Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2547-2023
https://doi.org/10.5194/essd-15-2547-2023
Data description paper
 | 
23 Jun 2023
Data description paper |  | 23 Jun 2023

MOPREDAScentury: a long-term monthly precipitation grid for the Spanish mainland

Santiago Beguería, Dhais Peña-Angulo, Víctor Trullenque-Blanco, and Carlos González-Hidalgo

Related authors

Extreme heat and mortality in the State of Rio de Janeiro in the 2023/24 season: attribution to climate change and ENSO
Soledad Collazo, David Barriopedro, Ricardo García-Herrera, and Santiago Beguería
EGUsphere, https://doi.org/10.5194/egusphere-2025-792,https://doi.org/10.5194/egusphere-2025-792, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Near-real-time vegetation monitoring and historical database (1981–present) for the Iberian Peninsula and the Balearic Islands
Magí Franquesa, Fergus Reig, Manuel Arretxea, Maria Adell-Michavila, Amar Halifa-Marín, Daniel Vilas, Santiago Beguería, and Sergio Martín Vicente-Serrano
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-351,https://doi.org/10.5194/essd-2024-351, 2025
Preprint under review for ESSD
Short summary
Reference crop evapotranspiration database in Spain (1961–2014)
Miquel Tomas-Burguera, Sergio M. Vicente-Serrano, Santiago Beguería, Fergus Reig, and Borja Latorre
Earth Syst. Sci. Data, 11, 1917–1930, https://doi.org/10.5194/essd-11-1917-2019,https://doi.org/10.5194/essd-11-1917-2019, 2019
Short summary
STEAD: a high-resolution daily gridded temperature dataset for Spain
Roberto Serrano-Notivoli, Santiago Beguería, and Martín de Luis
Earth Syst. Sci. Data, 11, 1171–1188, https://doi.org/10.5194/essd-11-1171-2019,https://doi.org/10.5194/essd-11-1171-2019, 2019
Short summary
The impact of drought on the productivity of two rainfed crops in Spain
Marina Peña-Gallardo, Sergio Martín Vicente-Serrano, Fernando Domínguez-Castro, and Santiago Beguería
Nat. Hazards Earth Syst. Sci., 19, 1215–1234, https://doi.org/10.5194/nhess-19-1215-2019,https://doi.org/10.5194/nhess-19-1215-2019, 2019
Short summary

Cited articles

Beguería, S.: Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability, Int. J. Climatol., 36, 3413–3422, 2016. 
Beguería, S., Peña-Angulo, D., Trullenque-Blanco, V., and González-Hidalgo, C.: MOPREDAScentury: a long-term monthly precipitation grid for the Spanish mainland, digitalCSIC [dataset], https://doi.org/10.20350/digitalCSIC/15136, 2023. 
Damianou, A. C. and Lawrence, N. D.: Deep Gaussian Processes, arXiv [preprint], https://doi.org/10.48550/arXiv.1211.0358, 2012. 
Deitch, M. J., Sapundjieff, M. J., and Feirer, S.T.: Characterizing Precipitation Variability and Trends in the World's Mediterranean-Climate Areas, Water, 9, 259, https://doi.org/10.3390/W9040259, 2017. 
Caloiero, T., Caloiero, P., and Frustaci, F.: Long-term precipitation trend analysis in Europe and in the Mediterranean basin, Water Environ. J., 32, 433–445, https://doi.org/10.1111/wej.12346, 2018. 
Download
Short summary
A gridded dataset on monthly precipitation over mainland Spain between spans 1916–2020. The dataset combines ground observations from the Spanish National Climate Data Bank and new data rescued from meteorological yearbooks published prior to 1951, which almost doubled the number of weather stations available during the first decades of the 20th century. Geostatistical techniques were used to interpolate a regular 10 x 10 km grid.
Share
Altmetrics
Final-revised paper
Preprint