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+# ClimateAI: Climate Intelligence Framework
+
+<p align="left">
+    📑 <a href="https://huggingface.co/papers/yyyy.yyyyy" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://climateai.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/WeatherML/climateai-67b123e28fd926b56a4f55a2" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/weatherml-research/ClimateAI-DataSync" target="_blank">Repo</a> 
+
+This is the resource page of our resources collection on Huggingface, we highlight your current position with a blue block.
+
+**Dataset**
+<table>
+      <tr>
+        <th>Dataset</th>
+        <th>Link</th>
+    </tr>
+      <tr>
+        <td>ClimateAI-ERA5-Downscale</td>
+        <td style="background-color: #e6f3ff; text-align: center; vertical-align: middle;">
+          <a href="https://huggingface.co/datasets/WeatherML/ClimateAI-ERA5-Downscale">🤗</a>
+        </td>
+    </tr>
+</table>
+Please also check the raw data after our processing if you are interested: [WeatherML/ClimateAI-ERA5-Raw](https://huggingface.co/datasets/WeatherML/ClimateAI-ERA5-Raw).
+
+**Models**
+<table>
+    <tr>
+        <th rowspan="2">Base Model / Training</th>
+        <th colspan="2">ClimateAI</th>
+        <th colspan="2">ClimateAI++</th>
+    </tr>
+    <tr>
+        <th>Stage 1</th>
+        <th>Stage 2</th>
+        <th>Stage 1</th>
+        <th>Stage 2</th>
+    </tr>
+    <tr>
+        <td>Pangu-Weather Base</td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/pangu-climate_stage1">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/pangu-climate">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/pangu-climate_pp_stage1">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/pangu-climate_pp">🤗</a></td>
+    </tr>
+    <tr>
+        <td>GraphCast 1deg</td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/graphcast-1deg_stage1">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/graphcast-1deg">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/graphcast-1deg_pp_stage1">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/graphcast-1deg_pp">🤗</a></td>
+    </tr>
+    <tr>
+        <td>FourCastNet v2</td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/fourcastnet-v2_stage1">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/fourcastnet-v2">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/fourcastnet-v2_pp_stage1">🤗</a></td>
+        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/WeatherML/fourcastnet-v2_pp">🤗</a></td>
+    </tr>
+</table>
+
+**Introduction**
+
+While having high-resolution climate reanalysis data theoretically enables accurate weather predictions, two challenges arise: 1) The computational cost of running full physics simulations at high resolution is prohibitive; 2) Traditional numerical weather prediction models are constrained by simplified parameterizations and lack the adaptability of ML-based approaches. Thus, we adopt a fully transformer-based approach for downscaling climate data using Pangu-Weather architecture, as it has demonstrated state-of-the-art performance on medium-range forecasting while being computationally efficient.
+
+*Due to data licensing constraints from ECMWF, we only release the ERA5-Downscale subset (this page) of the full dataset.
+
+
+**License**
+
+The license for this dataset is CC-BY-NC-SA-4.0.