3 citations · 4 across the 3 of their papers we have counts for
3 papers
Probabilistic measures afford fair comparisons of AIWP and NWP model output
Tilmann Gneiting, Tobias Biegert, Kristof Kraus +3
We introduce a new measure for fair and meaningful comparisons of single-valued output from artificial intelligence based weather prediction (AIWP) and numerical weather prediction…
Physics-based vs. data-driven 24-hour probabilistic forecasts of precipitation for northern tropical Africa
Eva-Maria Walz, Peter Knippertz, Andreas H. Fink +2
Numerical weather prediction (NWP) models struggle to skillfully predict tropical precipitation occurrence and amount, calling for alternative approaches. For instance, it has been…
Evaluating Probabilistic Classifiers: The Triptych
Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan +1
Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confidence scores, are ubiquitous in science and society, and methods for evaluating an…