TMPS_model: Apply the TMPS model to a set of data for a typewise...

In PhilippBuehler/FloodR: Separation and typing of flood events and typewise staistical return periods (TMPS)

Apply the TMPS model to a set of data for a typewise statistical estimate of return periods as well as a combined TMPS return period. See reference Fischer (2018)

Description

Apply the TMPS model to a set of data for a typewise statistical estimate of return periods as well as a combined TMPS return period. See reference Fischer (2018)

Usage

TMPS_model(
  Flood_events,
  Daily_discharge,
  return_TMPS,
  Threshold_Q,
  p_input = NULL,
  q_input = NULL
)

Arguments

Flood_events	data.frame: Floods events with the columns "Peak_date" (Date format), "HQ" (numeric) and "Type" (factor)
Daily_discharge	data.frame: Daily discharge (continuous) with columns "Date (Date format) and "Discharge" (numeric)
return_TMPS	character vector: What should be returned. Any combination of "TMPS" and the occuring floodtypes
Threshold_Q	numeric: Peak of Threshold, defaults to 3
p_input	The points (as years of return period) where the quantiles should be calculated
q_input	Probabilities to calculate the quantiles for

Author(s)

Svenja Fischer

Philipp Bühler

PhilippBuehler/FloodR documentation built on March 2, 2024, 9:53 a.m.