Other packages > Find by keyword >

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 12 Sep. 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
View CSDownscale citation profile
Other R packages that CSDownscale depends, imports, suggests or enhances
Complete documentation for CSDownscale
Functions, R codes and Examples using the CSDownscale R package
Full CSDownscale package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
Download / Learn more Package Citations See dependency  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA