Scientific Advisory Group on Applications

The modelling framework in GAW will embrace the SAGs and expert groups, while recognizing and respecting the fact that different SAGs have intrinsic modelling needs. The SAG on Applications (SAG-Apps) will focus on applications that use NRT data delivery on scales larger than urban, including the development of boundary conditions for local modelling and improvement of models and development of services related to dust, volcanic ash and biomass burning plumes, and health applications. In addition, in collaboration with WIS/WIGOS which are ensuring dissemination of observational data, the SAG-Apps will review data systems that ensure possibility of service delivery. In liaison with WGNE and taking into consideration conclusions from the World Weather Open Science Conference, it will work towards improved representation of atmospheric composition in weather models. Furthermore, based on data assimilation, it will facilitate global uptake of “realistic” boundary  conditions for regional to local air quality applications worldwide in liaison with SAG GURME. In addition, in liaison with SDS-WAS, Volcanic Ash Advisory Centers (VAACs) and other international activities, it will further foster the use of observations to better monitor and predict large-scale transport of dust, fire and volcanic emissions and their impacts.

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Terms of Reference

Core activities

● Facilitate research related to modelling and data assimilation of atmospheric composition in the Earth System models, working closely with the thematic SAGs within GAW, GAW initiatives, Numerical Weather Prediction and Climate Modelling centres and with relevant national and international programmes and projects;
● Promote best practices and applications that use observational data in NRT on scales larger than urban, including the development of boundary conditions for regional and local modelling;
● Advise respective communities on the techniques to model and assimilate atmospheric composition observations to better monitor and predict large-scale transport of dust, fire and volcanic emissions and their impacts in liaison with groups such as SDS-WAS, IGAC & Global Emissions Inventory Activity (GEIA), Volcanic Ash Advisory Centres (VAACs);
● Working closely with the Earth System modelling community, define evaluation protocols and model performance scoring methodologies for atmospheric composition variables;
● Further develop the science basis and encourage development of innovative health and other air quality impacts related services at large scales, such as platforms focused on the global burden of disease and air quality impacts on agriculture, through collaborations with WHO, UNEP and other organizations;
● Assist/supervise the development of the relevant training materials and training delivery and support capacity development activities.

Interface with SAG

● Work together with the thematic SAGs on development of the relevant modelling tools, approaches and products for the specific areas;
● Work with the SAG on greenhouse gases on development of improved atmospheric transport models.
Interface with Expert Teams
● Work with ET-ACMQ on the potential utilisation of the model outputs for quality control of the observational data;
● Work closely with ET-ACNDE on the gap analysis reports and optimisation of the observational system design for specific applications;
● Work with ET-ACDM on availability, format and timeliness of submission of data to the World Data Centres to improve data usability within the modelling applications.
Interface with GAW Initiatives Steering Committees
● Advise on the model development, improved assimilation methods and advances with the model transport representation, inverse modelling techniques and uncertainties characterization to the GAW initiatives (IG3IS, MMF-GTAD and GAFIS).

Interface with WMO groups

● Collaborate with the WMO and co-sponsored programmes and related groups of the Technical Commission on Infrastructure on the aspects of the Earth System modelling, data assimilation, model scores, parametrisation of the atmospheric chemical processes and uncertainty characterisation
Interface with external users and partners
● Reach out to other scientific and non-scientific communities regarding the state of science related to atmospheric composition modelling and data assimilation, as well as proper understanding and use of air pollution and GHG data products (reanalyses, analyses and forecasts);
● Work together with external partners (UNEP, WHO, IGAC etc.) on development and promotion of the common modelling products and their promotion with the user community;
● Actively entrain stakeholders, policymaker groups, scientific implementation partners and other interested parties to encourage their support and engagement.

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