• Uncertainties in the observational reference: implications in skill assessment and model ranking of seasonal predictions 

  Ramon, J; Lledó, L; Ferro, CAT; et al. (Wiley / Royal Meteorological Society, 2023)

  The probabilistic skill of seasonal prediction systems is often inferred using reanalysis data, assuming these benchmark observations to be error-free. However, an increasing number of studies report non-negligible levels ...

• European Storm Type Dataset 

  Catto, J; Dowdy, A (University of Exeter, 24 November 2023)

• Refracted Selves 

  Nagaraja, CH (Taylor & Francis, 6 October 2023)

• DSLA 2023: Facing the dangers of data illiteracy 

  Gascon, GM; Wallman, KK; Ravula, S; et al. (Oxford University Press (OUP) / The Royal Statistical Society, 6 October 2023)

  The Data Science and Literacy Act (DSLA) of 2023 aims to boost data literacy and data science education across the USA. Gregg M. Gascon, Katherine K. Wallman, Sridhar Ravula, Joseph Cappelleri, Julia Lee, Kristian Lum, ...

• The Relationship between Model Biases in East Asian Summer Monsoon Rainfall and Land Evaporation 

  Geen, R; Pietschnig, M; Agrawal, S; et al. (Springer, 9 May 2023)

  The East Asian Summer Monsoon (EASM) provides the majority of annual rainfall to countries in East Asia. Although state-of-the-art models broadly project increased EASM rainfall, the spread of projections is large and ...

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