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Tag: Aerosols

SATellite Retrieval of 3D spectral Irradiance to improve the estimation of Solar Energy production (SATRISE)

Prime company: RAYFERENCE SPRL (BE)

The SATRISE project (Satellite Retrieval of 3D Spectral Irradiance to improve the estimation of Solar Energy production) aims to enhance the accuracy of solar irradiance estimation for photovoltaic (PV) energy production by exploiting European Earth Observation (EO) satellite data. Current PV modelling tools largely rely on global horizontal irradiance (GHI) datasets, which do not adequately …

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EarthCARE+Innovation- GLADIS

Prime company: GRASP-SAS (FR)

The Geostationary and Lidar space-borne Aerosol 4-Dimensional Synergy (GLADIS) project aims to develop and validate novel retrieval methods that expand the portfolio of products available from the EarthCARE mission. The primary goal is to generate a highly detailed, 4-dimensional (spatial, temporal, and vertical) aerosol product. This new dataset will help reduce key uncertainties in climate …

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EARTHCARE ATLID AND MSI INSTRUMENTS SYNERGY FOR ADVANCED RETRIEVAL OF AEROSOL VERTICAL PROFILES (ECAMS)

Prime company: GRASP-SAS (FR)

The ECAMS (EarthCARE ATLID and MSI Instruments Synergy for Advanced Retrieval of Aerosol Vertical Profiles) project focuses on enhancing aerosol vertical profiling through the integration of active and passive satellite measurements. By combining data from EarthCARE’s ATLID (Atmospheric LIDar) and MSI (Multi-Spectral Imager) with PACE mission’s polarimeters (SPEXone and HARP-2), ECAMS aims to develop a …

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AIRSENSE

Prime company: GRASP-SAS (FR)

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 …

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OPEn platform for the Retrieval of Aerosol and CO2 from S5 (OPERA-S5)

Prime company: GRASP-SAS (FR)

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 …

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Scientists

Invitation to Tender: “EUROPEAN COORDINATED STUDY ON AEROSOLS AND AEROSOL/CLOUD INTERACTIONS”

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 …

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BURNING QUESTIONS ON CARBON EMISSIONS FROM FIRES (BURNQUEST)

Prime company: Netherlands Institute for Space Research (NWO-I) (NL)

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 …

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Synergetic retrieval from multi-mission space-borne measurements for enhancement of aerosol characterization (SYREMIS)

Prime company: GRASP-SAS (FR)

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 …

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POst-Process CORrection of satellite data products with New machine learning based approach (POPCORN) 

Prime company: FINNISH METEOROLOGICAL INSTITUTE (FI)

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 …

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4DATLANTIC Dust-Ocean Modelling & Observing Study (DOMOS)

Prime company: ECMWF (GB)

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 …

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