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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 132.6 MB | |
| Created: | Aug 23, 2026 at 9:48 a.m. (UTC) | |
| Last updated: | Aug 25, 2026 at 4:44 p.m. (UTC) (Metadata update) | |
| Published date: | Aug 25, 2026 at 4:44 p.m. (UTC) | |
| DOI: | 10.4211/hs.0dc334aa5d8449299b6ec8874fd1ab0d | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Published |
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| Views: | 72 |
| Downloads: | 3 |
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Abstract
This resource contains the data, R scripts, cached Monte Carlo inputs, and documentation needed to reproduce the analyses reported in the paper “Beyond precipitation deficit: driver-based classification of hydrological droughts in an Alpine Basin.” The package reproduces the centered 30-day multibasin streamflow-drought classification and associated sensitivity analyses for 23 study basins in the upper Adige River basin, South Tyrol, Italy. The workflow generates the figures and intermediate outputs under outputs/generated/. Users are kindly requested to cite this HydroShare resource and the related paper, as appropriate, when using the data, code, or generated outputs contained herein.
Subject Keywords
Coverage
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Content
README.md
Hydrological drought typology classifier
This HydroShare resource is a reproducibility package for the centered 30-day multibasin streamflow-drought classification and the sensitivity analyses. It contains the exact input files used by the scripts, the cached 1,000-run Monte Carlo experiment, portable R code, and documentation. The workflow populates outputs/generated/ with figures, intermediate RDS files, tables, and logs.
Contents
inputs/: the five primary input tables and the cached Monte Carlo result used by the analysis.code/: portable R scripts. No script depends on the original local path.outputs/generated/: populated by the default reproduction workflow with figures, intermediate RDS files, tables, and logs.environment/: R and package versions plus an optional Docker recipe.docs/: workflow, data dictionary, provenance, and publication notes.
Quick start
Use R 4.3.2. From the root of this downloaded resource, run:
sh
Rscript --vanilla code/run_all.R
run_all.R executes the seven numbered reproduction scripts in separate R sessions. Logs are written to outputs/generated/logs/run_all/.
run_all.R creates and populates outputs/generated/ and must be run from the resource root before running any of the later scripts individually.
The workflow uses the included 1,000-run Monte Carlo result. The Monte Carlo simulation is not rerun; the packaged result is the analysis product supporting the corresponding paper figure and is used for post-processing and plotting. The historical generation implementation is retained under code/source_original/ for provenance.
Analysis sequence
01_centered_analysis.R: centered 30-day preprocessing, event detection and classification, duration sensitivity, Monte Carlo post-processing, and core results.02_replot_labelled_figures.R: publication labels and final probability/share/Monte Carlo figure layouts.03_trailing_30d_sensitivity.R: trailing-window alternative and comparisons with the centered catalogue.04_headwater_sensitivity.R: headwater subset analysis, withPassirio_Meranoclassified as downstream.05_compare_event_catalogues.R: comparable centered, trailing, and headwater summary figures.06_aet_pet_stress_sensitivity.R: alternative hot-and-dry classification based on AET/PET stress.07_baseline_delta_analysis.R: seasonal baseline probability and anomaly-associated probability-change analysis.
Input coverage
The hydrometeorological inputs span 1990-01-01 to 2023-10-01, depending on the variable. The fixed classification period in the analysis is 1992-10-01 to 2023-09-30. The files describe 23 study basins in the upper Adige River system in South Tyrol, Italy.
Reuse and citation
File formats, variables, units, and unit caveats are documented in docs/data_dictionary.md. The exact software environment is recorded under environment/. HydroShare supplies the formal citation after the resource is formally published with a DOI; until then, cite the public resource URL shown on the landing page.
Except where otherwise noted, this resource is shared under the Creative Commons Attribution 4.0 International license (CC BY 4.0). See LICENSE.txt. Any third-party material identified separately remains subject to its original terms; users should verify those terms before redistribution.
Related Resources
| This resource is referenced by | Galletti, A., Terzi, S., Zebisch, M., Pittore, M., & Bertoldi, G. (2026). Beyond precipitation deficit: driver-based classification of hydrological droughts in an Alpine Basin. Manuscript under review at Water Resources Research |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| European Union – NextGenerationEU | RETURN – Multi-risk science for resilient communities under a changing climate (Extended Partnership), NRRP Mission 4, Component 2, Investment 1.3 | PE0000005 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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