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    NASA AtmosphericComposition Research

    Ken JucksProgram Manager, NASA Upper Atmosphere

    Research Program

    Student Airborne Research Program

    July 13, 2009

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    What defines Atmospheric Composition?What defines Atmospheric Composition?

    3 All the stuff in the atmosphere that has an impact on human lives.

    u The basic gases involved biological and anthropogenic processes (O2,CO2, N2O, CH4, CFCs, hydrocarbons, pollutants (NO, Ozone).

    u The gases that are secondary products from chemistry that involves the

    above gases (NO2, OH, HO2, O3,..)

    u Aerosols (condensed gases, dust, organic reactants, sea salt, etc.)

    u

    Water in ALL its forms (gas, liquid, ice)!

    3 The atmospheric constituents that constrain the radiative balance

    of the atmosphere (i.e. climate forcing)

    u Greenhouse gases (CO2, CH4, N2O, O3, CFCs, etc.)

    u Water in ALL its formsu Aerosols

    2

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    How is atmospheric research done atHow is atmospheric research done at

    NASA?NASA?

    3 Atmospheric Composition is divided up into 4 programs

    u Upper Atmosphere Research Programu Tropospheric Chemistry Program

    u Radiation Science Program

    u Atmospheric Chemistry Modeling and Analysis Program

    3 Research is performed along the following lines:u Satellite observations of the atmosphere (Much more later)

    u Airborne observations of the atmosphere (what you are here to learn

    about!)

    u Other suborbital observations of the atmosphere (sonde balloones and

    LARGE high altitude balloons)u Ground based observations of the atmosphere.

    u Modeling and data analysis studies using and/or tying togetherALL the

    above observations.

    3

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    Upper Atmosphere Research ProgramUpper Atmosphere Research Program

    3 Concentrates on observations that augment the satellite

    observations of ozone and the composition of the stratosphere andupper troposphere.

    3 High altitude airplane observations of O3, CFCs, water vapor, other

    source gases that can deplete ozone, and the reactive free radicals

    that directly react with ozone.

    3 Higher altitude large balloon observations making similarmeasurements.

    3 Ground based observations that provide the long term records of

    ozone, ozone depleting substances, and reactive radicals.

    3 Other observations that validate the satellite observations from the

    Aura satellite.

    3 Laboratory studies that help to interpret the observations from all of

    the above.

    4

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    Ozone and ChlorineOzone and Chlorine

    3In 1974, Richard Stolarski and Ralph Cicerone, then at

    the University of Michigan, suggest that chlorine couldalso catalytically destroy ozone in the stratosphere. They

    had been studying, for NASA, the possible impacts of solid

    rocket propellants such as used by the Space Shuttle.

    Stolarski Cicerone

    Cl + O3 -> ClO +O2

    ClO + O -> Cl + O2

    Net: O + O3 -> 2O2

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    AAOE: 8/23/87 & 9/16/87 Data:AAOE: 8/23/87 & 9/16/87 Data:

    The Smoking GunThe Smoking Gun

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    15x103

    1 0

    5

    Altitude

    (m

    )

    30252015

    Total O rganic Brom ine (pm ol /mo l)

    < > 20151050

    Lat i tude

    Tropical surface to stratosphere profile of

    ozone-depleting bromine source gases

    From NASA DC-8 and WB-57

    Tropical surface sources of

    short-lived organic bromine

    Elevated levels above 20 ppb in

    upper troposphere are a sign of

    convective transport.

    Decreasing levels signify

    Transport through TropicalTropopause Layer (TTL)

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    ER-2

    track

    H2O rh%

    Ice: mg/m3ER2: Cloud Physics Lidar (upper)

    WB57: In situ data (lower)

    T (K)

    supersat

    O3

    WB57

    alt

    Ice

    Probing of a tropical subvisible cirrus layer with two planes during TC4

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    High Altitude Balloon FlightsHigh Altitude Balloon Flights

    11

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    High Altitude Balloon DataHigh Altitude Balloon Data

    12

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    Examples of photochemistry studies from balloon dataExamples of photochemistry studies from balloon data

    13

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    AGAGE is distinguished

    by its capability to

    measure over the globe at

    high frequency almost all

    of the important speciesin the Montreal Protocol

    to protect the ozone layer

    and almost all of the

    significant non-CO2 gases

    in the Kyoto Protocol to

    mitigate climate change.

    Advanced Global Atmospheric Gases Experiment and Affiliated

    Networks

    The AGAGE, and its predecessors (the Atmospheric Lifetime Experiment, ALE,

    and the Global Atmospheric Gases Experiment, GAGE) have been measuring the

    composition of the global atmosphere continuously since 1978.

    SOGE: System for Observation of HalogenatedGreenhouse Gases in EuropeNIES: National Institute for EnvironmentalStudies, Japan

    SNU: Seoul National University, Korea.AGAGE WEB SITE athttp://agage.eas.gatech.edu

    The ALE/GAGE/AGAGE stations occupy

    coastal & mountain sites around the world

    chosen to provide accurate measurements

    of trace gases whose lifetimes are long

    compared to global atmospheric circulation

    times.

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    Tropospheric Organic Chlorine

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    Network for the Detection of

    Atmospheric Composition Change

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    Satellite Measurements:

    HALOE derived Cl. The solid

    black line is the UNEP baseline

    scenario lagged 5.3 years.

    Ground-based Remote Sensing:Jungfraujoch Station Cl derived

    from the summation of column

    HCl, ClONO2, and modeled

    background ClO.

    Ground-based In Situ:

    AGAGE data

    Russell and Anderson, 2005)

    Cl Time Series for 55 km, Column and Surface

    S

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    Radiation Sciences ProgramRadiation Sciences ProgramUnderstanding Electromagnetic Radiation in the Earth SystemUnderstanding Electromagnetic Radiation in the Earth System

    Scientific Foci: Aerosols; optical properties

    (microphysical and chemistry), sources,

    transport, sinks, distribution

    Clouds; optical properties (cirrus particle

    shape), distribution, cloud meteorology

    Aerosol Cloud Interactions; aerosol

    impact on clouds and cloud properties

    Radiative Transfer; emphasize 3D RT as

    it relates to the effect of clouds on

    radiative flux and remote sensing

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    Projects typically funded in RSP: Analysis and modeling of satellite remote sensing and

    other data (e.g., MODIS, MISR, OMI, CALIPSO,CloudSAT, Glory, )

    Network measurements of radiation, aerosols andclouds for scientific investigations and satellitecalibration and validation

    Field campaigns to measure aerosols, clouds andradiation (e.g., TC-4, ARCTAS, MACPEX, )

    Laboratory studies to refine understanding of aerosoland cloud properties and the processes controllingthem

    RSP funded tasks

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    Th D i At h

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    The Dynamic Atmosphere:

    AERONET-Defining Aerosol Optical Properties

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    Status:12 active sites

    6 planned sites (in preparation)

    6 proposed sites (funding dependent)12 short-term field campaigns

    1 ocean cruise (two cruises pre-dating MPLNET are available)

    Accomplishments: MPLNET has generated and contributed to over 30 peer reviewed

    publications since 2000. Validation & algorithm development for ICESat & TOMS. CALIPSO pending. Cooperation with AERONET, modeling, and satellite groups led to

    formulation of new Synergy Tool (online aerosol database)

    Goddard team + 13 Partners compose MPLNET:NASA LaRC

    NOAA ESRL

    Naval Research Lab - MontereyJapans National Institute of Polar Research

    Spains Instituto Nacional de Tcnica Aeroespacial - INTA

    4 US Universities

    2 Korean Universities

    1 Taiwan University

    1 Chinese University other partners pending

    Objective: Long-term, local - regional - worldwide aerosol and cloud profile

    observations using common instrument & data processing in a federated network

    active sites

    field campaigns

    planned sites

    proposed sites

    former campaign, permanent site planned

    former campaign, permanent site proposed

    * Most sites are co-located with AERONET

    * Campaigns utilize SMART-COMMIT and/or

    MAARCO platforms

    * line denotes research cruise

    http://mplnet.gsfc.nasa.gov

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    Observations of Saharan Dust Transport

    Reid et al., JGR, 2003: Puerto Rico Dust Experiment (PRIDE) in 2000

    Pink dots indicate Marine Boundary Layer heights from nearby radiosonde

    Aerosol & Cloud Extinction Profiles km-1

    MPLNET Level 3 DataCabras Island Site

    A l S Pl Ph i l Ch t i tiA l S Pl Ph i l Ch t i ti

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    Aerosol Source Plume Physical CharacteristicsAerosol Source Plume Physical Characteristics

    from MISR Space-based Multi-angle Imagingfrom MISR Space-based Multi-angle Imaging

    From: R. Kahnet al.JGR2007 Wildfire smoke plumes tend to concentrate in layers of high relative atmospheric stabilitylayers of high relative atmospheric stability.

    With buoyancy from a fire or volcanofire or volcano, they can reach stable layers above the boundary layerabove the boundary layer.The MISR plume height measurements can be used in models that predict aerosol transportin models that predict aerosol transport. The GEOS-CHEM ModelingGEOS-CHEM Modeling group at Harvard (J. Logan et al) is investigating this application.

    0.0 0.6 1.2 0.0 1.2 2.4 0 5000 10,0001

    2

    3

    4

    5

    MISR nadir view

    Oregon wildfire Sept 04 2003 Smoke & bkgd aerosol amount ~Particle Size Smoke Plume Height

    P1 P2 P3 P4 P5

    MISR Stereo-Derived Smoke Plume Height histograms for five patches, plus model-derived atmospheric stability profile

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    CALIPSO Observations All 3 Lidar ChannelsCALIPSO Observations All 3 Lidar Channels

    Desert

    dust

    Biomass

    smoke

    Cirrus

    56.71

    32.16

    47.85

    28.57

    39.92

    25.78

    31.94

    23.46

    23.93

    21.42

    15.90

    19.55

    7.81

    17.77

    -0.23

    16.05

    -8.28

    14.23

    -16.31

    12.56

    -24.33

    10.69

    -32.32

    8.64

    -40.27

    6.30

    Altitude,

    km

    Altitude,

    km

    Altitude,km

    Fire locations in southern

    Africa from MODIS

    10 June 2006

    9 June 2006

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    Quantitatively calculate intercontinental transport of dust (Kaufman et al.,

    2005) or pollution (Yu et al. in preparation)

    Observationally-based estimate of aerosol direct radiative effect (Remer and

    Kaufman, 2006; Yu et al., 2006; Bellouin et al.2005; Chung et al., 2005)

    Observationally-based estimate of oceanic aerosol anthropogenic component

    or direct forcing (Kaufman et al. 2006)

    Tool for operational air quality forecasts (Al Saadi et al. 2005)

    MODIS Aerosol Products View the Global

    Aerosol System in an Entirely New Way

    Glory Instruments Measure ImportantGlory Instruments Measure Important

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    Glory Instruments Measure ImportantGlory Instruments Measure Important

    Parameters for Understanding ClimateParameters for Understanding Climate

    APS Provides:

    Determination of the global distribution of natural andanthropogenic aerosols and clouds with accuracy and

    coverage sufficient for significantly improved quantification ofdirect and indirect aerosol climate effects:

    Uncertainty in the effect of aerosols on global warmingaccounts for roughly 40 percent of the uncertainty in theradiative forcing function.

    Retrieval of aerosol particle microphysical properties byinverting multi-angle and multi-spectral radiance andpolarization measurements will significantly extend the

    information content concerning aerosols from multi-spectralinstruments such as MODIS and MISR. TIM Provides:

    Continued measurement of the Total Solar Irradiance to determinethe Suns direct and indirect effect on the Earths climate. Total Solar Irradiance with precision of 10 ppm and accuracy of

    100 ppm are needed to understand the role of the sun in climatechange and to understand the astrophysics of the nearest star tothe Earth.

    Understanding climate variability and change requires measuring:

    Aerosol Properties - optical thickness (/2), size (explicit),

    shape (new), and refractive index (new)

    Total Solar Irradiance

    Glory Will Increase Our Understanding of

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    Glory Will Increase Our Understanding of

    the Earths Energy Budget

    warming

    cooling

    Effective climate forcings (W/m2) (18802003)

    Hansen et al., Science

    308, 14311435 (2005)

    Overlap of TIM Measurements

    Enables Long-term Record

    Direct/Indirect Aerosol Effects

    Are Large and Uncertain

    ARCTAS bl f d ll i d

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    Analysis of ARCTAS measurements is showing that organic carbon contributessignificantlyto the CCN activity of fresh biomass burning plumes and thatquantifying the water soluble (organic/inorganic) carbon fraction is fundamentalto improved prediction of CCN.

    Such improvement in CCN closure theory is critical to reducing uncertainty inprediction of aerosol indirect effects on climate, particularly given expected

    changes in biomass burning.

    ARCTAS measurements enable fundamentally improvedprediction of Cloud Condensation Nuclei (CCN) in biomassburning smoke plumes

    10-X underprediction of CCN indicateslarge fraction of organics are watersoluble

    Before:

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    31

    Atmospheric Chemistry Modeling and Analysis Program

    Modeling studies using NASA satellite data.

    Modeling and analysis of NASA ground, airborne, and balloon

    data sets.

    Model development to improve atmosphere and climate change

    prediction.

    All of these studies are to advance the knowledge of the

    fundamental processes of the atmosphere and its interaction with

    the rest of the Earth Climate system.

    GMI Reproduces Ozone Observations inGMI Reproduces Ozone Observations in

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    GMI simulated ozone reproduces daily featuresGMI simulated ozone reproduces daily featuresseen by Auras Microwave Limb Sounder (MLS) inseen by Auras Microwave Limb Sounder (MLS) in

    thethe Lower StratosphereLower Stratosphere..

    The seasonal cycle variability of AuraThe seasonal cycle variability of Aura

    MLS O3 (shaded) is nearly matchedMLS O3 (shaded) is nearly matched

    by GMI (red cross-hatched) for 2005.by GMI (red cross-hatched) for 2005.

    Mean O3 values track each otherMean O3 values track each other

    faithfully (black, MLS; red GMI).faithfully (black, MLS; red GMI).

    GMI zonal mean column ofGMI zonal mean column ofTropospheriTroposphericc ozoneozone

    nearly matches the Auranearly matches the AuraTroposphericTroposphericcolumn,column,(i.e., the difference between the OMI total ozone(i.e., the difference between the OMI total ozone

    column and the stratospheric ozone columncolumn and the stratospheric ozone column

    from MLS).from MLS).

    GMI Reproduces Ozone Observations inGMI Reproduces Ozone Observations inboth the Stratosphere and Troposphereboth the Stratosphere and Troposphere

    DU

    DU

    J F M A M J J A S O N D

    OMI - MLS

    2005 GMI

    J F M A M J J A S O N D

    90

    60

    300

    -30

    -60

    -90

    90

    6030

    0

    -30

    -60

    -90

    Latitude

    75

    0

    75

    0

    DU

    DU

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    HIRDLS Cloud ExtinctionHIRDLS Cloud Extinction

    HIRDLS, Steve Massie NCAR

    April 2007

    cloud occurrenceNorthern Winter 2006

    cloud extinction

    Thin clouds are difficult to detect from space. The first

    comprehensive climatology of thin clouds has been

    developed with the HIRDLS limb viewing IR radiometer. Tropical thin cirrus are important in controlling climate

    change and water vapor in the the stratosphere. Polar Stratospheric Clouds (PSCs) are key players in

    spring polar ozone depletion.

    Comparisons with MLS relative humidity (RHI) andCALIPSO backscatter show good agreement.

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    Combining OMI and MODIS allows for:- better estimates of aerosol height- better estimates of aerosol absorption- ability to characterize aerosol

    absorption.

    0.92

    0.860.89

    The combination of OMI/MODIS dataenables the determination of singlescattering albedo at 388 nm over 3 dust

    regions during Jan 2006 with less certaintythan before combining sensors

    Satheesh et al., (2009) JGR

    idi l ( b i d

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    Aerosol optical depth

    Cloudfra

    ction

    All data

    Koren et al. (2008) Science

    At low AOD, increasing aerosol

    increases cloud fraction via a microphysical pathwayAt high AOD, increasing aerosol decreases cloud fraction via a radiative pathway.

    Davidi et al., (submitted toACP)

    MODIS AOD

    AIRSTemperature

    850 mb

    925 mb

    1000 mb

    Combining MODIS aerosol and cloud data with AIRS temperature profilesleads to a semi-quantitative understanding of aerosol-cloud interactions

    In upper boundary layer (850 mb)

    increasing aerosol increases temp(absorption)At surface (1000 mb) increasing aerosol decreases temperature (mostly from

    increasing cloudiness through microphysical pathway.)

    0 0.1 0.2 0.3 0.4 0.50.6

    AOD=0.2

    700 mb

    Note turning point at AOD =

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