Molina García, Víctor (2023) Retrieval of cloud properties from EPIC/DSCOVR. Dissertation, Technical University of Munich.
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Official URL: https://mediatum.ub.tum.de/1662361
Abstract
This dissertation provides a framework for retrieving cloud macrophysical properties from radiance measurements acquired by the EPIC instrument. It analyses the involved pre-processing steps (registration and degradation correction), speed-up improvements in the radiative transfer model, the determination of the cloud fraction with the OCRA algorithm, and the sensitivity analysis of the ROCINN algorithm to obtain cloud optical thickness and cloud-top height under several sources of uncertainty.
| Item URL in elib: | https://elib.dlr.de/194303/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | Retrieval of cloud properties from EPIC/DSCOVR | ||||||||
| Authors: |
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| Date: | 5 January 2023 | ||||||||
| Journal or Publication Title: | mediaTUM | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 185 | ||||||||
| Status: | Published | ||||||||
| Keywords: | radiative transfer, neural networks, machine learning, OCRA, ROCINN | ||||||||
| Institution: | Technical University of Munich | ||||||||
| Department: | 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 - Atmospheric and climate research, R - Optical remote sensing, R - Artificial Intelligence | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Atmospheric Processors | ||||||||
| Deposited By: | Molina García, Víctor | ||||||||
| Deposited On: | 15 Mar 2023 10:32 | ||||||||
| Last Modified: | 15 Mar 2023 10:32 |
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