Ten years ago, humidity observations were thought to give little benefit to global weather
forecasts. Nowadays, at the European Centre for Medium‐range Weather Forecasts …

Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …

Data-driven modeling based on machine learning (ML) is showing enormous potential for
weather forecasting. Rapid progress has been made with impressive results for some …

We assess the value of machine learning as an accelerator for the parameterization
schemes of operational weather forecasting systems, specifically the parameterization of …

This paper describes a new radiation scheme ecRad for use both in the model of the
European Centre for Medium‐Range Weather Forecasts (ECMWF), and off‐line for …

We assess the ability of neural network emulators of physical parametrization schemes in
numerical weather prediction models to aid in the construction of linearized models required …

This paper presents an assessment of the usage of Arctic atmospheric observations in the
Numerical Weather Prediction (NWP) system of the European Centre for Medium‐Range …

All-sky assimilation of infrared (IR) radiances has not yet become operational at any weather
forecasting centre, but it promises to bring new observations in sensitive areas and avoid the …

Institute of Atmospheric Prediction Systems (KIAPS). The workshop focused on facilitating
the advancement of operational data assimilation (DA) systems to improve real-time weather …

Radiances from microwave temperature sounders have been assimilated operationally at
ECMWF for two decades, but observations significantly affected by clouds and precipitation …