Update README.md

Author: Rob Crystal-Ornelas

README.md

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 # ESS-DIVE Model Data Archiving Guidelines v1.1.0  
 
-These guidelines were informed by input from the U.S. Department of Energy's (DOE) Environmental System Science (ESS) land modeling community and are associated with the manuscript by Simmonds et al. (In Revision). The terrestrial modeling community have unique challenges related to data archiving because the models and simulations they use span scientific domains and address a diversity of research questions. By working with DOE terrestrial modelers we created these guidelines to help users determine which components of model simulations to archive, how to bundle files for data publication, and we discuss data repository tools that can faciliate future archiving of model data.
+These guidelines were informed by input from the U.S. Department of Energy's (DOE) Environmental System Science (ESS) land modeling community and are associated with the manuscript by Simmonds et al. (In Revision). The terrestrial modeling community have unique challenges related to data archiving because the models and simulations they use span scientific domains and address a diversity of research questions. By working with DOE terrestrial modelers we created these guidelines to help users determine which components of model simulations to archive, how to bundle files for data publication, and we discuss data repository tools that can faciliate future archiving of model data. We envision the recommendations being applied to other types of models beyond the terrestrial modeling community. Following the guidelines will help modelers have a clear understanding of what components of their model to archive and also enable model data reuse and integration.
 
 These guidelines are the culmination of the aforementioned efforts, they will evolve over time based on ongoing community engagement and feedback received on the material in this GitHub repository.