CDSimX: Simulating Climate Data for Research and Modelling
Advanced climate simulation, forecasting, visualization, export,
and machine learning tools. Generates synthetic climate datasets for single
or multiple weather stations using stochastic weather generation techniques.
'CDSimX' simulates daily climate variables including minimum and maximum
temperature, rainfall, relative humidity, solar radiation, wind speed,
wind direction, dew point temperature, and potential evapotranspiration.
The package incorporates seasonal harmonic models, Markov chain rainfall
occurrence processes, Gamma-distributed rainfall amounts, copula-based
dependence structures, bias-correction procedures, and physical consistency
constraints. 'CDSimX' supports climate data generation, environmental
modeling, machine learning benchmarking, sensitivity analysis, and
educational applications. Methods are based on established stochastic
weather generation approaches described in Richardson (1981)
<doi:10.1029/WR017i001p00182>, Wilks (1999)
<doi:10.1016/S0168-1923(99)00037-4>, and Osei et al. (2026)
<doi:10.5334/jors.666>.
| Version: |
1.1.2 |
| Imports: |
copula, ggplot2, dplyr, tidyr, lubridate, randomForest, gbm, forecast, xgboost, nnet, ncdf4, rlang, readr, scales, stats |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-07-10 |
| DOI: |
10.32614/CRAN.package.CDSimX (may not be active yet) |
| Author: |
Isaac Osei [aut, cre],
Acheampong Baafi-Adomako [aut],
Jayanti Maji [aut] |
| Maintainer: |
Isaac Osei <ikemillar65 at gmail.com> |
| BugReports: |
https://github.com/ikemillar/CDSimX/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://ikemillar.github.io/CDSimX/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
CDSimX results |
Documentation:
Downloads:
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