oc3522summer 2001 oc3522 - remote sensing of the atmosphere and ocean - summer 2001 scattering by...

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OC3522 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Summer 2001 Scattering by Clouds & Applications Scattering by Clouds & Applications

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Page 1: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

OC3522OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001Summer 2001

Scattering by Clouds & ApplicationsScattering by Clouds & Applications

Page 2: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

Clouds droplets form when air parcels reach critical supersaturation (RH>100%) and water vapor condenses on aerosol particles, growing them to large enough sizes where vapor continues to condense.

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1995/0129mb08.jpg

This allows droplets to grow to sizes that are on the order of 100 times larger than aerosol particles.

The change in particle cross-section (r2) then increases by a factor of 104 !

Page 3: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

10-2

10-1

100

101

102

103

103

4

3

2

1

101

10-1

10-3

0.02

0.06

0.04

Radius (m)0.1 1.0 10.0

r2

Qs

n(r)

ds/dr = r2 Qs n(r)

10-2

10-1

100

101

102

103

103

4

3

2

1

101

10-1

10-3

2

6

4

Radius (m)0.1 1.0 10.0

Cloud Droplets

No Color Separation

Page 4: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

Why does a cloud appear white in visible imagery?

In VIS - cloud droplets are geometric scatterers - Qs ~ 2; s ~ 0.1m-1

The distribution of cloud droplet sizes with large values of = 2r/s, all are scattered equally

Page 5: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

This increase in s results in cloud optical depths between about 10 and 80.

Therefore the forward RT problem relies on a very complicated path radiance term:

Lt(λ,Θ,Φ) = L0(λ,Θ,Φ)e-δ(λ)/μ +γs(r,r',λ,X)L(r',λ,X)dΩ

4π∫

σ e(λ,z)e-δ(λ,z)/μ

0

δ(λ)

∫ dδμ

Since the radiance from all directions is required.

Path radiance

Page 6: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

The composition of clouds (liquid water or ice crystals) controls the potential for absorption as solar photons transfer through a cloudy atmosphere. The single scatter albedo (0) describes this potential and is determined by the imaginary index of refraction:

Page 7: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

The physical attributes of a cloud that control reflectance then includes:

Page 8: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

CLOUD TYPESWhen clouds are present: indicator of presence of moisture and cooling mechanisms

cause of cooling: - upward motion, radiative cooling, advection

Categories of clouds: 1) Low level (< 3 km)

2) Middle Level (3-7km) 3) High Level (7-12km)

4) Precipitating cloud: Nimbus

Page 9: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications
Page 10: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

Current Western US - 1kmCurrent GOES-10 Full Disk

Information available in Visible Imagery:

Brightness

DARK BRIGHT

Ocean

Land

Snow/Ice

Cumulonimbus

Cumulus

Stratus/StratocumulusCirrus

Locale

Texture

Cu Ci St, Cb

Climate Zones Seasons others… Synoptic Weather PersistenceDiurnal Cycles Surface Observations

Shadows

Page 11: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

altostratus

Examples from Euromet satellite meteorology page

stratus cumulonimbus cirrus

VIS

IR

IR

VIS

stratocumulus

Page 12: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

Threshold value is chosen at which anything brighter or colder - pixel is a cloud used in SST analysis

Problems with this method

Histogram shows clusters of values that represent surface or clouds

Pattern Recognition use of area means and standard

Cloud detection & Classification

Spatial coherence

Page 13: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1991/0120mb04.jpghttp://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1995/0205mb12.jpg

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1996/0731jd24.jpg http://www.cira.colostate.edu/

Page 14: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1991/0120mb01.jpghttp://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1995/0129mb08.jpg

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1996/0731jd09.jpghttp://www.orbimage.com/main/imgweek/highsnow01_99_2ns.jpg

Page 15: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1995/0415jd01.jpg

http://earth.jsc.nasa.gov/lores.cgi?PHOTO=STS043-076-061

Page 16: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

http://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1996/0731jd23.jpghttp://atmos.es.mq.edu.au/AMOS/weatherwatch/photos/1996/0731jd38.jpg

Page 17: OC3522Summer 2001 OC3522 - Remote Sensing of the Atmosphere and Ocean - Summer 2001 Scattering by Clouds & Applications

Hurricane MitchHurricane Mitch

http://rsd.gsfc.nasa.gov/rsd/images/Mitch/mitch3_lg.jpg