Hydro-climatic data for 925 nearly natural Alpine catchments for stochastic streamflow simulation


Authors:
Owners: Manuela Brunner
Type: Resource
Storage: The size of this resource is 126.8 MB
Created: Nov 08, 2023 at 10:41 a.m.
Last updated: Apr 08, 2024 at 3:25 p.m. (Metadata update)
Published date: Apr 08, 2024 at 3:25 p.m.
DOI: 10.4211/hs.9302d66471e1481ebd8b5723dd3cda42
Citation: See how to cite this resource
Content types: Geographic Feature Content 
Sharing Status: Published
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Downloads: 37
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Abstract

This dataset accompanies a manuscript by Brunner and Gilleland under consideration for publication in Earth's Future: 'Future changes in floods, droughts, and their extents in the Alps: a sensitivity analysis with a non-stationary stochastic streamflow generator'.
It provides daily streamflow, temperature, and precipitation data for 925 nearly natural catchments in the Alps for the period 1981-2016 and a shapefile with information on catchment locations, areas, and elevations.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
50.5739°
East Longitude
18.4167°
South Latitude
43.1283°
West Longitude
4.3238°

Temporal

Start Date: 01/01/1981
End Date: 12/31/2016
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

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., & Gilleland, E. (2024). Future changes in floods, droughts, and their extents in the Alps: A sensitivity analysis with a non‐stationary stochastic streamflow generator. Earth's Future, 12, e2023EF004238. https://doi.org/10.1029/2023EF004238

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
DFG 465747089
SNSF PZ00P2_201818

How to Cite

Brunner, M. (2024). Hydro-climatic data for 925 nearly natural Alpine catchments for stochastic streamflow simulation, HydroShare, https://doi.org/10.4211/hs.9302d66471e1481ebd8b5723dd3cda42

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

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

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