Preprints
https://doi.org/10.5194/essd-2021-68
https://doi.org/10.5194/essd-2021-68

  13 Apr 2021

13 Apr 2021

Review status: this preprint was under review for the journal ESSD but the revision was not accepted.

Operational and experimental snow observation systems in the upper Rofental: data from 2017–2020

Michael Warscher, Thomas Marke, and Ulrich Strasser Michael Warscher et al.
  • Department of Geography, University of Innsbruck, Innsbruck, 6020, Austria

Abstract. According to the living data process in ESSD, this publication presents extensions of a comprehensive hydrometeorological and glaciological data set for several research sites in the Rofental (1891–3772 m a.s.l., Ötztal Alps, Austria). Whereas the original dataset has been published in a first original version in 2018 (https://doi.org/10.5194/essd-10-151-2018), the new time series presented here originate from meteorological and snow-hydrological recordings that have been collected from 2017 to 2020. Some data sets represent continuations of time series at existing locations, others come from new installations complementing the scientific monitoring infrastructure in the research catchment. Main extensions are a fully equipped automatic weather and snow monitoring station, as well as extensive additional installations to enable continuous observation of snow cover properties. Installed at three high Alpine locations in the catchment, these include automatic measurements of snow depth, snow water equivalent, volumetric solid and liquid water content, snow density, layered snow temperature profiles, and snow surface temperature. One station is extended by a particular arrangement of two snow depth and water equivalent recording devices to observe and quantify wind-driven snow redistribution. They are installed at nearby wind-exposed and sheltered locations and are complemented by an acoustic-based snow drift sensor.

The data sets represent a unique time series of high-altitude mountain snow and meteorology observations. We present three years of data for temperature, precipitation, humidity, wind speed, and radiation fluxes from three meteorological stations. The continuous snow measurements are explored by combined analyses of meteorological and snow data to show typical seasonal snow cover characteristics. The potential of the snow drift observations are demonstrated with examples of measured wind speeds, snow drift rates and redistributed snow amounts in December 2019 when a tragic avalanche accident occurred in the vicinity of the station. All new data sets are provided to the scientific community according to the Creative Commons Attribution License by means of the PANGAEA repository (https://www.pangaea.de/?q=%40ref104365).

Michael Warscher et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-68', Anonymous Referee #1, 28 Apr 2021
    • AC1: 'Reply on RC1', Michael Warscher, 17 Jul 2021
  • RC2: 'Comment on essd-2021-68', Anonymous Referee #2, 07 May 2021
    • AC2: 'Reply on RC2', Michael Warscher, 17 Jul 2021
  • RC3: 'Comment on essd-2021-68', Anonymous Referee #3, 18 May 2021
    • AC3: 'Reply on RC3', Michael Warscher, 17 Jul 2021
  • RC4: 'Comment on essd-2021-68', Anonymous Referee #4, 21 May 2021
    • AC4: 'Reply on RC4', Michael Warscher, 17 Jul 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-68', Anonymous Referee #1, 28 Apr 2021
    • AC1: 'Reply on RC1', Michael Warscher, 17 Jul 2021
  • RC2: 'Comment on essd-2021-68', Anonymous Referee #2, 07 May 2021
    • AC2: 'Reply on RC2', Michael Warscher, 17 Jul 2021
  • RC3: 'Comment on essd-2021-68', Anonymous Referee #3, 18 May 2021
    • AC3: 'Reply on RC3', Michael Warscher, 17 Jul 2021
  • RC4: 'Comment on essd-2021-68', Anonymous Referee #4, 21 May 2021
    • AC4: 'Reply on RC4', Michael Warscher, 17 Jul 2021

Michael Warscher et al.

Data sets

Meteorological and snow measurements at station Proviantdepot in 2019 Marke, Thomas; Strasser, Ulrich; Warscher, Michael https://doi.pangaea.de/10.1594/PANGAEA.919324

Continuous meteorological observations and snow measurements from Latschbloder 2020 Warscher, Michael; Strasser, Ulrich https://doi.pangaea.de/10.1594/PANGAEA.928649

Continuous meteorological observations and snow measurements from Latschbloder 2019 Warscher, Michael; Strasser, Ulrich https://doi.pangaea.de/10.1594/PANGAEA.918097

Continuous meteorological observations and snow measurements from Latschbloder 2018 Warscher, Michael; Strasser, Ulrich https://doi.pangaea.de/10.1594/PANGAEA.918096

Continuous meteorological observations and snow measurements from Latschbloder 2017 Warscher, Michael; Strasser, Ulrich https://doi.pangaea.de/10.1594/PANGAEA.918094

Continuous meteorological observations and snow measurements at station Bella Vista in 2020 Strasser, Ulrich; Warscher, Michael https://doi.pangaea.de/10.1594/PANGAEA.928599

Continuous meteorological observations and snow measurements at station Bella Vista in 2019 Strasser, Ulrich; Warscher, Michael https://doi.pangaea.de/10.1594/PANGAEA.918690

Continuous meteorological observations and snow measurements at station Bella Vista in 2018 Strasser, Ulrich; Warscher, Michael https://doi.pangaea.de/10.1594/PANGAEA.918688

Continuous meteorological observations and snow measurements at station Bella Vista in 2017 Strasser, Ulrich; Warscher, Michael https://doi.pangaea.de/10.1594/PANGAEA.918687

Meteorological and snow measurements at station Proviantdepot in 2020 Warscher, Michael; Strasser, Ulrich https://doi.pangaea.de/10.1594/PANGAEA.928595

Michael Warscher et al.

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Short summary
Continuous observations of snow and climate in high altitudes are still sparse. We present data from automatic weather and snow stations in the Ötztal Alps (Austria) that include continuous recordings of snow cover properties (snow depth, water equivalent, density, solid and liquid water content, snow temperature profiles, surface temperature, snow drift). The data can be used in different scientific fields, as well as in operational applications, i.e., avalanche warning and flood forecasting.