In Situ and Remote Sensing Characterization of Spectral Absorption by Black Carbon and other Aerosols J. Vanderlei Martins, Paulo Artaxo, Yoram Kaufman,

Slides:



Advertisements
Similar presentations
Characterisation of Aerosols over Indo- Gangetic Basin during Winter Season By Hiren Jethva Ph.D. Student Centre for Atmospheric & Oceanic Sciences Indian.
Advertisements

Atmospheric Correction Algorithm for the GOCI Jae Hyun Ahn* Joo-Hyung Ryu* Young Jae Park* Yu-Hwan Ahn* Im Sang Oh** Korea Ocean Research & Development.
Polarization measurements for CLARREO
ENVIRONMENTAL INFORMATICS GEOINFORMATION PRODUCTS B ROCKMANN C ONSULT MTR * ESTEC* VRAME (Verticaly Resolved Aerosol Model for Europe from.
Aerosol and climate Chul Eddy Chung ( 정 철 ) GIST, Korea.
GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.
A Dictionary of Aerosol Remote Sensing Terms Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Short.
Atmospheric effect in the solar spectrum
Retrieval of smoke aerosol loading from remote sensing data Sean Raffuse and Rudolf Husar Center for Air Pollution Impact and Trends Analysis Washington.
The EvK2 Pyramid and the AERONET network “Atmospheric Brown Cloud" Characterization via Sunphotometer Observations G.P. Gobbi, F. Barnaba, and F. Angelini.
Quantitative Interpretation of Satellite and Surface Measurements of Aerosols over North America Aaron van Donkelaar M.Sc. Defense December, 2005.
Xuan Wang and Colette L. Heald 7th International GEOS-Chem User’s Meeting, May 5, 2015 This work is funded by U.S. EPA Simulating Brown Carbon and its.
Constraining aerosol sources using MODIS backscattered radiances Easan Drury - G2
Menghua Wang NOAA/NESDIS/ORA E/RA3, Room 102, 5200 Auth Rd.
Presented At AMS Meeting, Long Beach, CA, 2003 Aerosol Phase Function And Size Distributions From Polar Nephelometer Measurements During The SEAS Experiment.
The Role of Aerosols in Climate Change Eleanor J. Highwood Department of Meteorology, With thanks to all the IPCC scientists, Keith Shine (Reading) and.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
Satellite Remote Sensing of Surface Air Quality
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
(#694) Monitoring the Hawaii Volcano Plume From Satellite By John Porter School of Ocean Earth Science and Technology, University of Hawaii, Honolulu,
VRAME: Vertically Resolved Aerosol Model for Europe from a Synergy of EARLINET and AERONET data Elina Giannakaki, Ina Mattis, Detlef Müller, Olaf Krüger.
Atmospheric Correction Algorithms for Remote Sensing of Open and Coastal Waters Zia Ahmad Ocean Biology Processing Group (OBPG) NASA- Goddard Space Flight.

SeaDAS Training ~ NASA Ocean Biology Processing Group 1 Level-2 ocean color data processing basics NASA Ocean Biology Processing Group Goddard Space Flight.
Characterization of Aerosol Physical, Optical and Chemical Properties During the Big Bend Regional Aerosol and Visibility Observational Study (BRAVO) Jenny.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
Determination of the optical thickness and effective radius from reflected solar radiation measurements David Painemal MPO531.
CHARACTERIZATION OF AEROSOLS BASED ON THE SIMULTANEOUS MEASUREMENTS M. Nakata, T. Yokomae, T. Fujito, I. Sano & Sonoyo Mukai Kinki University, Higashi-Osaka,
Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.
An Introduction to Using Spectral Information in Aerosol Remote Sensing Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Robert C. Levy NASA.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Ocean Color Radiometer Measurements of Long Island Sound Coastal Observational platform (LISCO): Comparisons with Satellite Data & Assessments of Uncertainties.
Introduction Invisible clouds in this study mean super-thin clouds which cannot be detected by MODIS but are classified as clouds by CALIPSO. These sub-visual.
The Role of Aerosols in Cloud Growth, Suppression, and Precipitation: Yoram Kaufman and his Contributions  Aerosol optical & microphysical properties.
MODIS Retrievals for the Amazon Rainforest Dan Sauceda.
1 of 26 Characterization of Atmospheric Aerosols using Integrated Multi-Sensor Earth Observations Presented by Ratish Menon (Roll Number ) PhD.
GE0-CAPE Workshop University of North Carolina-Chapel Hill August 2008 Aerosols: What is measurable and by what remote sensing technique? Omar Torres.
Optical properties Satellite observation ? T,H 2 O… From dust microphysical properties to dust hyperspectral infrared remote sensing Clémence Pierangelo.
Measuring UV aerosol absorption. Why is aerosol UV absorption important ? Change in boundary layer ozone mixing ratios as a result of direct aerosol forcing.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Pawan Gupta Satellite.
Characterization of Aerosols using Airborne Lidar, MODIS, and GOCART Data during the TRACE-P (2001) Mission Rich Ferrare 1, Ed Browell 1, Syed Ismail 1,
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
Numerical simulations of optical properties of nonspherical dust aerosols using the T-matrix method Hyung-Jin Choi School.
Timothy Logan University of North Dakota Department of Atmospheric Science.
Synergy of MODIS Deep Blue and Operational Aerosol Products with MISR and SeaWiFS N. Christina Hsu and S.-C. Tsay, M. D. King, M.-J. Jeong NASA Goddard.
Introduction 1. Advantages and difficulties related to the use of optical data 2. Aerosol retrieval and comparison methodology 3. Results of the comparison.
Atmospheric Radiative Transfer PHYS 721 “The ocean sunglint in a dusty/polluted day” Picture by Yoram J. Kaufman
ESTIMATION OF SOLAR RADIATIVE IMPACT DUE TO BIOMASS BURNING OVER THE AFRICAN CONTINENT Y. Govaerts (1), G. Myhre (2), J. M. Haywood (3), T. K. Berntsen.
Ground-based infrared retrievals of atmospheric dust properties over Niamey, Niger A case study: dust storm event (7-10 March 2006)* ATMS 790 R- Graduate.
Electromagnetic Radiation: Interactions in the Atmosphere.
Validation strategy for aerosol retrievals of the future Lorraine Remer and J. Vanderlei Martins Dec
Aerosol Characterization Using the SeaWiFS Sensor and Surface Data E. M. Robinson and R. B. Husar Washington University, St. Louis, MO
Aerosol Radiative Forcing from combined MODIS and CERES measurements
Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,
New Aerosol Models for Ocean Color Retrievals Zia Ahmad NASA-Ocean Biology Processing Group (OBPG) MODIS Meeting May 18-20, 2011.
Page 1 © Crown copyright 2004 Aircraft observations of Biomass burning aerosol Ben Johnson, Simon Osborne & Jim Haywood AMMA SOP0 Meeting, Exeter, 15 th.
Observing Air Quality from Space Randall Martin, Aaron van Donkelaar, Lok Lamsal, Chulkyu Lee, Carolyn Verduzco Undergraduate Science Conference 25 September.
The Use of Spectral and Angular Information In Remote Sensing
Lorraine Remer, Yoram Kaufman, Didier Tanré Shana Mattoo, Richard Kleidman, Robert Levy Vanderlei Martins, Allen Chu, Charles Ichoku, Rong-Rong Li, Ilan.
number Typical aerosol size distribution area volume
Bluing of Aerosols near Clouds: Results from a Simple Model and MODIS Observations Alexander Marshak (GSFC) Tam á s V á rnai and Guoyong Wen (UMBC/GSFC)
Fourth TEMPO Science Team Meeting
Extinction measurements
Dust detection methods applied to MODIS and VIIRS
大气圈地球化学及其环境效益.
Atmospheric Optics - I.
Presentation transcript:

In Situ and Remote Sensing Characterization of Spectral Absorption by Black Carbon and other Aerosols J. Vanderlei Martins, Paulo Artaxo, Yoram Kaufman, Shana Mattoo, MODIS Aerosol group, AERONET, and University of Sao Paulo Air Pollution Group In situ Aerosol Absorption (absorption Efficency m2/g) Remote Sensing of Aerosol Absorption –Over land (will not be presented here) –Over the ocean sunglint

In Situ Measurements of Aerosol Absorption Simple strategy for Remote Sensing and in Situ: Particles Reflectance over bright surfaces Particles collected on filter’s surface Particles in suspension in the atmosphere Has already been used for a long time… But we have a new semi-empirical model and good calibration!!!

Types of Particles Saharan Dust Smoke Cluster Smoke Smoldering Phase Smoke Flaming Phase US Urban Pollution

BC Absorption Efficiency curve using Mie Theory abs. coef. (m2 g-1) volume distribution diameter (um) absorp. coef.volume distribution Estimated absorption coeficient for the BC standard using Mie theory Calculated  aBC = 6.8 m2/g

Semi-Empirical Calibration: Measured 6.8m 2 /g

Size Distributions - AERONET São Paulo México Santiago Fine Mode – Dp <2.5  m AVG mass density 0.10g/m 2 Coarse Mode < Dp < 10  m AVG mass density 0.34g/m 2 Sao Paulo – Aerosol Absorption Efficiency Small Absorbers: 1/ spectral dependence Coarse Fine

Resuspended Particles from Santiago del Chile: very large dust + urban pollution particles Aerosol Mass Absorption Efficiency

Derivation of the single scattering albedo of dust from MODIS spectral measurementsThe spectral single scattering albedo is 0.94 in the blue (0.47 µm), 0.97 in the green (0.55 µm), in the red (0.66 µm) and 1.00 for longer wavelengths. Kaufman et al.,GRL 2002

Dust Absorption Effect Saharan Dust US Urban Pollution Results can be combined with elemental composition from the same filter… There is capability to distinguish Dust from BC absorption Dust BC absorption

Dust Absorption Effect Saharan Dust US Urban Pollution Dust BC absorption

Pollution from developing countries is highly absorbing!!!

Biomass Burning

But Not Only Smoke and Dust Absorbs Light…

Biomass Burning aerosols from the Amazon – SMOCC 2002

Aerosol Absorption over sunglint Solar glint over Lago Maggiore, Italy, June 27, The haze is a regional, heavy pollution (optical thickness~1) in addition to dust from the Sahara [Gobbi et al., 2000]. Dust absorbs more in the blue than in the red part of the spectrum, giving the glint its golden color. A hypothetical spaceborne Instrument to Measure Aerosol Absorption using the Glint, IMAG, is using two planes of observation: one through the glint and one 40° off-glint. The arrow shows the direction of the spacecraft movement. The off glint aerosol measurements against the dark ocean are used to determine the aerosol scattering properties. The glint measurements, 1 minute apart, are used to derive the aerosol absorption over the bright glint. Accurate radiance measurements (taking into account the polarized light) Good agreement between Surface Spectral Model and Measurements: Empirical calibration/adjustments in aerosol clean cases – Same for AEROSAT High Accuracy retrievals of aerosol Scattering properties: AOT, size and Refractive index.

Aerosol absorption over sunglint– Kaufman et al GRL Use the spectral measurements over the glint to derive the aerosol absorption optical thickness associated with the presence of black carbon. Correlated with Earth Radiation Budget measurements these measurements can be used to determine the black carbon aerosol forcing of climate. Aerosol effect on sun-glint reflectance is weakly dependent on aerosol effective radius and refractive index but strongly dependent on the absorption and scattering optical thickness Varying effective radius and refractive index Varying Absorption Optical Thickness

Aerosol Absorption over sunglint MODIS: Spectral measurements over the Sunglint AERONET: High Accuracy retrievals of aerosol Scattering properties: AOT, size and Refractive index. MODIS + AERONET: 1 – Invert Downward radiances from AERONET using MODIS LUT 2 – Adjust LUT effective Wind speed based on 2.1  m channel 3 – Use selected models (size, type, and AOT) to fit MODIS upward radiances to LUT over the glint

 o retrievals with MODIS over sunglint at COVE Wavelength (um) oo oo

 o retrievals with MODIS over sunglint at Male

Conclusions In situ spectral reflectance in filters provides a simple and accurate measurement of absorption efficiency (m 2 /g) and abs. coefficient (m -1 ) Remote sensing of Aerosol Absorption is possible over the ocean sunglint and present good accuracy and sensitivity