elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Assimilation of TROPOMI SO2 Layer Height Data in the CAMS System

Inness, Antje and Ades, Melanie and Efremenko, Dmitry and Flemming, Johannes and Hedelt, Pascal and Huijnen, Vincent and Kipling, Zak and Loyola, Diego and Remy, Samuel and Ribas, Roberto (2020) Assimilation of TROPOMI SO2 Layer Height Data in the CAMS System. AGU Fall Meeting 2020, 1.-17. Dez. 2020, San Francisco, USA / Online.

Full text not available from this repository.

Abstract

The Copernicus Atmosphere Monitoring Service (CAMS), operated by the European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the European Commission, provides daily analyses and 5-day forecasts of atmospheric composition, including forecasts of volcanic sulfur dioxide (SO2) in near-real time (NRT). CAMS currently assimilates total column SO2 retrievals from the GOME-2 and TROPOMI instruments which give information about the location and strength of volcanic plumes. However, the operational TROPOMI and GOME-2 retrievals do not provide any information about the height of the volcanic plumes and therefore some prior assumptions need to be made in the CAMS data assimilation system about where to place the resulting SO2 increments in the vertical. Currently, the SO2 increments are placed in the mid-troposphere, around 550 hPa. While this gives good results for the majority of volcanic emissions, it will clearly be wrong for eruptions that inject SO2 at very different altitudes, in particular for exceptional events where part of the SO2 reaches the stratosphere. A new algorithm, developed by DLR for GOME-2 and now being adapted to TROPOMI in the frame of the ESA-funded Sentinel-5P Innovation–SO2 Layer Height Project (S5P+I: SO2LH), the Full-Physics Inverse Learning Machine (FP_ILM) algorithm, retrieves SO2 layer height from TROPOMI in NRT in addition to the SO2 column. CAMS is testing the assimilation of these data, making use of the NRT layer height information to place the SO2 increments at a better altitude. We present results from assimilation tests with the TROPOMI SO2 layer height data for several volcanic eruptions and show that making use of the additional layer height information leads to improved SO2 forecasts.

Item URL in elib:https://elib.dlr.de/137722/
Document Type:Conference or Workshop Item (Poster)
Title:Assimilation of TROPOMI SO2 Layer Height Data in the CAMS System
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Inness, AntjeEuropean Centre for Medium-range Weather Forecasts, ECMWF, Shinfield Park, Reading RG2 9AX, UKUNSPECIFIED
Ades, MelanieEuropean Centre for Medium-range Weather Forecasts, ECMWF, Shinfield Park, Reading RG2 9AX, UKUNSPECIFIED
Efremenko, DmitryDmitry.Efremenko (at) dlr.deUNSPECIFIED
Flemming, JohannesEuropean Centre for Medium-range Weather Forecasts, ECMWF, Shinfield Park, Reading RG2 9AX, UKUNSPECIFIED
Hedelt, PascalPascal.Hedelt (at) dlr.dehttps://orcid.org/0000-0002-1752-0040
Huijnen, VincentRoyal Netherlands Meteorological Institute (KNMI), De Bilt, the NetherlandsUNSPECIFIED
Kipling, ZakEuropean Centre for Medium-range Weather Forecasts, ECMWF, Shinfield Park, Reading RG2 9AX, UKUNSPECIFIED
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Remy, SamuelIPSL, ParisUNSPECIFIED
Ribas, RobertoEuropean Centre for Medium-range Weather Forecasts, ECMWF, Shinfield Park, Reading RG2 9AX, UKUNSPECIFIED
Date:December 2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:SO2, SO2 layer height, TROPOMI, Volcanoes
Event Title:AGU Fall Meeting 2020
Event Location:San Francisco, USA / Online
Event Type:international Conference
Event Dates:1.-17. Dez. 2020
Organizer:AGU
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):Vorhaben Spectroscopic Methods in Remote Sensing (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Hedelt, Pascal
Deposited On:19 Nov 2020 11:17
Last Modified:18 Dec 2020 17:37

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.