the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Towards a global database on building architecture and construction materials for urban climate models
Abstract. Due to regional climate change exacerbated by the Urban Heat Island (UHI) effect, the population of dense urban areas is vulnerable to heat stress. Accurate urban climate models are essential for quantifying UHI mitigation strategies and supporting climate adaptation efforts. These models require input data on urban form, materials, and function. However, existing frameworks, such as Local Climate Zones (LCZ) and Geoclimate, only provide urban morphological parameters and lack detailed information on building materials and systems.
To address these limitations, architects, engineers, urban climatologists and researchers in many countries have been contacted via a survey platform to provide information on building materials and systems. The survey has been translated into 11 languages to enable global coverage. This approach captures significant architectural and construction trends by collecting key data on building systems and envelope characteristics (e.g., walls, roofs, windows, and insulation).
The survey yielded 521 responses from 141 countries, demonstrating substantial global coverage. A multi-step imputation strategy was applied to create a comprehensive global database, and residential building typologies are defined for each country. Global homogeneous typologies are defined for non-residential buildings. The resulting datasets are freely available and can easily be combined with LCZ maps. These datasets provide a valuable resource for urban climate modeling and facilitate more accurate climate assessments on a global scale. Future work may enhance data granularity further, for instance, by providing typologies at the subnational level.
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Status: final response (author comments only)
- RC1: 'Comment on essd-2026-201', Anonymous Referee #1, 31 May 2026
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RC2: 'Comment on essd-2026-201', Shu Liu, 28 Jul 2026
This study presents a timely and valuable contribution by developing a global preliminary database of building architecture and construction materials for urban climate models based on expert surveys. While satellite remote sensing effectively characterizes global high-resolution urban morphology (e.g., impervious surface fraction and building height), representing building construction materials, architectural details, and thermophysical properties remains a major bottleneck in current urban climate modeling. The strong interest from the community, reflected by up to 800 downloads of the published dataset to date, underscores the practical value of this research direction. However, from the perspective of a global climate modeler, several key aspects of the dataset and manuscript could be further improved.
Specific comments:
- The manuscript lacks a systematic comparison with established baseline datasets currently implemented in Global Climate Models (GCMs), particularly Jackson et al. (2010), which provides the standard urban property dataset for GCMs like the Community Land Model Urban (CLMU) within the Community Earth System Model (CESM) (Oleson et al., 2010). To demonstrate the value of this new database for global climate modeling, the authors should benchmark their dataset against Jackson et al. (2010) and explicitly highlight the updates, improvements, or regional value it offers over existing datasets.
- There is a structural mismatch between the height-based building classification used in this database (Low-rise, Mid-rise, and High-rise) and the urban land cover typologies implemented in GCMs, which are typically categorized by density—such as Low-Density (LD), Medium-Density (MD), High-Density (HD), and Tall Building Districts (TBD) (Oleson et al., 2010). The authors should provide a clear mapping matrix or translation protocol showing how modelers can directly convert these LR/MR/HR parameters into standard GCM urban density classes.
- Figures 9–16 in the main text show notable redundancy with Figures C1–C3 in the Appendix. To make the presentation more concise and readable, I suggest replacing or consolidating Figures 9–16 with the comprehensive global parameter maps from Figures C1–C3 directly in the main text.
- While concrete usage generally increases from low-rise to high-rise structures, the finding showing that Low-Rise (LR) buildings across parts of Africa (e.g., Sahara) predominantly use concrete for both exterior walls and roofs appears counter-intuitive (Figure C1). The authors should clarify whether this high prevalence reflects actual local construction practices or is an artifact resulting from data imputation and extrapolation due to sparse survey responses in that region. Further local ground-truthing or literature cross-verification is needed.
- Regarding Appendix D ("Look-up tables for physical parameters", Line 937), what are the physical sources, standards, or literature references behind these values? In addition to thermal conductivity, heat capacity, and surface albedo, GCMs require parameters such as radiative emissivity and physical layer thicknesses of roofs and exterior walls (Oleson et al., 2010). Can the authors incorporate these additional parameters—along with plausible uncertainty ranges—into the look-up tables to make the dataset fully operational for GCMs?
Reference:
Jackson, T. L., Feddema, J. J., Oleson, K. W., Bonan, G. B. & Bauer, J. T. Parameterization of Urban Characteristics for Global Climate Modeling. Ann Assoc Am Geogr 100, 848–865 (2010).
Oleson, K. W., Bonan, G. B., Feddema, J., Vertenstein, M., & Kluzek, E. (2010). Technical description of an urban parameterization for the Community Land Model (CLMU). NCAR, Boulder, 10, D6K35RM9.
Citation: https://doi.org/10.5194/essd-2026-201-RC2
Data sets
A global database on building architecture and construction materials for urban climate models Lorena de Carvalho Araujo et al. https://zenodo.org/records/18835769
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