Publications related to Global Forecast System

Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic

Athanasios Nenes, Feng Xu

Accurately capturing cloud condensation nuclei (CCN) concentrations is key to understanding the aerosol-cloud interactions that continue to feature the highest uncertainty amongst numerous climate forcings. In situ CCN observations are sparse, and most non ...

COPERNICUS GESELLSCHAFT MBH2023

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Ekaterina Krymova, Nicola Parolini, Andrea Kraus, David Kraus, Daniel Lopez, Markus Scholz, Tao Sun

Background:Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predictive p ...

eLIFE SCIENCES PUBL LTD2023

Reinforcement Learning for Outdoor Balloon Navigation: A Successful Controller for an Autonomous Balloon

Mirko Kovac, Simon Jeger

Autonomous ballooning allows for energy-efficient long-range missions but introduces significant challenges for planning and control algorithms, due to their single degree of actuation: vertical rate control through either buoyancy or vertical thrust. Late ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Modelling the coupled mercury-halogen-ozone cycle in the central Arctic during spring

Julia Schmale, Ivo Fabio Beck, Hélène Paule Angot, Jenny Thomas

Near-surface mercury and ozone depletion events occur in the lowest part of the atmosphere during Arctic spring. Mercury depletion is the first step in a process that transforms long-lived elemental mercury to more reactive forms within the Arctic that are ...

2023

Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks

Anthony Christopher Davison, Ophélia Mireille Anna Miralles

Near-surface wind is difficult to estimate using global numerical weather and climate models, because airflow is strongly modified by underlying topography, especially that of a country such as Switzerland. In this article, we use a statistical approach ba ...

2022

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Ekaterina Krymova, Markus Scholz

Background During the COVID-19 pandemic there has been a strong interest in forecasts of the short-term development of epidemiological indicators to inform decision makers. In this study we evaluate probabilistic real-time predictions of confirmed cases an ...

London2022

A Dynamic Multi-Region MFD Model for Ride-Sourcing Systems with Ridesplitting

Nikolaos Geroliminis, Caio Vitor Beojone

Dynamic network-level models directly addressing ride-sourcing services can be useful for the development of efficient traffic management strategies both for city and company operators. Recent developments presented models under equilibrium situations for ...

2022

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Sinem Sav

A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global neural network model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being commun ...

2022

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Global Forecast System

Urban boundary-layer flows in complex terrain: Dynamic interactions during a hot and dry summer season in Phoenix, Arizona

Improved extended-range prediction of persistent stratospheric perturbations using machine learning

Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Reinforcement Learning for Outdoor Balloon Navigation: A Successful Controller for an Autonomous Balloon

Modelling the coupled mercury-halogen-ozone cycle in the central Arctic during spring

Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

A Dynamic Multi-Region MFD Model for Ride-Sourcing Systems with Ridesplitting

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Graph Chatbot

Chat with Graph Search

Improved extended-range prediction of persistent stratospheric perturbations using machine learning

Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic

Reinforcement Learning for Outdoor Balloon Navigation: A Successful Controller for an Autonomous Balloon

A Dynamic Multi-Region MFD Model for Ride-Sourcing Systems with Ridesplitting

Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks

Modelling the coupled mercury-halogen-ozone cycle in the central Arctic during spring

System and method for privacy-preserving distributed training of neural network models on distributed datasets

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Urban boundary-layer flows in complex terrain: Dynamic interactions during a hot and dry summer season in Phoenix, Arizona

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations