Monitoring ozone in different spectral regimes from space and balloon (Sentinel-4/-5P, TELIS)

Recently, several new generation instruments for remote sensing of the Earth's atmosphere from space and balloon have been launched and planned. The German Aerospace Center (DLR) has engaged in research activities for a number of missions, e.g. GOME/GOME-2 (Global Ozone Monitoring Experiment),...

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Published in:IEEE International Geoscience and Remote Sensing Symposium proceedings pp. 360 - 363
Main Authors: Jian Xu, Schreier, Franz, Loyola, Diego, Schussler, Olena, Doicu, Adrian, Trautmann, Thomas
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2016
Subjects:
Atmospheric measurements
Atmospheric remote sensing
Gases
Instruments
inversion algorithm
Monitoring
ozone profiling
Remote sensing
Sentinel-4/-5P
Shape
TELIS
Terrestrial atmosphere
ISSN:2153-7003
Online Access:Get full text
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Abstract Recently, several new generation instruments for remote sensing of the Earth's atmosphere from space and balloon have been launched and planned. The German Aerospace Center (DLR) has engaged in research activities for a number of missions, e.g. GOME/GOME-2 (Global Ozone Monitoring Experiment), Sentinel-4/-5P, and TELIS (TErahertz and submillimeter LImb Sounder). Inverse problems occurring in atmospheric science aim to estimate atmospheric state parameters from these remote sensing data. On the subject of these ill-posed inverse problems, the major challenge concerns the choice of the inversion algorithm balancing up accuracy and efficiency. The objective of this study is to look into the effectiveness of the regularized nonlinear iteration scheme and the neural network-based scheme. Practical implementations pertaining to ozone profiling from spaceborne and balloon-borne measurements are addressed.
AbstractList Recently, several new generation instruments for remote sensing of the Earth's atmosphere from space and balloon have been launched and planned. The German Aerospace Center (DLR) has engaged in research activities for a number of missions, e.g. GOME/GOME-2 (Global Ozone Monitoring Experiment), Sentinel-4/-5P, and TELIS (TErahertz and submillimeter LImb Sounder). Inverse problems occurring in atmospheric science aim to estimate atmospheric state parameters from these remote sensing data. On the subject of these ill-posed inverse problems, the major challenge concerns the choice of the inversion algorithm balancing up accuracy and efficiency. The objective of this study is to look into the effectiveness of the regularized nonlinear iteration scheme and the neural network-based scheme. Practical implementations pertaining to ozone profiling from spaceborne and balloon-borne measurements are addressed.
Author Doicu, Adrian
Schreier, Franz
Jian Xu
Loyola, Diego
Trautmann, Thomas
Schussler, Olena
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  givenname: Thomas
  surname: Trautmann
  fullname: Trautmann, Thomas
  organization: German Aerosp. Center, Remote Sensing Technol. Inst., Oberpfaffenhofen, Germany
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StartPage 360
SubjectTerms Atmospheric measurements
Atmospheric remote sensing
Gases
Instruments
inversion algorithm
Monitoring
ozone profiling
Remote sensing
Sentinel-4/-5P
Shape
TELIS
Terrestrial atmosphere
Title Monitoring ozone in different spectral regimes from space and balloon (Sentinel-4/-5P, TELIS)
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