Update README with cloud set up instructions

notebooks/ICESat-2_Cloud_Access/README.md

@@ -4,13 +4,16 @@
 This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the `earthaccess` package. NASA data "in the cloud" are stored in Amazon Web Services (AWS) Simple Storage Service (S3) Buckets. **Direct Access** is an efficient way to work with data stored in an S3 Bucket when you are working in the cloud. Cloud-hosted granules can be opened and loaded into memory without the need to download them first. This allows you take advantage of the scalability and power of cloud computing.
 
 ## Set up
-To run the notebook provided in this folder, please see the [NSIDC-Data-Tutorials repository readme](https://github.com/nsidc/NSIDC-Data-Tutorials#readme) for instructions on several ways (using Binder, Docker, or Conda) to do this.
-
-**Note:** If you are running this notebook on your own AWS EC2 instance using the environment set up using the environment.yml file in the NSIDC-Data-Tutorials/notebooks/ICESat-2_Cloud_Access/environment folder, you may need to run the following command before running the notebook to ensure the notebook executes properly:
+To run the notebook provided in this folder in the Amazon Web Services (AWS) cloud, there are a couple of options:
+* An EC2 instance already set up with the necessary software installed to run a Jupyter notebook, and the environment set up using the provided environment.yml file. **Note:** If you are running this notebook on your own AWS EC2 instance using the environment set up using the environment.yml file in the NSIDC-Data-Tutorials/notebooks/ICESat-2_Cloud_Access/environment folder, you may need to run the following command before running the notebook to ensure the notebook executes properly:
 
 `jupyter nbextension enable --py widgetsnbextension`
 
-You do NOT need to do this if you are using the environment set up using the environment.yml file from the NSIDC-Data-Tutorials/binder folder.
+    You do NOT need to do this if you are using the environment set up using the environment.yml file from the NSIDC-Data-Tutorials/binder folder.
+
+* Alternatively, if you have access to one, it can be run in a managed cloud-based Jupyter hub. Just make sure all the necessary libraries are installed (`earthaccess`,`xarray`, and `hvplot`). 
+
+For further details on the prerequisites, see the 'Prerequisites' section in the notebook. 
 
 ## Key Learning Objectives