Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38434
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dc.contributor.advisorTyler, Andrew-
dc.contributor.advisorSpyrakos, Evangelos-
dc.contributor.authorSankara Narayanan, Nagendra Jaiganesh-
dc.date.accessioned2026-11-04T11:45:48Z-
dc.date.issued2026-08-17-
dc.identifier.citationNagendra Jaiganesh Sankara Narayanan, Debora Bellafiore, Francesca De Pascalis, Michol Ghezzo, Claire Miller, Marian Scott, Federica Braga, Evangelos Spyrakos, Andrew Tyler; Advancing Our Understanding of Surface Water Temperature Dynamics in Transitional Environments through in Situ, Satellite, and Hydrodynamic Modeling. ACS EST Water 12 December 2025; 5 (12): 7194–7206. https://doi.org/10.1021/acsestwater.5c00583en_GB
dc.identifier.citationSankara Narayanan NJ, Spyrakos E, Jiang D, Braga F, Scarpa GM, Manfè G, Bellafiore D, De Pascalis F, Ghezzo M, Simis S and Tyler A (2026) Where freshwater meets the sea: satellite–model insights into salinity dynamics in the Venice Lagoon. Front. Remote Sens. 7:1919861. doi: 10.3389/frsen.2026.1919861en_GB
dc.identifier.urihttp://hdl.handle.net/1893/38434-
dc.description.abstractTransitional water systems are dynamic land–sea environments where river inflow, tidal exchange, atmospheric forcing and shallow bathymetry interact across multiple scales. Earth Observation (EO) and hydrodynamic modelling can improve understanding of these systems, but the performance of these approaches remains uncertain in shallow, optically complex and morphologically heterogeneous environments. Well-monitored transitional systems such as the Venice Lagoon provide an opportunity to evaluate, further develop and integrate these approaches, and to assess their transferability to less-monitored, data-scarce transitional waters. This PhD thesis follows this framework to investigate surface water temperature (SWT) and surface water salinity (SWS) variability across contrasting transitional environments. Three studies address this aim. Chapter 2 evaluates and integrates satellite- and model-derived SWT products in the Venice Lagoon. Chapter 3 develops the first satellite-based framework for retrieving coloured dissolved organic matter (CDOM) and SWS in the Venice Lagoon, using the former as an optical proxy for freshwater–marine mixing. In parallel, hydrodynamic modelling represents broader spatiotemporal SWS patterns. Chapter 4 assesses the transferability of these approaches to the less-monitored Danube Delta-Razelm-Sinoie-western Black Sea continuum. In Venice Lagoon, the System of Hydrodynamic Finite Element Modules (SHYFEM), driven by real-time meteorological and hydrological observations, reproduced seasonal SWT variability with continuous coverage. Landsat Thermal Infrared Sensor (TIRS) observations processed with the Thermal Atmospheric Correction Tool (TACT) resolved fine-scale variability and industrial-discharge anomalies. Their integration improved spatiotemporal SWT representation. Multi-year in situ observations confirmed an inverse CDOM–SWS relationship, enabling Sentinel-3 Ocean and Land Colour Instrument (OLCI) to map freshwater influence, tidal redistribution and lagoon-wide gradients. In the Danube region, where local meteorological observations were unavailable, SHYFEM driven by globally available atmospheric reanalysis data, together with Landsat SWT and Sentinel-3-derived SWS, captured seasonal contrasts, river–lagoon–sea gradients and freshwater-plume pathways. The observed discrepancies between satellite-derived and modelled SWT and SWS estimates were linked to water-constituent variability, atmospheric-correction performance, shallow-water structure and environmental forcing. Collectively, this thesis advances Earth Observation and hydrodynamic modelling to improve understanding of SWT and SWS dynamics across the study sites. The developed framework is transferable to comparable environments and strengthens monitoring capacity, supports ecosystem assessment and improves the scientific basis for coastal and lagoon management.en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Stirlingen_GB
dc.subjecttransitional wateren_GB
dc.subjectsurface water temperatureen_GB
dc.subjectVenice Lagoonen_GB
dc.subjectRazelm-Sinoie Lagoonen_GB
dc.subjectcoloured dissolved organic matteren_GB
dc.subjectEarth Observationen_GB
dc.subjectHydrodynamic modellingen_GB
dc.subjectSHYFEMen_GB
dc.subjectLandsaten_GB
dc.subjectSHYFEMen_GB
dc.subject.lcshWateren_GB
dc.subject.lcshWater temperatureen_GB
dc.subject.lcshEnvironmental monitoringen_GB
dc.subject.lcshEarth sciencesen_GB
dc.subject.lcshHydrology Observationen_GB
dc.subject.lcshLandsat satellitesen_GB
dc.subject.lcshSHYFEMen_GB
dc.subject.lcshShallow water HYdrodynamic Finite Element Modelen_GB
dc.titleAdvancing earth observation and its integration with hydrodynamic modelling to understanding transitional watersen_GB
dc.typeThesis or Dissertationen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnameDoctor of Philosophyen_GB
dc.rights.embargodate2027-03-31-
dc.rights.embargoreasonI request a 5-month delay to public access to allow preparation and submission of a journal article based on Chapter 4 of this thesis.en_GB
dc.contributor.funderNatural Environment Research Council (NERC), through the IAPETUS2 Doctoral Training Partnership.en_GB
dc.author.emailnas4@stir.ac.uken_GB
dc.rights.embargoterms2027-04-01en_GB
dc.rights.embargoliftdate2027-04-01-
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