[feature/hash_update_May_19] Update another JEDI documentation URL in the Glossary

Author: MichaelLueken

doc/UsersGuide/Reference/Glossary.rst

@@ -276,7 +276,7 @@ Glossary
       `Spack <https://spack.readthedocs.io/en/latest/>`_ is a package management tool designed to support multiple versions and configurations of software on a wide variety of platforms and environments. It was designed for large supercomputing centers, where many users and application teams share common installations of software on clusters with exotic architectures. 
 
    spack-stack
-      The `spack-stack <https://github.com/JCSDA/spack-stack>`_ is a collaborative effort between the NOAA Environmental Modeling Center (EMC), the UCAR Joint Center for Satellite Data Assimilation (JCSDA), and the Earth Prediction Innovation Center (EPIC). *spack-stack* is a repository that provides a :term:`Spack`-based method for building the software stack required for numerical weather prediction (NWP) tools such as the `Unified Forecast System (UFS) <https://ufs.epic.noaa.gov/>`_ and the `Joint Effort for Data assimilation Integration (JEDI) <https://jointcenterforsatellitedataassimilation-jedi-docs.readthedocs-hosted.com/en/latest/>`_ framework. *spack-stack* uses the Spack package manager along with custom Spack configuration files and Python scripts to simplify installation of the libraries required to run various applications. The *spack-stack* can be installed on a range of platforms and comes pre-configured for many systems. Users can install the necessary packages for a particular application and later add the missing packages for another application without having to rebuild the entire stack. To get started, check out the documentation :doc:`here <spack-stack:index>`.
+      The `spack-stack <https://github.com/JCSDA/spack-stack>`_ is a collaborative effort between the NOAA Environmental Modeling Center (EMC), the UCAR Joint Center for Satellite Data Assimilation (JCSDA), and the Earth Prediction Innovation Center (EPIC). *spack-stack* is a repository that provides a :term:`Spack`-based method for building the software stack required for numerical weather prediction (NWP) tools such as the `Unified Forecast System (UFS) <https://ufs.epic.noaa.gov/>`_ and the `Joint Effort for Data assimilation Integration (JEDI) <https://jcsda-jedi-docs.readthedocs-hosted.com/en/latest/>`_ framework. *spack-stack* uses the Spack package manager along with custom Spack configuration files and Python scripts to simplify installation of the libraries required to run various applications. The *spack-stack* can be installed on a range of platforms and comes pre-configured for many systems. Users can install the necessary packages for a particular application and later add the missing packages for another application without having to rebuild the entire stack. To get started, check out the documentation :doc:`here <spack-stack:index>`.
 
    SPP
       Stochastically Perturbed Parameterizations (SPP) is a technique used in ensemble forecasting to represent model uncertainty by adding random perturbations to key parameters in physics schemes.