Journal papers

2023
  • Chou C., Marcos-Matamoros R., López-Nevado J. et al. (2023). Comparison of five strategies for seasonal prediction of bioclimatic indicators in the olive sector. Climate Services, 30, 100345. https://doi.org/10.1016/j.cliser.2023.100345
    Keywords: climate services, olive sector, bioclimatic indicator, blending strategy
  • Chou C., Marcos-Matamoros R., Palma Garcia L. et al. (2023). Advanced seasonal predictions for vine management based on bioclimatic indicators tailored to the wine sector. Climate Services, 30, 100343. https://doi.org/10.1016/j.cliser.2023.100343
    Keywords: climate services, wine sector, bioclimatic indicator, blending strategy
  • De Luca P., Delgado-Torres C., Mahmood R. et al. (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
    Keywords: decadal variability, extremes, climate projections, near-term projections, adaptation
  • Delgado-Torres C., Donat M.G., Soret A. et al. (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
    Keywords: decadal climate predictions, extremes, forecast quality assessment, CMIP6
  • Donat, M. G., Delgado-Torres, C., De Luca, P. et al. (2023). How credibly do CMIP6 simulations capture historical mean and extreme precipitation changes? Geophysical Research Letters, 50, e2022GL102466. https://doi.org/10.1029/2022GL102466
    Keywords: CMIP6, precipitation, extremes, trustworthiness, skill
  • Dunstone, N., Smith, D.M., Hardiman, S.C. et al. (2023). Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022. Nature Communications 14, 6544. https://doi.org/10.1038/s41467-023-42377-1
    Keywords: seasonal forecasts, extremes, skill, regional climate, early warning
  • Liu, Y., Donat, M.G., England, M.H. et al. (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
    Keywords: predictability, ENSO, regional climate, interannual, decadal prediction
  • Patrizio, C. R., Athanasiadis P. J., Frankignoul C. et al. (2023). Improved Extratropical North Atlantic Atmosphere–Ocean Variability with Increasing Ocean Model Resolution. Journal of Climate, 36, 8403–8424. https://doi.org/10.1175/JCLI-D-23-0230.1
    Keywords: variability, NAO, sea surface temperature, AMOC, anomalies
  • Pérez-Zanón N., Ho A.C., Chou C. et al. (2023). CSIndicators: Get tailored climate indicators for applications in your sector. Climate Services, 30, 100393. https://doi.org/10.1016/j.cliser.2023.100393
    Keywords: climate services, adaptation, climate prediction, sectoral applications
  • Polkova I., Swingedouw D., Hermanson L. et al. (2023). Initialization shock in the ocean circulation reduces skill in decadal predictions of the North Atlantic subpolar gyre. Frontiers in Climate, 5:1273770. https://doi.org/10.3389/fclim.2023.1273770
    Keywords: AMOC, climate predictions, decadal, skill, subpolar gyre