Academic Journal
Determination of Venus’ interior structure with EnVision
العنوان: | Determination of Venus’ interior structure with EnVision |
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المؤلفون: | Pascal Rosenblatt, Caroline Dumoulin, Jean-Charles Marty, Antonio Genova |
المساهمون: | Rosenblatt, Pascal, Dumoulin, Caroline, Marty, Jean-Charle, Genova, Antonio |
بيانات النشر: | MDPI ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND |
سنة النشر: | 2021 |
المجموعة: | Sapienza Università di Roma: CINECA IRIS |
مصطلحات موضوعية: | planetary interior structure, gravity field determination, deep space mission |
الوصف: | The Venusian geological features are poorly gravity-resolved, and the state of the core is not well constrained, preventing an understanding of Venus’ cooling history. The EnVision candidate mission to the ESA’s Cosmic Vision Programme consists of a low-altitude orbiter to investigate geological and atmospheric processes. The gravity experiment aboard this mission aims to determine Venus’ geophysical parameters to fully characterize its internal structure. By analyzing the radio- tracking data that will be acquired through daily operations over six Venusian days (four Earth’s years), we will derive a highly accurate gravity field (spatial resolution better than ~170 km), allowing detection of lateral variations of the lithosphere and crust properties beneath most of the geological features. The expected 0.3% error on the Love number k2, 0.1◦ error on the tidal phase lag and 1.4% error on the moment of inertia are fundamental to constrain the core size and state as well as the mantle viscosity. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:000650731100001; volume:13; issue:9; numberofpages:14; journal:REMOTE SENSING; http://hdl.handle.net/11573/1629989; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85107134453 |
DOI: | 10.3390/rs13091624 |
الاتاحة: | http://hdl.handle.net/11573/1629989 https://doi.org/10.3390/rs13091624 |
Rights: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.ADC935F4 |
قاعدة البيانات: | BASE |
DOI: | 10.3390/rs13091624 |
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