of the globe.
 HiRO (High Resolution Output) is a diffusion model which generates downscaled fields at 3 km resolution from 100 km resolution inputs. The HiRO checkpoint included in this model generates 6-hourly averaged surface precipitation rates at 3 km resolution. The Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries. For usage with the HiRO downscaling model, we include a checkpoint for ACE2S. Compared to previous ACE models, ACE2S uses an updated training procedure and can generate stochastic predictions. For more details, please see the accompanying HiRO-ACE paper linked below.
 
 ### Quick links
@@ -14,7 +14,7 @@ HiRO (High Resolution Output) is a diffusion model which generates downscaled fi
 - 📃 [Paper](https://arxiv.org/pdf/2512.18224)
 - 💻 [Code](https://github.com/ai2cm/ace)
 - 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
-- 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
+- 📂 [All ACE Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
 
 
 ### Inference quickstart
@@ -29,3 +29,7 @@ HiRO (High Resolution Output) is a diffusion model which generates downscaled fi
 
 5. Update paths in the `downscaling_config.yaml`. Specifically, update `experiment_dir`, `model.checkpoint_path`, and `data.coarse`. `data.coarse` data path(s) should point to the saved ACE inference output from step 4. 
 
+
+### Strengths and weaknesses
+
+<!-- will leave to Andre and Troy to decide what to list here -->