Ensemble-Based Data Assimilation with GR Hydrological Models
Overview
Add-on to the 'airGR' package which provides the tools to assimilate observed discharges in daily GR hydrological models. The package consists in two functions allowing to perform the assimilation of observed discharges via the Ensemble Kalman filter or the Particle filter as described in Piazzi et al. (2021) doi:10.1029/2020WR028390.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 3includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Downloads
Repository
Repository gitlab.irstea.fr/hycar-hydro/airgrdatassim is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.
Dependencies
Installing airGRdatassim adds 1 package (1 with compiled code, 2.7 MB of source tarballs). Heaviest: airGR 2.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.4Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.32021-02-11
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-11
- Total releases
- 2 / 5 yrs
- License
- GPL-2 OSI
- Download size
- 56 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("airGRdatassim")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.