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CSDownscale  

Statistical Downscaling of Climate Predictions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CSDownscale", "0.0.1")



Attach the package and use:
library("CSDownscale")
Maintained by
Theertha Kariyathan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-17
Latest Update: 2025-12-17
Description:
Statistical downscaling and bias correction of climate predictions. It includes implementations of commonly used methods such as Analogs, Linear Regression, Logistic Regression, and Bias Correction techniques, as well as interpolation functions for regridding and point-based applications. It facilitates the production of high-resolution and local-scale climate information from coarse-scale predictions, which is essential for impact analyses. The package can be applied in a wide range of sectors and studies, including agriculture, water management, energy, heatwaves, and other climate-sensitive applications. The package was developed within the framework of the European Union Horizon Europe projects Impetus4Change (101081555) and ASPECT (101081460), the Wellcome Trust supported HARMONIZE project (224694/Z/21/Z), and the Spanish national project BOREAS (PID2022-140673OA-I00). Implements the methods described in Duzenli et al. (2024) <doi:10.5194/egusphere-egu24-19420>.
How to cite:
Theertha Kariyathan (2025). CSDownscale: Statistical Downscaling of Climate Predictions. R package version 0.0.1, https://cran.r-project.org/web/packages/CSDownscale. Accessed 21 Aug. 2026.
Previous versions and publish date:
0.0.1 (2025-12-17 11:10), 0.0.2 (2026-03-05 13:20), (2026-07-09 08:00)
Other packages that cited CSDownscale R package
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Complete documentation for CSDownscale
Functions, R codes and Examples using the CSDownscale R package
Full CSDownscale package functions and examples
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