Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol...

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Remote sensing from POLDER/PARASOL Earth polar-orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok, F. Ducos, D. Tanre Laboratoire d'Optique Atmosphérique, CNRS, Universite Lille-1, FRANCE

Transcript of Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol...

Page 1: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Remote sensing from POLDER/PARASOL Earth polar-

orbiting satellite: enhanced Surface/Aerosol properties retrieval

P. Litvinov, O. Dubovik, T. Lapyonok, F. Ducos, D. Tanre

Laboratoire d'Optique Atmosphérique, CNRS, Universite Lille-1, FRANCE

Page 2: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Helsinki, August 19-21, 2013

Advanced retrieval algorithm

Multi-spectral, multi-angle I, Q, U

measurements

Aerosol model Surface reflection model

Enhanced retrieval of Aerosol/Surface properties

AOD, Re(m), Im(m), Size distribution, fraction of spherical particles, surface parameters etc.

Enhanced space-borne Aerosol/Surface retrieval

Page 3: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Reflection matrix for coupled atmosphere-surface system

Helsinki, August 19-21, 2013

I 0v

v 0

0

exp , expcos cosaer mol aer mol

v

t t

Aerosol and surface properties should be retrieved simultaneously!

0 0cos

Page 4: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

““independentindependent”” POLDER/PARASOL POLDER/PARASOL

measurements :measurements :

VIEWS: N 16: (800 ≤ ≤ 1800)

INTENSITY (I): Nt6 (for aerosol): (0.44, 0.49, 0.56, 0.67, 0.865, 1.02 m)

Nt (for gas absorption): (0.763, 0.765, 0.910 m)

POLARIZATION (Q, U): NP3: (0.49, 0.67, 0.865 m)

SINGLE OBSERVATION:

NtNP

×N= (6+3)×16= 144

a lot !!! – as much as AERONET

Helsinki, August 19-21, 2013

Page 5: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

PARASOL daily coverage image, March 3, 2013

Helsinki, August 19-21, 2013

Swath: about 1600 km cross-track Global coverage: every 2 days 1 pixel spatial resolution: 5.3km × 6.2km

Page 6: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

New POLDER/PARASOL algorithm (GRASP) ((Dubovik et al, AMT, 2011))

• The new algorithm uses complete set of PARASOL angular measurements in all spectral bands including both radiance and linear polarization measurements.

• Continuous space of aerosol and surface properties is used.

• The algorithm is based on statistically optimized fitting.

The core of the new PARASOL algorithm is based on the same concept as AERONET aerosol retrieval (O. Dubovik and M. King, 2000; O. Dubovik, 2004; O. Dubovik et al, 2006).

Helsinki, August 19-21, 2013

Page 7: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

The concept of the GRASP algorithm

Two scenarios of retrieval (Dubovik et al., AMT, 2011):

-Conventional: single-pixel retrieval (each single pixel is inverted independently)

-New concept: multiple-pixel retrieval (group of pixels are inverted simultaneously)

Bern, July 15-19, 2013

Page 8: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Aerosol model

Helsinki, August 19-21, 2013

retrieved

C + (1-C)

Aerosol model is the same as in AERONET retrieval (Mixing of particle shapes (Dubovik et al., 2006))

Page 9: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Surface reflection model

Helsinki, August 19-21, 2013

• Semi-empirical models for surface total reflectance description:- RPV model (Rahman et al., (1993))- Ross-Li (Ross, (1981); Li, X., Strahler (1992))- Ross-Roujean model (Roujean et al., (1992))

• Semi-empirical models for surface polarized reflectance description:- Nadal-Breon model (Nadal and Bréon, (1999))- Maignan model (Maignan et al., (2009))- Fresnel facet model for Gaussian surfaces (Litvinov et al., 2011)

• Physically based models for reflection matrix for surfaces:- Cox-Munk model (for aerosol retrieval over ocean)- Physical models for land surface reflection matrix

(Litvinov et al., 2012)

Page 10: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Bern, July 15-19, 2013 10

Perfect retrieval of synthetic measurements!!!

Page 11: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Comparison with AERONET

Bern, July 15-19, 2013 11

Banizoumbou

Mongu

Kanpur

Banizoumbou: January, February, 2008 Surface: Grassland. Aerosol: Coarse mode is dominated.

Mongu: August, September, 2008 Surface: Savanna. Aerosol: Fine mode is dominated.

Beijing: April, December, 2008 Surface: Urban. Aerosol: Fine and Coarse modes.

Kanpur: October-December, 2008 Surface: Urban. Aerosol: Fine and Coarse modes.

The IGBP (International Geosphere Biosphere Programme) land type specification was used

Beiging

Page 12: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Bern, July 15-19, 2013

POLDER/AERONET. AOD.

St.Dev.=0.160St.Dev.=0.128

Page 13: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

POLDER/AERONET.Angstrom Exponent.

Bern, July 15-19, 2013

St.Dev.=0.262

Page 14: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

POLDER/AERONET. SSA.

Bern, July 15-19, 2013

St.Dev.=0.045

St.Dev.=0.051

Page 15: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Bern, July 15-19, 2013 15

DHR retrieval, Banizoumbou, 2007, 2008.

Black curves and markers: DHR in 2007.

Color curves and markers: DHR in 2008

There are possibilities for surface climatology and surface changes monitoring!!!

Page 16: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Surface modeling effect on aerosol retrieval.AOD retrieval over Banizoumbou, Mongu.

Bern, July 15-19, 2013 16

Page 17: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Surface modeling effect on aerosol retrieval.SSA retrieval over Banizoumbou, Mongu

Bern, July 15-19, 2013 17Physical models are required to increase accuracy of aerosol retrieval.

Page 18: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

I,Q,U retrieval vs I-retrieval: total reflectance fits

Helsinki, August 19-21, 2013

Page 19: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

I,Q,U retrieval vs I-retrieval: polarized reflectance fits

Helsinki, August 19-21, 2013

Page 20: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

I,Q,U retrieval vs I-retrieval retrieval: AOD (Banizoumbou)

Helsinki, August 19-21, 2013

I,Q,UI-retrieval

Page 21: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

I,Q,U retrieval vs I-retrieval retrieval: SSA (Banizoumbou)

Helsinki, August 19-21, 2013

I,Q,UI-retrieval

Page 22: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Multi-pixel vs Single pixel retrieval: AOD (Banizoumbou)

Helsinki, August 19-21, 2013

Multi-pixel Single pixel

Page 23: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Multi-pixel vs Single pixel retrieval: SSA (Banizoumbou)

Helsinki, August 19-21, 2013

Multi-pixel Single pixel

Page 24: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Regional maps (1800 x 1800 km).Banizoumbou, AOD 670 nm

Helsinki, August 19-21, 2013

Strong spatial and temporal variation of AOD

Page 25: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Regional maps (1800 x 1800 km).Banizoumbou, SSA 670 nm

Helsinki, August 19-21, 2013

Essential temporal variation of SSA

Page 26: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Daily variation of AOD and SSA at 670 nm. Banizoumbou (Jan., Febr. 2008).

Helsinki, August 19-21, 2013

21.02.2008

23.02.2008

Page 27: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Regional maps (1800 x 1800 km).Banizoumbou, SALB 670 nm

Bern, July 15-19, 2013 Surface is very stable for Jan. and Febr.!

Page 28: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Regional maps (1800 x 1800 km).Mongu, SSA 670 nm

Helsinki, August 19-21, 2013

Small SSA correspond to biomass burning

NASA Global Fire Maps28.08.2008 – 06.09.2008

(detected by MODIS)

Page 29: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Helsinki, August 19-21, 2013

Advanced retrieval Algorithm

- LOA (Lille, France) GRASP algorithm (O.Dubovik et al, AMT, 2011).- SRON (Utrecht, The Netherlands) algorithm (O.Hasekamp et al, JGR, 2012)

Multi-spectral, multi-angle I, Q, U

measurementsPARASOL will end up in September 2013. There may be 7 years gap in polarimetric space-borne measurements!!!

Aerosol modelAt present time the mixture of spherical and spheroidal particles is the most comprehensive existent aerosol model (Dubovik et al., 2006).

Surface reflection model- Physical models are required to increase accuracy of aerosol retrieval over land. - Physical models provide possibilities for surface characterization (Litvinov et al., 2012).

Enhanced retrieval of Aerosol/Surface

properties

Resume (space-borne Aerosol/Surface retrieval)

Page 30: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Helsinki, August 19-21, 2013

• Multi-spectral, multi-angle I, Q, U space-borne measurements:- PARASOL will end up in September 2013! - 3MI will be launched in 2020 (?).- Ukrainian version of GISS NASA APS (Aerosol Polarimetry Sensor) instrument may be launched in 3 years (the possibility to set up Dutch SPEX instrument on the same satellite is being discussed now).There may be 7 years gap in polarimetric space-borne measurements!!!

• Advanced retrieval algorithm:- LOA (Lille, France) GRASP algorithm (O.Dubovik et al, AMT, 2011)- SRON (Utrecht, The Netherlands) algorithm (O.Hasekamp et al, JGR, 2012)

Page 31: Remote sensing from POLDER/PARASOL Earth polar- orbiting satellite: enhanced Surface/Aerosol properties retrieval P. Litvinov, O. Dubovik, T. Lapyonok,

Helsinki, August 19-21, 2013

• Aerosol model:At present time the mixture of spherical and spheroidal particles is the most comprehensive existent aerosol model (Dubovik et al., 2006).

• Surface reflection model- Physical models are required to increase accuracy of aerosol retrieval over land (Litvinov et al., 2011; Litvinov et al., 2012). - Physical models provide possibilities for surface characterization (Litvinov et al., 2012).