Exometeorology: Probing Extrasolar Atmospheres
The Exo-PEA program aims to investigate clouds, winds, and aurorae in exoplanet atmospheres using advanced telescopes to enhance our understanding of potential Earth-like worlds.
Projectdetails
Introduction
The exploration of worlds beyond our solar system aims to answer one of the most fundamental questions: Are We Alone in the Universe? Studying a diverse range of exoplanets is critical for investigating Earth-like exoplanets in the long term as we develop the tools, facilities, and techniques necessary for understanding their atmospheres in detail.
Advanced Telescopes
Advanced telescopes such as the James Webb Space Telescope (JWST) and 30-metre telescopes (e.g., the Extremely Large Telescope, ELT; first-light ~2028) will enable direct exoplanet studies. However, the interpretation of these results will hinge on a thorough understanding of their complex weather phenomena.
Exo-PEA Program
Exo-PEA is a transformational program that will utilize a novel combination of observational and computational data-driven techniques to reveal the physics of three critical weather phenomena in giant extrasolar worlds: clouds, winds, and aurorae.
Objective 1: Spatially-Resolved Investigations of Clouds
My team will perform the first spatially-resolved investigations of clouds in extrasolar worlds, revealing the longitudinal and latitudinal behavior of clouds. This objective will make use of data from JWST Cycle 2 PI Programs:
- #3548
- #3496
- #3486
Additionally, it will utilize Co-I Programs:
- #2965
- #3375
- #3181
Objective 2: Wind Speeds in Extrasolar Atmospheres
My team will pioneer the study of winds in imaged extrasolar atmospheres by measuring vertically-resolved winds in an extrasolar world for the first time. This will significantly increase the number of wind speed measurements that exist. This objective will make use of data from JWST Cycle 2 PI Programs:
- #3548
- #3496
Objective 3: Atmospheric Signatures of Aurorae
My team will characterize the effects of magnetically-driven aurorae on extrasolar atmospheres for the first time beyond the solar system. This objective will make use of data from JWST Cycle 2 PI Programs:
- #3548
- #3496
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.964 |
Totale projectbegroting | € 1.499.964 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLINpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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REVEALing Signatures of Habitable Worlds Hidden by Stellar ActivityREVEAL unites experts to tackle stellar variability, enhancing exoplanet detection and atmospheric analysis, ultimately aiming to identify Earth-like planets and potential signs of life. | ERC Synergy ... | € 6.831.455 | 2024 | Details |
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Early Earth, Mars and Venus as Exoplanets (EASE)
This project aims to model the atmospheric evolution of Earth, Venus, and Mars to enhance understanding of exoplanet habitability using JWST data and advanced numerical simulations.
REVEALing Signatures of Habitable Worlds Hidden by Stellar Activity
REVEAL unites experts to tackle stellar variability, enhancing exoplanet detection and atmospheric analysis, ultimately aiming to identify Earth-like planets and potential signs of life.
Habitability of Exo-Earths in various atmospheric oxidative conditions
The project aims to investigate the formation and evolution of atmospheric organic aerosols in humid exoplanetary atmospheres to assess their impact on climate and prebiotic chemistry for habitability.
Exoplanetary Systems with a Coronagraphic Archive Processing Engine
The ESCAPE project aims to enhance starlight subtraction techniques for high-contrast space imagers, improving exoplanet detection by 20x and advancing our understanding of life in the Universe.
Physical modelling of stellar activity effects to discover and measure exoearths
The SPOTLESS project aims to model and correct stellar activity effects in exoplanet research using advanced simulations and machine learning, enhancing the detection and characterization of exoearths.