PhD Alfredo Ollero Ojeda
Principal investigador. Physical Geography Area. Department of Geography and Territorial Planning. University of Zaragoza
PhD Klemen Novak
Collaborating member Investigador. University of Ljubljana · Department of Wood Science and Technology
PhD Ernesto Tejedor Vargas
Effective researcher. Postdoctoral Research Associate. Dept. of Atmospheric and Environmental Sciences. University at Albany (USA)
PhD Miguel Ángel Saz Sánchez
Effective researcher. Regional Geographic Analysis Area. Department of Geography and Territorial Planning. University of Zaragoza.
PhD José María Cuadrat Prats
Effective researcher. Regional Geographic Analysis Area. Department of Geography and Territorial Planning. University of Zaragoza
Spatially based reconstruction of daily precipitation instrumental data series
ABSTRACT: This work presents a method for the reconstruction of fragmentary daily precipitation datasets. The method aims to preserve the local and temporal variability characteristic of high-frequency precipitation data, and does not use the time-structure of the data. Based on the precipitation values recorded at closest neighbours during a target day, 2 reference values (RVs) … Leer más
Recent trends reveal decreasing intensity of daily precipitation in Spain.
Serrano-Notivoli, R., Beguería S, Saz, M.A., de Luis, M. (2018) Recent trends reveal decreasing intensity of daily precipitation in Spain. International Journal of Climatology https://doi.org/10.1002/joc.5562 [PDF]
PhD José Javier Peguero Pina
Effective researcher. CITA-Gob. of Aragon. Researcher of the Forest Resources Unit of the Agrifood Research and Technology Center of the Government of Aragón
SPREAD: A high-resolution daily gridded precipitation dataset for Spain
Abstract. A high-resolution daily gridded precipitation dataset was built from raw data of 12,858 observatories covering a 10period from 1950 to 2012 in peninsular Spain and 1971 to 2012 in Balearic and Canary Islands. The original data were quality controlled and gaps were filled on each day and location independently. Using the serially-complete dataset, a … Leer más