Dear Colleagues,

Urban climate projections are vital to precisely quantify the future threats to life, from the occurrence of climate disasters (e.g., heatwaves, hurricanes) to the degradation of basic necessities. Of the factors directly considered in climate projections, human-induced surface forcing (e.g., greenhouse gas emissions, land cover modifications) is possibly the most dominant to date. Meanwhile, the urban surface that supplies these forcings is dynamically changing at rates which are spatially heterogeneous and most likely influenced by climatic changes. Eventually, two questions arise: (1) Are there state-of-the-art climate projections that consider these interactions? (2) To what extent is it possible to estimate the contribution of urban/land cover modifications in climate projections?

In this Special Issue, we explore scientific advancements of methodologies and tools that can provide logical climate forecasts or projections that adequately consider pathways of urban/land cover changes (or even unprecedented global changes, such as the current COVID-19 pandemic). The expected time scales are from short-term (e.g., weeks, months) to long-term (i.e., decades, centuries), with spatial scales covering anything from cities to the whole planet. The topics of interest include but are not limited to the following:

• Urban climate change/projection models released or updated within the recent decade;
• Climate projections, or methodologies of such, which consider realistic changes of the urban/land surface;
• Climate projections, or methodologies of such, which consider unprecedented global disasters (e.g., COVID-19);
• Proposals/strategies to forecast changes in the urban/land surface that are climate-induced or vice versa;
• Multiscale downscaling of urban climate projections;
• Recent developments, implementations, or methodologies in global climate models to estimate future urban climate projections.

Dr. Alvin Christopher Galang Varquez
Dr. Makoto Nakayoshi
Dr. Yuya Takane
Guest Editors

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• climate change modeling
• climate projections
• land cover modeling
• land cover projections