Exploiting Multi-platform, Multisensor Data for Improved Measurements of Net Primary Production from GCOM-C SGLI for Climate Change Studies

Lead PI: Dr. Joaquim I Goes, Jinghui Wu , Helga do Rosario Gomes

Unit Affiliation: Biology and Paleo Environment, Lamont-Doherty Earth Observatory (LDEO)

May 2022 - March 2024
Inactive
Asia ; Japan
Project Type: Research

DESCRIPTION: The goal of this study is to develop algorithms of net primary production (NPP) for use with JAXAs ocean color satellite GCOM-C SGLI. We will rely on the phytoplankton biomass-independent model, hereinafter the Absorption Based Model (AbPM), that affords a more sophisticated and pragmatic approach for extending local shipboard NPP measurements to regional and basin scales. AbPM uses satellite derived absorption coefficients of phytoplankton (aph, m-1), photosynthetic available radiation (PAR), phytoplankton quantum efficiencies (ϕ) and euphotic zone depth for estimating integrated NPP.

SPONSOR:

Japan Aerospace Exploration Agency

FUNDED AMOUNT:

$59,089

KEYWORDS

climate change geophysical sensors