205 citations · 259 across the 6 of their papers we have counts for
6 papers
Precipitaion Nowcasting using Deep Neural Network
Mohamed Chafik Bakkay, Mathieu Serrurier, Valentin Kivachuk Burda +8
Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In…
ARPEGE Cloud Cover Forecast Post-Processing with Convolutional Neural Network
Florian Dupuy, Olivier Mestre, Mathieu Serrurier +7
Cloud cover is crucial information for many applications such as planning land observation missions from space. It remains however a challenging variable to forecast, and Numerical…
Surrogate Models for Rainfall Nowcasting
Naty Citlali Cabrera-Gutiérrez, Hadrien Godé, Jean-Christophe Jouhaud +8
Nowcasting (or short-term weather forecasting) is particularly important in the case of extreme events as it helps prevent human losses. Many of our activities, however, also depen…
Sequential Aggregation of Probabilistic Forecasts -- Applicaton to Wind Speed Ensemble Forecasts
Michaël Zamo, Liliane Bel, Olivier Mestre
In the field of numerical weather prediction (NWP), the probabilistic distribution of the future state of the atmosphere is sampled with Monte-Carlo-like simulations, called ensemb…
Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…
Forest-based methods and ensemble model output statistics for rainfall ensemble forecasting
Maxime Taillardat, Anne-Laure Fougères, Philippe Naveau +1
Rainfall ensemble forecasts have to be skillful for both low precipitation and extreme events. We present statistical post-processing methods based on Quantile Regression Forests (…