Progress on the unification of the SO 2 retrieval for GOME-2A/B and OMI C. Hörmann, S. Beirle, K. Mies and T. Wagner First German S5P Verification Meeting.

Slides:

Advertisements

Similar presentations

Bremen Limb Workshop Satellite group First Heidelberg SCIA Limb Results Thomas Wagner,

Advertisements

Algorithm improvements for Dutch OMI NO2 retrievals (towards v3.0)

WP 5 : Clouds & Aerosols L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute (KNMI) SCIAvisie Meeting, KNMI, De Bilt, Absorbing.

WP 3: Absorbing Aerosol Index (AAI) WP 10: Level-1 validation L.G. Tilstra 1, I. Aben 2, and P. Stammes 1 1 Royal Netherlands Meteorological Institute.

Simultaneous profile measurements of BrO, OClO and NO 2 in the polar vortex Chris Sioris and Kelly Chance Smithsonian Astrophysical Observatory.

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.

MCST – MODLAND Eric F. Vermote –MODLAND representative.

Mars’ North and South Polar Hood Clouds Jennifer L. Benson Jet Propulsion Laboratory, California Institute of Technology July 22, 2010 Copyright 2010 California.

Page 1 OMI Science Team Meeting, Helsinki, Finland, 24 – 27 June 2008M. Van Roozendael et al. On the usability of space nadir UV-visible observations for.

Retrieval of SO 2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne: Dalhousie.

DOAS Retrievals of Stratospheric O 3 and NO 2 from Odin / OSIRIS Limb-Radiance Measurements Samuel Brohede Craig S. Haley and the Odin team Chalmers University.

Monitoring Air Quality Changes in Regions Influenced by Major Point Sources over the Eastern and Central United States Using Aura/OMI NO 2 Ken Pickering.

0. To first order, the instrument is working very well ! 1.Evolution of the IR detector with time 2.Stability of the L channel 3.Saturation 4.Linearity.

SCILOV10 FP Meeting SCIAMACHY irradiance validation SCILOV10 FP, Frascati, 26/27 February, 2014 M. Weber and S.Noël Institute of Environmental Physics.

1. The MPI MAX-DOAS inversion scheme 2. Cloud classification 3. Results: Aerosol OD: Correlation with AERONET Surface extinction: Correlation with Nephelometer.

MAXDOAS formaldehyde slant column measurements during CINDI: intercomparison and analysis improvement G. Pinardi, M. Van Roozendael, N. Abuhassan, C. Adams,

Cloud algorithms and applications for TEMPO Joanna Joiner, Alexander Vasilkov, Nick Krotkov, Sergey Marchenko, Eun-Su Yang, Sunny Choi (NASA GSFC)

Quality of the official SCIAMACHY Absorbing Aerosol Index (AAI) level-2 product L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute.

Elena Spinei and George Mount Washington State University 1 CINDI workshop March 2010.

Application of OMI tropospheric NO2 for air quality monitoring in Northern Europe: shipping and land-based case studies Iolanda Ialongo (FMI) Hakkarainen,

Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Validation of ENVISAT trace gas data products by comparison.

SO2 and HCHO data from satellite & MAXDOAS instrument in Beijing Jos van Geffen Michel Van Roozendael, Isabelle De Smedt BIRA-IASB 1st AMFIC progress meeting.

ARCTAS BrO Measurements from the OMI and GOME-2 Satellite Instruments

A. Bracher, L. N. Lamsal, M. Weber, J. P. Burrows University of Bremen, FB 1, Institute of Environmental Physics, P O Box , D Bremen, Germany.

S5P tropospheric ozone product: Convective Cloud Differential method First German S5P Verification Meeting Bremen, November 2013 Pieter Valks DLR,

Validation workshop, Frascati, 13 December 2002Page 1 SCIAMACHY products quality and recommendations Based on presentations and discussions during this.

UV Aerosol Indices from (TROP)OMI An investigation of viewing angle dependence , Marloes Penning de Vries and Thomas Wagner Max Planck Institute.

S5P Ozone Profile (including Troposphere) verification: RAL Algorithm R.Siddans, G.Miles, B.Latter S5P Verification Workshop, MPIC, Mainz th May.

SAO OMI formaldehyde, water vapor and glyoxal retrievals Gonzalo Gonzalez Abad Helen Wang Christopher Miller Kelly Chance Xiong Liu Thomas Kurosu OMI Science.

Satellite group MPI Mainz Investigating Global Long-term Data Sets of the Atmospheric H 2 O VCD and of Cloud Properties.

Validation of SCIAMACHY total ozone: ESA/DLR V5(W) and IUP WFDOAS V2(W) M. Weber, S. Dikty, J. P.Burrows, M. Coldewey-Egbers (1), V. E. Fioletov (2), S.

Intercomparison of OMI NO 2 and HCHO air mass factor calculations: recommendations and best practices A. Lorente, S. Döerner, A. Hilboll, H. Yu and K.

MAX-DOAS observations and their application to validations of satellite and model data in Wuxi, China 1) Satellite group, Max Planck institute for Chemistry,

Comparison of OMI NO 2 with Ground-based Direct Sun Measurements at NASA GSFC and JPL Table Mountain during Summer 2007 George H. Mount & Elena Spinei.

Validation of OMI NO 2 data using ground-based spectrometric NO 2 measurements at Zvenigorod, Russia A.N. Gruzdev and A.S. Elokhov A.M. Obukhov Institute.

OMI validation workshop - 22 nd June 2006 Louisa. J. Kramer (1), Paul. S. Monks (2), Roland. J. Leigh (1) (1) Earth Observation Science, Space Research.

Evaluation of OMI total column ozone with four different algorithms SAO OE, NASA TOMS, KNMI OE/DOAS Juseon Bak 1, Jae H. Kim 1, Xiong Liu 2 1 Pusan National.

Trace gas algorithms for TEMPO G. Gonzalez Abad 1, X. Liu 1, C. Miller 1, H. Wang 1, C. Nowlan 2 and K. Chance 1 1 Harvard-Smithsonian Center for Astrophysics.

Henk Eskes, OMI meeting June 2006 OMI Nitrogen Dioxide: The KNMI Near-Real Time Product Henk Eskes, Pepijn Veefkind, Folkert Boersma, Ronald van.

Rutherford Appleton Laboratory Remote Sensing Group Tropospheric ozone retrieval from uv/vis spectrometery RAL Space - Remote Sensing Group Richard Siddans,

C. Lerot 1, M. Koukouli 2, T. Danckaert 1, D. Balis 2, and M. Van Roozendael 1 1 BIRA-IASB, Belgium 2 LAP/AUTH, Greece S5P L2 Verification Meeting – 19-20/05/2015.

1 Examining Seasonal Variation of Space-based Tropospheric NO 2 Columns Lok Lamsal.

AMFIC Progress Meeting, Barcelona, 24 June Space-nadir observations of formaldehyde, glyoxal and SO 2 columns with SCIAMACHY and GOME-2. Isabelle.

Monitoring of sulphur dioxide emissions from satellite as part of GSE PROMOTE Jos van Geffen, Michel Van Roozendael, Isabelle De Smedt, Caroline Fayt (BIRA-IASB)

1 Improving SO 2 AMFs: Comparison of different approaches P. Hedelt, P. Valks, D. Loyola Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institut.

Evaluation of model simulations with satellite observed NO 2 columns and surface observations & Some new results from OMI N. Blond, LISA/KNMI P. van Velthoven,

1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,

1 CALIPSO VALIDATION and DATA QUALITY IMPROVEMENT EECLAT T0, J. Pelon.

March 21, ‘06 comp. May 5, ‘06 comp Summary ~4% swath angle dependent difference Up to 9% difference over clouds Differences correlate with snow/ice.

OMI Nitrogen Dioxide Workshop Ellen Brinksma, Folkert Boersma.

Iodine Monoxide (IO) Nadir Scientific Data Product

Physics and Astronomy An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference Jasdeep S. Anand

Other Trace Gases (a.k.a. HCHO, BrO, and OClO) Status & Outlook

DOAS workshop 2015, Brussels, July 2015

UV/VIS backscattered Sun light retrievals from space born platforms

Michel Van Roozendael BIRA-IASB, Brussels, Belgium

N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R

Can Li NASA GSFC Code 614 & ESSIC, UMD

Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and

Huiqun Wang1 Gonzalo Gonzalez Abad1, Xiong Liu1, Kelly Chance1

Absolute calibration of sky radiances, colour indices and O4 DSCDs obtained from MAX-DOAS measurements T. Wagner1, S. Beirle1, S. Dörner1, M. Penning de.

Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC Height-resolved aerosol R.Siddans.

Toru Kouyama Supported by SELENE/SP Team HISUI calibration WG

GSICS/CEOS web meeting on Reference Solar Spectrum

Lunar reflectance model based on SELENE/SP data

Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and

Retrieval of SO2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development and Validation Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne:

What determines column CO2?

Retrieval of SO2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development and Validation Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne:

Presentation transcript:

Progress on the unification of the SO 2 retrieval for GOME-2A/B and OMI C. Hörmann, S. Beirle, K. Mies and T. Wagner First German S5P Verification Meeting Bremen November 28 and 29, 2013

Unification of SO 2 DOAS retrieval - Same DOAS fit properties for all 3 instruments (GOME-2A, GOME-2B, OMI): - Fit range: nm - Used absorption cross sections: SO 2 223K (Bogumil et al.) O 3 223K (Bogumil et al.) O 3 223K * λ additional O 3 cross sections to correct O 3 223K ^ 2 for AMF wavelength dependence (Pukite et al., 2011) Ring Inverse reference ( straylight correction) - Calibration via single reference spectrum for GOME-2A/B, individual reference spectra for each OMI detector raw

New SO 2 DOAS retrieval for OMI Daily de-striping by subtraction of detector raw dependent offset from Pacific reference sector (red orbit stripes on April 1 due to „OMI Zoom Mode“  individual calibration needed?!?)

Daily data: OMI SO 2 VCD (geo.) lat. dependent offset still visible eruption of Piton de la Fournaise  Substraction of latitudinal dependent offset (calculated for each grid row, i.e. 0.1°)

offset corrected Daily data: OMI SO 2 VCD (geo.)

Comparison to GOME-2A SO 2 VCD (geo.)  Good agreement, only small differences because of different overpass time

GOME-2A OMI Mean latitudinal SO 2 VCD (without latitudinal offset correction) Latitude [°N] Mean SO 2 VCD

GOME-2A OMI Mean latitudinal SO 2 VCD (latitudinal offset corrected) Latitude [°N] Mean SO 2 VCD

Monthly mean: OMI SO 2 VCD (geo.) offset corrected lat. dependent offset again visible interference with topography and bright surfaces ice edge visible

Comparison to GOME-2A SO 2 VCD (geo.)  Very good agreement  Less interference with topography because of pixel size? less interference with topography

GOME-2A OMI Latitude [°N] Mean SO 2 VCD Mean latitudinal SO 2 VCD (without latitudinal offset correction)

GOME-2A OMI Latitude [°N] Mean SO 2 VCD Mean latitudinal SO 2 VCD (latitudinal offset corrected)

GOME-2A vs. OMI (monthly mean)  Good agreement between GOME-2A and OMI for monthly mean  Best correlation for Norilsk region probably because of fairly constant emissions Popocatépetl/Mexico City Nyiamuragira Norilsk (volcanic/anthropogenic) (volcanic) (anthropogenic) 1:1 slope

Comparison of GOME-2A vs. GOME-2B data format problem (contact R. Lang)  GOME-2A data quality decreased due to degradation (σ 2013 ≈ 2 ∙ σ 2007 )  due to narrow swath, global coverage after ≈ 4.5 days

 good agreement (almost same overpass time)  GOME-2B data blurred compared to GOME-2A (larger pixel size) GOME-2B SO 2 VCD

GOME-2A GOME-2B Latitude [°N] Mean SO 2 VCD Mean latitudinal SO 2 VCD (without latitudinal offset correction) strong latitudinal offset (unknown origin)

GOME-2A GOME-2B Latitude [°N] Mean SO 2 VCD Mean latitudinal SO 2 VCD (latitudinal offset corrected) Very good agreement after latitudinal offset correction

GOME-2A vs. GOME-2B (monthly mean)  Good agreement between GOME-2A and GOME-2B for monthly mean  Large scatter visible in GOME-2A data Popocatépetl/Mexico City Nyiamuragira Nevado del Ruiz (volcanic/anthropogenic) (volcanic) (volcanic) 1:1 slope

Plans for the near future 1)Further improving SO 2 fit (  especially GOME-2A/B) 2)Comparison of timeseries/annual maps (e.g. China, Norilsk…) 3)Evaluation of SCIAMACHY data 4)Implementation of SO 2 DOAS fit at larger wavelengths for OMI + combination approach + intercomparison GOME-2A/B/OMI 5) Analysis and comparison of test data (CAMELOT)