1 citations · 1 across the 3 of their papers we have counts for
6 papers
On equitable scoring functions and optimal forecasting behaviour
Robert J. Taggart, Nicholas Loveday
Equitable scoring functions have a long history in meteorological forecast verification and have recently gained renewed prominence through the use of the Stable Equitable Error in…
Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
Nicholas Loveday, Tracy Hertneky
Recent advances in AI-based weather prediction have led to the development of artificial intelligence weather prediction (AIWP) models with competitive forecast skill compared to t…
Extreme Weather Bench: A framework and benchmark for evaluation of high-impact weather
Amy McGovern, Taylor Mandelbaum, Daniel Rothenberg +6
Forecasting the wide variety of high-impact weather events experienced globally is a challenge for both Artificial Intelligence (AI) and Numerical Weather Prediction (NWP) models a…
WP-MIP: An Artificial Intelligence, Hybrid, and Physically Based Model Intercomparison Project for Weather Prediction
Ron McTaggart-Cowan, Linus Magnusson, Inna Polichtchouk +57
Rapid progress in the field of machine-learning for weather prediction has led to the emergence of algorithms whose forecasting skill can exceed that of traditional physically base…
On the evaluation of time-to-event, survival time and first passage time forecasts
Robert J. Taggart, Nicholas Loveday, Simon Louis
Time-to-event forecasts are essential when decisions depend on event timing. This article develops a framework for evaluating such forecasts when the event has not yet occurred or…
Evaluation and statistical correction of area-based heat index forecasts that drive a heatwave warning service
Nicholas Loveday, Maree Carroll
This study evaluates the performance of the area-based, district heatwave forecasts that drive the Australian heatwave warning service. The analysis involves using a recently devel…