Anna Serdyuchenko, Victor Gorshelev, Wissam Chehade, Mark Weber, John P. Burrows University of Bremen, Institute for Environmental Physics.

Slides:



Advertisements
Similar presentations
OMI follow-on Project Toekomstige missies gericht op troposfeer en klimaat Pieternel Levelt, KNMI.
Advertisements

Page1 SCIAMACHY Calibration Review – ESTEC – Sept 2002 SCIAMACHY Tangent Height Verification H.Bovensmann University of Bremen Institute of Remote.
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.
1 ESA HARMONICS FP, 2012/05/08 ESA study HARMONICS Final Presentation M. Weber, A. Serdyuchenko, V. Gorshelev, W. Chehade Universität Bremen FB1, Institut.
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.
Victor Gorshelev, A. Serdyuchenko, M. Buchwitz, J. Burrows, University of Bremen, Germany; N. Humpage, J. Remedios, University of Leicester, UK IMPROVED.
Presentation on OMPS Nadir Mapper Wavelength Shift Adjustment for Earth-view Measurements.
A U R A Satellite Mission T E S
ASCO WG on ozone cross sections Ground based measurements of total ozone Alkis Bais (on behalf of the ASCO WG) 9/26/2013COST ES12017, Manchester,
Envisat Symposium, April 23 – 27, 2007, Montreux bremen.de SADDU Meeting, June 2008, IUP-Bremen Cloud sensitivity studies.
Ground and Satellite Observations of Atmospheric Trace Gases George H. Mount Laboratory for Atmospheric Research WSU 13 April 2007.
Climate Signal Detection from Multiple Satellite Measurements Yibo Jiang, Hartmut H. Aumann Jet Propulsion Laboratory, Californian Institute of Technology,
ASIC3 WorkshopLandsdowne, VA May 16-18, 2006 J. Harder Page 1 Calibration Status of the Solar Irradiance Monitor (SIM) : The Present and the Future Jerald.
Extracting Atmospheric and Surface Information from AVIRIS Spectra Vijay Natraj, Daniel Feldman, Xun Jiang, Jack Margolis and Yuk Yung California Institute.
Laser spectroscopic study of ozone in the 100←000 band for the SWIFT instrument M. Guinet, C. Janssen, D. Mondelain, C. Camy-Peyret LPMAA, CNRS- UPMC (France)
A 21 F A 21 F Parameterization of Aerosol and Cirrus Cloud Effects on Reflected Sunlight Spectra Measured From Space: Application of the.
Spectroscopy of Stratospheric Molecular O3
Anna Serdyuchenko, Victor Gorshelev, Mark Weber John P. Burrows University of Bremen, Institute for Environmental Physics OSU, Columbus OH, USA1.
SCILOV10 FP Meeting SCIAMACHY irradiance validation SCILOV10 FP, Frascati, 26/27 February, 2014 M. Weber and S.Noël Institute of Environmental Physics.
Quality of the official SCIAMACHY Absorbing Aerosol Index (AAI) level-2 product L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute.
Solar irradiance variability on hourly to decadal scale from SCIAMACHY and its impact on middle atmospheric ozone and ozone-climate interaction M. Weber,
Explore. Discover. Understand. AIR-BROADENED LINE WIDTHS AND SHIFTS IN THE ν 3 BAND OF 16 O 3 AT TEMPERATURES BETWEEN 160 AND 300 K M. A. H. SMITH and.
M. Van Roozendael, AMFIC Final Meeting, 23 Oct 2009, Beijing, China1 MAXDOAS measurements in Beijing M. Van Roozendael 1, K. Clémer 1, C. Fayt 1, C. Hermans.
Anna Serdyuchenko, Victor Gorshelev, Wissam Chehade, Mark Weber, John P. Burrows University of Bremen, Institute for Environmental Physics.
Trace gas and AOD retrievals from a newly deployed hyper-spectral airborne sun/sky photometer (4STAR) M. Segal-Rosenheimer, C.J. Flynn, J. Redemann, B.
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.
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Measurements.
Anna Serdyuchenko, Victor Gorshelev, Wissam Chehade, John P. Burrows, Mark Weber University of Bremen, Institute for Environmental Physics HARMONICS Final.
Introduction to Measurement Techniques in Environmental Physics
POLAR MULTI-SENSOR AEROSOL PROPERTIES OVER LAND Michael Grzegorski, Rosemary Munro, Gabriele Poli, Andriy Holdak and Ruediger Lang.
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.
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.
Harmonizationof GOME, SCIAMACHY, GOME-2 ozone cross-sections Anna Serdyuchenko, John P. Burrows, Mark Weber, Wissam Chehade University of Bremen, Germany.
A Long Term Data Record of the Ozone Vertical Distribution IN43B-1150 by Richard McPeters 1, Stacey Frith 2, and Val Soika 3 1) NASA GSFC
OMI validation by ground-based remote sensing: ozone columns and atmospheric profiles A. Shavrina,Ya. Pavlenko, A. Veles, I. Synyavsky, M. Sosonkin, Ya.
SOLSTICE II -- Magnesium II M. Snow 1*, J. Machol 2,3, R. Viereck 4, M. Weber 5, E. Richard 1 1 Laboratory for Atmospheric and Space Physics, University.
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.
SATELLITE REMOTE SENSING OF TERRESTRIAL CLOUDS Alexander A. Kokhanovsky Institute of Remote Sensing, Bremen University P. O. Box Bremen, Germany.
1 Monitoring Tropospheric Ozone from Ozone Monitoring Instrument (OMI) Xiong Liu 1,2,3, Pawan K. Bhartia 3, Kelly Chance 2, Thomas P. Kurosu 2, Robert.
H 2 O retrieval from S5 NIR K. Weigel, M. Reuter, S. Noël, H. Bovensmann, and J. P. Burrows University of Bremen, Institute of Environmental Physics
1 COST 723 WG1 Meeting 1 October 6-7, 2003 University of Bern, CH Availability of UTLS relevant SCIAMACHY data C. von.
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,
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Requirement: Provide information to air quality decision makers and improve.
Kelly Chance Harvard-Smithsonian Center for Astrophysics Xiong Liu, Christopher Sioris, Robert Spurr, Thomas Kurosu, Randall Martin,
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,
Status of ongoing Kiruna site Myojeong Gu, Thomas Wagner MPI for Chemistry, Mainz, Germany 1.
EXPERIMENTAL TRANSMISSION SPECTRA OF HOT AMMONIA IN THE INFRARED Monday, June 22 nd 2015 ISMS 70 th Meeting Champaign, Illinois EXPERIMENTAL TRANSMISSION.
ESA :DRAGON/ EU :AMFIC Air quality Monitoring and Forecasting In China Ronald van der A, KNMI Bas Mijling, KNMI Hennie Kelder KNMI, TUE DRAGON /AMFIC project.
CAPACITY User Requirements by Albert P H Goede 7 April 2004, KNMI Objective of Work Package 1000 Definition of User Requirements for Operational Monitoring.
SADDU Meeting, March 2009, SRON, Utrecht1 Recent progress on nadir UV-Vis retrievals at BIRA M. Van Roozendael 1 C. Lerot 1, I. De Smedt 1, N. Theys.
Atmospheric Composition & IG 3 IS Submitted by Geir Braathen and Oksana Tarasova for CGMS-44.
Ground-based measurements made with PARIS-IR during the ACE Canadian Arctic Validation Campaign in 2004 and 2005 Keeyoon Sung, Kaley Walker, Chris Boone.
UV/VIS backscattered Sun light retrievals from space born platforms
V2.0 minus V2.5 RSAS Tangent Height Difference Orbit 3761
Absolute calibration of sky radiances, colour indices and O4 DSCDs obtained from MAX-DOAS measurements T. Wagner1, S. Beirle1, S. Dörner1, M. Penning de.
Activity 4: GOME2 Matthijs Krijger Ralph Snel Pieter van der Meer
Mina Kang1, Myoung-Hwan Ahn1, Quintus Kleipool2 and Pepijn Veefkind2
The Successor of the TOU
Hyperspectral radiation: measurements and modelling
“Brief” update on ACE water vapour
Impact of approximations in the recommended Dobson algorithm on total column ozone measurements at four Australian sites M.B. Tully 1 1 Bureau of Meteorology,
Changchun Institute of Optics Fine Mechanics and Physics
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Diurnal Variation of Nitrogen Dioxide
Preliminary SCIAMACHY Lunar observations as intercalibration source
Retrieval of SO2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development and Validation Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne:
Potential contribution to
Presentation transcript:

Anna Serdyuchenko, Victor Gorshelev, Wissam Chehade, Mark Weber, John P. Burrows University of Bremen, Institute for Environmental Physics

2 Inspired by satellites, performed on Earth…. Atmospheric species detection:  Satellite spectrometers  Available databases for the reference data Challenges of cross-section measurements in laboratory:  Modern demands on the O3 absorption cross-section quality  Experimental equipment  Absolute calibration. Results:  Ozone spectra in UV /VIS/IR;  Comparison with existing datasets. MolSpec Lab IUP University of Bremen21 June 2011

3 MolSpec Lab IUP University of Bremen

4 Satellite/airborne/ground spectrometers monitor: Stratosphere: ozone chemistry, volcanic events, solar proton events Troposphere: biomass burning, pollution, arctic haze, forest fires, dust storms, industrial plumes Clouds, aerosols, UV index Detected: the solar radiation transmitted, backscattered and reflected from the Earth atmosphere and surface, also direct sunlight Absorption spectra cover: O3 O2 NO2 N2O BrO OClO SO2 H2CO2 CO CO2 CH4 H2O GOME, GOME2 (Global Ozone Monitoring Experiment): scanning 4 channels grating spectrometer with nadir-view SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric Chartography): scanning 8 channels grating spectrometer with nadir/limb-view MolSpec Lab IUP University of Bremen21 June 2011

Long-term time-series of O 3 is important for air quality study, Montreal Protocol monitoring of ozone depleting substances, ozone-climate interaction etc Long-term global data sets covering several decades are only available by combining datasets from multiple sensors (satellite spectrometers and ground based instruments: Brewer, Dobson spectrophotometers ). At least two decades of observations with global coverage in several daysSpectrometerSatelliteLaunch GOMEERS-2April 1995 SCIAMACHYENVISATMarch 2002 GOME-2MetOp -AOctober 2006 MetOp - B~ 2012 MetOp - C~ MolSpec Lab IUP University of Bremen21 June 2011

6 Absorption cross-sections can introduce an important error source For GOME, SCIAMACHY, and GOME2 flight models were used to measure absorption cross-section prior to launch. Advantage: exact match of spectral resolution between satellite radiance and cross-sections; Knowledge for instrumental slit function is not neededSpectrometerSatelliteLaunch Pre-launch O3 cross-sections GOMEERS-2April 1995GOME FM (Burrows et al. 1999) SCIAMACHYENVISATMarch 2002SCIAMACHY FM (Bogumil et al. 2003) GOME-2MetOp -AOctober 2006GOME2 FM3 (Gür et al., 2005) MetOp - B~ June 2012GOME2 FM21 (Gür et al., 2005) MetOp - C~ MolSpec Lab IUP University of Bremen21 June 2011

Spurious instrumental trends in multiple instruments time series SCIAMACHY total O 3 retrieval (using SCIAMACHY FM reference spectra) were 5% higher than GOME (with GOME FM reference spectra) in the range nm GOME2 total O 3 retrieval (using GOME2 FM) is 9% higher than calculated with resolution adjusted GOME FM Harmonisation of O 3 FM cross-sections from GOME and SCIAMACHY for a consistent retrieval State of the Climate in 2008, Bull. Amer. Meteor. Soc., submitted, June 2011MolSpec Lab IUP University of Bremen

The committee "ACSO" ("Absorption Cross Sections of Ozone") was established in spring 2009 by the World Meteorological Organization (WMO) and the International Association of Meteorology and Atmospheric Sciences (IAMAS) to  Review the presently available ozone absorption cross sections  Determine the impact of changing the reference ozone absorption cross sections for all of the commonly used atmospheric ozone monitoring instruments.  Recommend whether a change needs to be made.  The recommendations are to be discussed with the community of the involved experts. The work will be finished within two years after the first meeting in May June 2011MolSpec Lab IUP University of Bremen

9 ‘Low’ resolution (0.2 nm): SCIAMACHY ‘High’ resolution (0.02 nm): Brion et al, currently recommended by HITRAN IUP MolSpec Lab homepage: IGACO (Integrated Global Atmospheric Chemistry Observations) homepage: 21 June 2011MolSpec Lab IUP University of Bremen

10 wavelength coverage UV/VIS/NIR; vacuum wavelength accuracy better than nm; spectral resolution ~ 0.02 nm; absolute intensities accuracy: 2%; temperature: 190K-300K, step 10K sufficient accuracy to detect a 1% pro decade trend! 21 June 2011MolSpec Lab IUP University of Bremen

1121 June 2011MolSpec Lab IUP University of Bremen

Echelle spectrometer coverage Echelle spectrometer coverage FT spectrometer coverage 1221 June 2011MolSpec Lab IUP University of Bremen

13MolSpec Lab IUP University of Bremen21 June 2011

1421 June 2011MolSpec Lab IUP University of Bremen

15MolSpec Lab IUP University of Bremen21 June 2011 Error originAccuracy/precision  absorption cross section 1-2 % ODOptical densityReproducibility of spectra intensitiesBetter than 1 % for most of the spectral regions AScaling factorAbsolute calibration parametersBetter than 2 % for most of the spectral regions I / I 0 transmitted intensity with /without ozone L absorption path length (1 – 20 m) N ozone density p Ozone pressure (1- 50 mbar) k Boltzmann constant T Temperature (200 – 300 K)

16 Instrument: Echelle, FTS Averaged: over 2000 (100) scans Time: ~ 30 minutes Source: Xe and deuterium lamps 21 June 2011MolSpec Lab IUP University of Bremen

21 June MolSpec Lab IUP University of Bremen

18 Measurements: Each spectrum consists of 8 pieces11 temperatures3 – 5 approachesAbout 300 measurements Processing: 16 spectra edges2 parameters: OD and SD values11 temperaturesAbsolute calibration parameters 21 June 2011MolSpec Lab IUP University of Bremen

 Ozone quantity retrieval  Polynomial dependence on temperature:  So-called Bass-Paur parameterization (2 nd order polynomial)  For selected wavelengths in Huggins band  Comparison with existing datasets  High resolution datasets ▪ Bass –Paur (BP) ▪ Brion et al (BMD)  Low resolution datasets: ▪ GOME ▪ GOME-2 ▪ SCIAMACHY 1921 June 2011MolSpec Lab IUP University of Bremen

 Band-integrated cross-sections as functions of temperature:  Insensitive to resolution  Direct comparison:  resolution matching  relative shift in wavelength  absolute scaling factor  regions: ▪ UV (220 – 320 nm); ▪ DOAS (320 – 340 nm); ▪ Bottom (350 – 450 nm); ▪ Visible ( nm); ▪ IR (700 – 1000 nm) 2021 June 2011MolSpec Lab IUP University of Bremen

21 No resolution matching ‘Bass-Paur ’parametrisation 328 nm “hill”, 330 nm “valley” Black– SCIAMACHY Blue – BMD Red – New Data 21 June 2011MolSpec Lab IUP University of Bremen

– 340 nm contains DOAS window used for retrievals. All datasets cover this region T, KMean ValueNew data, x ± 3.3% ± 2.6% ±1.9% ± 1.3% ± 1% June 2011MolSpec Lab IUP University of Bremen

BP – Bass Paur, BMD – Brion et al  quadratic polynomial inter/extrapolation K with step of 10K  inter/extrapolation on the common grid with step of 0.01 nm  no resolution matching needed  difference mean over 20/25 nm Green – comparison BP versus new experiment ( nm); Red – comparison BMD versus new experiment ( nm); Black – comparison BP versus BMD; Comparison in Huggins band region: new data versus high resolution datasets, relative difference and shifts 23 BP- BMDBMD- New Data BP –New Data Shift, nm nm0.02 Mean relative difference 3%1-2%2-3% 21 June 2011MolSpec Lab IUP University of Bremen

24  interpolation on the common grid (step 0.01 nm)  resolution matching: Gaussian, FWHM = 0.2 nm  difference mean over 20 nm  Shift: nm,  mean relative difference: 2% Comparison in Huggins band region: new data versus SCIAMACHY, relative difference and shifts 21 June 2011MolSpec Lab IUP University of Bremen

Direct comparison in VIS and IR regions: new data versus SCIAMACHY, GOME and GOME-2, 203 K 2521 June 2011MolSpec Lab IUP University of Bremen

Direct comparison in VIS and IR regions: new data versus SCIAMACHY at different temperatures 2621 June 2011MolSpec Lab IUP University of Bremen

Total ozone retrieval of GOME-2 and SCIAMACHY. The data have to be convoluted to GOME-2 and SCIAMACHY slit function. The optimum wavelength shifts are found at nm and nm for GOME-2 and SCIAMACHY respectively June 2011MolSpec Lab IUP University of Bremen The total ozone columns retrieved from GOME-3 and SCIAMACHY satellites using the new experimental cross-section data are in good agreement with the amounts retrieved by the current data and are +1% and +2% respectively

28 Summer 2009: Start of FTS measurements VIS/IR Autumn 2009: New spectrometer (Echelle) Spring 2010: Relative measurements UV/VIS Summer 2010: Absolute calibration methods Winter 2010/11: absolute measurements Spring 2011: Tests on retrievals Summer 2011: Publication 21 June 2011MolSpec Lab IUP University of Bremen

Summary  Full measurements set  11 temperatures,  UV-VIS-IR,  Absolute scaling using O 3 trap Future Steps  Additional IR region – around 1.6 mkm and 10 mkm  Test on retrievals – spring/summer 2011  Publication – summer June 2011MolSpec Lab IUP University of Bremen

30 Thank you for attention ! 21 June 2011

MolSpec Lab IUP University of Bremen3121 June 2011

32 Data setTemperatures, KResolution, nmWavelength, nm GOME FM Burrows et al., 1999 ‏ nm SCIAMACHY FM Bogumil et al., nm GOME2 FM Spietz et al., nm240 – 790 Paur and Bass, <0.025 nm(?) ‏ Malicet et al Brion et al., 1993 Daumont et al., nm UV-FTS Voigt et al., nm Introduction and motivation Experimental set-up Analysis of sources of uncertainty Results and Outlook MolSpec Lab IUP University of Bremen21 June 2011

MolSpec Lab IUP University of Bremen33 Dataset Resolution, nm (FWHM) Wavelength region, nm Current work FTS0.02 – – 1000 Echellet – 830 SCIAMACHY0.32 – – 1070 GOME, GOME-20.2 – – 794 High Resolution Brion et al – 830 External datasets: GOME, GOME2, SCIAMACHY, Brion et al (high resolution) Resolution matching Introduction and motivation Experimental set-up Analysis of sources of uncertainty Results and Outlook 21 June 2011

MolSpec Lab IUP University of Bremen34 Upgraded cooling system Max possible cooling: down to 193 K Temperature stabilization at intermediate points with step of 10 K Reliable temperature determination (better than 5% accuracy) : Pt sensors, spectroscopic method Upgraded gas pre-cooler features 10 meter Cu pipe bound to fit cryostat bath guaranteed cooling down to cryostat vessel temperature; ozone-friendly internal coating minimal heat gain between precooler ant test cell Sensors: Precooler:  Goals and strategy  Re-analysis  Experimental set-up  Serial measurements and preliminary results 21 June 2011

MolSpec Lab IUP University of Bremen35 Cooling: double jacket (vacuum/ethanol) cell, cryostat with pre-cooling: 10 m Cu tube coil with inert coating Control: O2-A band at 760 nm, experimental spectrum: from FTS at 0.5 cm, model spectrum: using HITRAN line parameters accuracy: 5 K or better Introduction and motivation Experimental set-up Analysis of sources of uncertainty Results and Outlook 21 June 2011