John E. Yorks, M. McGill, S. Rodier, M. Vaughan, Y. Hu, D. Hlavka African Dust and Smoke Influences on Radiative Effects in the Tropical Atlantic Using.

Slides:



Advertisements
Similar presentations
Robin Hogan, Richard Allan, Nicky Chalmers, Thorwald Stein, Julien Delanoë University of Reading How accurate are the radiative properties of ice clouds.
Advertisements

Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross.
Satellite Observations of Enhanced Pre- Monsoon Aerosol Loading and Tropospheric Warming over the Gangetic-Himalayan Region Ritesh Gautam 1, N. Christina.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Semi-direct effect of biomass burning on cloud and rainfall over Amazon Yan Zhang, Hongbin Yu, Rong Fu & Robert E. Dickinson School of Earth & Atmospheric.
10 June 2004 NOAA CALIPSO Meeting Camp Springs, MD CALIPSO Overview Presented by Jim Yoe Status – D. Winker Potential Applications – D. Emmitt, C. Barnet,
Applications of satellite measurements on dust-cloud-precipitation interactions over Asia arid/semi-arid region Jianping Huang Key Laboratory for Semi-Arid.
Quantifying aerosol direct radiative effect with MISR observations Yang Chen, Qinbin Li, Ralph Kahn Jet Propulsion Laboratory California Institute of Technology,
ARM Atmospheric Radiation Measurement Program. 2 Improve the performance of general circulation models (GCMs) used for climate research and prediction.
Figure 2.10 IPCC Working Group I (2007) Clouds and Radiation Through a Soda Straw.
What is the Saharan Air Layer? The Saharan Air Layer (SAL) is a layer of warm, dry, dusty air which normally overlays the cooler more humid surface air.
© Imperial College LondonPage 1 Quantifying the direct radiative effect of Saharan dust aerosol over north-west Africa and the tropical Atlantic Richard.
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.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Trajectory validation using tracers of opportunity such as fire plumes and dust episodes Narendra Adhikari March 26, 2007 ATMS790 Seminar (Dr. Pat Arnott)
Aerosol effect on cloud cover and cloud height Kaufman, Koren, Remer, Rosenfeld & Martins.
Radiation Group 3: Manabe and Wetherald (1975) and Trenberth and Fasullo (2009) – What is the energy balance of the climate system? How is it altered by.
Forest Fires: Particulate Effects on Global Climatology Akua Asa-Awuku, Christos Fountoukis, & Robyn Williams.
1 CERES Results Norman Loeb and the CERES Science Team NASA Langley Research Center, Hampton, VA Reception NASA GSFC, Greenbelt, MD.
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.
A four year record of Aerosol Absorption measurements from OMI near UV observations Omar Torres Department of Atmospheric and Planetary Sciences Hampton.
ISCCP at its 30 th (New York, 22 – 25 April, 2013) Congratulations to the “Core Team” and to “Patient Outside-Supporters”: Our best wishes for a perspective.
Optical properties Satellite observation ? T,H 2 O… From dust microphysical properties to dust hyperspectral infrared remote sensing Clémence Pierangelo.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
Modelling the radiative impact of aerosols from biomass burning during SAFARI-2000 Gunnar Myhre 1,2 Terje K. Berntsen 3,1 James M. Haywood 4 Jostein K.
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.
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.
Boundary Layer Clouds.
Radiative Impacts of Cirrus on the Properties of Marine Stratocumulus M. Christensen 1,2, G. Carrió 1, G. Stephens 2, W. Cotton 1 Department of Atmospheric.
RMIB involvement in the Geostationary Earth Radiation Budget (GERB) and Climate Monitoring SAF projects Nicolas Clerbaux Remote sensing from Space Division.
Theory West African dust outbreaks and the relationship with North Atlantic hurricanes Amato T. Evan, Christopher S. Velden, Andrew K. Heidinger & Jason.
Studying impacts of the Saharan Air Layer on hurricane development using WRF-Chem/EnKF Jianyu(Richard) Liang Yongsheng Chen 6th EnKF Workshop York University.
CLOUD PHYSICS LIDAR for GOES-R Matthew McGill / Goddard Space Flight Center April 8, 2015.
Page 1© Crown copyright 2006 Modelled & Observed Atmospheric Radiation Balance during the West African Dry Season. Sean Milton, Glenn Greed, Malcolm Brooks,
Evaluation of radiative properties of low and high clouds in different regimes using satellite measurements Bing Lin 1, Pat Minnis 1, and Tai-Fang Fan.
Estimation of Potential Evapotranspiration from Merged CERES and MODIS Observations Anand Inamdar & A. French Arid Land Agricultural Research Center (ALARC/ARS/USDA)
Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,
Within dr, L changes (dL) from… sources due to scattering & emission losses due to scattering & absorption Spectral Radiance, L(, ,  ) - W m -2 sr -1.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Cloud property retrieval from hyperspectral IR measurements Jun Li, Peng Zhang, Chian-Yi Liu, Xuebao Wu and CIMSS colleagues Cooperative Institute for.
Nan Feng and Sundar A. Christopher Department of Atmospheric Science
AEROCOM AODs are systematically smaller than MODIS, with slightly larger/smaller differences in winter/summer. Aerosol optical properties are difficult.
Page 1 © Crown copyright 2004 Aircraft observations of Biomass burning aerosol Ben Johnson, Simon Osborne & Jim Haywood AMMA SOP0 Meeting, Exeter, 15 th.
Consistent Earth System Data Records for Climate Research: Focus on Shortwave and Longwave Radiative Fluxes Rachel T. Pinker, Yingtao Ma and Eric Nussbaumer.
UNIVERSITY OF BASILICATA CNR-IMAA (Consiglio Nazionale delle Ricerche Istituto di Metodologie per l’Analisi Ambientale) Tito Scalo (PZ) Analysis and interpretation.
The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt,
Mayurakshi Dutta Department of Atmospheric Sciences March 20, 2003
Aerosol properties in a cloudy world (from MODIS and CALIOP) Alexander Marshak (GSFC) Bob Cahalan (GSFC), Tamas Varnai (UMBC), Guoyong Wen, Weidong Yang.
A-Train Symposium, April 19-21, 2017, Pasadena, CA
UEE Seminar Series Lidar Sensing of Tropospheric Aerosols and Clouds
Vertically resolved CALIPSO-CloudSat aerosol extinction coefficient in the marine boundary layer and its co-variability with MODIS cloud retrievals David.
W. Smith, D. Spangenberg, S. Sun-Mack, P.Minnis
Dust detection methods applied to MODIS and VIIRS
Stratocumulus cloud thickening beneath layers of absorbing smoke aerosol – Wilcox, 2010 The semi-direct aerosol effect: Impact of absorbing aerosols.
Jianyu Liang (York U.) Yongsheng Chen (York U.) Zhiquan Liu (NCAR)
Jianbo Liu Characterizing Global Precipitation Patterns Using Results from CloudSat Jianbo Liu
Measurements of brown carbon in and around clouds
ATMOSPHERIC AEROSOL: suspension of condensed-phase particles in air
Modelling the radiative impact of aerosols from biomass burning during SAFARI-2000   Gunnar Myhre, Terje K. Berntsen, James M. Haywood, Jostein K. Sundet,
Robert Wood, Duli Chand, Tad Anderson University of Washington
During April 2008, as part of the International Polar Year (IPY), NOAA’s Climate Forcing and Air Quality Programs engaged in an airborne field measurement.
+ = Climate Responses to Biomass Burning Aerosols over South Africa
Mike Pavolonis (NOAA/NESDIS/STAR)
Robert Wood, Duli Chand, Tad Anderson University of Washington
Robert Wood, Duli Chand, Tad Anderson University of Washington
Study Monsoon Precipitating Cloud-Covered Regions Using Results From Various CMIP Climate Models Jianbo Liu.
Mike Pavolonis (NOAA/NESDIS/STAR)
CALIPSO First-Light Observations – All 3 Lidar Channels
Betsy Berry and Jay Mace University of Utah
Presentation transcript:

John E. Yorks, M. McGill, S. Rodier, M. Vaughan, Y. Hu, D. Hlavka African Dust and Smoke Influences on Radiative Effects in the Tropical Atlantic Using CERES and CALIPSO Data Paper 8.3, AMS 2009 Annual Meeting, January 15, 2009, Phoenix, AZ

INTRODUCTION Complex cloud-aerosol interactions and their effects on the radiation budget are a major uncertainty in understanding climate –Aerosol direct effect –Aerosol indirect effects –Aerosol semi-direct effect –Elevated aerosol layers can limit solar radiation reaching clouds These interactions have been investigated previously using models and imaging sensors like MODIS and CERES –Dust from Asian dust storms has caused changes in cloud microphysics, resulting in a weakening of cloud SW and net radiative forcing (Huang et al., 2006) Africa is a primary source of atmospheric desert dust and smoke from biomass burning –Projects such as SAFARI (2000) and NAMMA (2006) have been dedicated to studying African aerosols J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

COLLOCATED DATA CALIPSO & CERES data from the month of July, was collocated (Track between UTC for each day) CERES: imager on Aqua satellite that measures broadband top- of-atmosphere (TOA) radiances CALIPSO: satellite w/ CALIOP dual wavelength backscatter lidar –Has advantages over imagers such as MODIS Provides vertical profiles of clouds and aerosols w/ 60 m vertical resolution Better detection of multiple cloud/aerosol layers in same profile Allows for more accurate user classification of aerosol and cloud type using optical depth, layer height, depolarization ratio J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

PROFILE TYPES Cirrus: optically thin (0.1<COD<1.0) cloud with base height above 8 km Low Cloud: cloud with base height below 5 km (COD>0.1) Dust: Profiles with an aerosol layer of AOD>0.03 and depolarization ratio greater than 0.2 OR 0.07<depolarization ratio<0.2 and 40<S-ratio<60 Smoke: Profiles with an aerosol layer of AOD>0.03 and depolarization ratio less than 0.07 OR Cirrus Dust Smoke Low Cloud J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

PROFILE TYPES Profile Type ConstraintsSamples Pristine/Clearno cloud or aerosol layers present722 Cirrusaerosol-free profile with cirrus cloud1447 Low Cloudaerosol-free profile with low cloud5682 Dustcloud-free profile with dust layer2505 Smokecloud-free profile with smoke layer8476 Dust-Low Cloud (DLC)profile with a low cloud and dust layer3014 Smoke-Low Cloud (SLC)profile with a low cloud and smoke layer1261 Dust-Cirrus Cloud (DC)profile with a cirrus cloud and dust layer304 Smoke-Cirrus Cloud (SC)profile with a cirrus cloud and smoke layer244 * All profiles based on layers detected by CALIPSO J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

LAYER LOCATION J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

DUST & SMOKE TRANSPORT J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

CLOUD DIRECT EFFECTS Low cloud profiles have a greater SW cooling effect than thin cirrus –likely due to larger optical depths of low clouds (2.00) than cirrus (0.53). Cirrus have a stronger greenhouse effect than low clouds –LW radiative flux for cirrus clouds is W/m 2, which is 15% lower than low cloud profiles and 26% lower than pristine profiles –This is likely attributed to the difference in cloud height between cirrus (11.75 km) and low clouds (1.91 km) J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

LOW CLOUDS Dust decreases the SW flux of low clouds ~60 W/m 2 (23%) –Likely due to dust located above the cloud SLC profiles have mean SW TOA radiative flux that is ~30 W/m 2 lower than Low Cloud profiles –Changes in cloud microphysics likely dominant factor LW flux relatively insensitive to aerosol-low cloud interactions (Change of less than 5%) J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

DUST HEIGHT Majority of dust layers (~70%) in DLC profiles are found above 3 km and above the majority of low clouds Elevated dust layers absorb and scatter solar radiation which can: –Inhibit radiation from reaching the cloud –Warms air in the vicinity of cloud top –Evaporates cloud particles located in the upper part of the cloud (semi-direct effect) Aerosol TypeOptical DepthCIAB (sr-1)Particle Radius (um) DLC Low Cloud J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

SMOKE HEIGHT Majority of smoke layers (~70%) in SLC profiles are found below 3 km, at the same levels as the majority of low clouds (~85% below 3 km) Decreases in cloud optical depth (~25%), cloud integrated attenuated backscatter (~50%), and water particle radius reveal changes in cloud microphysics Aerosol semi-direct effect likely the dominant effect Aerosol TypeOptical DepthCIAB (sr-1)Particle Radius (um) SLC Low Cloud J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

CIRRUS CLOUDS The 3-year mean SW radiative fluxes for DC and SC profiles are 12% and 20% less than Cirrus profiles, respectively –Likely due to aerosol absorption below cloud or meteorological conditions –Changes in cloud microphysics occur, but not likely caused by aerosols SC and DC profiles have mean LW radiative fluxes of 235 W/m 2, nearly 7% greater than aerosol-free cirrus cloud profiles –Likely a results of a lower mean cloud height for aerosol-free cirrus cloud profiles J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

SUMMARY Dust and smoke aerosols pollute the Tropical Atlantic in July Low Clouds influence radiative effects over Tropical Atlantic more so than thin cirrus –Greater SW cooling and weaker Greenhouse effect Cloud-aerosol interactions have significant impact on climate of Tropical Atlantic through aerosol absorption above clouds and aerosol semi-direct effect –The decrease in low cloud SW radiative flux due to elevated Saharan dust layers can lead to a weakening of low cloud net cooling in excess of 30% Aerosol layer height and type are important factors in determining cloud-aerosol interactions –These factors are more accurately detected using the CALIPSO lidar than imagers such as MODIS J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ

Acknowledgments NASA’s Radiation Sciences Program funded this study. Special thanks to all the members of the CALIPSO and CERES science team for making the instrument data available. References Huang, J., P. Minnis, B. Lin, T. Wang, Y. Yi, Y. Hu, S. Sun-Mack, and K. Ayers, 2006: Possible influences of Asian dust aerosols on cloud properties and radiative forcing observed from MODIS and CERES. Geophys. Res. Lett., 33, L06824, doi: /2005GL Wielicki, B. A., et al.,1996: Clouds and the Earth’s radiant energy system (CERES): An Earth observing system experiment. Bull. Am. Meteorol. Soc., 77, 853– 868. Winker, D. M., J. R. Pelon, and M. P. McCormick, 2003: The CALIPSO mission: Spaceborne lidar for observation of aerosols and clouds, in Lidar Remote Sensing for Industry and Environment Monitoring III. edited by U. Singh, T. Itabe, and Z. Liu, Proc. SPIE Int. Soc. Opt. Eng., 4893, 1–11. Back trajectories from NOAA HYSLPIT and EDAS 40 km Meteorological fields ( MODIS daily active fire detection product for 17 July 2007 ( J. Yorks, Paper 8.3, AMS 2009 Annual Meeting, 15 January 2009, Phoenix AZ