Package: CLimd 0.1.0

Nobin Chandra Paul

CLimd: Generating Rainfall Rasters from IMD NetCDF Data

The developed function is a comprehensive tool for the analysis of India Meteorological Department (IMD) NetCDF rainfall data. Specifically designed to process high-resolution daily gridded rainfall datasets. It provides four key functions to process IMD NetCDF rainfall data and create rasters for various temporal scales, including annual, seasonal, monthly, and weekly rainfall. For method details see, Malik, A. (2019).<doi:10.1007/s12517-019-4454-5>. It supports different aggregation methods, such as sum, min, max, mean, and standard deviation. These functions are designed for spatio-temporal analysis of rainfall patterns, trend analysis,geostatistical modeling of rainfall variability, identifying rainfall anomalies and extreme events and can be an input for hydrological and agricultural models.

Authors:Nirmal Kumar [aut, cph], Nobin Chandra Paul [aut, cre], G.P. Obi Reddy [aut]

CLimd_0.1.0.tar.gz
CLimd_0.1.0.tar.gz(r-4.5-noble)CLimd_0.1.0.tar.gz(r-4.4-noble)
CLimd_0.1.0.tgz(r-4.4-emscripten)CLimd_0.1.0.tgz(r-4.3-emscripten)
CLimd.pdf |CLimd.html✨
CLimd/json (API)

# Install 'CLimd' in R:
install.packages('CLimd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 165 downloads 4 exports 10 dependencies

Last updated 11 months agofrom:db93e69343. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linuxOKNov 06 2024

Exports:AnnualRF_rasterMonthRF_rasterSeasonalRF_rasterWeeklyRF_raster

Dependencies:askpasscurllatticencdf4qpdfrasterRcppspsysterra

CLimd: Generating Rainfall Rasters from IMD NetCDF Data

Rendered fromCLimd.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2024-01-11
Started: 2024-01-11