The Use of Optical Methods to Study Aerosols in the Paso del Norte Region Rosa M. Fitzgerald, Javier Polanco, Angel Esparza, Richard Medina Physics Department,

Slides:



Advertisements
Similar presentations
Using a Radiative Transfer Model in Conjunction with UV-MFRSR Irradiance Data for Studying Aerosols in El Paso-Juarez Airshed by Richard Medina Calderón.
Advertisements

Aerosol and climate Chul Eddy Chung ( 정 철 ) GIST, Korea.
Wavelength dependence of the single scattering albedo Single scattering albedo (SSA) values at 450(blue), 550(green) and 700(red) nm The SSA values during.
A Dictionary of Aerosol Remote Sensing Terms Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Short.
METO 621 CHEM Lesson 7. Albedo 200 – 400 nm Solar Backscatter Ultraviolet (SBUV) The previous slide shows the albedo of the earth viewed from the nadir.
Comparison of optical properties retrieved using actinic flux and irradiance measured in Houston, TX during Discover-AQ Corr, C.A. 1, Lefer, B. 2, Flynn,
Aerosol optical properties for fall time urban conditions Kerwyn Texeira and Lan Gao University of Nevada, Reno Desert Research Institute ATMS.
1 MET 60 Chapter 4: Radiation & Radiative Transfer.
Atmospheric scatterers
Extracting Atmospheric and Surface Information from AVIRIS Spectra Vijay Natraj, Daniel Feldman, Xun Jiang, Jack Margolis and Yuk Yung California Institute.
Ben Kravitz Tuesday, November 10, 2009 AERONET. What is AERONET? AErosol RObotic NETwork Worldwide collection of sun photometers.
A 21 F A 21 F Parameterization of Aerosol and Cirrus Cloud Effects on Reflected Sunlight Spectra Measured From Space: Application of the.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
METO 621 Lesson 27. Albedo 200 – 400 nm Solar Backscatter Ultraviolet (SBUV) The previous slide shows the albedo of the earth viewed from the nadir.
Retrieval of thermal infrared cooling rates from EOS instruments Daniel Feldman Thursday IR meeting January 13, 2005.
Single-Scattering Stuff + petty chap 12 intro April 27-29, 2015.
Lidar remote sensing for the characterization of the atmospheric aerosol on local and large spatial scale.
Correct atmospheric optics modelling: Theory and Experiment Irina Melnikova Observatory of Environmental Safety Resource Center, Research Park St.Petersburg.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Radiation: WHY CARE ??? the ultimate energy source, driver for the general circulation usefully applied in remote sensing (more and more)
Assessing Air Quality Using USDA Shadow-band Radiometers James Slusser USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado.
Rayleigh and Mie Scattering
Investigation of Decadal Changes in Aerosol and Asthma Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Space Flight Center.
Pat Arnott, ATMS 749 Atmospheric Radiation Transfer CH4: Reflection and Refraction in a Homogenous Medium.
Organic aerosol and its climate impact Min Zhong and Myoseon Jang Sept. 24, 2013 Department of Environmental Engineering Sciences University of Florida.
Now That I Know That… What Do I Do? (Analyzing your Microtop Solar Radiometry Data)

EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.
The basics - 0 Definitions The Radiative Transfer Equation (RTE)
Attenuation by absorption and scattering
Characterization of Aerosol Physical, Optical and Chemical Properties During the Big Bend Regional Aerosol and Visibility Observational Study (BRAVO) Jenny.
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.
CHARACTERIZATION OF AEROSOLS BASED ON THE SIMULTANEOUS MEASUREMENTS M. Nakata, T. Yokomae, T. Fujito, I. Sano & Sonoyo Mukai Kinki University, Higashi-Osaka,
Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Space Flight Center (GSFC) NASA Goddard Institute for Space Studies (GISS)
Observations of Formaldehyde and Related Atmospheric Species Using Multi-Axis Spectroscopy Christopher P. Beekman and Dr. Heather C. Allen Department of.
Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Space Flight Center (GSFC) NASA Goddard Institute for Space Studies (GISS)
 Introduction  Surface Albedo  Albedo on different surfaces  Seasonal change in albedo  Aerosol radiative forcing  Spectrometer (measure the surface.
Dr. North Larsen, Lockheed Martin IS&S Dr. Knut Stamnes, Stevens Institute Technology Use of Shadows to Retrieve Water Vapor in Hazy Atmospheres Dr. North.
In Situ and Remote Sensing Characterization of Spectral Absorption by Black Carbon and other Aerosols J. Vanderlei Martins, Paulo Artaxo, Yoram Kaufman,
Wu Sponsors: National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC) Goddard Institute for Space Studies (GISS) New York.
Analysis of Aerosol Particle Concentration Using MFRSR Goddard Institute For Space Studies The City College Of New York, Department of Electrical Engineering.
1 Clear-Sky irradiance observations and models to analyze aerosol characteristic over Semi-arid Reno, NV. By: Addison Liming Jayne Boehmler Marcela Loria-Salazar.
Measuring UV aerosol absorption. Why is aerosol UV absorption important ? Change in boundary layer ozone mixing ratios as a result of direct aerosol forcing.
Measurements and Modeling of Solar Ultraviolet Radiation and Photolysis Rates during SCOS97 Laurent Vuilleumier Environmental Energy Technologies Division.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
1 NOAA-UPRM COOP Program in Atmospheric Sciences and Meteorology, Department of Physics, University of Puerto Rico at Mayagüez, Mayagüez, PR Yaítza.
1 Ground-based Remote Sensing of Aerosols Pawan K Bhartia Laboratory for Atmospheres NASA Goddard Space Flight Center Maryland, USA.
1 PHY Lecture 5 Interaction of solar radiation and the atmosphere.
Fog- and cloud-induced aerosol modification observed by the Aerosol Robotic Network (AERONET) Thomas F. Eck (Code 618 NASA GSFC) and Brent N. Holben (Code.
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.
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.
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.
Rong-Ming Hu and Randall Martin Inspiring Minds. Retrieval of Aerosol Single Scattering Albedo (SSA)  Determined with radiative transfer calculation.
Electromagnetic Radiation: Interactions in the Atmosphere.
AEROCOM AODs are systematically smaller than MODIS, with slightly larger/smaller differences in winter/summer. Aerosol optical properties are difficult.
Radar Bands Letters chosen during WWII. X-band so-named b/c it was kept secret during the war.
Aerosol Pattern over Southern North America Tropospheric Aerosols: Science and Decisions in an International Community A NARSTO Technical Symposium on.
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.
UNIVERSITY OF BASILICATA CNR-IMAA (Consiglio Nazionale delle Ricerche Istituto di Metodologie per l’Analisi Ambientale) Tito Scalo (PZ) Analysis and interpretation.
Micro-structural size properties of Saturn’s rings determined from ultraviolet measurements made by the Cassini Ultraviolet Imaging Spectrograph Todd Bradley.
SOIR Data Workshop SOIR science status A.C. Vandaele, A. Mahieux, S. Robert, R. Drummond, V. Wilquet, E. Neefs, B. Ristic, S. Berkenbosch, R. Clairquin.
Detecting Smoke from Forest Fires Using USDA Shadow-band Radiometers James Slusser USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory.
Fourth TEMPO Science Team Meeting
Urban Influences on Climate
DETERMINATION OF PHOTOSYNTHETICALLY ACTIVE RADIATION
Climate and Seasons.
Urban Influences on Climate
CH4: Reflection and Refraction in a Homogenous Medium.
Presentation transcript:

The Use of Optical Methods to Study Aerosols in the Paso del Norte Region Rosa M. Fitzgerald, Javier Polanco, Angel Esparza, Richard Medina Physics Department, UTEP El Paso, TX

Abstract The aerosol size distribution and the single scattering albedo are retrieved using multi-filter rotating shadow-band radiometers in conjunction with robust models. (I) An inverse reconstruction model for aerosol size distribution is used and applied to the Paso del Norte Region. The wavelengths used are in the visible and UV ranges. Results for the columnar aerosol size distribution for the Paso del Norte Airshed for two different pollution scenarios and at two different seasons are presented. In addition, HYSPLIT backward trajectories were used to identify pollution sources. (I) An inverse reconstruction model for aerosol size distribution is used and applied to the Paso del Norte Region. The wavelengths used are in the visible and UV ranges. Results for the columnar aerosol size distribution for the Paso del Norte Airshed for two different pollution scenarios and at two different seasons are presented. In addition, HYSPLIT backward trajectories were used to identify pollution sources. (II) A methodology to retrieve Single Scattering Albedo (SSA) values employing the ratio of Direct to Diffuse Irradiances (DDR) is used and applied to the Paso del Norte region. The wavelengths used are 332 nm and 368 nm. The retrieved SSA values are presented. Furthermore, the variation of SSA values during the day is also analyzed for the Paso del Norte and linked to the flow of air masses into the region. (II) A methodology to retrieve Single Scattering Albedo (SSA) values employing the ratio of Direct to Diffuse Irradiances (DDR) is used and applied to the Paso del Norte region. The wavelengths used are 332 nm and 368 nm. The retrieved SSA values are presented. Furthermore, the variation of SSA values during the day is also analyzed for the Paso del Norte and linked to the flow of air masses into the region. These methodologies can be applied in any geographical location, and are particularly useful for cities that experience episodes of high PM concentrations.

Multi-filter Rotating Shadow Band Radiometers (MFRSR) Laser Particle Counters CI-150t

(I) Inverse Modeling to Obtain the Aerosol Size Distribution Angel E. Esparza, Rosa M. Fitzgerald, Thomas E. Gill and Javier Polanco, ‘Use of Light Extinction Method and Inverse Modeling to Study Aerosols in the Paso del Norte Airshed’, Atmospheric Environment, 45, , 2011.

where  is the aerosol optical depth, Cext is extinction cross-section, n is the height dependant aerosol number density in the radius range r to r + dr, m is the complex refractive index of the aerosols and is the wavelength of the incident light. The following general equation needs to be solved :

The regularized solution is obtained by solving the following equation : where f is the size distribution array, A is the kernel matrix,  is the lagrange multiplier, H is the smoothing matrix and g is the optical depth data.

Results

for winter  = 2.986; for summer  = 0.758

Conclusions (I) The inverse reconstruction model (EPIRM) was successfully applied to the Paso del Norte Airshed. This model has an advantage over other techniques in that it can be used in the study of aerosols in situ. The methodology may be used in any area of the country, but is especially relevant to southwestern U.S cities such as El Paso, which experiences severe air pollution from fugitive dust source contaminants. The inverse reconstruction model (EPIRM) was successfully applied to the Paso del Norte Airshed. This model has an advantage over other techniques in that it can be used in the study of aerosols in situ. The methodology may be used in any area of the country, but is especially relevant to southwestern U.S cities such as El Paso, which experiences severe air pollution from fugitive dust source contaminants. In this work it was observed that for the clean day scenario the summer case exhibited a greater concentration of smaller size particles than the winter case. This is attributable in part to the different regions from which the air parcels originated. Moreover, the air parcels moved more slowly in the summer case than in the winter case. For the summer day the air parcels passed across the more industrialized region of the Paso del Norte Airshed, and this was interpreted as the cause of a higher concentration of small particles. In this work it was observed that for the clean day scenario the summer case exhibited a greater concentration of smaller size particles than the winter case. This is attributable in part to the different regions from which the air parcels originated. Moreover, the air parcels moved more slowly in the summer case than in the winter case. For the summer day the air parcels passed across the more industrialized region of the Paso del Norte Airshed, and this was interpreted as the cause of a higher concentration of small particles. It was also observed that for the polluted day scenario the winter case was ascribed to the predominance of smaller size particles due primarily to influences of the El Paso-Juarez urban region, whereas the summer observed the presence of more mineral dust as the air parcels passed across the Chihuahuan desert, a trajectory associated with dust events. It was also observed that for the polluted day scenario the winter case was ascribed to the predominance of smaller size particles due primarily to influences of the El Paso-Juarez urban region, whereas the summer observed the presence of more mineral dust as the air parcels passed across the Chihuahuan desert, a trajectory associated with dust events. In all four cases the correlation factors between the EPIRM model and the CI-150t laser particle instrument were above In all four cases the correlation factors between the EPIRM model and the CI-150t laser particle instrument were above The polymodality observed in the season inter-comparison graphs is expected for an interface and complex region, such as the Paso del Norte region. The polymodality observed in the season inter-comparison graphs is expected for an interface and complex region, such as the Paso del Norte region.

(II) Retrieval of the Single Scattering Albedo Richard Medina, Rosa M. Fitzgerald and Qilong Min, ‘Retrieval of the Single Scattering Albedo in the El Paso-Juarez Airshed Using the TUV Model and a UV-MFRSR Radiometer’, Atmospheric Environment, vol. 46, pp , 2012.

PM2.5 Concentrations

Radiative Transfer Equation- TUV model is the source function given by: is the source function given by: is the diffuse radiance, is the diffuse radiance, the optical depth, the optical depth, the cosine of the zenith angle, the cosine of the zenith angle, the single scattering albedo, the single scattering albedo, incident solar flux, and incident solar flux, and is the axially-symmetric phase function defining the light incident at which scattered in the direction is the axially-symmetric phase function defining the light incident at which scattered in the direction

Results

Retrieval of the Single Scattering Albedo SSA=  s /(  s +  a ), where  s is the aerosol scattering coefficient and  a is the aerosol absorption coefficient.

Evolution of The Single Scattering Albedo throughout the day

Sensitivity study of the Asymmetry Parameter The asymmetry parameter, g, represents the phase function, it is +1: forward direction and -1: backward direction

Conclusions (II) The retrieved values of SSA for the low polluted day (0.66 – 0.81 at 332 nm and 0.61 – 0.8 at 368 nm) and for the polluted day (0.56 – 0.7 at 332 nm and 0.53 – 0.66 at 368 nm) were successfully obtained for the El Paso-Juarez Airshed using the DDR irradiance method and are in agreement with previous studies. The retrieved values of SSA for the low polluted day (0.66 – 0.81 at 332 nm and 0.61 – 0.8 at 368 nm) and for the polluted day (0.56 – 0.7 at 332 nm and 0.53 – 0.66 at 368 nm) were successfully obtained for the El Paso-Juarez Airshed using the DDR irradiance method and are in agreement with previous studies. In addition, the presence of both moderately absorbing and absorptive particles was observed in the Airshed, which is symptomatic of a complex interface region such as the El Paso-Juarez Airshed, located between an urban and a rural site and surrounded by the Chihuahuan desert. In addition, the presence of both moderately absorbing and absorptive particles was observed in the Airshed, which is symptomatic of a complex interface region such as the El Paso-Juarez Airshed, located between an urban and a rural site and surrounded by the Chihuahuan desert. An increase in the concentration of absorptive aerosols during the late morning and middle of the day is observed in the atmosphere, especially for the polluted day case, as shown in the graphs of the variation of the SSA values throughout the day, which correlated well with the analysis of the air masses flow in the same day. An increase in the concentration of absorptive aerosols during the late morning and middle of the day is observed in the atmosphere, especially for the polluted day case, as shown in the graphs of the variation of the SSA values throughout the day, which correlated well with the analysis of the air masses flow in the same day. It was also observed in the uncertainty analysis that changes of 5% in g produced a variation of only 1% in the retrieved SSA values, denoting that g is a secondary effect in the retrieval of SSA. It was found that the TUV model can be used as a diagnostic model to interpret UV-MFRSR irradiance data and successfully to retrieve the single scattering albedo in this region. It was also observed in the uncertainty analysis that changes of 5% in g produced a variation of only 1% in the retrieved SSA values, denoting that g is a secondary effect in the retrieval of SSA. It was found that the TUV model can be used as a diagnostic model to interpret UV-MFRSR irradiance data and successfully to retrieve the single scattering albedo in this region.