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
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
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 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 10 km  ×  10 km 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 100 m elevations bands for each 10 km  ×  10 km 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.

Citation: Alonso-González, E., López-Moreno, J. I., Gascoin, S., García-Valdecasas Ojeda, M., Sanmiguel-Vallelado, A., Navarro-Serrano, F., Revuelto, J., Ceballos, A., Esteban-Parra, M. J., and Essery, R.: Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014, Earth Syst. Sci. Data, 10, 303-315, https://doi.org/10.5194/essd-10-303-2018, 2018.
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...
Share