28 citations · 43 across the 4 of their papers we have counts for
4 papers
Deep learning for quality control of surface physiographic fields using satellite Earth observations
Tom Kimpson, Margarita Choulga, Matthew Chantry +4
A purposely built deep learning algorithm for the Verification of Earth-System ParametERisation (VESPER) is used to assess recent upgrades of the global physiographic datasets unde…
The impact of stochastic physics on climate sensitivity in EC-Earth
K. Strommen, P. A. G. Watson, T. N. Palmer
Stochastic schemes, designed to represent unresolved sub-grid scale variability, are frequently used in short and medium-range weather forecasts, where they are found to improve se…
Oceanic stochastic parametrizations in a seasonal forecast system
M. Andrejczuk, F. C. Cooper, S. Juricke +3
We study the impact of three stochastic parametrizations in the ocean component of a coupled model, on forecast reliability over seasonal timescales. The relative impacts of these…
On the reliability of Seasonal Climate Forecasts
Antje Weisheimer, T. N. Palmer
Seasonal climate forecasts are being used increasingly across a range of application sectors. A recent UK governmental report asked: How good are seasonal climate forecasts on a sc…