Atmospheric dust gives us one of the most visible and detectable aspects of transboundary transport of atmospheric constituents, impacting visibility, radiation and climate. What is less evident are its impacts on health, transpor...
Atmospheric dust gives us one of the most visible and detectable aspects of transboundary transport of atmospheric constituents, impacting visibility, radiation and climate. What is less evident are its impacts on health, transportation and energy production. Atmospheric dust is not fully understood at the fundamental level and models fail to fully reproduce its properties, limiting potential societal benefits that could arise from more accurate predictions. Moreover, dust observations are abundant, but are still under development, and each technique gives a different picture of a phenomenon with multiple facets. Finally, dust affects the environment, society, and several socio-economic sectors.Here, we propose the first doctoral network on a European scale (to our knowledge), bringing together expertise on mineral dust in the atmosphere and multidisciplinary methods. Dust-DN is a strategic, international, and intersectoral alliance of high-profile partners. It will be able to deliver advances in understanding fundamental dust properties, and improve our knowledge and prediction of the socio-economic impacts of dust.We will address the knowledge gaps through creating a cohort of early career scientists within a network between academic and non-academic partners. The doctoral network will be driven by the following research objectives, at the frontier of science on atmospheric mineral dust: (1) Understanding of the fundamentals of dust microphysical properties and processes; (2) Identifying the influence of source regions on atmospheric dust properties; (3) Socio-economic impacts of dust on health, aviation and energy production; and (4) Dust in the global climate system. The partners have unique scientific facilities for addressing these questions, and a number of methodologies will be used, including field observations, remote sensing, numerical modelling and laboratory experiments.ver más
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.