13 citations · 23 across the 9 of their papers we have counts for
10 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…
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…
Evaluating time-to-event forecasts under fixed-horizon right-censoring
Robert J. Taggart, Nicholas Loveday, Simon Louis
Time-to-event forecasts frequently arise in applications with finite prediction or decision horizons, including in operational meteorology, hydrology, warranty analysis and insuran…
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…
scores: A Python package for verifying and evaluating models and predictions with xarray
Tennessee Leeuwenburg, Nicholas Loveday, Elizabeth E. Ebert +8
`scores` is a Python package containing mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models. It supports labelled n-dimensi…
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…
The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
Nicholas Loveday, Deryn Griffiths, Tennessee Leeuwenburg +9
Forecast verification is critical for continuous improvement in meteorological organizations. The Jive verification system was originally developed to assess the accuracy of public…
A User-Focused Approach to Evaluating Probabilistic and Categorical Forecasts
Nicholas Loveday, Robert Taggart, Mohammadreza Khanarmuei
A user-focused verification approach for evaluating probability forecasts of binary outcomes (also known as probabilistic classifiers) is demonstrated that is (i) based on proper s…
A scoring framework for tiered warnings and multicategorical forecasts based on fixed risk measures
Robert Taggart, Nicholas Loveday, Deryn Griffiths
The use of tiered warnings and multicategorical forecasts are ubiquitous in meteorological operations. Here, a flexible family of scoring functions is presented for evaluating the…