This site requires Cookies enabled in your browser for login.
Updating ...
WaterNet Home
WaterNet
for
pour le
Canada
Menu
WaterNet
Home
GWFO
Home
Catalogue
Master Index
Data
Centre
X
Find Data By Variable Find Data By Site, Facility, or Deployable Show Near-realtime Telemetry (7 day)
Collections
X
Defaults
Select All
Websites
X
Global Water Futures Observatories (GWFO) Global Water Futures (GWF) Global Institute for Water Security (GIWS) International Network of Alpine Research Catchment Hydrology
Legacy Research Programs
X
Changing Cold Regions Network (CCRN) Drought Research Initiative (DRI) International Network of Alpine Research Catchment Hydrology (Legacy Site) Improving Processes & Parameterization for Prediction in Cold Regions Hydrology (IP3) The Mackenzie Global Energy and Water Cycle Experiment (GEWEX) Study (MAGS)
Legacy sites
Map
Utilities
X
Account Settings Create a New Record Record List Alias List Editor
Edit Data Centre
Data Types
. . .
X
Clear
Select All
Advanced Search
Go to Top⇡
Related items loading ...
Fetching Chart ...
Overview Research Site Status and Provenance Access and Downloads
Dataset Title
Continuous meteorological and snow hydrological measurements since 2013 from three automatic weather stations (AWS) in the upper Rofental, Ötztal Alps, Austria
Dataset DOI
https://doi.org/10.5880/fidgeo.2023.037
Related Paper DOIs (one per line)
https://doi.org/10.5194/essd-16-3579-2024
Abstract
The data comprises time series from three automatic meteorological and snow-hydrological stations situated in the Rofental (1891–3772 m a.s.l., Ötztal Alps, Austria). The stations are situated at 2737, 2805, and 2919 m a.s.l. and include automatic measurements of meteorological (temperature, precipitation, humidity, wind speed, and radiation fluxes) and snow-hydrological variables (snow depth, snow water equivalent, volumetric solid and liquid water content, snow density, layered snow temperature profiles, snow surface temperature, and snow drift).

The data are sampled by fully automatic weather stations (AWS). The data retrieved by the sensors is stored on a logger in 10 min. temporal resolution. The data is continuously transferred by GSM to a server. The data processing consists of transfer of the raw data from the logger to a data server, basic processing steps (e.g., temperature correction long-wave radiation, decumulating precipitation measurements), and a semi-automatic correction for erroneous values.
Program Affiliations
INARCH: International Network of Alpine Research Catchment Hydrology
Creators and Contributors
NameRoleEmailInstitution
Marke, Thomas
Rottler, Erwin
Strasser, Ulrich
Warscher, Michael
michael.warscher@uibk.ac.at
Keywords
Keyword
meteorological stations
snow-hydrological measurements
Alpine catchment
Citations
Department of Geography, University of Innsbruck (2024): Continuous meteorological and snow hydrological measurements since 2013 from three automatic weather stations (AWS) in the upper Rofental, Ötztal Alps, Austria. GFZ Data Services. https://doi.org/10.5880/fidgeo.2023.037
Additional Information
Supplement to:
Warscher, Michael; Marke, Thomas; Rottler, Erwin; Strasser, Ulrich (2024): Operational and experimental snow observation systems in the upper Rofental: data from 2017 to 2023. Earth System Science Data. https://doi.org/10.5194/essd-16-3579-2024
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
2
Dataset Creation Date
2026-03-05
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
◉ As needed
○ Irregular
○ None planned
○ Unknown
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
1 November 2023: publication of initial version

5 March 2026: release of Version 2.0
Terms of Use
License: CC BY 4.0
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Datasets and Real-time Data Feeds
Data Centre Postings
Download Links and Instructions
https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=1431de08-8535-11ee-967a-4ffbfe06208e
Total Size of all Dataset Files (GB)
88 MB
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
▣ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
◻ CSV files (.csv - comma or tab separated value files)
◻ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
◻ Text files (.txt)
◻ Word document files (.docx, .doc)
◻ Other (Please specify in field below)
© 2026 - WaterNet Version 2026-08-21
Global Water Futures Observatories
Powered by
G W F Net
T-2026-08-28-o1sZgEKOb60iA8p4JETXNAw Dataset 1.3