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?
Early Adopters "Designation"
PACE Early Adopters are groups and individuals who:- Have a direct, clearly-defined need for PACE ocean color, aerosol, cloud or polarimetry data;
- Have an existing application or new ideas for novel PACE-related applications that directly benefit society;
- Currently work with application stakeholder, decision-maker, manager, or other type of end user(s) and can describe their decision-making process;
- Have an interest in utilizing a proposed PACE product; and
- 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 Benefits
In addition to the benefits listed as part of the Community of Practice (CoP), Early Adopters also receive:- Direct support from PACE Science and Application Team (SAT) and/or Project Science (ProjSci): after acceptance into the program, you will join a SAT member(s) as a partner and receive guidance and support on the functionality of the PACE data products.
- PACE web presence, project promotion, and advocacy at external events: after acceptance, the Applications Team will create a web profile highlighting each EA's practical application and how it supports decision-making, public health, and society. Specific Early Adopter projects will be promoted via multiple venues.
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.
Madhusudan Anand
Datair Technology Pvt Ltd
India & Global Micro Air Quality & Pollen Monitoring & Alerting System
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
Joaquim Goes
Columbia University, Lamont Doherty Earth Observatory
Decision and Information System for Coastal waters of Oman (DISCO) - an integrative tool for managing coastal resources experiencing climate change
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
Antar Jutla
University of Florida
Predictive Assessment of Clinically Active Biothreats in Coastal and Ocean Waters Using PACE Data
Veronica Lance
NOAA/NESDIS/STAR/Satellite Oceanography & Climatology Division, NOAA; NOAA CoastWatch
Satellite data products and services for managing our oceans and coasts - NOAA CoastWatch
Moritz Lehmann
Xerra Earth Observation Institute (Alexandra, New Zealand)
Harmful Algal Bloom Detection and Monitoring in the Inland and Coastal Waters of New Zealand
S. Marcela Loría-Salazar
School of Meteorology, University of Oklahoma
Toward Understanding the Effect of Aerosols on Regional Weather and Human Health in the Southern Great Plains
Fernanda Maciel
Universidad de la República, Uruguay
Suspended sediment characterization and cyanobacteria detection in the Río de la Plata Estuary
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
Salem Ibrahim Salem
Kyoto University of Advanced Science
Harmful Algal Bloom (HAB) and Red/blue Tide Detection and Modeling for Coastal and Inland Waters in Asia
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
Vardis Tsontos
NASA Jet Propulsion Laboratory; CEOS COVERAGE project
Applying PACE products to Earth Observation (EO) Applications and Oceanographic Data Management - CEOS COVERAGE
Jessica Turner
University of Connecticut, Department of Marine Sciences
Water Clarity and Particle Size from Hyperspectral Remote Sensing Reflectance in the Chesapeake Bay
Mortimer Werther
Swiss Federal Institute of Aquatic Science and Technology (EAWAG)
Hyperspectral satellite remote sensing for monitoring and assessing Swiss lake aquatic ecosystem healthQuick Links
PACE Application Areas
Air Quality »
White Paper: Particulate Matter Concentration
Water Resources »
White Paper: Marine Fisheries
Disasters »
White Paper: Hazard Assessment & Aviation Safety
Ecological Forecasting »
White Paper: Harmful Algal Blooms
Climate »
White Paper: Aerosol and Cloud Properties
