Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee.

Slides:



Advertisements
Similar presentations
Inferring SO 2 and NO x Emissions from Satellite Remote Sensing Randall Martin with contributions from Akhila Padmanabhan, Gray O’Byrne, Sajeev Philip.
Advertisements

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.
Simulation of Absorbing Aerosol Index & Understanding the Relation of NO 2 Column Retrievals with Ground-based Monitors Randall Martin (Dalhousie, Harvard-Smithsonian)
Global Climatology of Fine Particulate Matter Concentrations Estimated from Remote-Sensed Aerosol Optical Depth Aaron van Donkelaar 1, Randall Martin 1,2,
Satellite Remote Sensing of a Multipollutant Air Quality Health Index Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal,
Improvement and validation of OMI NO 2 observations over complex terrain A contribution to ACCENT-TROPOSAT-2, Task Group 3 Yipin Zhou, Dominik Brunner,
Retrieval of SO 2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne: Dalhousie.
Satellite-based Global Estimate of Ground-level Fine Particulate Matter Concentrations Aaron van Donkelaar1, Randall Martin1,2, Lok Lamsal1, Chulkyu Lee1.
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.
1 Global Observations of Sulfur Dioxide from GOME Xiong Liu 1, Kelly Chance 1, Neil Moore 2, Randall V. Martin 1,2, and Dylan Jones 3 1 Harvard-Smithsonian.
Satellite Remote Sensing of Global Air Pollution
Indirect Validation of Tropospheric Nitrogen Dioxide Retrieved from the OMI Satellite Instrument: Insight into the Seasonal Variation of Nitrogen Oxides.
Cloud algorithms and applications for TEMPO Joanna Joiner, Alexander Vasilkov, Nick Krotkov, Sergey Marchenko, Eun-Su Yang, Sunny Choi (NASA GSFC)
Trans-Pacific Transport of Ozone and Reactive Nitrogen During Spring Thomas W. Walker 1 Randall V. Martin 1,2, Aaron van Donkelaar.
Validation of a Satellite Retrieval of Tropospheric Nitrogen Dioxide Randall Martin Dalhousie University Smithsonian Astrophysical Observatory Daniel Jacob.
Insight from the A-Train into Global Air Quality Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Akhila Padmanabhan,
Surface Reflectivity from OMI: Effects of snow on OMI NO 2 retrievals Gray O’Byrne 1, Randall Martin 1,2, Joanna Joiner 3, Edward A. Celarier 3 1 Dalhousie.
Lok Lamsal, Nickolay Krotkov, Randall Martin, Kenneth Pickering, Chris Loughner, James Crawford, Chris McLinden TEMPO Science Team Meeting Huntsville,
Randall Martin Space-based Constraints on Emission Inventories of Nitrogen Oxides Chris Sioris, Kelly Chance (Smithsonian Astrophysical Observatory) Lyatt.
Satellite Observations of Tropospheric Gases and Aerosols Randall Martin With contributions from: Rongming Hu (Dalhousie University) Chris Sioris, Xiong.
Using Satellite Data to Infer Surface Emissions and Boundary Layer Concentrations of NO x (and SO 2 ) Randall Martin With contributions from: Xiong Liu,
Long − Range Transport of Asian Sulfate and Its Effects on the Canadian Sulfate Burden Aaron van Donkelaar, Randall V. Martin – Dalhousie University W.
Randall Martin Space-based Constraints on Emissions of Nitrogen Oxides With contributions from: Chris Sioris, Kelly Chance (Smithsonian Astrophysical Observatory)
Surface Reflectivity from OMI: Effects of Snow on OMI NO 2 Gray O’Byrne 1, Randall Martin 1,2, Aaron van Donkelaar 1, Joanna Joiner 3, Edward A. Celarier.
Advances in Applying Satellite Remote Sensing to the AQHI Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Akhila Padmanabhan, Dalhousie.
Satellite and Aircraft Based Constraints on NO X Emissions Randall Martin Chris Sioris Kelly Chance Tom Ryerson Andy Neuman Ron Cohen UC Berkeley Aaron.
US Aerosols : Observation from Space, Climate Interactions Daniel J. Jacob and funding from NASA, EPRI, EPA with Easan E. Drury (now at NREL), Loretta.
Applications of Satellite Remote Sensing to Estimate Global Ambient Fine Particulate Matter Concentrations Randall Martin, Dalhousie and Harvard-Smithsonian.
Using Satellite Remote Sensing to Estimate Global Outdoor Air Pollution Exposure Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar,
ANALYSIS OF TROPOSPHERIC OBSERVATIONS FROM GOME AND TOMS Randall Martin, Daniel Jacob, Jennifer Logan, Paul Palmer Harvard University Kelly Chance, Thomas.
Application of Satellite Observations for Timely Updates to Bottom-up Global Anthropogenic NO x Emission Inventories L.N. Lamsal 1, R.V. Martin 1,2, A.
Folkert Boersma Reducing errors in using tropospheric NO 2 columns observed from space.
Central EuropeUS East CoastJapan Global satellite observations of the column-averaged dry-air mixing ratio (mole fraction) of CO 2, denoted XCO 2, has.
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.
Space-based Constraints on Global SO 2 Emissions and Timely Updates for NO x Inventories Randall Martin, Dalhousie and Harvard-Smithsonian Chulkyu Lee,
Long−Range Transport of Asian Sulphate to Canada Aaron van Donkelaar, Randall V. Martin, Thomas Walker – Dalhousie University W. Richard Leaitch, Anne.
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.
Satellite Remote Sensing of NO 2 as an Indicator of Aerosol Pollution: Opportunities from GEMS (and GOCI) Observations Randall Martin with contributions.
Improving Retrievals of Tropospheric NO 2 Randall Martin, Dalhousie and Harvard-Smithsonian Lok Lamsal, Gray O’Byrne, Aaron van Donkelaar, Dalhousie Ed.
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.
How accurately we can infer isoprene emissions from HCHO column measurements made from space depends mainly on the retrieval errors and uncertainties in.
Two New Applications of Satellite Remote Sensing: Timely Updates to Emission Inventories and Constraints on Ozone Production Randall Martin, Dalhousie.
Some Applications of Satellite Remote Sensing for Air Quality: Implications for a Geostationary Constellation Randall Martin, Dalhousie and Harvard-Smithsonian.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Requirement: Provide information to air quality decision makers and improve.
Lok Lamsal, Nickolay Krotkov, Sergey Marchenko, Edward Celarier, William Swartz, Wenhan Qin, Alexander Vasilkov, Eric Bucsela, Dave Haffner 19 th OMI Science.
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.
USE OF GEOS-CHEM BY SMITHSONIAN ASTROPHYSICAL OBSERVATORY AND DALHOUSIE UNIVERSITY Randall Martin Mid-July SAO Halifax, Nova Scotia.
Observing Air Quality from Space Randall Martin, Aaron van Donkelaar, Lok Lamsal, Chulkyu Lee, Carolyn Verduzco Undergraduate Science Conference 25 September.
Satellite Remote Sensing of the Air Quality Health Index Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Dalhousie University.
Global Air Pollution Inferred from Satellite Remote Sensing Randall Martin, Dalhousie and Harvard-Smithsonian with contributions from Aaron van Donkelaar,
Challenge the future Corresponding author: Delft University of Technology Collocated OMI DOMINO and MODIS Aqua aerosol products.
DOAS workshop 2015, Brussels, July 2015
N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R
Randall Martin Dalhousie University
Randall Martin, Dalhousie and Harvard-Smithsonian
An Improved Retrieval of Tropospheric Nitrogen Dioxide from GOME
Evaluating Lower Tropospheric Ozone Simulations Using GOME/SCIAMACHY/OMI Observations of NO2 and HCHO Randall Martin Aaron Van Donkelaar Chris Sioris.
Constraining Emissions with Satellite Observations
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.
Retrieval of SO2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development and Validation Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne:
Chris Sioris Kelly Chance
Chris Sioris Kelly Chance
Retrieval of SO2 Vertical Columns from SCIAMACHY and OMI: Air Mass Factor Algorithm Development and Validation Chulkyu Lee, Aaron van Dokelaar, Gray O’Byrne:
MEASUREMENT OF TROPOSPHERIC COMPOSITION FROM SPACE IS DIFFICULT!
Randall Martin Mid-July
Presentation transcript:

Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee 1, Randall V. Martin 1,2, Aaron van Donkelaar 1, Gray O’Byrne 1, Nickolay Krotkov 3, Andreas Richter 4, Greg Huey 5, and John S. Holloway 6 1 Department of Physics and Atmospheric Science, Dalhousie Univ., Canada; 2 Harvard-Smithsonian Center for Astrophysics, USA, 3 Goddard Earth Sciences and Technology Center, Univ. of Maryland, USA, 4 Institute of Environmental Physics and Remote Sensing, Univ. of Bremen, Germany, 5 School of Earth and Atmospheric Sciences, Georgia Institute of Technology, USA, 6 NOAA Earth System Research Laboratory, USA We develop an improved retrieval of sulfur dioxide (SO 2 ) vertical columns from two satellite instruments (SCIAMACHY and OMI) that measure ultraviolet solar backscatter. For each SCIAMACHY and OMI observation, a local air mass factor (AMF) algorithm converts line-of-sight “slant” columns to vertical columns using altitude-dependent scattering weights computed with a radiative transfer model (LIDORT), weighted by relative vertical SO 2 profile (shape factor) determined locally with a global atmospheric chemistry model (GEOS-Chem). The scattering weights account for viewing geometry, surface albedo, cloud scattering, absorption by ozone, and scattering and absorption by aerosols. Mean SO 2 shape factors simulated with GEOS-Chem and used in the AMF calculation are highly consistent with airborne in situ measurements (INTEX-A and INTEX-B); differences would affect the retrieved SO 2 columns by 10%. The retrieved vertical columns are validated with coincident airborne in situ measurements (INTEX-A, INTEX-B, and a campaign over East China). The annual mean AMF errors are estimated to be 35-70% in polluted regions (e.g., East Asia and the eastern US) and less than 10% over clear ocean regions. The overall SO 2 error assessment is 45-80% for yearly averages over polluted regions. Seasonal mean SO 2 columns retrieved from SCIAMACHY and OMI for 2006 are significantly spatially correlated with those from GEOS-Chem, in particular over the United States (r = 0.85 for SCIAMACHY and 0.82 for OMI). A sensitivity study confirms the sensitivity of SCIAMACHY and OMI to anthropogenic SO 2 emissions. ABSTRACT Scattering weight IoIo IBIB Earth Surface Radiative Transfer Model (LIDORT)  (η) is temperature-dependent cross-section Calculate ω(η) as function of: solar and viewing zenith angle (θ s, θ v ) surface reflectivity pressure, aerosol clouds O 3 column: For individual scenes Shape factor SO 2 mixing ratio, C SO2 (η) Atmospheric Chemistry Model (GEOS-Chem) Local AMF Calculation eta ( η ) dt(η) Cloud Radiance Fraction < 0.2; SZA < 70 GC at OMI overpass within 10% of GC at SCIAMACHY overpass GEOS-Chem SO 2 changes by ×2 OMI SO 2 AMF changes < 30%  Local AMFs improve agreement of OMI and SCIAMACHY with in-situ  Validation of SO 2 vertical columns from SCIAMACHY and OMI with airborne in-situ measurements for INTEX-A and B (r = 0.9)  Validation of GEOS-Chem SO 2 shape factors with airborne in-situ measurements for INTEX-A and B (<10% change in AMF)  Large signal from anthropogenic emissions in retrieved SO 2 columns Evaluation of GEOS-Chem Simulation of Shape Factor Slant Columns with Reference Sector Method Seasonal Air Mass Factors for 2006 Seasonal Mean Vertical Columns for 2006  Calculated at nm  Cloud Radiance Fraction < 0.2; SZA < 70  SCIAMACHY AMF at nm within 25% Local AMF Increases Agreement with INTEX Aircraft Measurements Summary Sensitivity of Retrieved SO 2 to ΔEmissions Differences between modeled and measured shape factors would change AMF by <10% Scatter plots of tropospheric SO2 vertical columns versus those from in-situ measurements during INTEX-A (triangles) and INTEX-B (squares). The constant AMF refers to the OMI operational PBL product. The local AMF is developed here. Sensitivity of SO2 columns to errors in anthropogenic emissions. The top panel is the difference between GEOS-Chem simulations of SO2 columns using meteorology for 2006 with anthropogenic emissions for 2006 minus one with emissions for The bottom panel is the difference between OMI SO2 columns for 2006 retrieved using SO2 shape factors from the GEOS-Chem simulations with anthropogenic SO2 emissions for either 2006 or Funding: NSERC and NASA