Early Adopters

The PACE Early Adopter program promotes applied science and applications research designed to scale and integrate PACE data into policy, business, and management activities that benefit society and inform decision making.

Who are Early Adopters?

1. Have a direct, clearly-defined need for PACE ocean color, aerosol, cloud or polarimetry data;
2. Have an existing application or new ideas for novel PACE-related applications;
3. Currently work with application end user(s) and can describe their decision-making process;
4. Have an interest in utilizing a proposed PACE product; and
5. Can apply their own resources (personnel, tools, funding, facilities, etc.) to demonstrate the utility of PACE data for their particular system or model.

Early Adopters

Join our growing list of Early Adopters who are engaged with the PACE Project! Benefits of becoming an Early Adopter include: Interacting with other EA members and the PACE Science & Applications Team, participating in PACE Applications Program activities (e.g., workshops, focus sessions, and tutorials), accessing pre-launch simulated and proxy PACE data, and getting updates on the mission, science data products, and field campaigns.

  Early Adopter     Title     

Clarissa Anderson

Scripps Institution of Oceanography

Applying PACE Products to the California Harmful Algae Risk Mapping (C-HARM) System

Jordan Borak

University of Maryland, College Park; NASA Goddard Space Flight Center

Mapping Wetland Vegetation Parameters with PACE's Ocean Color Instrument

Damian Brady

University of Maine

Aquaculture Site Prospecting: Applying PACE Products to Sustainable Aquaculture Site Selection

Dustin Carroll

Moss Landing Marine Laboratories, San José State University

The Data-assimilative, Global-ocean ECCO-Darwin Biogeochemistry Model

Hunter Erickson

Hyphae

Managing Environments in the Palm of Your Hand

Elizabeth Ferguson

Ocean Science Analytics

Coastal and Offshore Oregon Marine Mammal Ecological Study

Marjorie Friedrichs

Virginia Institute of Marine Science, William & Mary (VIMS)

Water Clarity and Particle Size from Hyperspectral Remote Sensing Reflectance in the Chesapeake Bay

Hiroto Higa

Institute of Urban Innovation, Yokohama National University

Harmful Algal Bloom (HAB) and Red/blue Tide Detection and Modeling for Coastal and Inland Waters in Asia

Heather Holmes

University of Utah

Modeling Spatial and Temporal Exposure to Air Pollution in the Western U.S.

Chuanmin Hu

University of South Florida

Detecting and Differentiating Oil Slicks Through PACE Measurements

Jason Jolliff

US Naval Research Laboratory (US NRL)

Ocean Colorimetry with PACE

Antar Jutla

University of Florida

Predictive Assessment of Clinically Active Biothreats in Coastal and Ocean Waters Using PACE Data

Moritz Lehmann

Xerra Earth Observation Institute (Alexandra, New Zealand)

Harmful Algal Bloom Detection and Monitoring in the Inland and Coastal Waters of New Zealand

Marina Marrari

Federación Costarricense de Pesca (FECOP)

Near Real Time Satellite Data Distribution Platform for Central America: Monitoring and Fisheries Applications (pezCA)

Michael Ondrusek

NOAA/STAR/SOCD

Development and Assessment of a Hyperspectral Total Suspended Matter (TSM) Algorithm for PACE

Mariusz Pagowski

NOAA/ESRL/GSL; CIRES/University of Colorado, Boulder

Assessing Potential of PACE Aerosol Products for Data Assimilation

Anastasia Romanou

NASA Goddard Institute for Space Studies (GISS)/Columbia University

Shifts in Biodiversity and Linkages to Ecosystem Health and Food Security

Marié Smith

Earth Observation Research Group, Council for Scientific and Industrial Research (CSIR)

Hyperspectral satellite radiometry for HAB and phytoplankton functional type identification in support of South African marine industries

Richard Stumpf

National Centers for Coastal Ocean Science (NCCOS)

Discriminating Algal Blooms in Turbid Coastal, Estuarine and Large Lake Environments

Daniel Tong

George Mason University

Satellite Retrievals of Marine Aerosols and Trace Gas Emissions