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del Águila Pérez, Ana (2022) High Performance Processing Algorithms of Satellite Measurements for Retrieval of Trace Gases and Cloud Properties. Dissertation, Technical University of Munich.
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Official URL: http://mediatum.ub.tum.de/?id=1612747
Abstract
The latest generation of Earth observation satellites measure hyperspectral data using radiative transfer models (RTMs) to retrieve atmospheric composition and monitor the climate change. This dissertation focuses on the development of high performance processing algorithms of satellite measurements for retrieval of trace gases and cloud properties. The higher performance is assessed by developing new acceleration techniques for hyperspectral RTMs for future remote sensing applications.
| Item URL in elib: | https://elib.dlr.de/148443/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Additional Information: | Funder: DLR/DAAD Research Fellowship | ||||||||
| Title: | High Performance Processing Algorithms of Satellite Measurements for Retrieval of Trace Gases and Cloud Properties | ||||||||
| Authors: |
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| Date: | 19 January 2022 | ||||||||
| Journal or Publication Title: | High Performance Processing Algorithms of Satellite Measurements for Retrieval of Trace Gases and Cloud Properties | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 184 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Radiative Transfer Models, Trace gas retrieval, High performance algorithms, satellite measurements, aerosols, clouds, acceleration techniques | ||||||||
| Institution: | Technical University of Munich | ||||||||
| Department: | TUM School of Engineering and Design | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Spectroscopic methods of the atmosphere | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Atmospheric Processors | ||||||||
| Deposited By: | del Aguila Perez, Ana | ||||||||
| Deposited On: | 24 Jan 2022 12:27 | ||||||||
| Last Modified: | 04 Mar 2024 08:34 |
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