Standard

Global Mapping of Atmospheric Composition from Space : Retrieving Aerosol Height and Tropospheric NO2 from OMI. / Chimot, Julien.

2018. 205 p.

Research output: ThesisDissertation (TU Delft)Scientific

Harvard

APA

Vancouver

Author

BibTeX

@phdthesis{80c62d6f0ae04e969554841ddcd506c0,
title = "Global Mapping of Atmospheric Composition from Space: Retrieving Aerosol Height and Tropospheric NO2 from OMI",
abstract = "The main objective of this thesis is to design a new aerosol layer height retrieval in order to improve the operational NO2 retrieval, both in the troposphere, from space-borne instruments for highly polluted events and under cloud-free conditions. This thesis focuses on the exploitation of the OMI satellite measurements acquired in the visible wavelength range (405-490 nm). In addition, we develop numerical methods and tools (e.g. machine learning) in order to support the operational processing of big data amounts from the forthcoming new-generation satellite instruments for air quality and climate research.",
keywords = "trace gas, aerosol, cloud, air quality, climate, satellite remote sensing, atmospheric retrieval, spectral signature, radiation scattering, absorption",
author = "Julien Chimot",
year = "2018",
doi = "10.4233/uuid:80c62d6f-0ae0-4e96-9554-841ddcd506c0",
language = "English",
isbn = "978-94-6366-010-5",
school = "Delft University of Technology",

}

RIS

TY - THES

T1 - Global Mapping of Atmospheric Composition from Space

T2 - Retrieving Aerosol Height and Tropospheric NO2 from OMI

AU - Chimot, Julien

PY - 2018

Y1 - 2018

N2 - The main objective of this thesis is to design a new aerosol layer height retrieval in order to improve the operational NO2 retrieval, both in the troposphere, from space-borne instruments for highly polluted events and under cloud-free conditions. This thesis focuses on the exploitation of the OMI satellite measurements acquired in the visible wavelength range (405-490 nm). In addition, we develop numerical methods and tools (e.g. machine learning) in order to support the operational processing of big data amounts from the forthcoming new-generation satellite instruments for air quality and climate research.

AB - The main objective of this thesis is to design a new aerosol layer height retrieval in order to improve the operational NO2 retrieval, both in the troposphere, from space-borne instruments for highly polluted events and under cloud-free conditions. This thesis focuses on the exploitation of the OMI satellite measurements acquired in the visible wavelength range (405-490 nm). In addition, we develop numerical methods and tools (e.g. machine learning) in order to support the operational processing of big data amounts from the forthcoming new-generation satellite instruments for air quality and climate research.

KW - trace gas

KW - aerosol

KW - cloud

KW - air quality

KW - climate

KW - satellite remote sensing

KW - atmospheric retrieval

KW - spectral signature

KW - radiation scattering

KW - absorption

UR - http://resolver.tudelft.nl/uuid:80c62d6f-0ae0-4e96-9554-841ddcd506c0

U2 - 10.4233/uuid:80c62d6f-0ae0-4e96-9554-841ddcd506c0

DO - 10.4233/uuid:80c62d6f-0ae0-4e96-9554-841ddcd506c0

M3 - Dissertation (TU Delft)

SN - 978-94-6366-010-5

ER -

ID: 45686423