Abstract
As clouds are one of the key sources of uncertainty in global climate models, the CloudCT mission uses a formation of 10 nano-satellites to detect 3D properties of clouds. Computed tomography methods similar to medicine are used for observation of backscattered Sun light by the cameras of 10 satellites from different perspectives, in order to obtain high spatial and temporal resolution for water distribution inside the clouds. With respect to satellite technology requirements, precision attitude control as well as formation flying capabilities are crucial to characterize at the level of nano-satellites the interior of clouds. CloudCT integrates interdisciplinary synergies from nano-satellite system engineering, cloud modelling, and tomographic imaging to enable a sensor network approach to innovative Earth observation. This way improved relevant inputs for climate predictions are generated.
Original language | English |
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Article number | IAC-19_D1_6_3_x54792 |
Journal | Proceedings of the International Astronautical Congress, IAC |
Volume | 2019-October |
State | Published - 2019 |
Event | 70th International Astronautical Congress, IAC 2019 - Washington, United States Duration: 21 Oct 2019 → 25 Oct 2019 |
Keywords
- Climate prediction
- Clouds
- Computed tomography
- Nano-satellites
- Satellite formation
All Science Journal Classification (ASJC) codes
- Astronomy and Astrophysics
- Aerospace Engineering
- Space and Planetary Science