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Large-sample hydro-meteorological dataset for the Alps


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Type: Resource
Storage: The size of this resource is 430.1 MB
Created: Aug 17, 2022 at 11:49 a.m.
Last updated: Jul 30, 2024 at 5:53 p.m.
DOI: 10.4211/hs.f1c12fa6c5be4c61a5ec617fa62e13d6
Citation: See how to cite this resource
Content types: Geographic Feature Content 
Sharing Status: Published
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Abstract

This dataset provides daily streamflow for 827 catchments in the Central Alps for the period 1970-2017.
In addition, it provides daily hydro-meteorological time series for the following variables: precipitation, temperature, and snow-water-equivalent derived from gridded ERA5-Land data.This dataset accompanies the manuscript by Brunner et al. (2023) and is needed to reproduce their results.

Brunner, M. I., Götte, J., Schlemper, C., & Van Loon, A. F. (2023). Hydrological drought generation processes and severity are changing in the Alps. Geophysical Research Letters, 50, e2022GL101776. https://doi.org/10.1029/2022GL101776

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
50.5739°
East Longitude
16.6717°
South Latitude
43.5264°
West Longitude
4.3238°

Content

readme.txt

Large-sample hydro-meteorological dataset for the Alps

Author: Christopher Schlemper, Jonas Götte, and Manuela Brunner
Owner: Manuela Brunner
Last update: 17.08.2022

This dataset provides daily streamflow data for 827 catchments in the Central Alps for the period 1970-2017. 
In addition, it provides daily hydro-meteorological time series of precipitation, temperature, and snow-water-equivalent. 
The time series are derived from gridded ERA5-Land data for each catchment.
This dataset accompanies the manuscript by Brunner et al. (2023) and is needed to reproduce their results.

Dataset components:

(1) Shapefile of 827 catchment boundaries: DFStaR_catch_boundaries_1970_2017.shp
The shapefile meta data contains information on: 
- catchment ID (ID, used as a reference for the data files in (2) and (3))
- Country
- Region
- Catchment: catchment outlet location
- River
- Area_km2: catchment area in km2
- elevmean: mean catchment elevation in m.a.s.l.
- elevmedian: median catchment elevation in m.a.s.l.
- elevmin: minimum catchment elevation in m.a.s.l.
- elevmax: maximum catchment elevation in m.a.s.l.
- slopemean: mean catchment slope
- CLC1_ArtiS: CORINE-Landcover class 1: Artificial Surfaces (percentage of catchment area [0-1])
- CLC2_AgriA: CORINE-Landcover class 2: Agricultural areas (percentage of catchment area [0-1])
- CLC3_Forest: CORINE-Landcover class 3: Forest and seminatural areas (percentage of catchment area [0-1])
- CLC4_Wetla: CORINE-Landcover class 4: Wetlands (percentage of catchment area [0-1])
- CLC5_Water: CORINE-Landcover class 5: Water bodies (percentage of catchment area [0-1])
- GlacierPer: percentage of glacier cover  derived from the Randolph Glacier Inventory 

(2) Daily observed streamflow time series (folder: streamflow_time_series)
Files are organized by country: Austria (AT), Switzerland (CH), Germany (DE), and France (FR)
Data was provided by the following national agencies:
Switzerland (Federal Office for the Environment, FOEN)
Austria (Austrian Ministry of Sustainability and Tourism)
France (Banque HYDRO)
Regional agencies:
Bavaria (Bayerisches Landesamt für Umwelt)
Baden-Württemberg (Landesanstalt für Umwelt Baden-Württemberg).
File structure (ID_streamflow.txt):
(a) Date (YYYY-MM-DD)
(b) Discharge (m3/s)

(3) Daily hydrometeorological time series derived from gridded reanalysis data (ERA5-Land) for precipitation, temperature, and snow-water-equivalent (folder: ERA5_Land_time_series)
Files are organized by country, region, and variable:
Countries: Austria (AT), Switzerland (CH), Germany (DE), and France (FR)
Regions in Germany: Baden-Württemberg (BW) and Bavaria (BY)
Variables: precipitation (precip, mm/d), temperature (temp, °C), and snow-water-equivalent (swe, mm)
File structure (ERA5_country_variable.txt):
(a) Date (YYYY-MM-DD)
(remaining rows) time series for station indicated in column name

Related publications:
Brunner, M. I., Götte, J., Schlemper, C., & Van Loon, A. F. (2023). Hydrological drought generation processes and severity are changing in the Alps. Geophysical Research Letters, 50, e2022GL101776. https://doi.org/10.1029/2022GL101776
Munoz-Sabater, J., Dutra, E., Agust ́ı-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., ... (2021) ERA5-Land: A state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13, 4894349–4383.  doi:  10.5194/essd-13-4349-2021

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Related Resources

This resource is described by Brunner, M. I., Götte, J., Schlemper, C., & Van Loon, A. F. (2023). Hydrological drought generation processes and severity are changing in the Alps. Geophysical Research Letters, 50, e2022GL101776. https://doi.org/10.1029/2022GL101776

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
German Research Foundation DFStaR: drought and flood statistics in regulated basins 2100371301

How to Cite

Schlemper, C., J. Götte, M. Brunner (2024). Large-sample hydro-meteorological dataset for the Alps, HydroShare, https://doi.org/10.4211/hs.f1c12fa6c5be4c61a5ec617fa62e13d6

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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