Project overview AIRSENSE’s main objective is to enhance the understanding of aerosol and aerosol-cloud interactions. This activity is part of Atmosphere Science Cluster of ESA’s EO Science for Society programme, an element of the ESA FutureEO programme, which aims at boosting Europe’s excellence in EO science and its applications. One of the goals of this …
The aim of the OPEn platform for the Retrieval of Aerosol and CO2 from S5 (OPERA-S5) project is to develop a totally modular open scientific platform for the combined retrieval of CO2, CH4, aerosol and surface properties based on GRASP (Generalized Retrieval of Atmosphere and Surface Properties) code with the measurements of Sentinel-5 spectrometer UVNS …
The Atmosphere Science Cluster – Research Opportunities 5 – European Coordinated Study on Aerosol and Aerosol/Cloud Interactions is established under the Scientific Exploitation component of the FutureEO Programme. It is intended to support innovative scientific development, which responds to research and networking opportunities in the Atmospheric research domain. This activity is part of a coordination …
Landscape fires, whether natural or human-induced, have a key impact on the Earth system via the release of pollutants, greenhouse gases and aerosols, affecting human health and climate. Over the next decades their role may increase related to drier and warmer conditions, exacerbating biome shifts and lowering biodiversity. In addition, this may provide one of …
Atmospheric aerosol is one of the main drivers of climate changes. Importance of accurate global aerosol characterization for climate studies and air pollution monitoring is a well recognized problem (e.g., see IPCC AR5 by Boucher et al.2013). In addition to the traditional spectral Aerosol Optical Depth (AOD) such characterization should also include such extended aerosol …
POPCORN is a novel data processing approach for satellite data post-process correction. POPCORN combines the best aspects of the conventional physics-based retrieval algorithms and state-of-the-art machine learning techniques. The aim of the POPCORN project is to develop novel machine-learning-based post-process correction methodology that will improve the Earth observation satellite data accuracy. The methodology will be …
The Dust-Ocean Modelling & Observing Study (DOMOS) will advance the understanding of dust and ocean interactions in a changing climate through an innovative use of model and observations. The project will develop a new retrieval of dust deposition from satellite lidar data (CALIPSO and Aeolus), will validate the dust deposition field from the CAMS reanalysis …
Living Planet Fellowship research project carried out by Joan Llort. In recent years, exceptionally large wildfires have been recorded in Australia, California, the Mediterranean region, and the Arctic. While there exists an established research effort on how Climate Change is leading these megafires and on how they are affecting land ecosystems, recent observations show that …
Reflectance of the Earth surface is one of the natural major components affecting climate. Surface interaction with incoming solar radiation and the atmosphere has a substantial impact on the Earth’s energy budget. Moreover, the accurate description of the surface reflection is crucial for different atmospheric studies including aerosol and trace gases characterization. One of …
The Aeolus Ocean Color (AOC) project aims at assessing the potential of the Aeolus mission to monitor ocean sub-surface optical and biogeochemical properties based on the measurements from the wind lidar ALADIN (Atmospheric Laser Doppler Instrument) at 355 nm. AOC is funded by ESA within the framework of the Aeolus + Innovation project. The retrieval …
