Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Aerosol horizontal structure – variability Jens Redemann (BAER Institute) + J-31 team.

Slides:

Advertisements

Similar presentations

US Calibration/Validation Activities for the ADM/Aeolus Mission Mike Hardesty and Lars-Peter Riishojgaard.

Advertisements

Proposed participation of the MODIS Aerosol team and Si-Chee in the Dry/wet AMC + SMOCC campaign in Amazonia August-November 2002 (There are question marks.

Constraining aerosol sources using MODIS backscattered radiances Easan Drury - G2

Menghua Wang NOAA/NESDIS/ORA E/RA3, Room 102, 5200 Auth Rd.

Objective: Work with the WRAP, CenSARA, CDPHE, BLM and EPA Region 8 to use satellite data to evaluate the Oil and Gas (O&G) modeled NOx emission inventories.

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

Direct aerosol radiative forcing based on combined A-Train observations – challenges in deriving all-sky estimates Jens Redemann, Y. Shinozuka, M.Kacenelenbogen,

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

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.

Orbit Characteristics and View Angle Effects on the Global Cloud Field

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

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.

New Products from combined MODIS/AIRS Jun Li, Chian-Yi Liu, Allen Huang, Xuebao Wu, and Liam Gumley Cooperative Institute for Meteorological Satellite.

The combined use of MODIS, CALIPSO and OMI level 2 aerosol products for calculating direct aerosol radiative effects Jens Redemann, M. Vaughan, Y. Shinozuka,

GOES and GOES-R ABI Aerosol Optical Depth (AOD) Validation Shobha Kondragunta and Istvan Laszlo (NOAA/NESDIS/STAR), Chuanyu Xu (IMSG), Pubu Ciren (Riverside.

NOAA/NESDIS Cooperative Research Program Second Annual Science Symposium SATELLITE CALIBRATION & VALIDATION July Barry Gross (CCNY) Brian Cairns.

Variational Assimilation of MODIS AOD using GSI and WRF/Chem Zhiquan Liu NCAR/NESL/MMM Quanhua (Mark) Liu (JCSDA), Hui-Chuan Lin (NCAR),

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.

Jetstream 31 (J31) at Mid-Campaign in INTEX-B/MILAGRO: Science Goals, Payload, Example Results, Assessment Phil Russell, Jens Redemann, Brian Cairns, Charles.

Direct aerosol radiative forcing based on combined A-Train observations and comparisons to IPCC-2007 results Jens Redemann, Y. Shinozuka, M. Vaughan, P.

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.

UV Aerosol Product Status and Outlook Omar Torres and Changwoo Ahn OMI Science Team Meeting Outline -Status -Product Assessment OMI-MODIS Comparison OMI-Aeronet.

Group proposal Aerosol, Cloud, and Climate ( EAS 8802) April 24 th, 2006 Does Asian dust play a role as CCN? Gill-Ran Jeong, Lance Giles, Matthew Widlansky.

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.

Allen Chu & MODIS Aerosol Team MODIS Atmosphere Retreat Meeting St. Michaels, Maryland March 17, 2003 Evaluation of MODIS Aerosol Products in ACE-Asia.

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.

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.

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.

4STAR: Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research A collaboration involving: PNNL: Connor J. Flynn, B. Schmid, E. Kassianov NASA.

J31 Data Workshop 9-10Mar05 Validation of Satellite Aerosol Optical Depth by AATS-14 during ICARTT 2004 NASA Ames Airborne Sunphotometer Team Presented.

Vertically resolved aerosol optical properties over the ARM SGP site B. Schmid, H. Jonsson, A. Strawa, B. Provencal, K. Ricci, D. Covert, R. Elleman, W.

Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,

Cloud property retrieval from hyperspectral IR measurements Jun Li, Peng Zhang, Chian-Yi Liu, Xuebao Wu and CIMSS colleagues Cooperative Institute for.

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.

Intercomparison of satellite retrieved aerosol optical depth over ocean G. Myhre, F. Stordal, M. Johnsrud, A. Ignatov, M.I. Mishchenko, I.V. Geogdzhayev,

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.

Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,

Cal/Val at CIOSS Ted Strub – CIOSS/COAS/OSU Cooperative Institute for Oceanographic Satellite Studies College of Oceanic and Atmospheric Sciences Oregon.

NASA’s Coastal and Ocean Airborne Science Testbed (COAST) L. Guild 1, J. Dungan 1, M. Edwards 1, P. Russell 1, J. Morrow 2, S. Hooker 3, J. Myers 4, R.

RSG Vicarious Calibration Results and Automated Approach Jeffrey Czapla-Myers Remote Sensing Group ~ Optical Sciences Center University of Arizona Presented.

MODIS Atmosphere Products: The Importance of Record Quality and Length in Quantifying Trends and Correlations S. Platnick 1, N. Amarasinghe 1,2, P. Hubanks.

Horizontal variability of aerosol optical properties observed during the ARCTAS airborne experiment Yohei Shinozuka 1*, Jens Redemann 1, Phil Russell 2,

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,

Studying the radiative environment of individual biomass burning fire plumes using multi-platform observations: an example ARCTAS case study on June 30,

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)

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.

Vertically resolved CALIPSO-CloudSat aerosol extinction coefficient in the marine boundary layer and its co-variability with MODIS cloud retrievals David.

An overview of J-31 measurements during the INTEX-B/MILAGRO campaign

NPOESS Airborne Sounder Testbed (NAST)

Towards achieving continental scale field validation and multi-sensor interoperability of satellite derived surface reflectance in Australia Medhavy Thankappan1,

Modelling the radiative impact of aerosols from biomass burning during SAFARI-2000 Gunnar Myhre, Terje K. Berntsen, James M. Haywood, Jostein K. Sundet,

G. Myhre, F. Stordal, M. Johnsrud, A. Ignatov, M. I. Mishchenko, I. V

Global Climatology of Aerosol Optical Depth

Assessment of Satellite Ocean Color Products of the Coast of Martha’s Vineyard using AERONET-Ocean Color Measurements Hui Feng1, Heidi Sosik2 , and Tim.

Presentation transcript:

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Aerosol horizontal structure – variability Jens Redemann (BAER Institute) + J-31 team (Preliminary results – do not cite)

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Scientific motivation for studying aerosol spatial variability  Spatial variability of aerosol properties in the vicinity of clouds → cloud haloes → aerosol indirect effect  Spatial variability in satellite radiances is used in cloud-screening → contributions of aerosol variability to radiance variability? → separation of aerosol and cloud signal?  Comparison of aerosol spatial variability as seen by satellite and suborbital sensors gives insight into satellite retrieval performance (e.g., surface vs. aerosol variance)  Feasibility of new satellite sensor designs

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Example 1: Spatial variability of AOD in the vicinity of clouds – cloud haloes or cloud contamination?

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Spatial variability of AOD in the vicinity of clouds – cloud haloes or cloud contamination? -1- …but, what about cloud haloes?

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Low-level flight segments (<100m) to study spatial variability in AOD and in situ properties, ACE-Asia 2001

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Example: Water vapor, in situ aerosol extinction and AOD during low-level flight leg in ACE-Asia

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005 Auto-correlation:

J31 Flight 8, 15 July 2004 MODIS AOD, COT & J31 Track: L. Gumley, A. Chu, C. Kittaka, B. Pierce Aerosol Optical Depth (550 nm) Cloud Optical Thickness (670 nm)

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005

Approach for aerosol spatial variability work Identify all J-31 low-level legs Identify all J-31 low-level legs Compute metrics for spatial variability, e.g., auto- correlation, structure functions in suborbital AOD Compute metrics for spatial variability, e.g., auto- correlation, structure functions in suborbital AOD Compare spatial variabilities in ICARTT with other field campaigns [first US East Coast then different geographical regions – different proximities to aerosol source regions] Compare spatial variabilities in ICARTT with other field campaigns [first US East Coast then different geographical regions – different proximities to aerosol source regions] Find subsets of J-31 data that have satellite coincidences with MISR and MODIS data and compare spatial variabilities Find subsets of J-31 data that have satellite coincidences with MISR and MODIS data and compare spatial variabilities Fine-comb data for cloud haloes Fine-comb data for cloud haloes

Redemann, ICARTT J-31 data workshop, Boulder, CO, Mar. 9-10, 2005