fixed links within the ecco_access tutorials

Author: andrewdelman

ecco_access/ecco_access_tutorials/ECCO_access_intro.ipynb

@@ -3445,7 +3445,7 @@
     "\n",
     "> Note: if using a \"query\" to search the variable lists, it is recommended to use a single word (or even part of a word) when possible. Since only exact text matches are identified, you are more likely to get results with a shorter query.\n",
     "\n",
-    "For example, perhaps you are looking to open the dataset that has native grid monthly sea ice concentration in 2007. If the query is not identified as a ShortName, then a text search of the [variable lists](https://ecco-hackweek.github.io/ecco-2024/tutorials/ECCO_data_access/ECCO_data_structure.html#dataset-shortnames-and-variables-associated-with-them) is conducted using *query*, *grid*, and *time_res*. Then of the identified matches, the user is asked to select one."
+    "For example, perhaps you are looking to open the dataset that has native grid monthly sea ice concentration in 2007. If the query is not identified as a ShortName, then a text search of the [variable lists](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_access_intro.html#Dataset-ShortNames-and-variables-associated-with-them) is conducted using *query*, *grid*, and *time_res*. Then of the identified matches, the user is asked to select one."
    ]
   },
   {

ecco_access/ecco_access_tutorials/ECCO_access_modes.ipynb

@@ -40,9 +40,9 @@
     "\n",
     "## Introduction\n",
     "\n",
-    "In the [previous tutorial](https://ecco-hackweek.github.io/ecco-2024/tutorials/ECCO_data_access/ECCO_access_intro.html) the **ecco_access** library was introduced, with a few examples of how it can be used to search and access ECCOv4 output available from PO.DAAC. This tutorial summarizes and compares the various modes that **ecco_access** supports for HTTPS and (in-cloud) S3 data access. We'll use each mode to search/download/retrieve native grid monthly SSH and wind stress datasets for 6 months (Jan-Jun 2010).\n",
+    "In the [previous tutorial](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_access_intro.html) the **ecco_access** library was introduced, with a few examples of how it can be used to search and access ECCOv4 output available from PO.DAAC. This tutorial summarizes and compares the various modes that **ecco_access** supports for HTTPS and (in-cloud) S3 data access. We'll use each mode to search/download/retrieve native grid monthly SSH and wind stress datasets for 6 months (Jan-Jun 2010).\n",
     "\n",
-    "As the [time comparison](#time-comparison-of-access-modes) at the end will show, mode = `s3_open_fsspec` is typically fastest when working in the cloud and you have the necessary `json` files available. Hence the other tutorials in the `ecco-2024` repository generally use this access mode."
+    "As the [time comparison](#time-comparison-of-access-modes) at the end will show, mode = `s3_open_fsspec` is typically fastest when working in the cloud and you have the necessary `json` files available."
    ]
   },
   {
@@ -3424,7 +3424,7 @@
     "\n",
     "The `download_subset` mode is essentially a wrapper for the `ecco_podaac_download_subset` function, which uses Opendap to allow spatial, temporal, and variable-based subsetting of ECCO datasets and granules at the download stage. Depending on the size of the source dataset (e.g., whether the dataset has a depth dimension or not), this mode may be faster or slower than downloading the full granule files; it will almost certainly be slower than using mode = `s3_open_fsspec` when you have the `json` files available. But it can be a space- and time-saver when you are working on your local machine and not in the cloud.\n",
     "\n",
-    "Multiple examples of the `ecco_podaac_download_subset` functionality are provided in the [Downloading Subsets of ECCO Datasets](https://ecco-hackweek.github.io/ecco-2024/tutorials/ECCO_data_access/ECCO_subsets_tutorial.html) tutorial. Here is one example using `ecco_podaac_to_xrdataset` to open one year of monthly SST using mode = `download_subset` (in the ECCOv4r4 output, SST is the top depth layer of `THETA`):"
+    "Multiple examples of the `ecco_podaac_download_subset` functionality are provided in the [Downloading Subsets of ECCO Datasets](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_subsets_tutorial.html) tutorial. Here is one example using `ecco_podaac_to_xrdataset` to open one year of monthly SST using mode = `download_subset` (in the ECCOv4r4 output, SST is the top depth layer of `THETA`):"
    ]
   },
   {