Description Usage Arguments Details Value Author(s) Examples
View source: R/cpc_read_rawdata.R
Read downloaded raw rainfall data from CPC
1 2 3 4 5 6 7 8 | cpc_read_rawdata(
yr,
mo,
day,
raw_data_path = "",
usa = FALSE,
write_output = FALSE
)
|
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 |
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.
RasterLayer
Gopi Goteti
1 2 3 4 5 6 7 8 9 | ## 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)
|
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