Estuarine temperature variability: Integrating four decades of remote sensing observations and in-situ sea surface measurements

Characterizing sea surface temperature (SST) variability is a critical aspect of studying long-term changes in estuarine environments. However, the scales of estuarine variability and change can be quite small (10 m–10 km). In this study, we present the first combined analysis of an estuary using the 39-year-long SST evolution from the multi-satellite Landsat data ( ∼ 18 day average sampling), over a decade of in-situ buoy records (15 min. sampling), and tide gauges (60 min. sampling). We retrieved the seasonal-to-decadal sea surface and tidal temperature variabilities and trends over four decades in Narragansett Bay and its arm, Mt. Hope Bay. The seasonal solar heating, river run-off, and resulting salinity stratification, and bathymetry determine the dominant ( ∼ 80 % ) temperature variance in the bay. The warming trend of the annual mean SST is 0.057 ± 0.024 °C yr −1 for Narragansett Bay and 0.015 ± 0.018 °C yr −1 for Mt. Hope Bay. We classified each Landsat image by tidal phase using tide gauge measurements in order to produce composite SST anomaly maps corresponding to each tidal phase, but non-tidal noise made the signal trustworthy in only a few regions. High-frequency measurements reveal that tidal temperature changes are detectable and consistent at buoy sites but secondary to the temperature changes by season in the bay. The shallower, fresher upper bay shows greater SST variability than the lower bay, whose temperature approaches the more oceanic, less seasonal temperatures at the mouth. Importantly, our study represents the synergistic advantages of utilizing Landsat and in-situ buoy data to offer new and deeper insights into the changing conditions of global estuaries. • A 39-year satellite and in-situ record analysis reveals small-scale estuarine SST variability. • The dominant modes of variability are seasonal in time. • Estuary SST variability exceeds that of the adjacent ocean shelf.

Authors

Institutions

Publication Details

Journal
Remote Sensing of Environment
Published
2025-03-08
DOI
https://doi.org/10.1016/j.rse.2025.114643
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Estuarine temperature variability: Integrating four decades of remote sensing observations and in-situ sea surface measurements

Baylor Fox‐Kemper, Daniel Watkins, Daniel Wexler, Monica M. Wilhelmus et al.
Remote Sensing of Environment
Marine and coastal ecosystems
article

Estuarine temperature variability: Integrating four decades of remote sensing observations and in-situ sea surface measurements

Baylor Fox‐Kemper, Daniel Watkins, Daniel Wexler, Monica M. Wilhelmus, Ashfaq Ahmed
article en

Abstract

Characterizing sea surface temperature (SST) variability is a critical aspect of studying long-term changes in estuarine environments. However, the scales of estuarine variability and change can be quite small (10 m–10 km). In this study, we present the first combined analysis of an estuary using the 39-year-long SST evolution from the multi-satellite Landsat data ( ∼ 18 day average sampling), over a decade of in-situ buoy records (15 min. sampling), and tide gauges (60 min. sampling). We retrieved the seasonal-to-decadal sea surface and tidal temperature variabilities and trends over four decades in Narragansett Bay and its arm, Mt. Hope Bay. The seasonal solar heating, river run-off, and resulting salinity stratification, and bathymetry determine the dominant ( ∼ 80 % ) temperature variance in the bay. The warming trend of the annual mean SST is 0.057 ± 0.024 °C yr −1 for Narragansett Bay and 0.015 ± 0.018 °C yr −1 for Mt. Hope Bay. We classified each Landsat image by tidal phase using tide gauge measurements in order to produce composite SST anomaly maps corresponding to each tidal phase, but non-tidal noise made the signal trustworthy in only a few regions. High-frequency measurements reveal that tidal temperature changes are detectable and consistent at buoy sites but secondary to the temperature changes by season in the bay. The shallower, fresher upper bay shows greater SST variability than the lower bay, whose temperature approaches the more oceanic, less seasonal temperatures at the mouth. Importantly, our study represents the synergistic advantages of utilizing Landsat and in-situ buoy data to offer new and deeper insights into the changing conditions of global estuaries. • A 39-year satellite and in-situ record analysis reveals small-scale estuarine SST variability. • The dominant modes of variability are seasonal in time. • Estuary SST variability exceeds that of the adjacent ocean shelf.

Remote Sensing of EnvironmentVol. 322
Planetary Science Institute (US), John Brown University (US), Planetary Systems (United States) (US)
National Science Foundation, National Aeronautics and Space Administration, Rhode Island Science and Technology Advisory Council, Office of Integrative Activities
Life below water
Openalex Percentile: Top 97%
Marine and coastal ecosystems
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.