fix typo

docs/UsersGuide/source/BackgroundInfo/Components.rst

@@ -6,7 +6,7 @@ SRW Application Components
 
 The SRW Application assembles a variety of components, including:
 
-* UFS Utilitiesstatistical driver
+* UFS Utilities
 * UFS Weather Model
 * Unified Post Processor
 * METplus verification suite
@@ -63,7 +63,7 @@ The METplus verification framework has been integrated into the SRW App to facil
 
 METplus comes preinstalled with :term:`spack-stack` but can also be installed on other systems individually or as part of :term:`HPC-Stack` installation. Users on systems without a previous installation of METplus can follow the :ref:`MET Installation Guide <met:installation>` and :ref:`METplus Installation Guide <metplus:install>` for individual installation. Currently, METplus *installation* is only supported as part of spack-stack installation; users attempting to install METplus individually or as part of HPC-Stack will need to direct assistance requests to the METplus team. However, METplus *use* is supported on any system with a functioning METplus installation.
 
-The core components of the METplus framework include the statistical driver (MET) the associated database and display systems known as METviewer and METexpress, and a suite of Python wrappers to provide low-level automation and examples, also called use cases. MET is a set of verification tools developed for use by the :term:`NWP` community. It matches up grids with either gridded analyses or point observations and applies configurable methods to compute statistics and diagnostics. Extensive documentation is available in the :doc:`METplus User's Guide <metplus:index>` and :doc:`MET User's Guide <met:index>`. Documentation for all other components of the framework can be found at the *Documentation* link for each component on the METplus `downloads <https://dtcenter.org/community-code/metplus/download>`__ page.
+The core components of the METplus framework include the statistical driver (MET) the associated database and display systems known as METviewer and METexpress, and a suite of Python wrappers to provide low-level automation and examples, also called use cases. MET is a set of verification tools developed for use by the :term:`NWP` community. It matches up gridded forecast fields with either gridded analyses or point observations and applies configurable methods to compute statistics and diagnostics. Extensive documentation is available in the :doc:`METplus User's Guide <metplus:index>` and :doc:`MET User's Guide <met:index>`. Documentation for all other components of the framework can be found at the *Documentation* link for each component on the METplus `downloads <https://dtcenter.org/community-code/metplus/download>`__ page.
 
 Among other techniques, MET provides the capability to compute standard verification scores for comparing deterministic gridded model data to point-based and gridded observations. It also provides ensemble and probabilistic verification methods for comparing gridded model data to point-based or gridded observations. Verification tasks to accomplish these comparisons are defined in the SRW App in :numref:`Table %s <VXWorkflowTasksTable>`. Currently, the SRW App supports the use of :term:`NDAS` observation files (which include conventional point-based surface and upper-air data) `in prepBUFR format <https://nomads.ncep.noaa.gov/pub/data/nccf/com/nam/prod/>`__ for point-based verification. It also supports gridded Climatology-Calibrated Precipitation Analysis (:term:`CCPA`) data for accumulated precipitation evaluation and Multi-Radar/Multi-Sensor (:term:`MRMS`) gridded analysis data for composite reflectivity and :term:`echo top` verification.