Stream Temperature Models of White River Watershed, Mount Rainier National Park, Washington

Water temperature is an important characteristic of stream conditions with implications for water quality and stream dwelling organisms. This Data Release contains spatial stream network (SSN) objects and R scripts to run SSN models to predict mean monthly stream temperature and 7-day average daily maximum (Max7DAD) during August and September in the White River watershed within Mount Rainier National Park, Washington. Monthly predictions for August and September are derived and calibrated from stream temperature data collected by the National Park Service between 2010 and 2020 within the White River and its tributaries. These predictions are average conditions that correspond to the timeframe 2010 - 2020. Functions referenced within the script may be accessed in the SSN package version 1.1.18. (Ver Hoef and Peterson, 2010). All functions and packages were compiled under R version 3.5.3 (R Development Core Team, 2014). The R script can be executed from any R console (R version 4.1.3) or from the RStudio (version 2022.02.3 Build 492; https://www.rstudio.com/). The R script, MORA_Run_SSN_Model_NSI_v6.R, contains the SSN models used to fit the temperature statistics. SSN objects referenced by this script are contained within the file "MORA_WR_SSN_Objects.zip" as "NSI_v6.ssn". Reference cited: Ver Hoef, J.M.; Peterson, E.E. A moving average approach for spatial statistical models of stream networks. J. Am. Stat. Assoc. 2010, 105, 6–18