cpc_read_rawdata: Read downloaded raw rainfall data from CPC

In raincpc: Obtain and Analyze Daily Rainfall Data from the USA Climate Prediction Center (CPC)

Description

Read downloaded raw rainfall data from CPC

Usage

cpc_read_rawdata(
  yr,
  mo,
  day,
  raw_data_path = "",
  usa = FALSE,
  write_output = FALSE
)

Arguments

yr	Year associated with the downloaded file, 1979/1948 - present
mo	Month associated with the downloaded file, 1 - 12
day	Day associated with the downloaded file, 1 - 28/29/30/31
raw_data_path	location of downloaded cpc files
usa	logical flag to indicate whether global or usa data is desired
write_output	logical flag to indicate whether binary output file should be written or not

Details

For the global data - the output matrix has 360 rows (latitudes) and 720 columns (longitudes) of rainfall/precipitation in units of mm/day; the first data point has the lat, lon values of -89.75 and 0.25 degrees, respectively; spatial resolution of the data is 0.5 degrees. For the USA data - the output matrix has 120 rows (latitudes) and 300 columns (longitudes) of rainfall/precipitation in units of mm/day; the first data point has the lat, lon values of 20.125 and 230.125 degrees, respectively; spatial resolution of the data is 0.25 degrees.

Value

RasterLayer

Author(s)

Gopi Goteti

Examples

## Not run: 
# CPC global data for July 4 2014
rain1 <- cpc_read_rawdata(2014, 7, 4)
print(rain1)
# CPC USA data for July 4 2014
rain2 <- cpc_read_rawdata(2014, 7, 4, usa = TRUE)
print(rain2)

## End(Not run)

raincpc documentation built on Jan. 31, 2020, 9:06 a.m.