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Volume 9, issue 2
Earth Syst. Sci. Data, 9, 993–1005, 2017
https://doi.org/10.5194/essd-9-993-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Hydrometeorological data from mountain and alpine research...

Earth Syst. Sci. Data, 9, 993–1005, 2017
https://doi.org/10.5194/essd-9-993-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Peer-reviewed comment 13 Dec 2017

Peer-reviewed comment | 13 Dec 2017

Meteorological and snow distribution data in the Izas Experimental Catchment (Spanish Pyrenees) from 2011 to 2017

Jesús Revuelto1,2, Cesar Azorin-Molina1,3, Esteban Alonso-González1, Alba Sanmiguel-Vallelado1, Francisco Navarro-Serrano1, Ibai Rico1,4, and Juan Ignacio López-Moreno1 Jesús Revuelto et al.
  • 1Pyrenean Institute of Ecology, CSIC, Zaragoza, Spain
  • 2Météo-France – CNRS, CNRM (UMR3589), Centre d'Etudes de la Neige, Grenoble, France
  • 3Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
  • 4University of the Basque Country. Department of Geography, Prehistory and Archaeology, Vitoria, Spain

Abstract. This work describes the snow and meteorological data set available for the Izas Experimental Catchment in the Central Spanish Pyrenees, from the 2011 to 2017 snow seasons. The experimental site is located on the southern side of the Pyrenees between 2000 and 2300 m above sea level, covering an area of 55 ha. The site is a good example of a subalpine environment in which the evolution of snow accumulation and melt are of major importance in many mountain processes. The climatic data set consists of (i) continuous meteorological variables acquired from an automatic weather station (AWS), (ii) detailed information on snow depth distribution collected with a terrestrial laser scanner (TLS, lidar technology) for certain dates across the snow season (between three and six TLS surveys per snow season) and (iii) time-lapse images showing the evolution of the snow-covered area (SCA). The meteorological variables acquired at the AWS are precipitation, air temperature, incoming and reflected solar radiation, infrared surface temperature, relative humidity, wind speed and direction, atmospheric air pressure, surface temperature (snow or soil surface), and soil temperature; all were taken at 10 min intervals. Snow depth distribution was measured during 23 field campaigns using a TLS, and daily information on the SCA was also retrieved from time-lapse photography. The data set (https://doi.org/10.5281/zenodo.848277) is valuable since it provides high-spatial-resolution information on the snow depth and snow cover, which is particularly useful when combined with meteorological variables to simulate snow energy and mass balance. This information has already been analyzed in various scientific studies on snow pack dynamics and its interaction with the local climatology or topographical characteristics. However, the database generated has great potential for understanding other environmental processes from a hydrometeorological or ecological perspective in which snow dynamics play a determinant role.

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This work describes the snow and meteorological data set available for the Izas Experimental Catchment in the Central Spanish Pyrenees, from the 2011 to 2017 snow seasons. The climatic data set consists of (i) continuous meteorological variables acquired from an automatic weather station (AWS), (ii) detailed information on snow depth distribution collected with a terrestrial laser scanner for certain dates and (iii) time-lapse images showing the evolution of the snow-covered area.
This work describes the snow and meteorological data set available for the Izas Experimental...
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