Statistical Downscaling of Climate Predictions
Overview
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 'Ramon et al. (2021) doi:10.1088/1748-9326/abe491', 'Duzenli et al. (2024) doi:10.5194/egusphere-egu24-19420', 'Moreno-Montes et al. (2026) doi:10.1016/j.cliser.2026.100639', 'Duzenli et al. (2026) doi:10.1038/s41598-026-45067-2', 'Duzenli et al. (2026) doi:10.1088/1748-9326/ae5c22'.
- The na.rm option has been removed from Intbc, as in the other CSDownscale functions. Within the scope of the library, it is always treated as TRUE.
- The default value of the wet.day parameter in Intbc has been set to FALSE.
- Errors caused by importing some functions from other packages have been resolved.
- Update README.md
- Add missing reference Ramon et al., 2021 to DESCRIPTION
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 60%6 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 98%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- not measured
Repository gitlab.earth.bsc.es/es/csdownscale is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.
Dependencies
Installing CSDownscale adds 72 packages (38 with compiled code, 76 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.
Code & Tests
People & History
Show 1 more contributorHide 1 contributor
Previously maintained by Theertha Kariyathan (0.0.1).
Package metadata
- First published
- 2025-12-17
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 45 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CSDownscale")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.