日本地球惑星科学連合2023年大会

講演情報

[E] 口頭発表

セッション記号 P (宇宙惑星科学) » P-PS 惑星科学

[P-PS04] Advancing the science of Venus in the golden age of exploration

2023年5月23日(火) 15:30 〜 16:45 展示場特設会場 (3) (幕張メッセ国際展示場)

コンビーナ:佐藤 毅彦(宇宙航空研究開発機構・宇宙科学研究本部)、はしもと じょーじ(岡山大学学術研究院自然科学学域)、Moa Persson(Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan)、Kevin McGouldrick(University of Colorado Boulder)、Chairperson:Moa Persson(Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan)、Kevin McGouldrick(University of Colorado Boulder)



15:30 〜 15:45

[PPS04-01] EnVision: Understanding Why Earth's Closest Neighbor is so Different

★Invited Papers

*Thomas Widemann1、Anne Grete Straume-Lindner2、Thomas Wagner3、Mitchell D. Schulte3、Thomas Voirin2 (1.LESIA, Observatoire de Paris, Meudon, France、2.ESA, European Space Research and Technology Centre, Noordwijk, Netherlands、3.Mary W. Jackson NASA Headquarters, Washington, DC, USA)

キーワード:Venus, Atmosphere, Surface and Interior Processes, Orbiter Mission

EnVision was selected as ESA’s 5th M-class mission, targeting a launch in the early 2030s. The mission is a partnership between ESA and NASA, where NASA provides the Synthetic Aperture Radar payload. The scientific objective of EnVision is to provide a holistic view of the planet from its inner core to its upper atmosphere. Mission phase B1 started in December 2021 to complete trade-offs, consolidate requirements, interfaces and system specifications. Phase B1 will be concluded with the Mission Adoption Review planned in fall 2023, followed by Mission Adoption in 2024. To meet its science objectives, the EnVision mission needs to return 210 Tbits of science data to Earth, with a large distance-to-Earth dynamic range (from 0.3 to 1.7 AU), from a low Venus polar orbit, in the hot Venus environment (exacerbated by the operation of highly dissipative units), while operating three spectrometers in an almost cryogenic level environment. This needs to be achieved within constraints on the spacecraft mass as well as Agency programmatic boundaries. Achieving the science objectives under these multiple constraints without oversizing the spacecraft calls for a careful planning of science operations, making the science planning strategy a critical driver in the design of the whole mission, against which the spacecraft and ground segment are then sized.

The mission design needs to accommodate the operation of the science instruments, namely VenSAR (standard, stereo, polarimetry, HiRes, altimetry, nadir, near-nadir and off-nadir radiometry modes), SRS (high and low density modes), VenSpec-M, VenSpec-H (cooling and nominal), VenSpec-U (Nominal and SNR- limited modes) and Radio Science Experiment (gravity experiment and radio-occultation experiment) such as to achieve the mission objectives in terms of surface coverage and repeated observations, while taking into account the constraints posed by the spacecraft design (e.g. wheel offloading manœuver duration and frequency, slew manoeuvers for pointing, mass memory capacity constraints, thermal and power constraints), the instrument design (e.g. VenSpec-M operates on the night side, VenSpec-U operates on the day side, cooling of VenSpec-H is required) and mission boundaries (the baseline science duration is six Venus cycles and starts in 1st half of 2035).

The payload reference operations scenario simulation demonstrates that all identified surface targets can be imaged with VenSAR, with a performance fully compliant with the science requirements. The first two cycles allow imaging once 80% of the identified Regions of Interest (RoIs) at 30 m resolution. The following two cycles are mostly devoted to 2nd observations of these areas for stereo-topography mapping and the two last cycles to 3rd observations of the “activity” type. Dual polarization and high resolution SAR observations can be performed at any longitude at least once across the 6 cycles. Our strategy is to obtain the widest range of data types that enables us to put the highest resolution datasets into regional and global context. Similarly, understanding atmospheric processes requires a combination of global-scale mapping with targeted observations resolving smaller-scale processes.