RMarf: RMarf

In USGS-R/Rainmaker: Rainfall event processing

RMarf

Description

This function computes antecedent rainfall for Rainmaker event files or any file with a list of specified dates.

Input files must have a as.POSIXctformatted date/time column. This format can be achieved by using the RMprep function The name of the rainfall column can also be changed as desired using the RMprep funtion

Subset the data by antecedent time period (can also assign to a df if you like) then define ARF values for the subset. Do this for all date periods in the sample file.

Usage

RMarf(
  df,
  date = "date",
  rain = "rain",
  df.events,
  sdate = "StartDate",
  days = c(0.5, 1, 2, 3, 5, 10, 15, 20),
  varnameout = "ARF"
)

Arguments

df	dataframe Unit values rain file
date	string Date column name in df as POSIX
rain	string Column in df with instantaneous rain values
df.events	dataframe with dates/times for events
sdate	string Name of start date column in df.events rain file as POSIX
days	vector of times in days for summing antecedent rainfall
varnameout	string prefix for resulting antecedent rainfall variable names

Value

df.events dataframe

Examples

RDB <- CedarRRain
RDB2 <- RMprep(RDB,prep.type=1,date.type=1,dates.in="CST.Time",tz="CST6CDT")
RDB3 <- subset(RDB2,
 upload.ph3_site_basin_cedar_creek.Id.0....Geographical.Mean.kg.m.2.>-1)
event.list <- RMevents(df=RDB3,ieHr=6,
rainthresh=0.2,
rain="upload.ph3_site_basin_cedar_creek.Id.0....Geographical.Mean.kg.m.2.")
events.0.2 <- event.list$storms2
intensities <- RMintensity(RDB3,date="pdate",
rain="upload.ph3_site_basin_cedar_creek.Id.0....Geographical.Mean.kg.m.2.",
events.0.2,sdate="StartDate",edate="EndDate",depth="rain",xmin=c(5,15,30))
ARFrain <- RMarf(df = RDB3,
                 date = "pdate",
                 rain="upload.ph3_site_basin_cedar_creek.Id.0....Geographical.Mean.kg.m.2.",
                 df.events=intensities,sdate="StartDate",days=c(1,3,5),varnameout="ARF")

USGS-R/Rainmaker documentation built on Oct. 11, 2022, 6:05 a.m.