13 citations · 23 across the 9 of their papers we have counts for
5 papers · 1 filter
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 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…