GLRIeof

Scripts to import, munge, and model edge of field data that is part of the Great Lakes Restoration Initiative

What these scripts accomplish

Pulls storm - level water quality data for all years from sites of interest using get_StormWQ.R.
Munges water quality data to clean up various coding within data (esimated events, frozen vs non-frozen, etc) using clean_WQdata.R
Collapses data into storm-level events using modelprep_WQdata.R
Uses the storms identified above as inputs to RainMaker to calculate precip characteristics (e.g., instead of rainmaker identifying storm events, you tell rainmaker which storms to summarize). Script calc_rain_variables.R does this work by calling the modified functions fxn_RMEvents_EOF.R and fxn_runrainmaker.R.
Calculates antecedent discharge metrics using nearby stream information using fxn_calc_antdischarge.R
Merges water quality, hydrology, and precipitation data using merge_data.R
Models water quality as a function of hydrology and precipitation. Does a before-and-after analysis of the field-level implementation.