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Improvement of GOME-2 retrieval on the study of tropospheric air pollutants over China

Montes Rubio, Rocio and Hao, Nan and Liu, Song and Valks, Pieter and Trautmann, Thomas (2017) Improvement of GOME-2 retrieval on the study of tropospheric air pollutants over China. AOGS 2017, 06.-11.08.2017, Singapore.

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Abstract

This work is framed in the Dragon 3 cooperation program between the European Space Agency and NASCC (National Remote Sensing Center of P.R.of China) with the aim of examining and improving the accuracy of GOME-2 retrieval algorithm of NO2 tropospheric columns over highly polluted regions by means of ground-based measurements. GOME-2 instrument is carried by the MetOp satellite family as part of the EUMETSAT Polar System providing near real-time data for air quality forecasting. Validation results of this sensor show an underestimation of the NO2 tropospheric VCDs when measured over highly polluted regions.

Item URL in elib:https://elib.dlr.de/115325/
Document Type:Conference or Workshop Item (Poster)
Title:Improvement of GOME-2 retrieval on the study of tropospheric air pollutants over China
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Montes Rubio, RocioUPVUNSPECIFIED
Hao, NanEUMETSATUNSPECIFIED
Liu, SongSong.Liu (at) dlr.deUNSPECIFIED
Valks, PieterPieter.Valks (at) dlr.deUNSPECIFIED
Trautmann, ThomasThomas.Trautmann (at) dlr.deUNSPECIFIED
Date:August 2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Dragon 3, GOME-2, NO2
Event Title:AOGS 2017
Event Location:Singapore
Event Type:international Conference
Event Dates:06.-11.08.2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Liu, Song
Deposited On:17 Nov 2017 11:25
Last Modified:22 Dec 2017 13:23

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