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CLimd  

Generating Rainfall Rasters from IMD NetCDF Data
View on CRAN: Click here


Download and install CLimd package within the R console
Install from CRAN:
install.packages("CLimd")

Install from Github:
library("remotes")
install_github("cran/CLimd")

Install by package version:
library("remotes")
install_version("CLimd", "0.1.0")



Attach the package and use:
library("CLimd")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
First Published: 2024-01-10
Latest Update: 2024-01-10
Description:
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).. 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.
How to cite:
Nobin Chandra Paul (2024). CLimd: Generating Rainfall Rasters from IMD NetCDF Data. R package version 0.1.0, https://cran.r-project.org/web/packages/CLimd. Accessed 02 May. 2025.
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Complete documentation for CLimd
Functions, R codes and Examples using the CLimd R package
Full CLimd package functions and examples
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