Evidence map›Paper›PMID 41409501›Full record

ArticleACS ES&T water2025

Advancing Our Understanding of Surface Water Temperature Dynamics in Transitional Environments through in Situ, Satellite, and Hydrodynamic Modeling.

Nagendra Jaiganesh Sankara Narayanan, Debora Bellafiore, Francesca De Pascalis, Michol Ghezzo, Claire Miller, Marian Scott, Federica Braga, Evangelos Spyrakos, Andrew Tyler

Abstract read
In one paragraph

Article in ACS ES&T water, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nagendra Jaiganesh Sankara NarayananEarth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom FK9 4LA.ORCID https://orcid.org/0000-0001-7350-0602
Debora BellafioreInstitute of Marine Sciences, National Research Council, Venice, Italy 30122.
Francesca De PascalisInstitute of Marine Sciences, National Research Council, Venice, Italy 30122.
Michol GhezzoInstitute of Marine Sciences, National Research Council, Venice, Italy 30122.
Claire MillerSchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom G12 8TA.
Marian ScottSchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom G12 8TA.
Federica BragaInstitute of Marine Sciences, National Research Council, Venice, Italy 30122.
Evangelos SpyrakosEarth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom FK9 4LA.
Andrew TylerEarth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom FK9 4LA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring surface water temperature (SWT) in transitional environments remains challenging due to the interplay of natural and anthropogenic processes, which introduce greater complexity than in open-ocean systems. This study evaluates four SWT products for their ability to capture temperature dynamics in the Venice Lagoon, a well-monitored coastal system. The assessment included (1) output from the hydrodynamic model SHYFEM (System of Hydrodynamic Finite Element Module), (2) a satellite-based Level 4 product from the European Space Agency Climate Change Initiative (ESA CCI), (3) the Landsat 8 Level 2 standard thermal product, and (4) Landsat 8 Level 1 data processed using the Thermal Atmospheric Correction Tool (TACT). Validation against in situ observations indicated that SHYFEM and TACT showed lower bias (-0.48 °C and -0.30 °C, respectively) and RMSE (∼1.2 °C) than the other products. SHYFEM effectively reproduced intra-annual SWT trends with comprehensive temporal coverage, while TACT captured fine-scale spatial features, including thermal anomalies from industrial discharges. Building on this, an integrated product combining SHYFEM and TACT was developed, providing a more accurate and coherent representation of spatiotemporal SWT dynamics. This transferable framework advances understanding of thermal variability in transitional waters and has potential to support ecosystem management and climate adaptation strategies.

Indexed as

Landsat 8SHYFEMsurface water temperatureTACTthermal plumestransitional watersVenice Lagoon

Identifiers

PMID41409501
PMCPMC12706785

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.