Update Aurora licence to MIT (#4201)

* Update licence

* Add notice

* Remove newlines

* Add missing mailto

Author: wesselb

assets/models/system/aurora/description.md

@@ -6,6 +6,11 @@ one for medium-resolution weather prediction,
 one for high-resolution weather prediction,
 one for air pollution prediction,
 and one for ocean wave prediction.
-Currently, this implementation only includes the version for medium-term weather prediction.
-Please see the documentation of the Aurora Foundry Python API linked below for
-precisely which models are available.
+Please see the documentation of the
+[Aurora Foundry Python API](https://microsoft.github.io/aurora/foundry/intro.html).
+
+Please email [AIWeatherClimate@microsoft.com](mailto:AIWeatherClimate@microsoft.com)
+if you are interested in using Aurora for commercial applications.
+For research-related questions or technical support with the open-source version of the model,
+please [open an issue in the GitHub repository](https://github.com/microsoft/aurora/issues/new/choose)
+or reach out to the authors of the paper.

assets/models/system/aurora/notes.md

@@ -44,8 +44,7 @@ for pred in submit(
 
 ## License
 
-This model and the associated model weights are released under the license [CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0).
-This means that you are free to share and adapt the material for non-commercial purposes, as long as you provide appropriate credit, indicate if changes were made, and distribute your contributions under the same license.
+This model and the associated model weights are released under the [MIT licence](https://spdx.org/licenses/MIT).
 
 ## Security
 
@@ -75,7 +74,7 @@ A series of additional verification tests are needed before it can become operat
 
 The models included in the code have been trained on a variety of publicly available data.
 A description of all data, including download links, can be found in [Supplementary C of the paper](https://arxiv.org/pdf/2405.13063).
-The checkpoints include data from ERA5, CMCC, IFS-HR, HRES T0, GFS T0 analysis, and GFS forecasts.
+The checkpoints include data from ERA5, CMCC, IFS-HR, HRES T0, GFS T0, and GFS forecasts.
 
 ## Trademarks
 

assets/models/system/aurora/spec.yaml

@@ -14,7 +14,8 @@ tags:
   Preview: ""
   Featured: ""  
   author: Microsoft
-  license: cc-by-nc-sa-4.0
+  license: MIT
+  licenseDescription: "Microsoft.\nCopyright (c) Microsoft Corporation.\n\nMIT License\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."
   hiddenlayerscanned: "true"
   notes: "notes.md"
   evaluation: "evaluation.md"
@@ -29,7 +30,6 @@ tags:
   summary: "Aurora is a machine learning model that can predict general environmental variables."
   inputModalities: "data"
   outputModalities: "data"
-  licenseDescription: "This model and the associated model weights are released under the license CC-BY-NC-SA-4.0 <https://spdx.org/licenses/CC-BY-NC-SA-4.0>. This means that you are free to share and adapt the material for non-commercial purposes, as long as you provide appropriate credit, indicate if changes were made, and distribute your contributions under the same license."
   freePlayground: "false"
   # playgroundRateLimitTier:  "low"