plot_daily: Plot daily temperature and precipitation forecasts from the...

In yuchuan-lai/scifi: Statistical Climate Forecasting Integrated for Civil and Environmental Engineering

Plot daily temperature and precipitation forecasts from the ARIMA daily simulation model

Description

Plot the daily temperature or precipitation forecasts obtained using the ARIMA daily simulation model in fcast_daily. Probability density functions of daily series and annual average calculations from the daily simulations are plotted.

Usage

plot_daily(fcast.output, plot.var.name = "temp")

Arguments

fcast.output	A list object that is produced by the fcast_daily as the output of ARIMA simulations of future temperature and precipitation.
plot.var.name	A character specifying the variable name for plotting. 'temp', 'tmax', 'tmin', and 'prcp' are the acceptable arguments.

Details

Blue colored lines are the individual simulated series while black line in pdf plot and black points in annual plot represent the historical observations.

Background information about the statistical forecasting models applied can be found at: Lai, Y., & Dzombak, D. A. (in press). Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-term Regional Temperature and Precipitation. Weather and Forecasting.

Value

A ggplot object, including a probability density function plot and aggregated annual average of daily simulaitons plot. Blue colored lines are the individual simulated series while black line in pdf plot and black points in annual plot represent the historical observations.

Author(s)

Yuchuan Lai

References

Lai, Y., and Dzombak, D. A., 2021: Use of Integrated Global Climate Model Simulations and Statistical Time Series Forecasting to Project Regional Temperature and Precipitation. Journal of Applied Meteorology and Climatology.

Lai, Y., and Dzombak, D. A., 2020: Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-term Regional Temperature and Precipitation. Weather and Forecasting.

See Also

See Also as fcast_daily, plot_annual, and plot_annual_cl

Examples

# Download the historical daily data for Pittsburgh
pit.daily <- download("Pittsburgh", "daily")

# Obtain 1 set of 20-year simulations of daily temperature and precipitation
# starting from 2020 in Pittsburgh
pit.daily.simu <- fcast_daily(pit.daily)

# Plot the obtained 1 set of simulations of daily maximum temperature
plot_daily(pit.daily.simu, "tmax")

yuchuan-lai/scifi documentation built on March 29, 2022, 6:24 a.m.