High Antarctic coastal productivity in polynyas revealed by considering remote sensing ice‐adjacency effects

Abstract Ocean color‐based estimates of Antarctic net primary productivity (NPP) have indicated low nearshore productivity in ice‐adjacent waters, contrasting with coupled physical–biogeochemical models. To understand this discrepancy, we assessed satellite records of polynya NPP by comparing field data with two satellite imagery datasets derived using different processing schemes. Our results indicate historical underestimation of chlorophyll a for imagery obtained using default atmospheric correction processing within approximately 100 km of ice‐covered coastlines due to adjacency effects. Using radiative transfer modeling, we find that biases in ocean color polynya observations due to adjacency effects correspond to the high albedo of ice and snow. When applying an atmospheric correction processing scheme more robust to adjacency contamination, estimates of NPP more than doubled in 65% of polynyas, especially smaller eastern Antarctic polynyas. Adjacency effects should therefore be accounted for when analyzing spatial and temporal trends in Antarctic coastal primary productivity.

Authors

Institutions

Publication Details

Journal
Limnology and Oceanography Letters
Published
2025-09-05
DOI
https://doi.org/10.1002/lol2.70043
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High Antarctic coastal productivity in polynyas revealed by considering remote sensing ice‐adjacency effects

Heidi M. Dierssen, Alexandre Castagna, Henry F. Houskeeper, Hilde Oliver et al.
Limnology and Oceanography Letters
Arctic and Antarctic ice dynamics
article

High Antarctic coastal productivity in polynyas revealed by considering remote sensing ice‐adjacency effects

Heidi M. Dierssen, Alexandre Castagna, Henry F. Houskeeper, Hilde Oliver, J. S. Turner
article en

Abstract

Abstract Ocean color‐based estimates of Antarctic net primary productivity (NPP) have indicated low nearshore productivity in ice‐adjacent waters, contrasting with coupled physical–biogeochemical models. To understand this discrepancy, we assessed satellite records of polynya NPP by comparing field data with two satellite imagery datasets derived using different processing schemes. Our results indicate historical underestimation of chlorophyll a for imagery obtained using default atmospheric correction processing within approximately 100 km of ice‐covered coastlines due to adjacency effects. Using radiative transfer modeling, we find that biases in ocean color polynya observations due to adjacency effects correspond to the high albedo of ice and snow. When applying an atmospheric correction processing scheme more robust to adjacency contamination, estimates of NPP more than doubled in 65% of polynyas, especially smaller eastern Antarctic polynyas. Adjacency effects should therefore be accounted for when analyzing spatial and temporal trends in Antarctic coastal primary productivity.

Limnology and Oceanography LettersVol. 10(6)
University of Connecticut (US), Ghent University Hospital (BE), Woods Hole Oceanographic Institution (US), Old Dominion University (US)
National Aeronautics and Space Administration, Woods Hole Oceanographic Institution, Belgian Federal Science Policy Office, Nuclear Safety and Security Commission, Natural Environment Research Council
Openalex Percentile: Top 71%
Arctic and Antarctic ice dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.