hist_levels: Dataset: CSLS imputed lake levels
In WDNR-Water-Use/CSLSlevels: CSLS Lake Level Analysis

Description Usage Format

Monthly historical lake levels from Bob Smail's Bayesian structural time series monte carlo approach. The lake level time series represented by the "level" column is the most representative simulation from the Bayesian model. Mean, standard deviation, etc. capture the stats of all 4000 simulations.

1	data(hist_levels)

A data frame with reconstructed historical lake levels for CSLS lakes.

lake: "Long", "Plainfield", "Pleasant", or "Devils
date: month and year (1st of the month) of lake level observation/prediction, POSIXct
level: Predicted lake level (mamsl)
mean: Mean lake level from all monte carlo simulations at this time step (mamsl)
sd: Standard deviation of lake levels from all monte carlo simulations at this time step (m)
p90: 90th percentile lake level from all monte carlo simulations at this time step (m)
p10: 10th percentile lake level from all monte carlo simulations at this time step (m)
min: Minimum lake level from all monte carlo simulations at this time step (m)
max: Maximum lake level from all monte carlo simulations at this time step (m)
upper: 2 standard deviations above mean or maximum lake level from all monte carlo simulations at this time step, whichever is lower (mamsl)
lower: 2 standard deviations below mean or minimum lake level from all monte carlo simulations at this time step, whichever is higher (mamsl)
level_obs: Mean observed lake level (mamsl or NA)
usgs_obs: USGS lake level for this month? Value or NA
swims_obs: SWIMS lake level for this month? Value or NA
airphoto_obs: Air photo lake level for this month? Value or NA