most citedAIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

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…

cs.CE2020

TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall

Rilwan Adewoyin, Peter Dueben, Peter Watson +2

Climate models (CM) are used to evaluate the impact of climate change on the risk of floods and strong precipitation events. However, these numerical simulators have difficulties r…