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High Performance Processing Algorithms of Satellite Measurements for Retrieval of Trace Gases and Cloud Properties

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/
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:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
del Águila Pérez, AnaAna.delAguilaPerez (at) dlr.dehttps://orcid.org/0000-0001-9006-9631
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
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
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:24 Jan 2022 12:27

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