IGF



Projekt badawczy

ERLICOST - European Atmospheric Research LIdar COoperation on Science and Technology (COST Action: CA2413)

Instytucja finansująca:
European Cooperation in Science & Technology
Okres realizacji:
1 września 2025 - 31 października 2028

 EARLICOST action (COST Action: CA24135) is an initiative of 18 countries in Europe, coordinated by 
 Dr. Eleni Marinou from National Observatory of Athens, Greece.

 EARLICOST aims to deepen our understanding on atmospheric composition and improve the
 capabilities of atmospheric lidars to address critical gaps in aerosol characterization, temperature, and water
 vapor profiling. The vertical distribution of these key atmospheric variables provides crucial insights on air
 quality, public health, weather, and climate. In particular, aerosols are among the most significant drivers of
 climate change, and one of the largest sources of uncertainty in climate models which stems from their
 complex interactions with radiation and clouds. Thus, it is widely recognized that the spatiotemporal
 variability of aerosol properties plays a major role in numerous atmospheric processes that affect our lives.
 Despite breakthroughs in atmospheric lidar design and capabilities, achieved by independent research
 groups and the industry, there is still a need to facilitate knowledge-sharing and collaboration between the
 different communities. The EARLICOST action aspires to address this gap by fostering a collaborative
 network that brings together academic researchers, industry experts, policymakers, commercial and
 scientific end-users. Through this multidisciplinary approach, EARLICOST builds on and extends the current
 state of the art in lidar technology, seeks to harmonize methodologies across measurement networks,
 standardize aerosol, water vapor, and temperature lidar retrievals, and develop new techniques to improve
 the accuracy of atmospheric profiling monitoring. EARLICOST will play a pivotal role in advancing lidar
 technologies, fostering technological innovation and improved data-sharing practices, and will enhance the
 understanding of atmospheric processes, ultimately delivering broad societal benefits through more accurate
 climate predictions, environmental policies and enhanced air quality monitoring.


Cofnij