Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2187-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2187-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Apr 2017
Research article |
| 21 Apr 2017
Validation of a new SAFRAN-based gridded precipitation product for Spain and comparisons to Spain02 and ERA-Interim
Observatori de l'Ebre (OE), Universitat Ramon Llull – CSIC, Horta Alta 38, 43520 Roquetes, Spain
Marco Turco
Department of Applied Physics, University of Barcelona (UB), Av. Diagonal 647, 08028 Barcelona, Spain
Sixto Herrera
Meteorology Group, Department of Applied Mathematics and Computer Science, Universidad de Cantabria, Avenida de los Castros s/n, 39005 Santander, Spain
Gonzalo Miguez-Macho
Grupo de Física No Lineal, Universidade de Santiago Compostela, Calle Xosé María Suárez Núñez s/n., 15782 Santiago de Compostela, Spain
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- Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data J. Gaona et al. 10.5194/nhess-22-3461-2022
- Long-term sustainability of large water resource systems under climate change: A cascade modeling approach D. Haro-Monteagudo et al. 10.1016/j.jhydrol.2020.124546
- Performance of the State-Of-The-Art Gridded Precipitation Products over Mountainous Terrain: A Regional Study over Austria E. Sharifi et al. 10.3390/rs11172018
- Improvement of low flows simulation in the SASER hydrological modeling chain O. Cenobio-Cruz et al. 10.1016/j.hydroa.2022.100147
- Evaluation of drought representation and propagation in regional climate model simulations across Spain A. Barella-Ortiz & P. Quintana-Seguí 10.5194/hess-23-5111-2019
- The SAFRAN daily gridded precipitation product in Tunisia (1979–2015) Y. Tramblay et al. 10.1002/joc.6181
- Using the Turnover Time Index to Identify Potential Strategic Groundwater Resources to Manage Droughts within Continental Spain D. Pulido-Velazquez et al. 10.3390/w12113281
- Comparison of meteorological and satellite-based drought indices as yield predictors of Spanish cereals D. García-León et al. 10.1016/j.agwat.2018.10.030
- Recent trends reveal decreasing intensity of daily precipitation in Spain R. Serrano‐Notivoli et al. 10.1002/joc.5562
- Considering lacustrine erosion records and the De Ploey erosion model in an examination of mountain catchment erosion susceptibility and precipitation reconstruction D. Allen et al. 10.1016/j.catena.2019.104278
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- Using a new local high resolution daily gridded dataset for Attica to statistically downscale climate projections K. Varotsos et al. 10.1007/s00382-022-06482-z
- The method ADAMONT v1.0 for statistical adjustment of climate projections applicable to energy balance land surface models D. Verfaillie et al. 10.5194/gmd-10-4257-2017
- FYRE Climate: a high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012 A. Devers et al. 10.5194/cp-17-1857-2021
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. 10.5194/gmd-16-427-2023
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- MOPREDAScentury: a long-term monthly precipitation grid for the Spanish mainland S. Beguería et al. 10.5194/essd-15-2547-2023
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Discussed (preprint)
Latest update: 18 Apr 2024
Short summary
The quality of two high-resolution precipitation datasets for Spain at the daily time scale is reported: the new SAFRAN-based dataset and Spain02. ERA-Interim is also included. The precipitation products are compared with observations. SAFRAN and Spain02 have very similar scores, and they perform better than ERA-Interim. The high-resolution gridded products overestimate the number of precipitation days. Both SAFRAN and Spain02 underestimate high precipitation events.
The quality of two high-resolution precipitation datasets for Spain at the daily time scale is...
