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

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. Enhanced space-borne Aerosol/Surface retrieval.

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

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  1. 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

  2. Enhanced space-borne Aerosol/Surface retrieval Multi-spectral, multi-angle I, Q, U measurements Advanced retrieval algorithm Enhanced retrieval of Aerosol/Surface properties AOD, Re(m), Im(m), Size distribution, fraction of spherical particles, surface parameters etc. Surface reflection model Aerosol model Helsinki, August 19-21, 2013

  3. Reflection matrix for coupled atmosphere-surface system Aerosol and surface properties should be retrieved simultaneously! Helsinki, August 19-21, 2013

  4. “independent” POLDER/PARASOL measurements : • VIEWS:NQ= 16: (800 ≤ Q ≤ 1800) • INTENSITY (I): Ntl=6 (for aerosol): (0.44, 0.49, 0.56, 0.67, 0.865, 1.02 mm) • Ntl=3 (for gas absorption): (0.763, 0.765, 0.910 mm) • POLARIZATION (Q, U): NPl=3: (0.49, 0.67, 0.865 mm) • SINGLE OBSERVATION: • (Ntl+NPl)×NQ= (6+3)×16= 144 a lot !!! – as much as AERONET Helsinki, August 19-21, 2013

  5. PARASOL daily coverage image, March 3, 2013 Swath: about 1600 km cross-track Global coverage:every 2 days 1 pixel spatial resolution:5.3km × 6.2km Helsinki, August 19-21, 2013

  6. 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

  7. 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

  8. Aerosol model Aerosol model is the same as in AERONET retrieval (Mixing of particle shapes (Dubovik et al., 2006)) retrieved C  + (1-C)  Helsinki, August 19-21, 2013

  9. Surface reflection model • Semi-empiricalmodels for surface total reflectance description: • RPV model (Rahman et al., (1993)) • Ross-Li (Ross, (1981); Li, X., Strahler (1992)) • Ross-Roujean model (Roujeanet al., (1992)) • Semi-empirical modelsfor 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 modelsforreflection matrix for surfaces: • Cox-Munk model (for aerosol retrieval over ocean) • Physical models for land surface reflection matrix (Litvinov et al., 2012) Helsinki, August 19-21, 2013

  10. Perfect retrieval of synthetic measurements!!! Bern, July 15-19, 2013

  11. Comparison with AERONET Beiging Kanpur Banizoumbou Mongu 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 Bern, July 15-19, 2013

  12. POLDER/AERONET. AOD. St.Dev.=0.160 St.Dev.=0.128 Bern, July 15-19, 2013

  13. POLDER/AERONET.Angstrom Exponent. St.Dev.=0.262 Bern, July 15-19, 2013

  14. POLDER/AERONET.SSA. St.Dev.=0.045 St.Dev.=0.051 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!!! Bern, July 15-19, 2013

  16. Surface modeling effect on aerosol retrieval.AODretrieval over Banizoumbou, Mongu. Bern, July 15-19, 2013

  17. Surface modeling effect on aerosol retrieval.SSAretrieval over Banizoumbou, Mongu Physical models are required to increase accuracy of aerosol retrieval. Bern, July 15-19, 2013

  18. I,Q,U retrieval vs I-retrieval:total reflectance fits Helsinki, August 19-21, 2013

  19. I,Q,U retrieval vs I-retrieval: polarized reflectance fits Helsinki, August 19-21, 2013

  20. I,Q,U retrieval vs I-retrieval retrieval: AOD (Banizoumbou) I-retrieval I,Q,U Helsinki, August 19-21, 2013

  21. I,Q,U retrieval vs I-retrieval retrieval: SSA (Banizoumbou) I,Q,U I-retrieval Helsinki, August 19-21, 2013

  22. Multi-pixel vs Single pixel retrieval: AOD (Banizoumbou) Multi-pixel Single pixel Helsinki, August 19-21, 2013

  23. Multi-pixel vs Single pixel retrieval: SSA (Banizoumbou) Multi-pixel Single pixel Helsinki, August 19-21, 2013

  24. Regional maps (1800 x 1800 km).Banizoumbou, AOD 670 nm Strong spatial and temporal variation of AOD Helsinki, August 19-21, 2013

  25. Regional maps (1800 x 1800 km).Banizoumbou, SSA 670 nm Essential temporal variation of SSA Helsinki, August 19-21, 2013

  26. Daily variation of AODand SSA at 670 nm. Banizoumbou (Jan., Febr. 2008). 21.02.2008 23.02.2008 Helsinki, August 19-21, 2013

  27. Regional maps (1800 x 1800 km).Banizoumbou, SALB 670 nm Surface is very stable for Jan. and Febr.! Bern, July 15-19, 2013

  28. Regional maps (1800 x 1800 km).Mongu, SSA 670 nm NASA Global Fire Maps 28.08.2008 – 06.09.2008 (detected by MODIS) Small SSA correspond to biomass burning Helsinki, August 19-21, 2013

  29. Resume (space-borne Aerosol/Surface retrieval) Multi-spectral, multi-angle I, Q, U measurements PARASOL will end up in September 2013. 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) Enhanced retrieval of Aerosol/Surface properties Aerosolmodel At present time the mixture of spherical and spheroidal particles is the most comprehensive existent aerosol model (Dubovik et al., 2006). Surface reflectionmodel - Physical models are required to increase accuracy of aerosol retrieval over land. - Physical models provide possibilities for surface characterization (Litvinov et al., 2012). Helsinki, August 19-21, 2013

  30. 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) Helsinki, August 19-21, 2013

  31. 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). Helsinki, August 19-21, 2013

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