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.

Package details

AuthorNirmal Kumar [aut, cph], Nobin Chandra Paul [aut, cre], G.P. Obi Reddy [aut]
MaintainerNobin Chandra Paul <nobin.paul@icar.gov.in>
LicenseGPL (>= 2.0)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CLimd")

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CLimd documentation built on May 29, 2024, 12:06 p.m.