Carlos Delgado Torres
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Biography
Carlos Delgado-Torres holds a PhD in Physics from the University of Barcelona, as well as a BSc in Physics and an MSc in Meteorology and Geophysics from the Complutense University of Madrid. During his studies, he completed internships at the Spanish Meteorological Agency (AEMET), the National Institute for Aerospace Technology (INTA), and eltiempo.es. He first joined the Barcelona Supercomputing Center (BSC) for his MSc thesis, focusing on the predictability of Euro-Atlantic weather regimes on interannual to decadal timescales. After completing his MSc, he worked in the private sector as a software developer before returning to BSC. For his PhD, Carlos conducted research in the Earth System Services and Climate Prediction groups at BSC, specialising in decadal climate prediction and predictability for climate services. As part of his doctoral work, he also visited the International Research Institute for Climate and Society (IRI) at Columbia University. Currently, he is a postdoctoral researcher in the Climate Services Team at BSC.
Authored publications
Delgado-Torres, C., Donat, M. G., Gonzalez-Reviriego, N., Caron, L., Athanasiadis, P. J., Bretonnière, P., Dunstone, N. J., Ho, A., Nicoli, D., Pankatz, K., Paxian, A., Pérez-Zanón, N., Cabré, M. S., Solaraju-Murali, B., Soret, A., & Doblas-Reyes, F. J. (2022). Multi-Model Forecast Quality Assessment of CMIP6 Decadal Predictions, Journal of Climate, 35(13), 4363-4382. https://doi.org/10.1175/JCLI-D-21-0811.1
Delgado-Torres, C., Verfaillie, D., Mohino, E., & Donat, M. G. (2022). Representation and annual to decadal predictability of Euro-Atlantic weather regimes in the CMIP6 version of the EC-Earth coupled climate model. Journal of Geophysical Research: Atmospheres, 127, e2022JD036673. https://doi.org/10.1029/2022JD036673
Delgado-Torres, C., Donat, M. G., Soret, A., Gonzalez-Reviriego, N., Bretonnière, P.-A., Ho, A.-C., Pérez-Zanón, N., Samsó Cabré, M., and Doblas-Reyes, F. J. (2023). Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes. Environmental Research Letters, 18 034031. https://doi.org/10.1088/1748-9326/acbbe1
Co-authored publications
De Luca, P., Delgado-Torres, C., Mahmood, R., Samso-Cabre, M., and Donat, M. G. (2023). Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes. Environmental Research Letters, 18 094054. https://doi.org/10.1088/1748-9326/acf389
Donat, M. G., Delgado-Torres, C., De Luca, P., Ortega, P., and Doblas-Reyes, F. J. (2023). How Credibly Do CMIP6 simulations capture historical mean and extreme precipitation changes? Geophysical Research Letters, 50, e2022GL102466. https://doi.org/10.1029/2022GL102466
Liu, Y., Donat, M. G., England, M. H., Alexander, L. V., Hirsch, A. L., and Delgado-Torres, C. (2023). Enhanced multi-year predictability after El Niño and La Niña events. Nature Communications, 14, 6387. https://doi.org/10.1038/s41467-023-42113-9
Pérez-Zanón, N., Caron, L.-P., Terzago, S., Van Schaeybroeck, B., Lledó, L., Manubens, N., Roulin, E., Alvarez-Castro, M. C., Batté, L., Bretonnière, P.-A., Corti, S., Delgado-Torres, C., Domínguez, M., Fabiano, F., Giuntoli, I., von Hardenberg, J., Sánchez-García, E., Torralba, V., and Verfaillie, D. (2022). Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information, Geosci. Model Dev., 15, 6115–6142, https://doi.org/10.5194/gmd-15-6115-2022
Pérez-Zanón, N., Agudetse, V., Baulenas, E., Bretoniere, P.-A., Delgado-Torres, C., González-Reviriego, N., Manrique-Suñén, A., Nicodemou, A., Olid, M., Palma, Ll., Terrado, M., Basile, B., Carteni, F., Dente, A., Esquerra, C., Olani, F., Otero, M., Santos-Alves, F., Torres, M., Valente, J., and Soret, A. (2024). Lessons learned from the co-development of operational climate forecast services for vineyards management. Climate Services, 36, 100513. https://doi.org/10.1016/j.cliser.2024.100513
Mahmood, R., Donat, M. G., Ortega, P., Doblas-Reyes, F. J., Delgado-Torres, C., Samsó, M., and Bretonnière, P.-A. (2022). Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal timescales – a poor man's initialized prediction system, Earth Syst. Dynam., 13, 1437–1450, https://doi.org/10.5194/esd-13-1437-2022