Summary
Venus is a unique planet in the Solar System with its 100% cloud coverage. We propose to analyze Venus images and spectral observations from the ultraviolet to the near infrared spectral range, to understand the cloud properties and the radiative forcing by clouds in the atmosphere. The techniques we will develop can also be applied to exoplanet observations and modeling. Comparing with the Venus results will help to better understand clouds on exoplanets. We successfully acquired space and ground-based Venus data in 2017-2018 in collaborations with the Japanese Venus orbiter team and 15 other colleagues in Europe, Japan, and USA. Our analysis will use known methods, e.g. the dependence of aerosol scattering on the solar phase angle, a line-by-line radiative transfer model, and a one dimensional radiative-convective model. The proposed research will take place at the Technische Universität Berlin, Germany. Inside the host team, and under the supervision of host Prof. Rauer, the researcher will collaborate with Dr. García Muñoz on the phase angle dependence analysis, with Dr. Helbert to plan scientific observations of Venus with MERTIS at the time of the BepiColombo flyby in 2020, and with Dr. Kitzmann on climate modeling for early Venus. As the host team has strong background in exoplanet research and leads future exoplanet space missions, the researcher will receive training on the comparative analysis of Venus and exoplanets and climate modelling. The proposed study is very timely, considering the upcoming exoplanet missions CHEOPS and PLATO, as well as the proposed future Venus missions. The training and the proposed research will significantly strengthen the career of the researcher, and may help her secure participation in future exoplanet and Venus studies. The researcher will be trained by the host institute in quantitative skills, e.g. the project management and communications with public and students, enhancing the long-term career of the researcher.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/841432 |
| Start date: | 10-06-2019 |
| End date: | 09-06-2021 |
| Total budget - Public funding: | 174 806,40 Euro - 174 806,00 Euro |
Cordis data
Original description
Venus is a unique planet in the Solar System with its 100% cloud coverage. We propose to analyze Venus images and spectral observations from the ultraviolet to the near infrared spectral range, to understand the cloud properties and the radiative forcing by clouds in the atmosphere. The techniques we will develop can also be applied to exoplanet observations and modeling. Comparing with the Venus results will help to better understand clouds on exoplanets. We successfully acquired space and ground-based Venus data in 2017-2018 in collaborations with the Japanese Venus orbiter team and 15 other colleagues in Europe, Japan, and USA. Our analysis will use known methods, e.g. the dependence of aerosol scattering on the solar phase angle, a line-by-line radiative transfer model, and a one dimensional radiative-convective model. The proposed research will take place at the Technische Universität Berlin, Germany. Inside the host team, and under the supervision of host Prof. Rauer, the researcher will collaborate with Dr. García Muñoz on the phase angle dependence analysis, with Dr. Helbert to plan scientific observations of Venus with MERTIS at the time of the BepiColombo flyby in 2020, and with Dr. Kitzmann on climate modeling for early Venus. As the host team has strong background in exoplanet research and leads future exoplanet space missions, the researcher will receive training on the comparative analysis of Venus and exoplanets and climate modelling. The proposed study is very timely, considering the upcoming exoplanet missions CHEOPS and PLATO, as well as the proposed future Venus missions. The training and the proposed research will significantly strengthen the career of the researcher, and may help her secure participation in future exoplanet and Venus studies. The researcher will be trained by the host institute in quantitative skills, e.g. the project management and communications with public and students, enhancing the long-term career of the researcher.Status
CLOSEDCall topic
MSCA-IF-2018Update Date
28-04-2024
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