9 citations · 24 across the 7 of their papers we have counts for
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physics.ao-ph2024★ 9 cited
AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score
Simon Lang, Mihai Alexe, Mariana C. A. Clare +15
Over the last three decades, ensemble forecasts have become an integral part of forecasting the weather. They provide users with more complete information than single forecasts as…
physics.ao-ph2024★ 8 cited
Unbiased calculation, evaluation, and calibration of ensemble forecast anomalies
Christopher D. Roberts, Martin Leutbecher
Long-range ensemble forecasts are typically verified as anomalies with respect to a lead-time dependent climatological mean to remove the influence of systematic biases. However, c…
stat.ME2024
Ensemble size dependence of the logarithmic score for forecasts issued as multivariate normal distributions
Martin Leutbecher, Sándor Baran
Multivariate probabilistic verification is concerned with the evaluation of joint probability distributions of vector quantities such as a weather variable at multiple locations or…