Merge pull request #23 from mattsl21/main

Ref changes

Author: nmathewa

CITATION.cff

@@ -12,46 +12,7 @@ authors:
     orcid: https://orcid.org/0009-0008-5746-6246 
     website: https://github.com/nmathewa
     affiliation: Florida Institute of Technology (FL)
-  - family-names: Rose
-    given-names: Brian E. J.
-    orcid: https://orcid.org/0000-0002-9961-3821 # optional
-    website: https://github.com/brian-rose # optional
-    affiliation: University at Albany (State University of New York) # optional
-  - family-names: Kent
-    given-names: Julia
-    orcid: https://orcid.org/0000-0002-5611-8986
-    website: https://github.com/jukent
-    affiliation: UCAR/NCAR
-  - family-names: Tyle
-    given-names: Kevin
-    orcid: https://orcid.org/0000-0001-5249-9665
-    website: https://github.com/ktyle
-    affiliation: University at Albany (State University of New York)
-  - family-names: Clyne
-    given-names: John
-    orcid: https://orcid.org/0000-0003-2788-9017
-    website: https://github.com/clyne
-    affiliation: UCAR/NCAR
-  - family-names: Camron
-    given-names: Drew
-    orcid: https://orcid.org/0000-0001-7246-6502
-    website: https://github.com/dcamron
-    affiliation: UCAR/Unidata
-  - family-names: Grover
-    given-names: Maxwell
-    orcid: https://orcid.org/0000-0002-0370-8974
-    website: https://github.com/mgrover1
-    affiliation: Argonne National Laboratory
-  - family-names: Ford
-    given-names: Robert R.
-    orcid: https://orcid.org/0000-0001-5483-4965
-    website: https://github.com/r-ford
-    affiliation: University at Albany (State University of New York)
-  - family-names: Paul
-    given-names: Kevin
-    orcid: https://orcid.org/0000-0001-8155-8038
-    website: https://github.com/kmpaul
-    affiliation: NVIDIA
+
 
   - name: "Cookbook Template contributors" # use the 'name' field to acknowledge organizations
     website: "https://github.com/ProjectPythia/cookbook-template/graphs/contributors"

README.md

@@ -16,7 +16,7 @@ Here, you will learn how to run a simple AI model to predict hurricane intensity
 
 ## Authors
 
-[First Author](https://github.com/first-author1), [Second Author](https://github.com/second-author2), etc. _Acknowledge primary content authors here_
+[Nirmal Alex](https://github.com/nmathewa), [Matthew Lynne](https://github.com/mattsl21), etc. _Acknowledge primary content authors here_
 
 ### Contributors
 

myst.yml

@@ -6,7 +6,7 @@ project:
   title: Machine Learning Hurricane Intensity Prediction Cookbook
   github: https://github.com/ProjectPythia/ml-hurricane-intensity
   authors:
-    - name: The Project Pythia Community
+    - name: Nirmal Alex, Matthew Lynne
   copyright: '2024'
   toc:
     - file: README.md

notebooks/era5_preprocessing.ipynb

@@ -58,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,11 +93,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see:\nhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\nhttps://docs.xarray.dev/en/stable/user-guide/io.html",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m input_dsets \u001b[38;5;241m=\u001b[39m \u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../test_folder/final_proc_5yr_6h.nc\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/xarray/backends/api.py:668\u001b[0m, in \u001b[0;36mopen_dataset\u001b[0;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m    665\u001b[0m     kwargs\u001b[38;5;241m.\u001b[39mupdate(backend_kwargs)\n\u001b[1;32m    667\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m engine \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 668\u001b[0m     engine \u001b[38;5;241m=\u001b[39m \u001b[43mplugins\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mguess_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    670\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m from_array_kwargs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    671\u001b[0m     from_array_kwargs \u001b[38;5;241m=\u001b[39m {}\n",
+      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/xarray/backends/plugins.py:194\u001b[0m, in \u001b[0;36mguess_engine\u001b[0;34m(store_spec)\u001b[0m\n\u001b[1;32m    186\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    187\u001b[0m     error_msg \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    188\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfound the following matches with the input file in xarray\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms IO \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    189\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbackends: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcompatible_engines\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. But their dependencies may not be installed, see:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    190\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://docs.xarray.dev/en/stable/user-guide/io.html \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    191\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    192\u001b[0m     )\n\u001b[0;32m--> 194\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(error_msg)\n",
+      "\u001b[0;31mValueError\u001b[0m: did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see:\nhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\nhttps://docs.xarray.dev/en/stable/user-guide/io.html"
+     ]
+    }
+   ],
    "source": [
-    "input_dsets = xr.open_dataset('~/Data/final_proc_5yr_6h.nc')"
+    "input_dsets = xr.open_dataset('../test_folder/final_proc_5yr_6h.nc')"
    ]
   },
   {