Science and Applications Team 2
PACE will make climate-quality global measurements that are essential for understanding ocean biology, biogeochemistry, ecology, aerosols, and cloud properties. Its data will be used to determine the role of the ocean and atmosphere in global biogeochemical cycling, ocean ecology, and how perturbations to Earth's energy balance affect – and are affected by – climate change.
With advanced global remote sensing capabilities PACE is expected to provide high-quality observations that will contribute substantially to basic research and applications and extend the current time series of climate-relevant data to enable detection of long-term trends. Check out the Applications Capability Matrix to learn about the questions being addressed by PACE Early Adopters.
Current Science and Applications Team
Science and Applications Leadership
Heidi Dierssen
University of Connecticut
PACE Science and Applications Team Lead
Atmospheric Correction Over Bright Water Targets with Non-Negligible Radiances in the Near Infrared
University of Connecticut
PACE Science and Applications Team Lead
Atmospheric Correction Over Bright Water Targets with Non-Negligible Radiances in the Near Infrared
Lorraine Remer
University of Maryland Baltimore County
PACE Deputy Science and Applications Team Lead
Unified Algorithm for Aerosol Characterization from OCI on PACE 19-PACESAT19-0014
University of Maryland Baltimore County
PACE Deputy Science and Applications Team Lead
Unified Algorithm for Aerosol Characterization from OCI on PACE 19-PACESAT19-0014
Science and Applications Team
Brian Barnes
University of South Florida
Spectral Matching Inversion Algorithms for PACE Application in Optically Shallow Waters: An Assessment Using HICO and PRISM Data
University of South Florida
Spectral Matching Inversion Algorithms for PACE Application in Optically Shallow Waters: An Assessment Using HICO and PRISM Data
Jacek Chowdhary
Columbia University
PACE UV Retrieval of Ocean and Atmosphere Data-Products (PACE UV ROAD): CDM, BrC and BC Polarimetry
Columbia University
PACE UV Retrieval of Ocean and Atmosphere Data-Products (PACE UV ROAD): CDM, BrC and BC Polarimetry
Peter Gaube
University of Washington
Going Beyond Chlorophyll-A: Developing Phytoplankton Community Composition Algorithms from Hyperspectral Remote Sensing Reflectances
University of Washington
Going Beyond Chlorophyll-A: Developing Phytoplankton Community Composition Algorithms from Hyperspectral Remote Sensing Reflectances
Chuanmin Hu
University of South Florida
Deciphering Sargassum Physics, Biology, and Physiology through PACE Measurements: Implications to Ocean Ecology, Biogeochemistry, and Management Decision Support
University of South Florida
Deciphering Sargassum Physics, Biology, and Physiology through PACE Measurements: Implications to Ocean Ecology, Biogeochemistry, and Management Decision Support
Nick Krotkov
NASA Goddard Space Flight Center
Hyperspectral Algorithms for PACE OCI Water Leaving Reflectances and UV Penetration Depths
NASA Goddard Space Flight Center
Hyperspectral Algorithms for PACE OCI Water Leaving Reflectances and UV Penetration Depths
Alexei Lyapustin
NASA Goddard Space Flight Center
MAIAC Processing of OCI Over Land: High Resolution Aerosol Retrievals and Atmospheric Correction
NASA Goddard Space Flight Center
MAIAC Processing of OCI Over Land: High Resolution Aerosol Retrievals and Atmospheric Correction
Daniel Odermatt
Swiss Federal Institute of Aquatic Science and Technology
Monitoring Lake Primary Production using the PACE satellite (Lake3P)
Swiss Federal Institute of Aquatic Science and Technology
Monitoring Lake Primary Production using the PACE satellite (Lake3P)
Matteo Ottaviani
Terra Research Inc
Remote Sensing of the Ocean Surface Refractive Index and Oil Spill Detection for the PACE Mission
Terra Research Inc
Remote Sensing of the Ocean Surface Refractive Index and Oil Spill Detection for the PACE Mission
Nima Pahlevan
Science Systems and Applications Inc. (SSAI)
Maximizing Utility of PACE in Coastal and Major Freshwater Ecosystems: Advancing Science for Societal Benefits
Science Systems and Applications Inc. (SSAI)
Maximizing Utility of PACE in Coastal and Major Freshwater Ecosystems: Advancing Science for Societal Benefits
Cecile Rousseaux
NASA Goddard Space Flight Center
Phytoplankton Algorithms and Data Assimilation: Preparing a Pre-launch Path to Exploit PACE Spectral Data
NASA Goddard Space Flight Center
Phytoplankton Algorithms and Data Assimilation: Preparing a Pre-launch Path to Exploit PACE Spectral Data
Robert Shuchman
Michigan Tech Research Institute
Developing a PACE Hyperspectral Bio-Optical Algorithm Framework for Detection of Freshwater Harmful Algal Blooms
Michigan Tech Research Institute
Developing a PACE Hyperspectral Bio-Optical Algorithm Framework for Detection of Freshwater Harmful Algal Blooms
David Siegel
UC Santa Barbara
Development of Robust Spectral Derivative Algorithms for Phytoplankton Pigment Concentrations on Local to Global Scales
UC Santa Barbara
Development of Robust Spectral Derivative Algorithms for Phytoplankton Pigment Concentrations on Local to Global Scales
Snorre Stamnes
NASA Langley Research Center
The PACE-MAPP Algorithm: Coupled Aerosol and Ocean Products from Combined Polarimeter and OCI SWIR Measurements
NASA Langley Research Center
The PACE-MAPP Algorithm: Coupled Aerosol and Ocean Products from Combined Polarimeter and OCI SWIR Measurements
Dariusz Stramski
Scripps Institution of Oceanography, University of California San Diego
Next Generation Algorithms Based on PACE Capabilities to Obtain Inherent Optical Properties of Seawater Associated with Phytoplankton, Nonalgal Particles, and Colored Dissolved Organic Matter
Scripps Institution of Oceanography, University of California San Diego
Next Generation Algorithms Based on PACE Capabilities to Obtain Inherent Optical Properties of Seawater Associated with Phytoplankton, Nonalgal Particles, and Colored Dissolved Organic Matter
Michael Twardowski
Harbor Branch Oceanographic Institute / Florida Atlantic University
A New Semi-Analytical Ocean Color Model and Inversion Algorithm for PACE
Harbor Branch Oceanographic Institute / Florida Atlantic University
A New Semi-Analytical Ocean Color Model and Inversion Algorithm for PACE
Bastiaan van Diedenhoven
SRON Netherlands Institute for Space Research
Remote Sensing of Cloud Properties using PACE SPEXone and HARP-2
SRON Netherlands Institute for Space Research
Remote Sensing of Cloud Properties using PACE SPEXone and HARP-2
Pengwang Zhai
University of Maryland Baltimore County
Theoretical Support for Developing the PACE Atmospheric Correction Algorithm: Radiative Transfer and Polarimetric Retrieval of Aerosol Properties
University of Maryland Baltimore County
Theoretical Support for Developing the PACE Atmospheric Correction Algorithm: Radiative Transfer and Polarimetric Retrieval of Aerosol Properties
Xiaodong Zhang
University of Southern Mississippi
Using Multi-Angle Polarimetry to Derive Χ Factor and Improve BRDF Correction for PACE's OCI
University of Southern Mississippi
Using Multi-Angle Polarimetry to Derive Χ Factor and Improve BRDF Correction for PACE's OCI