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CLimd (version 0.1.0)

WeeklyRF_raster: Generating weekly rainfall rasters from IMD NetCDF file

Description

Generating weekly rainfall rasters from IMD NetCDF file

Usage

WeeklyRF_raster(nc_data, output_dir = NULL, fun = "sum", year)

Value

A list of weekly rainfall rasters in GeoTIFF format

Arguments

nc_data

Path to the IMD rainfall NetCDF file

output_dir

Directory to save the generated weekly rainfall rasters (Optional)

fun

Aggregation function ("sum", "min", "max", "mean", "sd")(Default is "sum")

year

Year for which to generate weekly rainfall raster

References

1. Pai et al. (2014). Development of a new high spatial resolution (0.25° X 0.25°)Long period (1901-2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region, MAUSAM, 65(1),1-18. 2. Hijmans, R. J. (2022). raster: Geographic Data Analysis and Modeling. R package version 3.5-13. 3. Kumar et al. (2023). SpatGRID:Spatial Grid Generation from Longitude and Latitude List. R package version 0.1.0.

Examples

Run this code
# \donttest{
library(CLimd)
# Example usage:
nc_data <- system.file("extdata", "imd_RF_2022.nc", package = "CLimd")
output_dir <- NULL
fun<-"sum"
year<-2022
# Calculate weekly rainfall sum for 2022
weekly_rainfall_sum <-WeeklyRF_raster(nc_data, output_dir=NULL, fun="sum", year)
# }

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