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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
raster, ncdf4, qpdf |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-01-10 |
| Author: |
Nirmal Kumar [aut, cph],
Nobin Chandra Paul [aut, cre],
G.P. Obi Reddy [aut] |
| Maintainer: |
Nobin Chandra Paul <nobin.paul at icar.gov.in> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: |
no |
| CRAN checks: |
CLimd results |
Documentation:
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