Atmospheric Correction for Retrieval of Ocean Spectra from Space (ACROSS)PI: Jacek Chowdhary - Columbia University and NASA Goddard Institute for Space Studies
Using statistical methods to examine the information content and inversion of ocean color remote sensing observations is a complex undertaking that requires a multidisciplinary team. Dr. Chowdhary has worked on ocean and aerosol retrievals from observations by the RSP (Research Scanning Polarimeter) instrument, which is an airborne version of the Aerosol Polarimeter Sensor (APS) onboard the failed 2011 NASA/Glory mission. He wrote a radiative transfer program for polarized underwater light, was a member of the Glory ST (Science Team) and PACE SDT, and is PI of ACOCO. Dr. Alexandrov has written cloud inversion algorithms for RSP, and was also a member of the Glory ST. Dr. Knobelspiesse has worked on inverting coincident RSP and Lidar data, has done information content analyses for different satellite instrument options in support of Glory ST and PACE SDT reports, and was a member of the Glory ST. Dr. van Diedenhoven has expertise in simulating and analyzing hyper-spectral and polarimetry data and the Oxygen A-band, as well as in information content analyses. Dr. Cairns was a member of the Glory ST and the PACE SDT, and has developed techniques for the efficient implementation of inversion algorithms. Dr. Kudela has worked extensively on ocean color retrievals and modeling of underwater light field to describe biological-physical coupling in coastal waters. He is the PI of the coastal ocean project that collaborated with OCEANIA. Dr. Guild has expertise in coastal ecosystem science, and was PI of HOPECOAST and OCEANIA. She is now leading the HQ2O (High-Quality Optical Observations: Improving Atmospheric Correction and Remote Sensing of Water Quality in the Coastal Zone) project with Dr. Kudela. Dr. Palacios has expertise in discriminating phytoplankton types from ocean color, and is processing and analyzing coastal data from the HOPE-COAST and OCEANIA campaigns for the HQ2O project.