Global Mapping of Atmospheric Composition from Space: Retrieving Aerosol Height and Tropospheric NO2 from OMI

Julien Chimot

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

Global Mapping of Atmospheric Composition from Space: Retrieving Aerosol Height and Tropospheric NO2 from OMI

Julien Chimot

Atmospheric Remote Sensing

Research output: Thesis › Dissertation (TU Delft)

234 Downloads (Pure)

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.

Original language	English
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Levelt, P.F., Supervisor Veefkind, J.P., Advisor
Award date	10 Sept 2018
Print ISBNs	978-94-6366-010-5
DOIs	https://doi.org/10.4233/uuid:80c62d6f-0ae0-4e96-9554-841ddcd506c0
Publication status	Published - 2018

Keywords

trace gas
aerosol
cloud
air quality
climate
satellite remote sensing
atmospheric retrieval
spectral signature
radiation scattering
absorption

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

thesis_mainFinal published version, 40.9 MB

Cite this

@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",

type = "Dissertation (TU Delft)",

school = "Delft University of Technology",

}

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 -

Global Mapping of Atmospheric Composition from Space: Retrieving Aerosol Height and Tropospheric NO2 from OMI

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this