Journal papers

  • 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.
    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.
    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.
    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.
    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.
    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.
    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.
    Keywords: predictability, ENSO, regional climate, interannual, decadal prediction
  • 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.
    Keywords: climate services, adaptation, climate prediction, sectoral applications