On-orbit calibration of SeaWiFS.

Ocean color climate data records (CDRs) require water-leaving radiances with 5% absolute and 1% relative accuracies as input. Because of the amplification of any sensor calibration errors by the atmospheric correction, the 1% relative accuracy requirement translates into a 0.1% long-term radiometric stability requirement for top-of-the-atmosphere (TOA) radiances. The rigorous prelaunch and on-orbit calibration program developed and implemented for Sea-viewing Wide Field-of-view Sensor (SeaWiFS) by the NASA Ocean Biology Processing Group (OBPG) has led to the incorporation of significant changes into the on-orbit calibration methodology over the 13-year lifetime of the instrument. Evolving instrument performance and ongoing algorithm refinement have resulted in updates to approaches for the lunar, solar, and vicarious calibration of SeaWiFS. The uncertainties in the calibrated TOA radiances are addressed in terms of accuracy (biases in the measurements), precision (scatter in the measurements), and stability (repeatability of the measurements). The biases are 2%-3% from lunar calibration and 1%-2% from vicarious calibration. The precision is 0.16% from solar signal-to-noise ratios, 0.13% from lunar residuals, and 0.10% from vicarious gains. The long-term stability of the TOA radiances, derived from the lunar time series, is 0.13%. The stability of the vicariously calibrated TOA radiances, incorporating the uncertainties of the in situ measurements and the atmospheric correction, is 0.30%. This stability of the radiometric calibration of SeaWiFS over its 13-year on-orbit lifetime has allowed the OBPG to produce CDRs from the ocean color data set.

[1]  Robert A. Barnes,et al.  SeaWiFS lunar calibration methodology after six years on orbit , 2004, SPIE Optics + Photonics.

[2]  Francisco P Chavez,et al.  Marine primary production in relation to climate variability and change. , 2011, Annual review of marine science.

[3]  Robert A. Barnes,et al.  Comparison of SeaWiFS on-orbit lunar and vicarious calibrations , 2006, SPIE Optics + Photonics.

[4]  R. Evans,et al.  Coastal zone color scanner “system calibration”: A retrospective examination , 1994 .

[5]  C. McClain.  A decade of satellite ocean color observations. , 2009, Annual review of marine science.

[6]  Robert A. Barnes,et al.  SeaWiFS calibration and validation plan, volume 3 , 1992 .

[7]  Bryan A. Franz,et al.  Uncertainty assessment of the SeaWiFS on-orbit calibration , 2011, Optical Engineering + Applications.

[8]  Ziauddin Ahmad,et al.  New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans. , 2010, Applied optics.

[9]  Robert A. Barnes,et al.  SeaWiFS Detector and Gain Calibrations: Four Years of On-Orbit Stability , 2002, SPIE Optics + Photonics.

[10]  Scott C. Doney,et al.  Detection of anthropogenic climate change in satellite records of ocean chlorophyll and productivity , 2010 .

[11]  H. Kieffer,et al.  The Spectral Irradiance of the Moon , 2005 .

[12]  Bryan A. Franz,et al.  On-orbit calibration of SeaWiFS: revised temperature and gain corrections , 2007, SPIE Optical Engineering + Applications.

[13]  A. H. Johnston.  Radiation damage of electronic and optoelectronic devices in space , 2000 .

[14]  Cara Wilson,et al.  The rocky road from research to operations for satellite ocean-colour data in fishery management , 2011 .

[15]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[16]  B. Franz,et al.  Oceanography: Century of phytoplankton change , 2010, Nature.

[17]  H. Gordon.  Atmospheric correction of ocean color imagery in the Earth Observing System era , 1997 .

[18]  Steven W. Brown,et al.  The marine optical buoy (MOBY) radiometric calibration and uncertainty budget for ocean color satellite sensor vicarious calibration , 2007, SPIE Remote Sensing.

[19]  C. McClain,et al.  Calibration of SeaWiFS. I. Direct techniques. , 2001, Applied optics.

[20]  Robert A. Barnes,et al.  SeaWiFS prelaunch radiometric calibration and spectral characterization , 1995 .

[21]  B. Franz,et al.  Sensor-independent approach to the vicarious calibration of satellite ocean color radiometry. , 2007, Applied optics.

[22]  Gerhard Meister,et al.  SeaWiFS on-orbit gain and detector calibrations: effect on ocean products. , 2007, Applied optics.

[23]  Howard R. Gordon,et al.  In-Orbit Calibration Strategy for Ocean Color Sensors , 1998 .

[24]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[25]  Menghua Wang,et al.  Study of the Sea‐Viewing Wide Field‐of‐View Sensor (SeaWiFS) aerosol optical property data over ocean in combination with the ocean color products , 2005 .

[26]  Xiaoxiong Xiong,et al.  Cross calibration of SeaWiFS and MODIS using on-orbit observations of the Moon. , 2011, Applied optics.

[27]  Thomas C. Stone,et al.  Radiometric calibration stability and inter-calibration of solar-band instruments in orbit using the moon , 2008, Optical Engineering + Applications.

[28]  Hugh H. Kieffer,et al.  Photometric stability of the lunar surface , 1997 .

[29]  Menghua Wang,et al.  Calibration of ocean color scanners: how much error is acceptable in the near infrared? , 2002 .

[30]  Thomas C. Stone,et al.  Use of the Moon to support on-orbit sensor calibration for climate change measurements , 2006, SPIE Optics + Photonics.

[31]  S. Maritorena,et al.  Global variability of phytoplankton functional types from space: assessment via the particle size distribution , 2010 .

[32]  Steven W. Brown,et al.  Overview of the radiometric calibration of MOBY , 2002, Optics + Photonics.

[34]  C. McClain,et al.  Calibration of SeaWiFS. II. Vicarious techniques. , 2001, Applied optics.

[35]  Frederick S. Patt,et al.  The on-orbit calibration of SeaWiFS: functional fits to the lunar time series , 2008, Optical Engineering + Applications.

[36]  K. Voss,et al.  Validation of atmospheric correction over the oceans , 1997 .

[37]  Richard P. Stumpf,et al.  MONITORING KARENIA BREVIS BLOOMS IN THE GULF OF MEXICO USING SATELLITE OCEAN COLOR IMAGERY AND OTHER DATA , 2003 .