422 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of QueenslandAU5 papers
- National Institute of Information and Communications TechnologyJP4 papers
- National Oceanic and Atmospheric AdministrationUS4 papers
- Academy of AthensGR3 papers
- ARC Centre of Excellence for Dark Matter Particle PhysicsAU3 papers
- Australian National UniversityAU3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Dublin Institute For Advanced StudiesIE3 papers
- Electronics and Telecommunications Research InstituteKR3 papers
- Georgia State UniversityUS3 papers
- Imperial College LondonGB3 papers
- Institute of Theoretical PhysicsCN3 papers
8 papers · 1 filter
Statistical post-processing yields accurate probabilistic forecasts from Artificial Intelligence weather models
Belinda Trotta, Robert Johnson, Catherine de Burgh-Day +7
Artificial Intelligence (AI) weather models are now reaching operational-grade performance for some variables, but like traditional Numerical Weather Prediction (NWP) models, they…
Asymmetric response of the North Atlantic gyres to the North Atlantic Oscillation
Dhruv Bhagtani, Andy McC. Hogg, Ryan M. Holmes +2
The North Atlantic Oscillation (NAO) is a leading mode of atmospheric variability, affecting the North Atlantic Ocean on sub-seasonal to multi-decadal timescales. The NAO changes 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…
Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
MengMeng Han, Tennessee Leeuwenburg, Brad Murphy
Site-specific weather forecasts are essential to accurate prediction of power demand and are consequently of great interest to energy operators. However, weather forecasts from cur…
A Radar-Based Hail Climatology of Australia
Jordan P. Brook, Joshua S. Soderholm, Alain Protat +2
In Australia, hailstorms present considerable public safety and economic risks, where they are considered the most damaging natural hazard in terms of annual insured losses. Despit…
The Effects of Spatial Interpolation on a Novel, Dual-Doppler 3D Wind Retrieval Technique
Jordan P. Brook, Alain Protat, Corey K. Potvin +2
Three-dimensional wind retrievals from ground-based Doppler radars have played an important role in meteorological research and nowcasting over the past four decades. However, in r…
Weather Radar in Nepal: Opportunities and Challenges in Mountainous Region
Rocky Talchabhadel, Ganesh R. Ghimire, Sanjib Sharma +7
Extreme rainfall is one of the major causes of natural hazards (for example flood, landslide, and debris flow) in the central Himalayan region, Nepal. The performance of strategies…
An iterative ensemble Kalman filter in presence of additive model error
Pavel Sakov, Jean-Matthieu Haussaire, Marc Bocquet
The iterative ensemble Kalman filter (IEnKF) in a deterministic framework was introduced in Sakov et al. (2012) to extend the ensemble Kalman filter (EnKF) and improve its performa…