Reservoir thermal stratification is often described as a physical and limnological process, but its direct relevance for day-to-day reservoir operation is less frequently quantified using routinely available monitoring data. This paper investigates whether high-frequency Supervisory Control and Data Acquisition (SCADA) records can be used to identify periods in which thermal stratification becomes operationally significant for the Ćelije multipurpose reservoir in Serbia. The analysis combines hourly water-temperature measurements at six elevations, 255, 265, 268, 271, 274 and 277 m a.s.l., with reservoir level and outflow data for the period September 2022–September 2023. Thermal conditions were quantified using a vertical stratification index, ΔT = T₂₇₇ − T₂₅₅, while reservoir operation was interpreted through level–outflow relationships and total discharge intensity. Strong stratification, defined as ΔT ≥ 10°C, occurred for 109 days, with a maximum daily value of 17.38°C recorded on 17 July 2023. The longest uninterrupted strongly stratified period lasted 64 days, from 30 June to 4 September 2023. The results show that discharge intensity was primarily governed by reservoir level, but the ΔT index provided essential additional information for identifying periods when increased release coincided with a strongly stratified water column. These operating windows are particularly relevant for assessing outlet use, withdrawal depth and potential thermal effects on released water. The study demonstrates that simple indicators derived from SCADA data can support thermally informed reservoir operation and provide a practical basis for future selective-withdrawal and water-quality assessments.

Rapid urbanization has significantly altered urban morphology, intensifying the urban heat island (UHI) effect and increasing thermal stress in cities. Previous studies have demonstrated that urban morphology plays a crucial role in UHI formation, especially at the micro-scale. This study examines the feasibility of assessing UHI sensitivity at the micro-scale through key urban morphology indicators – building coverage ratio (BCR), floor area ratio (FAR), and street canyon aspect ratio (SCR) – using the City of Niš (Serbia) as a case study. The methodology used in this research was developed within the framework of the Be Ready project. The results indicate that publicly available satellite datasets are not adequate for micro-scale UHI assessment due to limitations in data precision, data timeliness, and the nature of the data itself, which requires additional analytical computation. With respect to data availability at the city or municipal level, there are no systematically monitored or georeferenced datasets of urban morphology indicators. Consequently, the values of the selected indicators can be determined only through analytical calculations and field surveys, which is highly time-consuming and limits the practical applicability of these indicators in urban planning practice. The study highlights the need for improved, up-to-date urban morphology datasets to support the effective UHI risk assessment and climate-resilient urban planning.