activity
20232026
most citedscores: A Python package for verifying and evaluating models and predictions with xarray

13 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

math.ST2026

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…

math.ST2026

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…

stat.AP2025★ 3 cited

Warnings based on risk matrices: a coherent framework with consistent evaluation

Robert J. Taggart, David J. Wilke

Risk matrices are widely used across a range of fields and have found increasing utility in warning decision practices globally. However, their application in this context presents…

physics.ao-ph2024★ 13 cited

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…

physics.ao-ph2024★ 3 cited

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…

stat.AP2023★ 1 cited

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…