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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Climate Atlas Queensland 2025, 2050 and 2070 – BRISBANE – Climate Charts

Authors: Giurgiu, Ioana Corina; OTTMANN, DANIELA A.; Musgrave, Elizabeth;

Climate Atlas Queensland 2025, 2050 and 2070 – BRISBANE – Climate Charts

Abstract

BRISBANE – Climate Charts – 2025 - 2050 -2070 Psychromtric Chart (graphical tool representing physical and thermal properties for human comfort) + UTCI (Universal Thermal Climate Index) polygon Windwheel Dry Bulb Temperature (C) Relative Humidity (%) Total Sky Cover (tenths) Current and predicted climate data for Australia, used in energy and outdoor comfort simulations, are primarily provided by CSIRO based on the TMY2 (RMY) EnergyPlus Weather File (EPW). For NatHERS Climate Zone 10, predictive data was only available for Brisbane. Historical TMY data (1997–2015) was used for current conditions, while future predictions were generated by modifying selected fields with change factors from multiple predictive models (Ren et al., 2021). Comparison with more recent TMYx data (2009–2023) from the ‘onebuilding’ (2024) database shows higher temperatures, particularly in afternoons and spring-summer months, with differences up to 2 °C. Consequently, TMYx data was adopted for 2025 simulations. Future climate scenarios (2050 and 2070, RCP8.5) were analysed for key outdoor comfort parameters including dry bulb temperature, relative humidity, wind speed and direction, and sky cover. UTCI comfort polygons were calculated using both EPW-based seasonal averages and site-specific simulation results accounting for urban wind reductions and surface temperatures. Results indicate an increasing percentage of time outside comfort zones, more pronounced under site-based conditions, highlighting the importance of urban design interventions to mitigate climate impacts. Summer season temperatures show a clear warming trend: hours above the 2025 mean increase from 22.2% in 2025 to 33.9% in 2050 and 43.5% in 2070, with hours above 30 °C also increaseing by 2.2% and 6.7% in 2050 and 2070 respectively. Predicted wind speeds rise from 2.1 m/s in 2025 to 4.9 m/s in future scenarios, slightly improving comfort by lowering mean radiant temperatures and enhancing human heat tolerance. Sky cover increases by 1.6 tenths in the TMYx dataset, moderating surface temperatures, while relative humidity rises from 71% to 75.1% (2050) and 74.7% (2070), slightly offsetting comfort gains from wind. Overall, future scenarios indicate heightened thermal stress, emphasizing the need for climate-informed urban planning and design strategies. References/ Ren, Zhengen; Tang, Tonny; & James, Melissa (2021): Projected weather files for building energy modelling. v2. CSIRO. Service Collection. http://hdl.handle.net/102.100.100/430469?index=1 OneBuilding Database (2024): Climate Data for Energy Modelling. Available at: https://climate.onebuilding.org/

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average