Added note to old download tutorial encouraging use of ecco_access instead

Author: andrewdelman

ecco_access/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.ipynb

@@ -5,9 +5,9 @@
    "id": "d8999184",
    "metadata": {},
    "source": [
-    "# Using Python to Download ECCO Datasets\n",
+    "# Using Python to Download ECCO Datasets [old method]\n",
     "\n",
-    "**Note: This notebook was modified by Andrew Delman (updated 2024-07-11) from the tutorial on the** [ECCO-GROUP Github](https://github.com/ECCO-GROUP/ecco_access/blob/master/PODAAC/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.ipynb) **by Jack McNelis and Ian Fenty, Version 1.1 dated 2021-06-25.**\n",
+    "**Note: The *ecco_download.py* module described in this tutorial has been incorporated into the new *ecco_access* library. Using [ecco_access] is recommended, rather than using the ecco_download.py module on its own. This tutorial may be removed in the near future.**\n",
     "\n",
     "This Jupyter notebook provides an introduction to the Python [ecco_download module](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_download.py), with instructions and Python code for downloading a set of granules (files) for an ECCO \"Dataset\" hosted by PO.DAAC. The focus is on downloading datasets in the lat-lon-cap 90 (llc90) native grid of the ECCO v4 simulations, since the tutorials mostly use output on the native grid. If you're new to this grid geometry, don't worry! The ecco_v4_py package discussed in the previous tutorial will help you load the ECCO output, make computations, and plot the results while hardly needing to interact with the model grid.\n",
     "\n",
@@ -998,7 +998,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.9"
   },
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    "interpreter": {