MODIS OMI CALIPSO AATS AOD above Lake Tahoe F (  z 2 ) AOD(  z 2 ) F (  z 1 ) AOD(  z 1 ) CAR circles AATS-HiGEAR comparison (below left) includes.

Slides:



Advertisements
Similar presentations
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Advertisements

Direct Radiative Effect of aerosols over clouds and clear skies determined using CALIPSO and the A-Train Robert Wood with Duli Chand, Tad Anderson, Bob.
Space Borne and Ground Based Lidar NASA ARSET- EPA Training ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied.
Direct aerosol radiative forcing based on combined A-Train observations – challenges in deriving all-sky estimates Jens Redemann, Y. Shinozuka, M.Kacenelenbogen,
Aircraft spiral on July 20, 2011 at 14 UTC Validation of GOES-R ABI Surface PM2.5 Concentrations using AIRNOW and Aircraft Data Shobha Kondragunta (NOAA),
Assessing Air Quality Using USDA Shadow-band Radiometers James Slusser USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado.
Lidar Intercomparion Study with Airborne Aerosol Optical Measurements near Tokyo on April 23, 2001 Toshiyuki Murayama Tokyo University of Mercantile Marine,
NASA DC-8 Platform Update University of North Dakota and NASA Airborne Science
Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.
OVERVIEW OF ARCTAS AND SCIENTIFIC OBJECTIVES Daniel J. Jacob, Harvard University.
Mainly sampled Asian outflow in the Alaska phase local forest fire smoke in the Canada phase We expect these phases to represent the two extremes among.
A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
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.
Aerosol Optical Depths from Airborne Sunphotometry in INTEX-B/MILAGRO as a Validation Tool for the Ozone Monitoring Instrument (OMI) on Aura J. Livingston.
The combined use of MODIS, CALIPSO and OMI level 2 aerosol products for calculating direct aerosol radiative effects Jens Redemann, M. Vaughan, Y. Shinozuka,
ACKNOWLEDGEMENTS: We gratefully acknowledge funding from the NOAA Climate Program, and thank the Dr. Brent Holben for establishing and maintaining the.
Advances in Applying Satellite Remote Sensing to the AQHI Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Akhila Padmanabhan, Dalhousie.
Studies of Emissions & Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC 4 RS) Brian Toon Department of Atmospheric and Oceanic.
Applications of Satellite Remote Sensing to Estimate Global Ambient Fine Particulate Matter Concentrations Randall Martin, Dalhousie and Harvard-Smithsonian.
Aerosol Optical Depth during the Northern CA Fires of 2008 In situ aerosol light scattering and absorption measurements in Reno Nevada, 2008, indicated.
T2 T1 (biomass burning aerosol) (dust) Findings (1) OMI and AATS AOD retrievals have been analyzed for four spatially and temporally near-coincident events.
ARCTAS preliminary report to HQ ESD visitors at Ames Fri 12 Sep 2008 Phil Russell, NASA Ames with contributions from many, many leaders, experimenters,
Physical, Chemical and Optical Properties of Aerosol: Airborne Observations for MIRAGE, INTEX-B, IMPEX Hawaii Group for Environmental Aerosol Research.
Jetstream 31 (J31) at Mid-Campaign in INTEX-B/MILAGRO: Science Goals, Payload, Example Results, Assessment Phil Russell, Jens Redemann, Brian Cairns, Charles.
Figure 1. (left) Direct comparison of CCN concentration adjusted to 0.4% supersaturation and 499 nm AOD, both observed from ≤1 km altitudes during ARCTAS.
Direct aerosol radiative forcing based on combined A-Train observations and comparisons to IPCC-2007 results Jens Redemann, Y. Shinozuka, M. Vaughan, P.
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.
LASE Measurements During IHOP Edward V. Browell, Syed Ismail, Richard A. Ferrare, Susan A Kooi, Anthony Notari, and Carolyn F. Butler NASA Langley Research.
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,
UV Aerosol Product Status and Outlook Omar Torres and Changwoo Ahn OMI Science Team Meeting Outline -Status -Product Assessment OMI-MODIS Comparison OMI-Aeronet.
ARCTAS-CA June 2008 Air Quality Simulations. July 1, 2009 ARCTAS-CA Data Analysis Workshop 2 Collaborators Ajith Kaduwela, Chenxia Cai, Dazhong Yin, Jin.
NASA P-3B in ARCTAS: Science Goals, Payload and Flight Plans Platform Scientist : Phil Russell Instrument PIs: John Barrick, Anthony Bucholtz, Antony Clarke,
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.
Livingston et al. EGU General Assembly April 2007 Comparison of airborne sunphotometer and satellite sensor retrievals of aerosol optical depth during.
4STAR: Spectrometer for Sky-Scanning, Sun- Tracking Atmospheric Research Results from Test-flight Series PNNLNASA AmesNASA GSFC B. SchmidS. DunaganS. Sinyuk.
Redemann, ICARTT workshop, Durham, NH, Aug.9-12, 2005 Airborne measurements of spectral direct aerosol radiative forcing - a new aerosol gradient method.
Breakout Group on Aerosol Optical Properties & Radiative Effects of MILAGRO Science Meeting, Oct 2006, Boulder, CO Chair: Phil Russell Co-Chair:
Timothy Logan University of North Dakota Department of Atmospheric Science.
Summary of ARCTAS P-3 Data Flight #21 Flown 7 Jul 2008 Phil Russell, NASA Ames with contributions from many, many experimenters, modelers, forecasters,
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.
Airborne sunphotometer (AATS-14) measurements in ARCTAS - first insights into their combined use with satellite observations to study Arctic aerosol radiative.
Aerosol Optical Depth Measurements by Airborne Sun Photometer in SOLVE II: Comparisons to SAGE III, POAM III and Airborne Spectrometer Measurements* P.
NASA’s Coastal and Ocean Airborne Science Testbed (COAST) L. Guild 1 *, J. Dungan 1, M. Edwards 1, P. Russell 1, S. Hooker 2, J. Myers 3, J. Morrow 4,
For INTEX-B/MILAGRO the J31 was equipped to measure solar energy and how that energy is affected by atmospheric constituents and Earth's surfaces. Because.
With contributions from: Jens Redemann, John Livingston, Yohei Shinozuka, Tony Clarke, Eike Bierwirth, Sebastian Schmidt, Ralph Kahn, Charles Gatebe, Alexei.
Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,
Direct aerosol radiative effects based on combined A-Train observations Jens Redemann, Y. Shinozuka, J. Livingston, M. Vaughan, P. Russell, M.Kacenelenbogen,
Aerosol optical properties measured from aircraft, satellites and the ground during ARCTAS - their relationship to aerosol chemistry and smoke type Yohei.
Airborne Sunphotometry and Closure Studies during the SAFARI-2000 Dry Season Campaign B. Schmid BAER/NASA Ames Research Center, Moffett Field, CA, USA.
Airborne Sunphotometry and Closure Studies in the SAFARI-2000 Dry Season Campaign B. Schmid 1, P.B. Russell 2, P.Pilewskie 2, J. Redemann 1, P.V. Hobbs.
With contributions from: Jens Redemann, John Livingston, Yohei Shinozuka, Steve Howell, Cam McNaughton, Eike Bierwirth, Sebastian Schmidt, Ralph Kahn,
Phil Russell 1, John Livingston 2, Beat Schmid 3, Jens Redemann 4, Stephanie Ramirez 4, Qin Zhang 4 and many other contributors 10 Years of Studies Comparing.
Jetstream-31 (J31) in ITCT-INTEX (Intercontinental Transport and Chemical Transformation- Intercontinental Chemical Transport Experiment) J31 GOALS in.
Page 1 © Crown copyright 2004 Aircraft observations of Biomass burning aerosol Ben Johnson, Simon Osborne & Jim Haywood AMMA SOP0 Meeting, Exeter, 15 th.
Horizontal variability of aerosol optical properties observed during the ARCTAS airborne experiment Yohei Shinozuka 1*, Jens Redemann 1, Phil Russell 2,
Challenges in remote sensing of CCN concentration An assessment based on airborne observations of AOD, CCN, chemical composition, size distribution, light.
INSIGHTS FROM CAR AIRBORNE MEASUREMENTS DURING INTEX-B (Mexico) FOR SATELLITE VALIDATION C. K. Gatebe, 1,2 Michael D. King, 2 G.T. Arnold, 1,3 O. Dubovik,
Global Air Pollution Inferred from Satellite Remote Sensing Randall Martin, Dalhousie and Harvard-Smithsonian with contributions from Aaron van Donkelaar,
Assessment of Upper atmospheric plume models using Calipso Satellites and Environmental Assessment and Forecasting Chowdhury Nazmi, Yonghua Wu, Barry Gross,
J. Redemann 1, B. Schmid 1, J.A. Eilers 2, R. Kahn 3, R.C. Levy 4,5, P.B. Russell 2, J.M. Livingston 6, P.V. Hobbs 7, W.L. Smith Jr. 8, B.N. Holben 4 1.
The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt,
Aerosol optical properties measured from aircraft, satellites and the ground during ARCTAS - their relationship to CCN, aerosol chemistry and smoke type.
Studying the radiative environment of individual biomass burning fire plumes using multi-platform observations: an example ARCTAS case study on June 30,
ARCTAS in relation to ISDAC Phil Russell, NASA Ames With B-200 contributions from : Rich Ferrare & Chris Hostetler ISDAC Science Team Meeting Ottawa, Canada.
What Are the Implications of Optical Closure Using Measurements from the Two Column Aerosol Project? J.D. Fast 1, L.K. Berg 1, E. Kassianov 1, D. Chand.
Jens Redemann 1, B. Schmid 1, J. M. Livingston 2, P. B. Russell 3, J. A. Eilers 3, P. V. Hobbs 4, R. Kahn 5, W. L. Smith Jr. 6, B. N. Holben 7, C.K. Rutledge.
N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R
An overview of J-31 measurements during the INTEX-B/MILAGRO campaign
Using dynamic aerosol optical properties from a chemical transport model (CTM) to retrieve aerosol optical depths from MODIS reflectances over land Fall.
Presentation transcript:

MODIS OMI CALIPSO AATS AOD above Lake Tahoe F (  z 2 ) AOD(  z 2 ) F (  z 1 ) AOD(  z 1 ) CAR circles AATS-HiGEAR comparison (below left) includes 53 vertical profiles with altitude change >1 km. 66% of HiGEAR layer AODs were within ±(10%+0.02) of AATS layer AOD. Exceptions are from layers with strong horizontal structure (e.g., smoke plumes). AATS-HiGEAR-AERONET comparisons include 5 profiles over AERONET sites (Barrow & Saturna Island below right; Pearl above; Monterey, middle column; Fort McMurray, right column). AATS and AERONET AODs had RMS difference (76%<0.02, 61%<0.015). June 22, :58 UT over Big Sur California Moss Landing Power Plant Monterey Airport Red – within 1 hr Yellow – within 2 hrs Green – within 3 hrs Blue – > 3 hrs MISR image P-3 time from MISR overpass Ship YUEHE Big Sur Fire Moffett Field Abstract The 14-channel NASA Ames Airborne Tracking Sunphotometer (AATS-14) operated in a suite of remote and in-situ sensors aboard the NASA P-3 aircraft during the 2008 Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) field campaign. Included were 7 Spring flights in the Arctic and 13 Summer flights (3 in California and 10 in Canada), each coordinated with one or more satellite overpasses, other aircraft (e.g., NASA B-200 and DC-8, NOAA P-3), and/or ground- based Aerosol Robotic Network (AERONET) measurements. This presentation gives an overview of AATS-14 aerosol optical depth (AOD) spectra and related parameters such as Angstrom exponent and fine mode fraction. We quantify the mutual consistency of AODs calculated from measurements by AATS-14, by the HiGEAR (University of Hawaii Group for Environmental Aerosol Research) suite of P-3 in-situ optical instruments, and by AERONET. The vertical integral of the HiGEAR in-situ scattering and absorption coefficients recorded during spiral profiles typically falls within ±(10% +0.02) of the AATS-14 AOD values interpolated to 450, 550 and 700 nm. Corresponding Angstrom exponents typically differ by ~0.1 if AOD>0.1. AATS-14 AODs adjusted for the contribution of the layer below the aircraft generally agree with the full column AERONET values to within the combined uncertainties. Example results from multiplatform comparisons are also shown. These results provide context for the more detailed AATS-14 results in other presentations, e.g., by Redemann et al. (focusing on the multi-platform, multi-sensor smoke case of 30 Jun 2008), Livingston et al. (comparisons to MODIS, MISR, OMI, POLDER, CALIPSO, and airborne lidar), and Shinozuka et al. (relationship to cloud condensation nuclei and other measurements). Overview Of Haze And Smoke Measurements in Northern High Latitudes And California During ARCTAS Using The NASA Ames Airborne Sunphotometer And Associated In Situ And Remote Sensors P. Russell 1, J. Redemann 2, J. Livingston 3, Y. Shinozuka 1,4, Q. Zhang 2, S. Ramachandran 5, R. Johnson 1, A. Clarke 6, S. Howell 6, C. McNaughton 6, B. Holben 7, N. O'Neill 8, B. Mcarthur 9, E. Reid 10, E. Hyer 10, R. Ferrare 11, C. Hostetler 11, E. Eloranta 13, R. Kahn 7, L. Remer 7, K. S. Schmidt 12 1 NASA Ames Research Center, Moffett Field, CA, 2 B ay Area Environmental Research Institute, Sonoma, CA, 3 SRI International, Menlo Park, CA, 4 NASA Postdoctoral Program, ORAU, Oak Ridge, TN, USA. 5 Physical Research Laboratory, Ahmedabad, INDIA, 6 SOEST, University of Hawaii, Honolulu, HI, USA, 7 NASA Goddard Space Flight Center, Greenbelt, MD, USA, 8 CARTEL, Universite de Sherbrooke, Sherbrooke, QC, Canada, 9 Environment Canada, Downsview, ON, Canada, 10 Naval Research Laboratory, Monterey, CA, USA, 11 NASA Langley Research Center, Hampton, VA, USA, 12 LASP, University of Colorado, Boulder, CO, USA, 13 SSEC, University of Wisconsin, WI, USA. AATS/P-3B Flight Tracks During 2008 Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) Deployments Summer—Boreal Forest Flt No. DateTrackComments 41 Apr Yellowknife-FairbanksCO & aerosol plume as predicted by models. Spiral & legs under CALIPSO, OMI track. 56 Apr Fairbanks-Barrow- Fairbanks Spiral & legs under B-200 & CALIPSO, OMI. Square spiral & radiation legs. Albedo, BRDF at Elson Lagoon. 68 Apr Fairbanks-ThuleDC-8 comparison in stairsteps. Spiral over Eureka during CALIPSO, OMI OP. Albedo, BRDF. 79 APRThule-FairbanksSquare spiral on CALIPSO, OMI track. BRDF & albedo, ice & cloud. AOD gradient & stack. CO & aerosol structure in predicted plume. Flt No. Date, 2008 TrackComments 813 AprFairbanks-North- Fairbanks Cloud albedo & BRDF. In situ aerosol & CO in Asian transport episode to test models. 915 AprFairbanks-Barrow- Fairbanks Comparison & radiation stack w NOAA P-3 under B Cascade impactor. Albedo, BRDF at Elson Lagoon with surface-based meas. Zero ozone over open leads. 6 special albedo sites. Radiation leg on CALIPSO, OMI track AprFairbanks-Moffett over Pacific DC-8 comparison on CALIPSO, OMI track. Steps in DC-8 lidar curtain. Square spiral during CALIPSO, OMI OP. Aerosol gradients predicted by models. Data Flt No.Date, 2008TrackComments 1122 JunMoffett-Monterey Bay-Big Sur-MoffettPower plant plume, CAR circles, ship plume, AERONET, lidar, Terra, sonde, wildfire smoke JunMoffett-Los Angeles-Moffett19 ship plume crossings. Profiles under Terra & Aqua. Ocean BRDF (calm & 50-kt winds). Fire plumes & pollution plumes. 13 & 1426 JunMoffett-Edmonton-Cold LakeLake Tahoe smoke radiation study in DC-8 lidar curtain & under Terra. Lake albedo & BRDF. Central Valley smoke gradient legs. Flt No. DateTrackComments 1528 Jun Cold Lake- Athabasca-Cold Lake Sampled many fire plumes (incl. pyrocumulus) in many stages of development under B Jun Cold Lake- Athabasca- Great Slave- Cold Lake Fire plumes. Albedo, BRDF over lake & land. Ft. McMurray plume. DC-8 comparison scrubbed by clouds JunCold Lake-NE- Cold Lake CALIPSO, OMI underflight w AOD & in situ. Black & white smoke. In situ & radiation under B-200. BRDF over smoke pall. Asian pollution w dust as predicted by models. 182 JulCold Lake-NE & E-Cold Lake Radiation work under B-200. Aerosol evolution in downwind transport. Pyrocumulus. Flt No. DateTrackComments 193 JulCold Lake-Ft. McMurray- Reindeer Lake-Cold Lake Ft McMurray AERONET spiral in regional biomass haze. MODIS- MISR-MOPITT spiral. B CALIPSO, OMI spiral. Radiation stack. Forest BRDF. Fresh smoke sampling + downwind evolution. Radiation-AOD-in situ ramp. 206 JulCold Lake-Great Slave- Athabaska-Cold Lake Radiation profiles & legs under Terra. BRDF of blue & muddy water. Cloud edges under B-200. Dense smoke spirals under B Radiation stacks. CAR in cloud. PyroCu outflow. 217 JulCold Lake-British Columbia-Cold Lake Radiative forcing efficiency of Asian/Siberian plume. Aerosol effects on MODIS-Terra cloud sensing. Tests of model aerosol, CO, & O 3 predictions. Radiation stacks. CAR circles over AERONET. In situ-AATS-AERONET spiral. 229 JulCold Lake-Reindeer Lake- Athabaska-Cold Lake Spirals & radiation legs under Terra-MISR. Radiation legs + stacks in fire plumes under B CALIPSO, OMI. Black & white smoke JulCold Lake-Ft McMurray- Athabaska-Cold Lake DC-8 intercomparison under B-200. Cloud edge work. Ft. McMurray sampling. Camsell & Viking fires—greatest CO, AOD>4. A43A Jun 9 Jul Overall AATS-HiGEAR-AERONET AOD Comparisons 22 Jun 26 Jun 24 Jun Summary and Conclusions AATS data from the ARCTAS flights listed below are being used in a wide variety of studies of Arctic haze, surface properties, and biomass smoke, including satellite validation (Livingston et al., A43A-0154), closure tests between radiometric and in situ data products, multi-sensor determinations of aerosol properties and effects (Redemann et al., A41E-02; Ottaviani et al., A43A-0155), as well as studies of Cloud Condensation Nuclei (Shinozuka et al., A31G-07), High Spectral Resolution Lidar (Ferrare et al., A43A- 0164), aerosol radiative heating (Bucholtz et al., A34B-01), and snow surface albedo (Schmidt et al., A43A-0159 ) and bidirectional reflectance (Lyapustin et al., A43A-0158). Example results presented in this poster include:  In 53 P-3 vertical profiles with altitude change >1 km, 66% of layer AODs from HiGEAR in situ scattering and absorption measurements were within ±(10%+0.02) of AATS layer AOD.  In 5 profiles over AERONET sites, AATS and AERONET AODs had RMS difference  For AOD>0.1, AATS-HiGEAR Angstrom exponent (  differences were typically <0.1.  As with , the comparison of AATS Fine-Mode Fraction (FMF) to HiGEAR Submicron-Mode Fraction (SMF) showed little dependence on whether AATS-HiGEAR AOD difference was <(10%+0.02). , FMF, & SMF are all intensive properties, perhaps less sensitive to plume horizontal structure that causes AOD differences. Detailed results are shown in the presentations cited above and listed in References. Summer—California Spring—Arctic NASA P-3B 22 Jun 24 Jun HiGEAR AOD (550 nm) = 0.29 AATS14 AOD (550 nm) = 0.31 DC-8 Flight Track P-3B 26 Jun 8 Apr 15 Apr AATS way comparison of Aerosol Optical Depth (AOD) from AATS, Hawaii Group for Environmental Aerosol Research (HiGEAR) in situ P-3, and Aerosol Robotic Network (AERONET) ground measurements, conducted in lidar beam at Eureka, 80 N, 86 W. Radiation stack to determine aerosol absorption and single scattering albedo (SSA) by combining AATS and Solar Spectral Flux Radiometer (SSFR) data. See also Bierwirth et al. (A13A-0185), plus Schmidt et al. (A43A-0159) for surface albedo measurement and Lyapustin et al. (A43A-0158; ACPD, 2009) for snow Bidirectional Reflectance Factor (BRF) measurements. Radiation Stack 3 Jul NASA P-3 4-way comparison of AOD from AATS, HiGEAR in situ on P-3, AERONET ground measurements, and MODIS-Terra satellite conducted in spiral over Monterey Airport. Comparison of layer AOD below 5 km from AATS & HiGEAR in profile under MODIS-Aqua in California wildfire plume aloft. Profile under Aqua California wildfire smoke over Central Valley and Lake Tahoe in DC-8 lidar curtain below Terra. Potential radiation study using AATS, SSFR, CAR, HiGEAR, and Broad-Band Radiometers (BBR). References Bierwirth, E., et al., Aerosol absorption coefficient and single scattering albedo from combined irradiance and actinic flux density measurements, AGU Fall 2009 Meeting, Paper A13A-0185, Poster Hall, 1:40-6:00 PM Mon 14 Dec Bucholtz, A., et al., Radiative Heating Rates of Canadian Boreal Forest Fire Smoke During ARCTAS, AGU Fall 2009 Meeting, Paper A13A-0185, Room 3004, 4:00 PM Wed 16 Dec Ferrare, R. A., et al., Airborne High Spectral Resolution Lidar Aerosol Measurements during ARCTAS, AGU Fall 2009 Meeting, Paper A43A-0164, Poster Hall, 1:40-6:00 PM Thur 17 Dec Livingston, J. M. et al., Validation of satellite overland retrievals of AOD at northern high latitudes with coincident measurements from airborne sunphotometer, lidar, and in situ sensors during ARCTAS, Paper A43A-0154, Poster Hall, 1:40-6:00 PM Thur 17 Dec Lyapustin;, A., et al., Analysis of Snow BRF from Spring-2008 ARCTAS Campaign, AGU Fall 2009 Meeting, Paper A43A-0158, Poster Hall, 1:40-6:00 PM Thur 17 Dec Lyapustin, A., et al., Analysis of snow bidirectional reflectance from ARCTAS spring-2008 campaign, Atmos. Chem. Phys. Discuss., 9, 21993–22040, O'Neill, N. T., et al. (2001), Modified Angstrom exponent for the characterization of submicrometer aerosols, Applied Optics, 40, way comparison of AOD from AATS, HiGEAR in situ on P-3, and AERONET ground measurements, under Terra in regional biomass haze at Ft. McMurray. In biomass smoke plume predicted by NRL COAMPS and Goddard GEOS5, comparison of AOD and extinction vertical profiles from AATS and HiGEAR on P-3 with lidar profiles from HSRL on B-200 and CALIOP on CALIPSO. Comparison of AATS AOD with OMI and MODIS retrievals. References (cont’d) Ottaviani, M., et al., The brightest side of ARCTAS: Using sunglint and polarization in retrievals of aerosol properties, AGU Fall 2009 Meeting, Paper A43A-0155, Poster Hall, 1:40- 6:00 PM Thur 17 Dec Redemann, J. et al., The coordinated multi-sensor, multi-platform ARCTAS fire plume study on June 30, 2008, AGU Fall 2009 Meeting, AGU Fall 2009 Meeting, Paper A41E-02, Room 3004, 8:15 AM Thur 17 Dec Schmidt, S., et al., Airborne Measurement of Surface Albedo in Alaska, AGU Fall 2009 Meeting, Paper A43A-0159, Poster Hall, 1:40-6:00 PM Thur 17 Dec Shinozuka, Y., et al., Challenges in remote sensing of CCN concentration: a comprehensive assessment with airborne measurements of AOD, CCN, chemical composition, size distribution, light scattering/absorption and humidity response in North America, AGU Fall 2009 Meeting, Paper A31G-07, Room 3004, 9:30 AM Wed 16 Dec Big Sur Fire Smoke AATS AOD AATS +10%+0.02 AATS -10%-0.02 Saturna Island off Vancouver, 7 Jul Barrow, AK, 6 Apr AATS-HiGEAR Angstrom and Size Comparisons AATS-HiGEAR comparisons of Angstrom exponent  (above) show that for AOD>0.1,  differences were typically <0.1. As with , the comparison (left) of AATS Fine-Mode Fraction (FMF) to HiGEAR Submicron- Mode Fraction (SMF) shows little dependence on whether AATS-HiGEAR AOD difference is <(10%+0.02). , FMF, & SMF are all intensive properties, perhaps less sensitive to plume horizontal structure that causes AOD differences. Markers sized by HiGEAR layer AOD 550 nm AATS FMF determined by method of O’Neil et al. P-3 B-200 CALIPSO Left: AOD comparison, AATS vs. MODIS (10- km standard retrieval, and 3-km experimental with cloud screening disabled) Right: Regression of radiative flux versus AOD yields radiative forcing efficiency 1  uncertainty MODIS Multi-platform, multi-sensor coordination study of fire plume: P-3: AATS, SSFR, in situ; B-200: HSRL, RSP; A-train: MODIS-Aqua, CALIPSO, CERES See also Redemann et al., A41E-02 See also Livingston et al., A43A-0154 See also Shinozuka et al., A31G-07 Comparison of AATS, OMI, and MODIS AOD spectra A B C