Operational and experimental snow observation systems in the upper Rofental: data from 2017–2020
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.
Michael Warscher et al.
Meteorological and snow measurements at station Proviantdepot in 2019 https://doi.pangaea.de/10.1594/PANGAEA.919324
Continuous meteorological observations and snow measurements from Latschbloder 2020 https://doi.pangaea.de/10.1594/PANGAEA.928649
Continuous meteorological observations and snow measurements from Latschbloder 2019 https://doi.pangaea.de/10.1594/PANGAEA.918097
Continuous meteorological observations and snow measurements from Latschbloder 2018 https://doi.pangaea.de/10.1594/PANGAEA.918096
Continuous meteorological observations and snow measurements from Latschbloder 2017 https://doi.pangaea.de/10.1594/PANGAEA.918094
Continuous meteorological observations and snow measurements at station Bella Vista in 2020 https://doi.pangaea.de/10.1594/PANGAEA.928599
Continuous meteorological observations and snow measurements at station Bella Vista in 2019 https://doi.pangaea.de/10.1594/PANGAEA.918690
Continuous meteorological observations and snow measurements at station Bella Vista in 2018 https://doi.pangaea.de/10.1594/PANGAEA.918688
Continuous meteorological observations and snow measurements at station Bella Vista in 2017 https://doi.pangaea.de/10.1594/PANGAEA.918687
Meteorological and snow measurements at station Proviantdepot in 2020 https://doi.pangaea.de/10.1594/PANGAEA.928595
Michael Warscher et al.
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The current manuscript draft on « Operational and experimental snow observation systems in the upper Rofental: data from 2017 - 2020” describes new weather and snow sensors installed and corresponding data collected in the Rofental catchment.
Unfortunately, with the exception of the snow drift sensor, the authors miss the opportunity to introduce the new sensors in detail and to describe the applied data curation. Moreover, the available data are sometimes carelessly interpreted without any critical plausibility assessment or references to other studies. The possibility of wrong measurements, especially regarding SPA and SGG, was not considered. If really no manual control measurements were performed during the three years, it should at least be mentioned and explained. Nevertheless, the new measurement infrastructure and the corresponding data are worth to be published as soon as the following points have been addressed:
L34: Matiu et al. 2021
L55: Since the paper will not been published before summer 2021 I’d recommend to also include the winter season 2020/21.
L63: (same special issue)?
L67: The Rofenache river
Fig. 1: Very bad map. Not even valleys or ridges are easy recognizable. Many geographical locations described in the text are missing in the map.
L95: “..the existing weather stations…” how many?
L96: “..at several locations..” What do you want to say?
L113: 1.5 m does not make sense for high alpine AWS? What is the reason. Add the exact height above ground for each sensor Table 1-3. This is important for many applications. Moreover, it is in contradiction to the min/max height of 2 m written e.g. here: https://doi.pangaea.de/10.1594/PANGAEA.918096
L123: 10 min mean values?
L124; I suggest to use HS instead of SD, because it is the official abbreviation.
L126: …by two European Avalanche…
L134: Why do you mention Sommer SSG-2 and not also accordingly the same for the snow depth and snow temperature sensors?
L136: The new instruments complement…
L142: .. installed at the main station
Fig2: The red arrow marks the main “exposed” AWSS. The blue…
L155: Why Sommer is mentioned for the SIR sensor, but not the SCA and the SPA-2 sensors? Be consistent!
L163: time resolution, raw data , quality controlled?
L164: I’d recommend to provide PDFs about the instruments used instead of manufacturer URLs, which can change any time.
L171: time zone?
L180: How do you manage to have enough power for heating?
L190: In 4.2.1, there is only snow depth described despite the SWE mentioned in the title.
Fig 7: Please provide the same figure for SWE.
L323: the technical details of the instruments are not all described!
L324: It’s hard to believe that no manual measurements were performed during the three years to check the plausibility and representativity of the automatic snow measurements?
L335: Can you tell anything about funding?
Table 1: EE08 instead of E08.
Is the air temperature ventilated?
Is the radiation sensor ventilated? What is the source of the given accuracy? It should rather be given in percentage.
Table4: The calculated snow drift values are wrong!