calc_longterm_mean: Calculate the long-term mean annual discharge

In fasstr: Analyze, Summarize, and Visualize Daily Streamflow Data

Calculate the long-term mean annual discharge

Description

Calculates the long-term mean annual discharge (MAD) from a daily streamflow data set. Calculates statistics from all values, unless specified. Returns a tibble with statistics.

Usage

calc_longterm_mean(
  data,
  dates = Date,
  values = Value,
  groups = STATION_NUMBER,
  station_number,
  roll_days = 1,
  roll_align = "right",
  water_year_start = 1,
  start_year,
  end_year,
  exclude_years,
  complete_years = FALSE,
  months = 1:12,
  percent_MAD,
  transpose = FALSE
)

Arguments

data	Data frame of daily data that contains columns of dates, flow values, and (optional) groups (e.g. station numbers). Leave blank or set to NULL if using station_number argument.
dates	Name of column in data that contains dates formatted YYYY-MM-DD. Only required if dates column name is not 'Date' (default). Leave blank or set to NULL if using station_number argument.
values	Name of column in data that contains numeric flow values, in units of cubic metres per second. Only required if values column name is not 'Value' (default). Leave blank if using station_number argument.
groups	Name of column in data that contains unique identifiers for different data sets, if applicable. Only required if groups column name is not 'STATION_NUMBER'. Function will automatically group by a column named 'STATION_NUMBER' if present. Remove the 'STATION_NUMBER' column beforehand to remove this grouping. Leave blank if using station_number argument.
station_number	Character string vector of seven digit Water Survey of Canada station numbers (e.g. "08NM116") of which to extract daily streamflow data from a HYDAT database. Requires tidyhydat package and a HYDAT database. Leave blank if using data argument.
roll_days	Numeric value of the number of days to apply a rolling mean. Default 1.
roll_align	Character string identifying the direction of the rolling mean from the specified date, either by the first ('left'), last ('right'), or middle ('center') day of the rolling n-day group of observations. Default 'right'.
water_year_start	Numeric value indicating the month (1 through 12) of the start of water year for analysis. Default 1.
start_year	Numeric value of the first year to consider for analysis. Leave blank or set well before start date (i.e. 1800) to use from the first year of the source data.
end_year	Numeric value of the last year to consider for analysis. Leave blank or set well after end date (i.e. 2100) to use up to the last year of the source data.
exclude_years	Numeric vector of years to exclude from analysis. Leave blank or set to NULL to include all years.
complete_years	Logical values indicating whether to include only years with complete data in analysis. Default FALSE.
months	Numeric vector of months to include in analysis. For example, 3 for March, 6:8 for Jun-Aug or c(10:12,1) for first four months (Oct-Jan) when water_year_start = 10 (Oct). Default summarizes all months (1:12).
percent_MAD	Numeric vector of percents of long-term mean annual discharge to add to the table (ex. 20 for 20 percent MAD or c(5,10,20) for multiple percentages). Leave blank or set to NA for no values to be calculated.
transpose	Logical value indicating whether to transpose rows and columns of results. Default FALSE.

Value

A tibble data frame of numeric values of a long-term mean (and percent of long-term mean if selected) of selected years and months.

Examples

# Run if HYDAT database has been downloaded (using tidyhydat::download_hydat())
if (file.exists(tidyhydat::hy_downloaded_db())) {

# Calculate the long-term mean annual discharge (MAD) using only years with no missing data
calc_longterm_mean(station_number = "08NM116", 
                   complete_years = TRUE)

# Calculate the long-term MAD and 5, 10 and 20-percent MADs using only years with no missing data
calc_longterm_mean(station_number = "08NM116", 
                   complete_years = TRUE,
                   percent_MAD = c(5,10,20))
                   
}

fasstr documentation built on Sept. 30, 2024, 9:24 a.m.