Algorithms/Results (SO 2 and ash) based on SCIAMACHY and GOME-2 measurements

Similar documents
SACS & SACS2 an overview and recent developments

BIRA-IASB, Brussels, Belgium: (2) KNMI, De Bilt, Netherlands.

MONITORING OF VOLCANIC ERUPTIONS AND DETERMINATION OF SO 2 PLUME HEIGHT FROM GOME-2 MEASUREMENTS

Volcanic Ash Monitoring Claus Zehner, ESA

Volcanic & Air Quality SO2 Service -- Product Information

MAX-DOAS observations of NO 2 in NDACC: status and perspectives

Intercomparison of Metop-A SO 2 measurements during the Icelandic eruptions

Overview on UV-Vis satellite work

MAX-DOAS observations of NO 2 in NDACC: status and perspectives

BrO PROFILING FROM GROUND-BASED DOAS OBSERVATIONS: NEW TOOL FOR THE ENVISAT/SCIAMACHY VALIDATION

Sentinel 5 Precursor: German and Belgian Contribution to the Operational L2 Products

Atmospheric Measurements from Space

Satellite remote sensing of NO 2

UV-Vis Nadir Retrievals

OPERATIONAL MONITORING OF SO 2 EMISSIONS USING THE GOME-2 SATELLITE INSTRUMENT

SCIAMACHY Level 1b-2 Data Processing Status & Changes

Initial validation of GOME-2 GDP 4.2 SO 2 total columns ORR B

Developments on air quality modeling, Prof. Dr. Hennie Kelder Royal Netherlands Meteorological Inst KNMI University of Technology, Eindhoven

Satellite Data For Applications: Aviation/Volcanic Ash. Richard Eckman NASA 27 May 2013

The CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS

The Cabauw Intercomparison campaign of Nitrogen Dioxide measuring Instruments

Satellite-based detection of volcanic sulphur dioxide from recent eruptions in Central and South America

Surface UV radiation monitoring based on GOME and SCIAMACHY

Improving S5P NO 2 retrievals

Longtime Satelite Observation of Atmospheric Trace Gases

Verification of Sciamachy s Reflectance over the Sahara J.R. Acarreta and P. Stammes

Capabilities of IRS-MTG to sound ozone, CO and methane using ESA pre-phase A specifications

10-Years Operational GOME/ERS-2 Total Column Products: The GDP 4.0 Algorithm. ESA Atmospheric Science Conference Frascati, 9.

Near-real time delivery of GOME ozone profiles

Long-Term Time Series of Water Vapour Total Columns from GOME, SCIAMACHY and GOME-2

Algorithm Theoretical Basis Document for GOME-2 Total Column Products of Ozone, Minor Trace Gases, and Cloud Properties

Simulated Radiances for OMI

S5P Mission Performance Centre UV Aerosol Index [L2 AER_AI] Readme

GRG WP1 progress report. Henk Eskes, Royal Netherlands Meteorological Institute (KNMI)

A simulation for UV-VIS VIS observations of tropospheric composition from a geostationary satellite over Asia

Polar Multi-Sensor Aerosol Product: User Requirements

Long term DOAS measurements at Kiruna

Volcanic SO 2 by UV-TIR satellite retrievals: validation by using ground-based network at Mt. Etna

ALGORITHM THEORETICAL BASIS DOCUMENT

BUMBA Belgian Urban NO2 Monitoring Based on APEX hyperspectral data. Koen Meuleman and the BUMBA team (special thanks to F.

The Copernicus Sentinel-5 Mission: Daily Global Data for Air Quality, Climate and Stratospheric Ozone Applications

Retrieval and Monitoring of atmospheric trace gas concentrations in nadir and limb geometry using the space-borne SCIAMACHY instrument

DOAS UV/VIS minor trace gases from SCIAMACHY

A feasibility study for GMAP-Asia and APOLLO UV-visible observations and its implications for GEMS

Validation and evaluation of SEVIRI volcanic ash heights

Reprocessed GOME-2 Absorbing Aerosol Index product

SCIAMACHY O 3 Column - GBMCD

Investigation of the effects of horizontal gradients of trace gases, aerosols and clouds on the validation of tropospheric TROPOMI products (TROPGRAD)

Bojan R. Bojkov et al. NASA GSFC/SSAI. Atmospheric Science Conference 8-12 May, ESA ESRIN Frascati

Support to H 2 O column retrieval algorithms for GOME-2

Recommendation proposed: CGMS-39 WGII to take note.

GOME Assimilated and Validated Ozone and NO 2 Fields for Scientific Users and for Model Validation

Longtime Satelite Observation of Atmospheric Trace Gases

Diffuser plate spectral structures and their influence on GOME slant columns

WATER VAPOUR RETRIEVAL FROM GOME DATA INCLUDING CLOUDY SCENES

Relationship between ATSR fire counts and CO vertical column densities retrieved from SCIAMACHY onboard ENVISAT

Tropospheric Ozone from GOME_2 also in combination with other stratospheric ozone measurements

Trace gases, aerosols & clouds analysed from GOME, SCIAMACHY and GOME-2. Recommendations for TROPOMI. Thomas Wagner. Satellite Group Mainz Heidelberg

Satellite remote sensing of trace gases - Nadir sounding geometry. Cathy Clerbaux, DR CNRS, LATMOS/IPSL

7.5-year global trends in GOME cloud cover and humidity - a signal of climate change? Institut für Umweltphysik, Uni-Heidelberg, Germany

S5P Mission Performance Centre NRTI Total Ozone [L2 O3 ] Readme

AN IMPROVED TOTAL AND TROPOSPHERIC NO 2 COLUMN RETRIEVAL FOR GOME-2

Progress of total ozone data retrieval from Phaeton - REG(AUTH)

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116, D18301, doi: /2011jd015808, 2011

Spectral surface albedo derived from GOME-2/Metop measurements

SCIAMACHY VALIDATION USING GROUND-BASED DOAS MEASUREMENTS OF THE UNIVERSITY OF BREMEN BREDOM NETWORK

Detection of ship NO 2 emissions over Europe from satellite observations

Supplement of Cloud and aerosol classification for 2.5 years of MAX-DOAS observations in Wuxi (China) and comparison to independent data sets

SCIAMACHY Absorbing Aerosol Index

7. From Radiation Fields to Atmospheric Concentrations Retrieval of Geophysical Parameters

Tropospheric trace gas concentrations using infrared spectroscopy from space. Meeting report

Surface UV Irradiance from OMI on EOS Aura. Atmospheric Science Conference ESRIN, 8-12 May 2006 Aapo Tanskanen

S5P/TROPOMI SO2 ATBD. document number : S5P-BIRA-L2-400E-ATBD. issue : date : : Update for the public release of SO2 product

S5P/TROPOMI SO2 ATBD. document number : S5P-BIRA-L2-400E-ATBD CI identification : CI-400E-ATBD issue : date :

Dispersion modelling and warnings for volcanic ash in the Australian Region

Marie Boichu (1), Laurent Menut (1), Dmitry Khvorostyanov (1), Lieven Clarisse (2), Cathy Clerbaux (2,3), Solène Turquety (1)

10-YEARS OPERATIONAL GOME/ERS-2 TOTAL COLUMN PRODUCTS: THE GDP 4.0 VALIDATION

Ozone_cci Achievements

S5P Mission Performance Centre NRT Total Ozone [L2 O3 ] Readme

SCIAMACHY SOLAR OCCULTATION: OZONE AND NO 2 PROFILES

Simulation of UV-VIS observations

Near real-time monitoring of SO 2 and volcanic ash with IASI/Metop

Application of Aura/OMI PBL SO 2 product for estimating SO 2 emissions and future enhancements from new satellite missions

SCIAMACHY REFLECTANCE AND POLARISATION VALIDATION: SCIAMACHY VERSUS POLDER

Volcanic sulphur dioxide plume forecasts based on UV-satellite retrievals for the 2011 Grímsvötn and the 2010 Eyjafjallajökull eruption

Evidence from Satellite Data for Export phenomena

European Natural Airborne Disaster Information and Coordination System for Aviation

EUMETNET Statement for the EASA Workshop Volcanic Ash Cloud: Detection, Observation, Measurement, Modelling The Way Forward

Spectrograph dedicated to measuring tropospheric trace gas constituents from space

Belgian contributions to ozone research and monitoring

INTERNATIONAL CIVIL AVIATION ORGANISATION

Monitoring of trace gas emissions from space: tropospheric abundances of BrO, NO 2, H 2 CO, SO 2, H 2 O, O 2, and O 4 as measured by GOME

Comparison of methodologies for SO 2 and Ash identification using observations from IASI

Volcanic plume modelling and assimilation with the global MACC system (with emphasis on SO 2 )

Tropospheric NO 2 column densities deduced from zenith-sky DOAS measurements in Shanghai, China, and their application to satellite validation

THE USE OF IASI AND GOME-2 ATMOSPHERIC COMPOSITION DATA IN THE MACC-II DATA ASSIMILATION SYSTEM

TEN YEARS OF NO 2 COMPARISONS BETWEEN GROUND-BASED SAOZ AND SATELLITE INSTRUMENTS (GOME, SCIAMACHY, OMI)

DELTA-VALIDATION OF ENVISAT SCIAMACHY TOTAL OZONE AND NO 2 WITH THE DATA OF GROUND-BASED UV-VIS MEASUREMENTS (M-124 AND SAOZ)

Aerosol measurements from Space. Gerrit de Leeuw FMI & Uni of Helsinki, Finland & TNO, Utrecht, Netherlands

The Eyjafjallajokull Volcanic Ash Cloud and its Effects on Scottish Air Quality. Update 06 May 2010

Transcription:

ESA/EUMETSAT Workshop on Volcanic Ash Monitoring ESA/ESRIN, Frascati, 26-27 May 2010 Algorithms/Results (SO 2 and ash) based on SCIAMACHY and GOME-2 measurements Nicolas THEYS H. Brenot, J. van Gent and M. Van Roozendael (BIRA-IASB) P. Valks, M. Rix, D. Loyola (DLR) R. Van der A (KNMI) A. Richter (IUP Bremen)

- Contents - Support to Aviation Control Service (SACS) Example of results for the eruption of the Eyjafjallajokull volcano Algorithmic developments European Volcano Observatory Space Services Ash plume from the Eyjafjallajokull eruption on 15 Apr. 2010 Saeberg/Reuters

Support to Aviation Control Service (SACS) developed for ESA, within DUE (TEMIS) and GSE (PROMOTE) programmes started in 2006, now extended for 3 years (SACS+) The Support to Aviation Control Service (SACS) intends to deliver in nearreal time data from space-based instruments regarding SO 2 and aerosol (ash) data possibly related to volcanic activity. In case of an event notifications are send by email to users pointing them to a dedicated webpage with detailed information. If possible information on the location, elevation and motion of volcanic plumes will also be provided in collaboration with the SAVAA project. Volcanic Ash Advisory Centres (VAACs) Notifications of events and data from SACS+ can be useful to the VAACs and other interested users: volcanic observatories, air quality monitoring institutes, scientist, etc. Currently: 66 subscribers

Volcanic SO 2 services DLR: GOME-2 IUP Bremen: GOME-2 ULB: IASI http://wdc.dlr.de/data_products/services/gome2nrt/so2.php http://cpm-ws4.ulb.ac.be/alerts/index.php SAVAA GOME-2 SO2 alert service: http://www.doas-bremen.de/gome2_so2_alert.htm

Partners in SACS Belgian Institute for Space Aeronomy (BIRA-IASB) leader N. Theys, H. Brenot, J. van Gent and M. Van Roozendael Royal Netherlands Meteorological Institute (KNMI) R. van der A and Roeland van Oss Free University of Brussels (ULB) P. Coheur, L. Clarisse and C. Clerbaux German Aerospace Center (DLR): data provider P. Valks, M. Rix, D. Loyola

Data products of SACS Near-real time and archive service Instrument Data type Participants Data products Availability Alerts SCIAMACHY UV/visible BIRA SO 2 columns + + (ENVISAT) KNMI absorbing aerosol index + GOME-2 (MetOp-A) UV/visible DLR KNMI SO 2 columns* absorbing aerosol index + [+] [+] OMI UV/visible KNMI SO 2 columns + [+] (Aura) absorbing aerosol index + IASI Infrared ULB SO 2 index and columns [+] [+]** (MetOp-A) ash indicator [+] + = currently available [+] = to come during SACS+ * Operational product from DLR. ** IASI alerts currently available via ULB. [ All four sensors are nadir viewing instruments on near-polar sunsynchronous orbits]

SACS portal (hosted by BIRA-IASB) http://sacs.aeronomie.be/

Alert system: subscription to e-mail list

Alert system Eruption of the Vanuatu.. currently only based on SCIAMACHY data Criteria for exceptional SO2 events For each pixel with SO 2 SCD>3 DU, the 8 surrounding pixels are evaluated: -SO 2 SCD>3 DU: + 1 point -SO 2 SCD<0 DU: -1 point SACS notification of exceptional SO2 concentration ================================================== Process date : 2005 05 15 Process time : 23:56:01 CET Instrument : SCIAMACHY No. notices : 1 Alert notice : 1 -------------------- http://sacs.aeronomie.be/alert/?alert=20050515_224502_001 Start date : 2005 05 15 Start time : 22:45:02.724 UTC Aver. long. : 167.7 deg. Aver. latit. : -16.9 deg. Aver. sza : 24.5 deg. Max. SO2 vcd : 41.3 DU Remark : If points 5 then an alert is triggered and an e-mail is sent to interested users

Ongoing development: multi-sensors approach Aim: improve global alerts by using polar orbiting nadir sensors IASI SO2 20090618pm 20090618am

Multi-sensors approach SCIAMACHY is the worst instrument for an alert system (global coverage achieved in 6 days) Using data from satellite instruments with different overpasstimes is relevant to reduce the t between the time of the eruption and the time when the alert is sent. 09:30 am GOME-2, IASI 10:00 am SCIAMACHY night day 01:30 pm OMI IASI Possibility to associate a level of confidence to an event if it is observed by several sensors. However, a high level of confidence is at the expense of a small t! The synergistic use of GOME-2 and IASI data (both on MetOp-A) enables to discriminate surface SO 2 from FT/stratospheric SO 2.

The eruption of the volcano Eyjafjallajokull The eruption started on 14 th of April with little SO 2 detected (maybe obscured by the ash cloud). GOME-2 SO 2 15 April 2010 After the 23 rd of April, the evolution of the eruption has lead to a much stronger signal coming from SO 2 Operational product. Image produced by DLR

The eruption of the volcano Eyjafjallajokull 23 24 25 26 27 28 29 30 01 April 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 May 2010 2010 GOME-2 SO2 Combined SCIAMACHY and GOME-2 SO2 images Period: 23/04 17/05, 2010 SACS has generated more than 50 alerts for this period Operational product. Images produced by DLR

The eruption of the volcano Eyjafjallajokull GOME-2 monitoring of SO 2 plume Main area affected to the south and west Main SO 2 emissions in 2 nd phase of eruption Largest individual values and largest total mass not at the same time Overall Impact of Eyjafjallajoekull SO 2 plume

Absorbing Aerosol Index Absorbing aerosol index (AAI) is calculated based on the measured reflectances at 340 and 380 nm and indicates for the presence of elevated absorbing aerosols (volcanic ash but also desert dust and biomass burning). meas I I I I AI 100 log 10 0 log10 0 SCIAMACHY AAI data available on SACS website (GOME-2 available soon). SCIAMACHY and GOME-2 AAI products are produced by KNMI => more in P. Stammes s talk Ray

Algorithmic developments SCIAMACHY and GOME-2 SO 2 VCD retrieval starting point: DOAS approach (three steps) 1. SO 2 slant columns (integrated concentration along the mean optical light path) are retrieved from satellite measurements with a DOAS technique in the range 315 326 nm. DOAS fits a calculated spectrum which is based on the cross sections of SO 2, ozone and Ring effect and on a reference spectrum against the measured spectrum.

Algorithmic developments 2. Background correction for the offset due to the reference spectrum and the anticorrelation between SO 2 and O 3 observed at high solar zenith angles (high latitudes), due to strong ozone interferences. 3. SO 2 vertical columns are calculated by applying an air mass factor to account for the light path enhancement w.r.t. to the vertical path. VCD=SCD/AMF AMFs look-up-tables (calculated using Lidort RTM) with a set of entries (SZA, Viewing geometry, albedo, cloud fraction and cloud top pressure) and for 3 different plumes heights (boundary layer, freetroposphere and stratospheric conditions).

Algorithmic developments Alternative approach: iterative volcanic SO 2 retrieval (IUP Bremen) Problem: For large volcanic eruptions, the relation between absorption signal and SO 2 column becomes non-linear Solution: Iterative procedure Results: improved retrievals Larger SO 2 columns Change in SO 2 spatial pattern => significant improvement!

Algorithmic developments Alternative approach: direct fitting (BIRA-IASB) Tool GODFIT is a direct fitting algorithm that includes LIDORT as forward radiative transfer model and a state-of-the-art Rotational Raman Scattering (RRS) code Inversion techniques in development - volcanic ash/aerosol retrieval based on the different light intensity and RRS response of absorbing/non absorbing aerosols (LIDORT-RRS is the baseline forward RT code in GODFIT) - improvement of the SO2 VCD retrieval (high SO2 signal) - retrieval of the peak altitude of the SO 2 plume (particularly interesting for the VAACs).

SO 2 plume height retrieval Preliminary results: tests on synthetic UV spectra (310-320 nm) generated by LIDORT for a predefined standard atmosphere with the contribution from R. Spurr (RT Solutions, Inc.) SO 2 : 0.5 DU SO 2 : 1.5 DU SO 2 : 15 DU Height: 2.5 km (truth) 3.2 km (retrieved) Height: 5.5 km (truth) 5.58 km (retrieved) Height: 5.5 km (truth) 5.5 km (retrieved)