 Methodology  Comparison with others instruments  Impact of daily AMF  Conclusions Tropospheric NO 2 from SAOZ F. Goutail, A. Pazmino, A. Griesfeller,

Slides:



Advertisements
Similar presentations
Ewan OConnor, Robin Hogan, Anthony Illingworth Drizzle comparisons.
Advertisements

Using a Radiative Transfer Model in Conjunction with UV-MFRSR Irradiance Data for Studying Aerosols in El Paso-Juarez Airshed by Richard Medina Calderón.
Simultaneous profile measurements of BrO, OClO and NO 2 in the polar vortex Chris Sioris and Kelly Chance Smithsonian Astrophysical Observatory.
IUP Heidelberg – NDACC/NORS Meeting – July Aerosol Profiling during CINDI Udo Frieß Henk Klein Baltink Katrijn Clémer Udo Frieß Hitoshi Irie Tim.
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.
Mars’ North and South Polar Hood Clouds Jennifer L. Benson Jet Propulsion Laboratory, California Institute of Technology July 22, 2010 Copyright 2010 California.
Evaluation of Satellite NO2 Stratospheric Columns with the SAOZ/NDACC UV-Vis Network J.-P. Pommereau 1, F. Goutail 1, A. Pazmino 1, D. Ionov 1,3, F. Hendrick.
Assessing the impact of soil moisture on the diurnal evolution of the PBL and on orographic cumulus development over the Santa Catalina Mountains during.
DIRECT TROPOSPHERIC OZONE RETRIEVALS FROM SATELLITE ULTRAVIOLET RADIANCES Alexander D. Frolov, University of Maryland Robert D. Hudson, University of.
GEOS-CHEM Meeting 2005 Dylan Millet Variability of CH 2 O during ICARTT: Implications for GOME/OMI Dylan Millet GEOS-CHEM Users’ Meeting April 2005.
Hester Volten, Ellen Brinksma, Stijn Berkhout, Daan Swart, René van der Hoff, Hans Bergwerff, Pieternel Levelt, Gaia Pinardi, Michel Van Roozendael NO.
Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft NDACC H2O workshop, Bern, July 2006 Water vapour profiles by ground-based FTIR Spectroscopy:
Introduction. A major focus of SCOUT-O3 is the tropics and a key issue here is testing how well existing global 3D models perform in this region. This.
1 Surface nitrogen dioxide concentrations inferred from Ozone Monitoring Instrument (OMI) rd GEOS-Chem USERS ` MEETING, Harvard University.
OMI NO 2 observations of boreal forest fires Nicolas Bousserez, Randall V. Martin, Lok Lamsal, and the ARCTAS team Dalhousie University Halifax, Nova Scotia.
AQUA AURA The Berkeley High Spatial Resolution(BEHR) OMI NO2 Retrieval: Recent Trends in NO2 Ronald C. Cohen University of California, Berkeley $$ NASA.
Irie et al., Multi-component retrievals for MAX-DOAS, 2 nd CINDI workshop, Brussels, March 10-11, 2010 Multi-component vertical profile retrievals for.
Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.
1. The MPI MAX-DOAS inversion scheme 2. Cloud classification 3. Results: Aerosol OD: Correlation with AERONET Surface extinction: Correlation with Nephelometer.
Indirect Validation of Tropospheric Nitrogen Dioxide Retrieved from the OMI Satellite Instrument: Insight into the Seasonal Variation of Nitrogen Oxides.
Elena Spinei and George Mount Washington State University 1 CINDI workshop March 2010.
1 NO x emissions from power plants in China: bottom-up estimates and satellite constraints Siwen Wang, 1,3 Qiang Zhang, 2 David G. Streets, 3 Kebin He,
 Assuming only absorbing trace gas abundance and AOD are retrieved, using CO 2 absorption band alone provides a DOF ~ 1.1, which is not enough to determine.
Lok Lamsal, Nickolay Krotkov, Randall Martin, Kenneth Pickering, Chris Loughner, James Crawford, Chris McLinden TEMPO Science Team Meeting Huntsville,
Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Monitoring of near-real-time SCIAMACHY, MIPAS, and.
Technical tool to evaluate the effectiveness of control measures I. ALLEGRINI and C. PERRINO Consiglio Nazionale delle Ricerche ISTITUTO sull’INQUINAMENTO.
NORS/NDACC UV-VIS Working Group Meeting 3-4 July 2012 Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium Maud Pastel, Andrea Pazmino,
Observations of Formaldehyde and Related Atmospheric Species Using Multi-Axis Spectroscopy Christopher P. Beekman and Dr. Heather C. Allen Department of.
BrO Retrievals for UV-Visible Ground-Based Measurements Cristen Adams 1, Annemarie Fraser 1, Kimberly Strong 1, Robyn Schofield 2 1 Department of Physics,
SCIAMACHY satellite validation during the field campaigns CINDI and TRANSBROM Enno Peters, Folkard Wittrock, Andreas Richter, Mark Weber and John P. Burrows.
AMFIC second progress meeting MariLiza Koukouli & Dimitris Balis Laboratory of Atmospheric Physics Aristotle University of Thessaloniki.
CO 2 Diurnal Profiling Using Simulated Multispectral Geostationary Measurements Vijay Natraj, Damien Lafont, John Worden, Annmarie Eldering Jet Propulsion.
On the Model’s Ability to Capture Key Measures Relevant to Air Quality Policies through Analysis of Multi-Year O 3 Observations and CMAQ Simulations Daiwen.
Satellite and Aircraft Based Constraints on NO X Emissions Randall Martin Chris Sioris Kelly Chance Tom Ryerson Andy Neuman Ron Cohen UC Berkeley Aaron.
MELANIE FOLLETTE-COOK KEN PICKERING, PIUS LEE, RON COHEN, ALAN FRIED, ANDREW WEINHEIMER, JIM CRAWFORD, YUNHEE KIM, RICK SAYLOR IWAQFR NOVEMBER 30, 2011.
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.
HONO retrievals in Beijing and Xianghe F. Hendrick 1, K. Clémer 1,*, C. Fayt 1, C. Hermans 1, Y. Huan 1,2, T. Vlemmix 1, P. Wang 2, and M. Van Roozendael.
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.
Air Pollution/Environmental Technology laboratory Initial results on OMI NO 2 Validation during CINDI A contribution to the BIRA Cindi Workshop Yipin Zhou,
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.
Plans to study horizontal NO 2 distribution Ankie Piters, Tim Vlemmix, KNMI data from: INTA, IUPB, JAMSTEC, KNMI, Leicester, NASA Objectives: –Satellite.
Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee.
 4-azimuth MAX-DOAS measurements in Mainz  Characterisation of the information content using 3D RTM MAXDOAS horizontal (averaging) effects MPI for Chemistry.
OMI Nitrogen Dioxide Validation Overview Ellen Brinksma & Edward Celarier with inputs from many others (AO, NASA, …)
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.
1 Examining Seasonal Variation of Space-based Tropospheric NO 2 Columns Lok Lamsal.
Measurements of pollutants and their spatial distributions over the Los Angeles Basin Ross Cheung1,2, Olga Pikelnaya1,2, Catalina Tsai1, Jochen Stutz1,2,
SAOZ at Rothera 2. MAX-DOAS at Halley 3. SAOZ spare to Halley Howard Roscoe (BAS), NDACC UV-visible Workshop, BIRA, 3-4 July UV-visible sensors.
MAXDOAS observations in Beijing G. Pinardi, K. Clémer, C. Hermans, C. Fayt, M. Van Roozendael BIRA-IASB Pucai Wang & Jianhui Bai IAP/CAS 24 June 2009,
Lok Lamsal, Nickolay Krotkov, Sergey Marchenko, Edward Celarier, William Swartz, Wenhan Qin, Alexander Vasilkov, Eric Bucsela, Dave Haffner 19 th OMI Science.
EOS-AURA Science Team Meeting September 2009, Leiden Comparison of NO 2 profiles derived from MAX-DOAS measurements and model simulations.
TEMPO Validation Capabilities Pandora NO 2 Total and tropospheric columns of NO2 from direct sun measurements -> column along a narrow cone (0.5 o ), actual.
Validation of OMI and SCIAMACHY tropospheric NO 2 columns using DANDELIONS ground-based data J. Hains 1, H. Volten 2, F. Boersma 1, F. Wittrock 3, A. Richter.
First results of the aerosol profiling group IUP Heidelberg BIRA-IASB MPIC Mainz IUP Bremen JAMSTEC WSU KNMI NIWA Univ. Leicester PSI TNO RIVM KNMI.
Page 1 SAOZ EUREKA Feb-Mar 05 Post campaign Meeting - Eureka 2005,- 30 May 2005 Outline Objectives Results Florence Goutail Service d’Aeronomie / CNRS,
Page 1 OMI ST Meeting #11, KNMI, De Bilt, The Netherlands, June 2006 Validation of OMI trace gas products Main contributors (this work): Michel Van.
Challenge the future Corresponding author: Delft University of Technology Collocated OMI DOMINO and MODIS Aqua aerosol products.
MAX-DOAS observations of tropospheric aerosols and formaldehyde above China Tim Vlemmix Francois Hendrick Michel Van Roozendael Isabelle De Smedt Katrijn.
OMI Nitrogen Dioxide Workshop Ellen Brinksma, Folkert Boersma.
Evaluation of TM5 performance for assimilation purpose
DOAS workshop 2015, Brussels, July 2015
Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and
A. Pazmino, J. P. Pommereau, F. Goutail
On instrumental errors and related correction strategies of ozonesondes: possible effect on calculated ozone trends for the nearby sites Uccle and De Bilt.
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Space-based Diagnosis of Surface Ozone Sensitivity to Anthropogenic Emissions Randall Martin Aaron Van Donkelaar Arlene Fiore.
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:
MAXDOAS horizontal (averaging) effects
Presentation transcript:

 Methodology  Comparison with others instruments  Impact of daily AMF  Conclusions Tropospheric NO 2 from SAOZ F. Goutail, A. Pazmino, A. Griesfeller, D. Ionov LATMOS,CNRS/INSU, France OUTLINE Acknowledgements: Katrijn & Michel for MAXDOAS/IASB data Team from RIVM for In Situ data KNMI people for Boundary Layer Heights

Step 1: Calculate stratospheric column of the day  measurements at 90°-91°SZA (to limit pollution influence)  stratospheric NO2 AMF calculated with Sarkissian model for mid-lat single profile in summer Step 2: Remove the stratospheric content of each measurement  NO2 stratospheric diurnal variation considered Step 3: Calculate tropospheric column  3a Multiple scattering correction (using O4)  3b Column calculated using NO2 tropospheric AMF  3c Selection to SZA<82° Methodology

Clean day Very limited multiple scattering O4 slant columns better agreement with simulated using Urban aerosols! Overcast day Multiple scattering O4 slant columns larger than simulated -> use O 4 to take multiple scattering into account correction coef = O4 measured/O4 modeled Step 3a: Correction of multiple scattering from lower layers Methodology using SCIATRAN model

Step 3a: Correction of multiple scattering from lower layers Methodology Correction needed on overcast days

Comparison with others instruments Comparison between various instruments results  SAOZ zenith sky tropospheric columns using a tropospheric AMF Two tropospheric AMF have been tested (Step 3b)  Single AMF for the whole campaign using SCIATRAN NO2 and aerosols simulated profiles for June/July Mid-latitudes (Urban case)  Daily AMF calculated by IASB/BIRA using their MAXDOAS NO2 and aerosols measured profiles  MAXDOAS Integrated profiles in the troposphere  In Situ measurements (at 3m) converted to tropospheric column by considering homogeneous distribution in the boundary layer and using Boundary Layer Height of KNMI’s Ceilometer with best quality (3 & 4) Tropospheric NO2 columns

Comparison with others instruments => In Situ measurements converted to tropospheric column by considering homogeneous distribution in the BL and using BLH of KNMI’s ceilometer with best quality (3 & 4)  Similar daily evolution  Peaks are well reproduced from three instruments  Discrepancies SAOZ and in-situ / MAXDOAS at SZA>50° ->use of single AMF? Tropospheric NO2 columns use of calculated AMF using MAXDOAS profil (IASB team) 24/06/200925/06/2009

Impact of daily AMF Tropospheric NO2 columns 24/06/200925/06/2009

Tropospheric NO2 columns  Large improvement of SAOZ data compared to In-situ when using daily tropospheric IASB AMF, specially at SZA>50°  Improvement not significant around noon (SZA<50°) Impact of daily AMF 24/06/200925/06/2009

Tropospheric NO2 columns  Similar results for other days and different cases of NO2  Good agreement between instruments around noon => daily variability well reproduced  At SZA>50° - better agreement between In-situ and SAOZ using IASB daily AMF -MAXDOAS Integrated profiles sometimes overestimated. Impact of daily AMF 29/06/200930/06/2009

Conclusions  Intercomparison of three different instruments to crosscheck the tropospheric NO2 vertical columns  The use of Ceilometer boundary layer height allows to “convert” In-situ mixing ratio into vertical columns.  In general, good agreement between SAOZ, MAXDOAS/IASB & IN SITU/RIVM for different days Daily evolution and peaks are well reproduced and observed by the three instruments  Daily NO2 AMF calculated from MAXDOAS profiles improve significantly SAOZ data at SZA>50  Future: check others days and compare with others instruments (next step EGU, Vienna)