MODIS/Meteosat/MISR Surface Albedo Comparison Exercise B. Pinty (1), M. Taberner (1), S. Liang (2), Y. Govaerts (3), J.V. Martonchik (4), Lattanzio (5),

Slides:



Advertisements
Similar presentations
Robin Hogan, Richard Allan, Nicky Chalmers, Thorwald Stein, Julien Delanoë University of Reading How accurate are the radiative properties of ice clouds.
Advertisements

Robin Hogan and Jon Shonk Implementation of multiple regions in Edwards-Slingo.
The retrieval of snow properties from space: theory and applications A. A. Kokhanovsky 1, M. Tedesco 2,3, G. Heygster 1, M. Schreier 1, E. P. Zege 4 1)University.
A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.
Xiaolei Niu and R. T. Pinker Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Radiative Flux Estimates from.
Satellite Observations of Clouds and the Earth Radiation Budget over Snow: The Importance of Surface Roughness Stephen R. Hudson Other collaborators: Richard.
GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.
Exploitation of MODIS and MISR Surface Albedos in Support of SVAT Models LANDFLUX meeting, Toulouse, May 28-31, 2007 JRC – Ispra Bernard Pinty, T. Lavergne,
Optimal Retrieval of Vegetation Canopy Characteristics Using Operational MODIS and MISR Surface Albedo Products LMD, Paris, October 5, 2007 JRC – Ispra.
Liang APEIS Capacity Building Workshop on Integrated Environmental Monitoring of Asia-Pacific Region September 2002, Beijing,, China Atmospheric.
Atmospheric effect in the solar spectrum
Quantifying aerosol direct radiative effect with MISR observations Yang Chen, Qinbin Li, Ralph Kahn Jet Propulsion Laboratory California Institute of Technology,
The Averaging Kernel of CO2 Column Measurements by the Orbiting Carbon Observatory (OCO), Its Use in Inverse Modeling, and Comparisons to AIRS, SCIAMACHY,
METO 621 Lesson 13. Separation of the radiation field into orders of scattering If the source function is known then we may integrate the radiative transfer.
METO 621 Lesson 12. Prototype problems in Radiative Transfer Theory We will now study a number of standard radiative transfer problems. Each problem assumes.
Recent Advances in Land Surface Albedo Generation from European Satellite Sensors (POLDER, MSG, VEGETATION) O. HAUTECOEUR, D. CARRER, J.-L. ROUJEAN, B.
Reflected Solar Radiative Kernels And Applications Zhonghai Jin Constantine Loukachine Bruce Wielicki Xu Liu SSAI, Inc. / NASA Langley research Center.
The IOCCG Atmospheric Correction Working Group Status Report The Eighth IOCCG Committee Meeting Department of Animal Biology and Genetics University.
Accent Plus Symposium, Urbino, Italy, Sep2013 Observations of Enhanced Black Carbon radiative forcing over an Urban Environment A.S.Panicker, G.
Spatially Complete Global Surface Albedos Derived from MODIS Data
Ocean Color Radiometer Measurements of Long Island Sound Coastal Observational platform (LISCO): Comparisons with Satellite Data & Assessments of Uncertainties.
Soe Hlaing *, Alex Gilerson, Samir Ahmed Optical Remote Sensing Laboratory, NOAA-CREST The City College of the City University of New York 1 A Bidirectional.
The MEaSUREs PAR Project Robert Frouin Scripps Institution of Oceanography La Jolla, CA _______________________________________ OCRT Meeting, 4-6 may 2009,
Generating fine resolution leaf area index maps for boreal forests of Finland Janne Heiskanen, Miina Rautiainen, Lauri Korhonen,
AGU 2002 Fall Meeting NASA Langley Research Center / Atmospheric Sciences Validation of GOES-8 Derived Cloud Properties Over the Southeastern Pacific J.
 Introduction  Surface Albedo  Albedo on different surfaces  Seasonal change in albedo  Aerosol radiative forcing  Spectrometer (measure the surface.
Dr. North Larsen, Lockheed Martin IS&S Dr. Knut Stamnes, Stevens Institute Technology Use of Shadows to Retrieve Water Vapor in Hazy Atmospheres Dr. North.
Clear sky Net Surface Radiative Fluxes over Rugged Terrain from Satellite Measurements Tianxing Wang Guangjian Yan
MODIS Anisotropy and Albedo Product Crystal Schaaf Alan Strahler, Jicheng Liu, Ziti Jiao, Yanmin Shuai, Miguel Roman, Qingling Zhang, Zhuosen Wang Boston.
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
BSRN Validation for GEWEX/ISCCP R. T. Pinker Department of Meteorology University of Maryland College Park, MD CEOS/WGCV Land Product Validation Workshop.
“Surface Reflectance over Land in Collection 6” Eric Vermote NASA/GSFC Code 619
14 ARM Science Team Meeting, Albuquerque, NM, March 21-26, 2004 Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada Natural.
R. T. Pinker, H. Wang, R. Hollmann, and H. Gadhavi Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Use of.
BBHRP Assessment Part 2: Cirrus Radiative Flux Study Using Radar/Lidar/AERI Derived Cloud Properties David Tobin, Lori Borg, David Turner, Robert Holz,
ESTIMATION OF SOLAR RADIATIVE IMPACT DUE TO BIOMASS BURNING OVER THE AFRICAN CONTINENT Y. Govaerts (1), G. Myhre (2), J. M. Haywood (3), T. K. Berntsen.
MODIS BRDF/Albedo Products from Terra and Aqua
METEOSAT SURFACE ALBEDO FIRE PERTURBATION PRODUCT (MSAFPP) EVALUATION Bernardo W. Mota 1 José M.C. Pereira 1 Yves Govaerts 2 Ana C.L. Sá 1 João M.N. Silva.
Objectives The Li-Sparse reciprocal kernel is based on the geometric optical modeling approach developed by Li and Strahler, in which the angular reflectance.
MODIS Science Team Meeting, Land Discipline (Jan. 27, 2010) Land Surface Radiation Budgets from Model Simulations and Remote Sensing Shunlin Liang, Ph.D.
The Orbiting Carbon Observatory (OCO) Mission: Retrieval Characterisation and Error Analysis H. Bösch 1, B. Connor 2, B. Sen 1, G. C. Toon 1 1 Jet Propulsion.
Generation of TOA Radiative Fluxes from the GERB Instrument Data. Part II: First Results Nicolas Clerbaux and GERB team Royal Meteorological Institute.
Use of the Moon as a calibration reference for NPP VIIRS Frederick S. Patt, Robert E. Eplee, Robert A. Barnes, Gerhard Meister(*) and James J. Butler NASA.
AEROCOM AODs are systematically smaller than MODIS, with slightly larger/smaller differences in winter/summer. Aerosol optical properties are difficult.
Radar Bands Letters chosen during WWII. X-band so-named b/c it was kept secret during the war.
Contact © European Union, Monitoring the State of the Global Terrestrial Surfaces The state of vegetation is analysed using.
RESULTS: CO constraints from an adjoint inversion REFERENCES Streets et al. [2003] JGR doi: /2003GB Heald et al. [2003a] JGR doi: /2002JD
BRDF/ALBEDO GROUP Román, Schaaf, Strahler, Hodges, Liu Assessment of Albedo Derived from MODIS at ChEAS - Park Falls ChEAS 2006 Meeting: June 5 - June.
Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,
Sea Ice, Solar Radiation, and SH High-latitude Climate Sensitivity Alex Hall UCLA Department of Atmospheric and Oceanic Sciences SOWG meeting January 13-14,
Geostationary surface albedo retrieval error estimation Y. Govaerts (1) and A. Lattanzio (2) (1) EUMETSAT, Germany (2) Makalumedia, Germany 2nd CEOS/WGCV/Land.
The Solar Radiation Budget, and High-latitude Climate Sensitivity Alex Hall UCLA Department of Atmospheric and Oceanic Sciences University of Arizona October.
Global Characterization of X CO2 as Observed by the OCO (Orbiting Carbon Observatory) Instrument H. Boesch 1, B. Connor 2, B. Sen 1,3, G. C. Toon 1, C.
Thomas C. Stone U.S. Geological Survey, Flagstaff, AZ USA GSICS Research Working Group Meeting EUMETSAT 24−28 March 2014 Using the Moon as a Radiometric.
A-Train Symposium, April 19-21, 2017, Pasadena, CA
Extinction measurements
J. C. Stroeve, J. Box, F. Gao, S. Liang, A. Nolin, and C. Schaaf
TOA Radiative Flux Estimation From CERES Angular Distribution Models
Polarization Effects on Column CO2 Retrievals from Non-Nadir Satellite Measurements in the Short-Wave Infrared Vijay Natraj1, Hartmut Bösch2, Robert J.D.
Characterizing DCC as invariant calibration target
Entrapment An important mechanism for shortwave 3D cloud radiative effects and its inclusion in the SPARTACUS radiative transfer model Robin Hogan, Mark.
Using dynamic aerosol optical properties from a chemical transport model (CTM) to retrieve aerosol optical depths from MODIS reflectances over land Fall.
Validating CERES calibration and ADMs Using Data from East Antarctica
Polarization Effects on Column CO2 Retrievals from Non-Nadir Satellite Measurements in the Short-Wave Infrared Vijay Natraj1, Hartmut Bösch2, Robert J.D.
FIRE IMPACT ON SURFACE ALBEDO
Application of Stochastic Techniques to the ARM Cloud-Radiation Parameterization Problem Dana Veron, Jaclyn Secora, Mike Foster, Christopher Weaver, and.
Igor Appel TAG LLC, Washington, USA
Studying the cloud radiative effect using a new, 35yr spanning dataset of cloud properties and radiative fluxes inferred from global satellite observations.
Satellite-based climate data records of the surface solar radiation Jörg Trentmann, Uwe Pfeifroth, Steffen Kothe, Vivien Priemer.
Presentation transcript:

MODIS/Meteosat/MISR Surface Albedo Comparison Exercise B. Pinty (1), M. Taberner (1), S. Liang (2), Y. Govaerts (3), J.V. Martonchik (4), Lattanzio (5), C. Barker Schaaf (6), M. M. Verstraete (1), R. E. Dickinson (7), N. Gobron (1), and J-L. Widlowski (1) (1) Institute for Environment and Sustainability of EC-JRC, Ispra (VA) Italy (2) University of Maryland, College Park, USA (3) EUMETSAT, Darmstadt, Germany (4) Jet Propulsion Laboratory, Caltech, Pasadena, USA (5) Makalumedia gmbh, Darmstadt, Germany (6) Boston University, Boston, USA (7) SEAC, Georgia Institute of Technology, Atlanta, USA 2nd CEOS/WGCV/LPV Workshop on Albedo Products, Vienna, April 27-28, 2005

Various types of Surface albedo (1) BHR : Bi-Hemispherical Reflectance is the ratio between the upward and the downward radiant fluxes, that is, accounting for the downwelling diffuse intensities from the sky. Depends on both surface and ambient atmospheric radiative properties and …the Sun angle. All quantities can be defined monochromatic or broadband

Various types of Surface albedo (2) DHR: Directional Hemispherical Reflectance is the ratio between the upward flux and the downward collimated flux coming thus from one single direction (Black sky). Depends on surface radiative properties and …the Sun angle. All quantities can be defined monochromatic or broadband BHR iso : If the downwelling diffuse intensities from the sky is assumed fully isotropic then the BHR is equal to the integral of the DHR over all incoming directions (White sky). Depends on surface radiative properties only.

Surface albedo products from space agencies MODIS delivers DHRs (Black sky) and BHR iso (White sky) MISR delivers DHRs and BHRs as flux ratios but under ambient conditions and for the Sun illumination conditions at time of observations EUMETSAT delivers DHRs for a fixed Sun angle and all information needed to reconstruct the DHRs and BHRiso and all information needed to reconstruct the DHRs at any other Sun angle as well as the BHRiso to reconstruct the BHRs may require some investments or some level of assumption The albedo products may also differ wrt the spectral bands of integration they refer to.

Parameterization of the surface- atmosphere radiative coupling Assuming that the field of downwelling diffuse intensity reaching the surface is PERFECTLY isotropic yields a convenient parameterization for the BLUE SKY ALBEDO Surface level Sun angle Atmospheric optical depth (type of atmosphere) Surface BRF (amplitude and shape) ratio of direct to total downward flux ratio of diffuse to total downward flux with Pinty et al., JAS, 2005

Surface albedo comparison Perform a comparison between MODIS-Meteosat- MISR surface albedo products : a user perspective. Compare similar physical quantities, e,g., BHRs, BHR iso, DHRs. Based on year 2001 products: latest public version available. For two large geographical regions : Africa- Southern Europe and North-East Europe.

Comparison of Surface BHR iso products from MODIS/Meteosat/MODIS Select the same period of time and identical geographical regions Achieve the needed transformations (e.g., BHRs, spectral conversions) to ensure comparison of physical quantities having same meaning Identify the product values showing appropriate QA

Albedo comparison for an ‘Ideal’ Band ( μm)

Govaerts, pers. Com

Spectral Correction for the Meteosat large band effects

Spectral conversion to the ‘Ideal’ Band ( μm) MeteosatMISR

January 2001

MISR low & MODIS high MISR high & MODIS low

January 2001

Histogram of BHR iso differences

(MISR-MODIS) Albedo

June 2001 January 2001 Using Shunlin’s conversion factors Using Yves’s conversion factors

January 2001

Mean BHR values over common area with valid values from one of the two other sensors

Ratio of the mean values

Primary Eigenvectors

Correlation between pairs of samples

Results for year 2001 Shortwave domain ( μm) Africa –Southern Europe

Primary Eigenvectors

October 2001

Results for year 2001 Visible domain ( μm)

Results for year 2001 Near-infrared domain ( μm)

Results for year 2001 Shortwave domain ( μm) Northern –Eastern Europe

Full inversion Magnitude inversion Backup solution

Mean BHR values over common area with valid values from one of the two other sensors Full inversion

Primary Eigenvectors Full inversion

Northern –Eastern Europe Hexadecad 6: End of March 2001

Issues and caveats An error was recently identified in the MISR processing code: BHRs tend to be biased high by about 2 to 3% on average (season & latitude dependent). The nominal spectral conversion formulae (from Liang and Govaerts) agree well. MODIS BHRs are off when estimated from the backup algorithm.

Africa –Southern Europe

Magnitude inversion January 2001 June 2001

Northern – Eastern Europe

Magnitude inversion January 2001 June 2001

Conclusions and Perspectives Albedo (BHR iso ) comparison reveals very good agreement between MODIS- MISR-Meteosat (high QA) products. Extend the comparison exercise globally. Repeat the exercise for DHRs.