scholarly journals COST ES0602: towards a European network on chemical weather forecasting and information systems

2009 ◽  
Vol 3 (1) ◽  
pp. 27-33 ◽  
Author(s):  
J. Kukkonen ◽  
T. Klein ◽  
K. Karatzas ◽  
K. Torseth ◽  
A. Fahre Vik ◽  
...  

Abstract. The COST ES0602 action provides a forum for benchmarking approaches and practices in data exchange and multi-model capabilities for chemical weather forecasting and near real-time information services in Europe. The action includes approximately 30 participants from 19 countries, and its duration is from 2007 to 2011 (http://www.chemicalweather.eu/). Major efforts have been dedicated in other actions and projects to the development of infrastructures for data flow. We have therefore aimed for collaboration with ongoing actions towards developing near real-time exchange of input data for air quality forecasting. We have collected information on the operational air quality forecasting models on a regional and continental scale in a structured form, and inter-compared and evaluated the physical and chemical structure of these models. We have also constructed a European chemical weather forecasting portal that includes links to most of the available chemical weather forecasting systems in Europe. The collaboration also includes the examination of the case studies that have been organized within COST-728, in order to inter-compare and evaluate the models against experimental data. We have also constructed an operational model forecasting ensemble. Data from a representative set of regional background stations have been selected, and the operational forecasts for this set of sites will be inter-compared and evaluated. The Action has investigated, analysed and reviewed existing chemical weather information systems and services, and will provide recommendations on best practices concerning the presentation and dissemination of chemical weather information towards the public and decision makers.

2021 ◽  
Author(s):  
K. Emma Knowland ◽  
Christoph Keller ◽  
Krzysztof Wargan ◽  
Brad Weir ◽  
Pamela Wales ◽  
...  

<p>NASA's Global Modeling and Assimilation Office (GMAO) produces high-resolution global forecasts for weather, aerosols, and air quality. The NASA Global Earth Observing System (GEOS) model has been expanded to provide global near-real-time 5-day forecasts of atmospheric composition at unprecedented horizontal resolution of 0.25 degrees (~25 km). This composition forecast system (GEOS-CF) combines the operational GEOS weather forecasting model with the state-of-the-science GEOS-Chem chemistry module (version 12) to provide detailed analysis of a wide range of air pollutants such as ozone, carbon monoxide, nitrogen oxides, and fine particulate matter (PM2.5). Satellite observations are assimilated into the system for improved representation of weather and smoke. The assimilation system is being expanded to include chemically reactive trace gases. We discuss current capabilities of the GEOS Constituent Data Assimilation System (CoDAS) to improve atmospheric composition modeling and possible future directions, notably incorporating new observations (TROPOMI, geostationary satellites) and machine learning techniques. We show how machine learning techniques can be used to correct for sub-grid-scale variability, which further improves model estimates at a given observation site.</p>


2019 ◽  
Vol 32 (11) ◽  
pp. 7563-7579 ◽  
Author(s):  
Ebrahim Eslami ◽  
Ahmed Khan Salman ◽  
Yunsoo Choi ◽  
Alqamah Sayeed ◽  
Yannic Lops

2012 ◽  
Vol 60 ◽  
pp. 656-676 ◽  
Author(s):  
Yang Zhang ◽  
Marc Bocquet ◽  
Vivien Mallet ◽  
Christian Seigneur ◽  
Alexander Baklanov

2012 ◽  
Vol 60 ◽  
pp. 632-655 ◽  
Author(s):  
Yang Zhang ◽  
Marc Bocquet ◽  
Vivien Mallet ◽  
Christian Seigneur ◽  
Alexander Baklanov

Weather ◽  
2015 ◽  
Vol 70 (6) ◽  
pp. 180-186 ◽  
Author(s):  
David M. Schultz ◽  
Stuart Anderson ◽  
Jonathan G. Fairman ◽  
Douglas Lowe ◽  
Gordon McFiggans ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document