1/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Aqua/MODIS and Parasol/POLDER3 Aqua/MODIS and Parasol/POLDER3 Observations of Clouds and Aerosols PropertiesObservations of Clouds and Aerosols Properties
Jérôme RiédiJérôme Riédi, Didier Tanré, Frédéric Parol, Jean-Luc Deuzé, Didier Tanré, Frédéric Parol, Jean-Luc Deuzéand the PARASOL science team.and the PARASOL science team.
Laboratoire d’Optique Atmosphérique, USTL, Lille, FranceLaboratoire d’Optique Atmosphérique, USTL, Lille, France
OUTLINEOUTLINEContextContext
Contribution from POLDER/ParasolContribution from POLDER/ParasolInstruments synergyInstruments synergy
Data and products availabilityData and products availability
2/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
ContextContext
3/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Instrumental Background : POLDERInstrumental Background : POLDER
– CNES/LOA instrument, Parasol launched Dec. 2004CNES/LOA instrument, Parasol launched Dec. 2004• ~ 705 km polar orbits, ascending (13:30 a.m.)~ 705 km polar orbits, ascending (13:30 a.m.)
– Sensor CharacteristicsSensor Characteristics• 10 spectral bands ranging from 0.443 to 1.020 µm10 spectral bands ranging from 0.443 to 1.020 µm• 3 polarised channels3 polarised channels• Wide FOV CCD Camera with 1800 km swath Wide FOV CCD Camera with 1800 km swath
widthwidth• +/- 43 degrees cross track+/- 43 degrees cross track• +/- 51degrees along track+/- 51degrees along track• Multidirectionnal observations (up to 16 Multidirectionnal observations (up to 16
directions)directions)• Spatial resolution : 6x7 kmSpatial resolution : 6x7 km• No onboard calibration system - Inflight vicarious No onboard calibration system - Inflight vicarious
calibration : calibration : – 2-3% absolute calibration accuracy2-3% absolute calibration accuracy– 1% interband – 0.1% interpixel over clouds1% interband – 0.1% interpixel over clouds
4/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Contribution of POLDER/PARASOL to the A-TrainContribution of POLDER/PARASOL to the A-Train1.5 year of POLDER3/Parasol data already available1.5 year of POLDER3/Parasol data already available
5/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Contribution of POLDER/Parasol to the A-TrainContribution of POLDER/Parasol to the A-TrainBenefits from multiangle observations : Application for cloudsBenefits from multiangle observations : Application for clouds
Cloud spherical albedo is retrieved under up to 16 directions Cloud spherical albedo is retrieved under up to 16 directions
Directional product provided at Directional product provided at = 670nm (land) and 865 nm (ocean)= 670nm (land) and 865 nm (ocean)
6/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Testing cloud models from multiangle observationTesting cloud models from multiangle observation
7/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Testing cloud models from multiangle observationTesting cloud models from multiangle observation
Sphere used for liquid clouds Sphere used for liquid clouds Sphere used for ice clouds Sphere used for ice clouds
8/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Testing cloud models from multiangle observationTesting cloud models from multiangle observation
9/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
But ... We have many other potential culprit for But ... We have many other potential culprit for deviation from Plane Parallel Modeldeviation from Plane Parallel Model
MODIS can help in removing or detecting MODIS can help in removing or detecting effects from particle size, subpixel variability, effects from particle size, subpixel variability,
etc... etc...
10/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Detection of small broken clouds / pixel heterogeneity within Parasol FOVDetection of small broken clouds / pixel heterogeneity within Parasol FOV
R : 2.1 µmG : 0.86 SDTVB : 0.86 µm
True color RGBMid Atlantique
MODIS Obs.
11/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Contribution of POLDER/Parasol to the A-TrainContribution of POLDER/Parasol to the A-TrainBenefits from multiangle observations : Application for aerosolsBenefits from multiangle observations : Application for aerosols
Over Ocean « Cases 1-2-3 »Over Ocean « Cases 1-2-3 »
AccAcc
AccAcc rrAccAcc, m, mAccAcc, , AccAcc rrAccAcc, m, mAccAcc, m, mcoarsecoarse, ,
NSINSI nsns//cscs++cnscns))
GLINTGLINTWestWest EastEast
13 views of the same 13 views of the same targettarget
(Herman et al., J.G.R. 2005)(Herman et al., J.G.R. 2005)
12/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Contribution of POLDER/Parasol to the A-TrainContribution of POLDER/Parasol to the A-TrainBenefits from polarization observations : Application for cloudsBenefits from polarization observations : Application for clouds
Riedi et alRiedi et al Bréon, Chepfer et alBréon, Chepfer et al
Cloud PhaseCloud Phase Cloud microphysicsCloud microphysics
13/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Contribution of POLDER/Parasol to the A-TrainContribution of POLDER/Parasol to the A-TrainBenefits from polarization observations : Application for aerosolsBenefits from polarization observations : Application for aerosols
Clear atmosphere (AOT=0.03) : the reflectance Clear atmosphere (AOT=0.03) : the reflectance at TAO is close to the surface valuesat TAO is close to the surface values
AEROSOLAEROSOL
Illustration for Biomass Burning Aerosols (from POLDER2)Illustration for Biomass Burning Aerosols (from POLDER2)
Hazy atmosphere (AOT=0.31) : Hazy atmosphere (AOT=0.31) : large aerosol contributionlarge aerosol contribution
14/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Contribution of POLDER/Parasol to the A-TrainContribution of POLDER/Parasol to the A-TrainBenefits from polarization observations : Application for aerosolsBenefits from polarization observations : Application for aerosols
Clear atmosphere (AOT=0.08) : Clear atmosphere (AOT=0.08) : the reflectance at TAO is again the reflectance at TAO is again
close to the surface valuesclose to the surface values
Illustration for Desert Aerosols (POLDER2)Illustration for Desert Aerosols (POLDER2)
Hazy atmosphere (AOT=0.71) : Hazy atmosphere (AOT=0.71) : no aerosol contributionno aerosol contribution
15
Colloque Bilan/Prospective Programme National de Télédétection Spatiale 18-20 Avril 2005 - Orléans
Discrimination between spherical and non-spherical aerosolsDiscrimination between spherical and non-spherical aerosols
Deuzé, Herman et alDeuzé, Herman et al
Contribution of POLDER/Parasol to the A-TrainContribution of POLDER/Parasol to the A-TrainBenefits from polarization observations : Application for aerosolsBenefits from polarization observations : Application for aerosols
16/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Potential Synergy for CloudsPotential Synergy for Clouds
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice)bright surfaces : desert, snow/ice)
Cloud layers heightCloud layers heightDeriving multiple cloud top pressure (O2, Rayleigh, CO2 slicing, H20) to detect Deriving multiple cloud top pressure (O2, Rayleigh, CO2 slicing, H20) to detect multilayer clouds and better describe vertical structure multilayer clouds and better describe vertical structure
Cloud thermodynamic phaseCloud thermodynamic phaseCombination of information on particle shape and absorption properties help Combination of information on particle shape and absorption properties help
Improved cloud retrievalsImproved cloud retrievalsex : ex : Using Size retrieval from MODIS to improve multidirectionnal OT retrievals from Using Size retrieval from MODIS to improve multidirectionnal OT retrievals from POLDERPOLDER
Cloud HeterogeneitiesCloud HeterogeneitiesUsing MODIS 250m information to understand angular behavior in POLDER Using MODIS 250m information to understand angular behavior in POLDER measurements and separate 3D effect from subpixel heterogeneitiesmeasurements and separate 3D effect from subpixel heterogeneities
17/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud thermodynamic phaseCloud thermodynamic phaseCombination of information on particle shape and absorption properties Combination of information on particle shape and absorption properties
BasisBasis
PolarizationPolarization (Riedi et al) (Riedi et al)mostly single scattering mostly single scattering sensitive to particle shapesensitive to particle shapeTop of cloud but see through it if very thinTop of cloud but see through it if very thin
SWIR (Platnick et al)SWIR (Platnick et al)Differential Water/Ice Absorption Differential Water/Ice Absorption sensitive to particle sizesensitive to particle sizeSome depth in the cloudSome depth in the cloud
Thermal IR (Baum et al)Thermal IR (Baum et al)Diff. Water/Ice, Diff. Water/Ice, also sensitive to surf. emissivity, H2Oalso sensitive to surf. emissivity, H2OSome depth in the cloud except thin cirrusSome depth in the cloud except thin cirrus
Cirrus ? Thin ?Cirrus ? Thin ?
Water ? Mixed ?Water ? Mixed ?
H2O ?H2O ?
Surface spectral albedo ?Surface spectral albedo ?
18/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud thermodynamic phaseCloud thermodynamic phase
LIQUIDLIQUIDICEICE
Scattering AngleScattering AngleTyphoon NabiTyphoon Nabi2 Sept. 20052 Sept. 2005
19/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud thermodynamic phaseCloud thermodynamic phase
LIQUIDLIQUIDICEICE
Scattering AngleScattering AngleTyphoon NabiTyphoon Nabi2 Sept. 20052 Sept. 2005
20/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud thermodynamic phaseCloud thermodynamic phase
SWIR + VIS SWIR + VIS RGB Composite RGB Composite (MODIS bands 1, 2 and 7)(MODIS bands 1, 2 and 7)
BTD 8 – 11 µmBTD 8 – 11 µm
- 6- 6 + 6+ 6
Typhoon NabiTyphoon Nabi2 Sept. 20052 Sept. 2005
21/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud thermodynamic phaseCloud thermodynamic phaseCombination of information on particle shape and absorption properties help Combination of information on particle shape and absorption properties help
ICEICE LIQUIDLIQUIDUNKOWNUNKOWN
POLARIZATIONPOLARIZATION SWIR/VIS RatioSWIR/VIS Ratio IR BispectralIR Bispectral
22/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud thermodynamic phaseCloud thermodynamic phase
ICEICE
LIQUIDLIQUID
MIXEDMIXED
Results from the combined Results from the combined POLDER/MODIS phase POLDER/MODIS phase algorithmalgorithm
23/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud layers heightCloud layers heightDeriving multiple cloud top pressure (ODeriving multiple cloud top pressure (O22, Rayleigh, CO, Rayleigh, CO22 slicing) to detect multilayer slicing) to detect multilayer clouds and better describe vertical structure clouds and better describe vertical structure
Basis Basis We do expect differences in pressure due to resp. sensitivities and we also expect We do expect differences in pressure due to resp. sensitivities and we also expect increasing differences in case of multilayer situationsincreasing differences in case of multilayer situations
COCO22
OO22
RayleighRayleigh
Single LayerSingle Layer Two LayersTwo Layers
COCO22RayleighRayleigh
OO22
OO22 : Oxygen band differential absorption : Oxygen band differential absorptionRayleigh : Polarization Rayleigh Scattering absorptionRayleigh : Polarization Rayleigh Scattering absorption
COCO22 : CO : CO22 Slicing (IR) Slicing (IR)
24/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud layers heightCloud layers heightDeriving multiple cloud top pressure (ODeriving multiple cloud top pressure (O22, Rayleigh, CO, Rayleigh, CO22 slicing) to detect multilayer slicing) to detect multilayer clouds and better describe vertical structure clouds and better describe vertical structure
Example of retrieved Cloud Top Pressure Histograms for Ice cloudsExample of retrieved Cloud Top Pressure Histograms for Ice clouds
25/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
PARASOL and CALIOP Cloud Top Pressure PARASOL and CALIOP Cloud Top Pressure Preliminary ComparisonPreliminary Comparison
15 June 200615 June 2006POLDER Cloud Cover > 95% POLDER Cloud Cover > 95% CALIOP Alt. Stdev < 0.5 kmCALIOP Alt. Stdev < 0.5 km
26/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
PARASOL and CALIOP Cloud Top Pressure PARASOL and CALIOP Cloud Top Pressure Preliminary ComparisonPreliminary Comparison
15 June 200615 June 2006POLDER Cloud Cover > 95% POLDER Cloud Cover > 95% CALIOP Alt. Stdev < 0.5 kmCALIOP Alt. Stdev < 0.5 km
27/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Example : aerosols over cloudExample : aerosols over cloud
24 Septembre 200524 Septembre 2005
28/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Example : aerosols over cloudExample : aerosols over cloud
OO22 Pressure Pressure Rayleigh P.Rayleigh P. COCO22 Pressure Pressure
Usually with single layer : Usually with single layer : OO22 > Rayleigh > CO > Rayleigh > CO22 with small differences with small differences
And here we have : And here we have : OO22 > CO > CO22 >> Rayleigh >> Rayleigh due to presence of aerosol in due to presence of aerosol in the upper layerthe upper layer
100 hPa100 hPa
1000 hPa1000 hPa
29/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
POLDER3/Parasol Products availabilityPOLDER3/Parasol Products availability
Data available since March 2005. Data available since March 2005.
Level1 : calibrated georeferenced dataLevel1 : calibrated georeferenced dataLevel2 : daily products – one file per orbit swathLevel2 : daily products – one file per orbit swathLevel3 : monthly products Level3 : monthly products Joint Atmosphere product (selected daily and monthly products)Joint Atmosphere product (selected daily and monthly products)
Data processed with collection 2 algorithms (Data processed with collection 2 algorithms (heritage from heritage from POLDER1 and POLDER2 missionPOLDER1 and POLDER2 mission))
L1 data and products (also including MODIS/Aqua, Caliop, ...) L1 data and products (also including MODIS/Aqua, Caliop, ...) available online from the ICARE data center available online from the ICARE data center
http://www.icare.univ-lille1.fr/http://www.icare.univ-lille1.fr/
30/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
SummarySummary
PARASOL/MODIS combination is a real opportunity to improve many PARASOL/MODIS combination is a real opportunity to improve many existing parameters and can help design a next generation sensorexisting parameters and can help design a next generation sensor
PARASOL/MODIS open perspectives to extend the active sensors PARASOL/MODIS open perspectives to extend the active sensors observation to the full swath, increasing statisticsobservation to the full swath, increasing statistics
PARASOL/MODIS offer a test suite for definition of future cloud/aerosol PARASOL/MODIS offer a test suite for definition of future cloud/aerosol missionsmissions
1.5 year of POLDER3/Parasol data are available through the ICARE data 1.5 year of POLDER3/Parasol data are available through the ICARE data center : center : http://www.icare.univ-lille1.fr/http://www.icare.univ-lille1.fr/
Get involved : we provide users with POLDER/MODIS joint dataset and Get involved : we provide users with POLDER/MODIS joint dataset and software to merge data and try ideas.software to merge data and try ideas.
31/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Additional Material for DiscussionAdditional Material for Discussion
Cloud detectionCloud detection
32/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice)bright surfaces : desert, snow/ice)
BasisBasis
MODIS multispectral total reflectance measurements are not always sufficient to perform MODIS multispectral total reflectance measurements are not always sufficient to perform perfectly under all conditionsperfectly under all conditions- hard time under glint condition, heavy smoke/dust, snow/ice surface, ...- hard time under glint condition, heavy smoke/dust, snow/ice surface, ...
POLDER can also get into troubles due to lower resolution and limited spectral rangePOLDER can also get into troubles due to lower resolution and limited spectral range- hard time with thin cirrus, low broken clouds, snow/ice surface, ...- hard time with thin cirrus, low broken clouds, snow/ice surface, ...
Taken advantages of the combined high resolution, multispectral, multiangle and Taken advantages of the combined high resolution, multispectral, multiangle and polarisation measurement increases greatly the chance to get a correct cloud detection polarisation measurement increases greatly the chance to get a correct cloud detection (though you're still stuck in the mud when you need to settle on the definition of a cloud)(though you're still stuck in the mud when you need to settle on the definition of a cloud)
33/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice). Even worse when mixture of those ...surfaces : desert, snow/ice). Even worse when mixture of those ...
Example : Glint/DustExample : Glint/Dust
DustDust
A2005.249.1330A2005.249.1330
34/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice). Even worse when mixture of those ...surfaces : desert, snow/ice). Even worse when mixture of those ...
Example : Glint/DustExample : Glint/Dust
GlintGlint
Conf. ClearConf. Clear
Prob. ClearProb. Clear
Prob.. CloudProb.. Cloud
Conf.. CloudConf.. Cloud
MODIS MYD35 Col. 5 MODIS MYD35 Col. 5
A2005.249.1330A2005.249.1330
35/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice). Even worse when mixture of those ...surfaces : desert, snow/ice). Even worse when mixture of those ...
Example : Glint/Dust : Example : Glint/Dust :
Aerosol detection is easier when looking off glint which is always possible with POLDERAerosol detection is easier when looking off glint which is always possible with POLDER
heavy aerosolheavy aerosol clearclear more or less conf. cloudymore or less conf. cloudy
36/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Example : Smoke over land mixed with cloudsExample : Smoke over land mixed with clouds
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice). Even worse when mixture of those ...surfaces : desert, snow/ice). Even worse when mixture of those ...
37/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Pol
aris
atio
n R
GB
Pol
aris
atio
n R
GB
Tot
al R
efle
ct. R
GB
Tot
al R
efle
ct. R
GB
38/30
MODIS/Aqua and PARASOL Observation of Clouds and Aerosols PropertiesMODIS/Aqua and PARASOL Observation of Clouds and Aerosols Properties MODIS Sci. Team Meeting Oct. 2006MODIS Sci. Team Meeting Oct. 2006
Example : Smoke over land Example : Smoke over land mixed with cloudsmixed with clouds
Cloud detectionCloud detectionCloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright Cloud detection can be tricky under many circumstances (heavy aerosol loading, glint, bright surfaces : desert, snow/ice). Even worse when mixture of those ...surfaces : desert, snow/ice). Even worse when mixture of those ...
heavy aerosolheavy aerosol clearclear more or less conf. cloudymore or less conf. cloudy