Abstract The High-Resolution Rapid Refresh Ensemble (HRRRE) is a 36-member ensemble
analysis system with 9 forecast members that utilizes the Advanced Research version of the …

Ocean tide (OT) background models (BMs) used for a priori de-aliasing of GRACE/GRACE-
FO observations feature distinct spatial uncertainties (primarily in coastal proximity and in …

The accurate prediction of extreme weather events is an important and challenging task, and
has typically relied on numerical simulations of the atmosphere. Here, we combine insights …

Skillful forecasts of extreme weather events have a major socioeconomic relevance. Here,
we compare two complementary approaches to diagnose the predictability of extreme …

Statistical post-processing is an indispensable tool for providing accurate weather forecasts
and early warnings for weather extremes. Most statistical post-processing is univariate, with …

Meteorological ensemble forecasts are nowadays widely used as input of hydrological
models for probabilistic streamflow forecasting. These forcings are frequently biased and …

Clark, M., S. Gangopadhyay, L. Hay, B. Rajagopalan, and R. Wilby, 2004: The Schaake
shuffle: A method for reconstructing space–time variability in forecasted precipitation and …

Potential vorticity (PV) elegantly describes synoptic‐and planetary‐scale dynamics, but it
has received less attention on smaller scales. On the convective scale, PV is characterised …

During recent decades, the use of probabilistic forecasting methods has increased
markedly. However, these predictions still need improvement in uncertainty quantification …

Power ramps are sudden changes in turbine power and must be accurately predicted to
minimize costly imbalances in the electrical grid. Doing so requires reliable wind speed …