Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 8.792 IF 8.792
  • IF 5-year value: 8.414 IF 5-year 8.414
  • CiteScore value: 8.18 CiteScore 8.18
  • SNIP value: 2.620 SNIP 2.620
  • SJR value: 4.885 SJR 4.885
  • IPP value: 7.67 IPP 7.67
  • h5-index value: 28 h5-index 28
  • Scimago H index value: 24 Scimago H index 24
Volume 10, issue 1
Earth Syst. Sci. Data, 10, 303-315, 2018
https://doi.org/10.5194/essd-10-303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Earth Syst. Sci. Data, 10, 303-315, 2018
https://doi.org/10.5194/essd-10-303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Peer-reviewed comment 20 Feb 2018

Peer-reviewed comment | 20 Feb 2018

Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014

Esteban Alonso-González1, J. Ignacio López-Moreno1, Simon Gascoin2, Matilde García-Valdecasas Ojeda3, Alba Sanmiguel-Vallelado1, Francisco Navarro-Serrano1, Jesús Revuelto4, Antonio Ceballos5, María Jesús Esteban-Parra3, and Richard Essery6 Esteban Alonso-González et al.
  • 1Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Zaragoza, Spain
  • 2Centre d'Etudes Spatiales de la Biosphère (CESBIO), UPS/CNRS/IRD/CNES, Toulouse, France
  • 3Departamento de Física Aplicada, Facultad de Ciencias, Universidad de Granada, Granada, Spain
  • 4Météo-France – CNRS, CNRM (UMR3589), Centre d'Etudes de la Neige, Grenoble, France
  • 5Dept. Geografía, Universidad de Salamanca, Salamanca, Spain
  • 6School of GeoSciences, University of Edinburgh, Edinburgh, UK

Abstract. We present snow observations and a validated daily gridded snowpack dataset that was simulated from downscaled reanalysis of data for the Iberian Peninsula. The Iberian Peninsula has long-lasting seasonal snowpacks in its different mountain ranges, and winter snowfall occurs in most of its area. However, there are only limited direct observations of snow depth (SD) and snow water equivalent (SWE), making it difficult to analyze snow dynamics and the spatiotemporal patterns of snowfall. We used meteorological data from downscaled reanalyses as input of a physically based snow energy balance model to simulate SWE and SD over the Iberian Peninsula from 1980 to 2014. More specifically, the ERA-Interim reanalysis was downscaled to 10km × 10km resolution using the Weather Research and Forecasting (WRF) model. The WRF outputs were used directly, or as input to other submodels, to obtain data needed to drive the Factorial Snow Model (FSM). We used lapse rate coefficients and hygrobarometric adjustments to simulate snow series at 100m elevations bands for each 10km × 10km grid cell in the Iberian Peninsula. The snow series were validated using data from MODIS satellite sensor and ground observations. The overall simulated snow series accurately reproduced the interannual variability of snowpack and the spatial variability of snow accumulation and melting, even in very complex topographic terrains. Thus, the presented dataset may be useful for many applications, including land management, hydrometeorological studies, phenology of flora and fauna, winter tourism, and risk management. The data presented here are freely available for download from Zenodo (https://doi.org/10.5281/zenodo.854618). This paper fully describes the work flow, data validation, uncertainty assessment, and possible applications and limitations of the database.

Special issue
Download
Short summary
We present a new daily gridded snow depth and snow water equivalent database over the Iberian Peninsula from 1980 to 2014 structured in common elevation bands. The data have proved their consistency with in situ observations and remote sensing data (MODIS). The presented dataset may be useful for many applications, including land management, hydrometeorological studies, phenology of flora and fauna, winter tourism and risk management.
We present a new daily gridded snow depth and snow water equivalent database over the Iberian...
Citation
Share