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Urban Heat Island (UHI) refers to a phenomenon whereby urban areas experience higher temperatures compared to the surrounding areas. Remote sensing‐based Land Surface Temperature (LST) measurements can be utilized to measure UHI. This study emphasized on geostatistical remote sensing‐based hot spot analysis (Gi*) of UHI in Dhaka, Bangladesh as a way of examining the influences of Land Use Land Cover (LULC) on UHI from 1991 to 2015. Landsat 5 and 7 satellite‐based remote sensing indices were used to explore LULC, UHI and environmental footprints during the study period. The Urban Compactness Ratio (CoR) was used to calculate the urban form and augmented characteristics. The Surface Urban Heat Island (SUHI) intensity (ΔT) was also used to explore the effects of UHI on the surrounding marginal area. Based on our investigations into LULC, we discovered that around 71.34 per cent of water bodies and 71.82 percent of vegetation cover decreased from 1991 to 2015 in Dhaka city. Contrastingly, according to CoR readings, 174.13 km2 of urban areas expanded by 249.77 per cent. Our hot spot analysis also revealed that there was a 93.73 per cent increase in hot concentration zones. Furthermore, the average temperature of the study area had increased by 3.26°C. We hope that the methods and results of this study can contribute to further research on urban climate. [ABSTRACT FROM AUTHOR]

The article highlights the significant contribution of cities to greenhouse gas emissions and the need for increased, coordinated urban climate action, discussing the challenges and opportunities in achieving sustainable and equitable urban transformations through legal and governance perspectives. Topics include the criticality of urban spaces in climate action due to their substantial energy consumption and emissions, the insufficiency of current efforts in mitigating climate risks in cities.

Climate adaptation planning in pursuit of resilient and sustainable societies has become a focal point in urban policy. Climate adaptation planning is generally regarded as separate from traditional urban planning practices. Globally and in Europe, however, cities are increasingly integrating climate adaptation planning into their traditional urban planning instruments and processes. Recent research indicates that the scope of such integration is at varying stages. The City of Rotterdam (Netherlands) and the City of Antwerp (Belgium) have been identified as two European cities that face similar climate impacts and risks given their proximity to a large river delta. Both cities aim to integrate climate adaptation into their respective urban planning policies, but the scope of their integration differs. This paper critically analyses the urban planning policies of these two cities to distil key lessons learnt that cities with similar climate impacts and approaches to urban planning may potentially face in integrating climate adaptation planning into urban planning policies. The paper finds that identifying and evaluating the synergies, co-benefits or trade-offs of adaptation measures is a key challenge to integrating climate adaptation into urban planning policy. It is a potential stumbling block for long-term sustainable development and climate resilience. [ABSTRACT FROM AUTHOR]

The scaling of urban climate action and its governance is rapidly becoming a central focus in the urban climate governance literature and policy debates. Building on the broader scaling literature and inspired by related initiatives in other fields, this article calls for the development of a systematic "science of scaling" for urban climate governance. Such a science of scaling may help to give a better understanding of how well-performing urban climate action and its governance can be multiplied, accelerated and broadened (ie horizontal and vertical scaling and scaling out, up and down), and it may help to uncover scaling trajectories towards systemic change in cities (ie deep scaling). [ABSTRACT FROM AUTHOR]

Urban development creates several inadvertent impacts related to urban climate and human biometeorology. Monitoring systems based on microcontrollers are slowly emerging as an alternative to conventional devices for monitoring outdoor thermal comfort (OTC), thus overcoming limitations imposed by the high costs of commercially available equipment. This review was conducted using the Scopus database, searching for articles and conference papers according to a pre-defined search string, which included the terms "microcontrollers" and "human thermal comfort" up to 2022. From a total sample of 113 articles, 52 papers met the desired criteria (written in English, published in peer-reviewed journals, and within the given time frame). Results show a growing, yet timid trend of published material on low-cost, open-source technologies for diverse applications in human biometeorology. [ABSTRACT FROM AUTHOR]

The editorial article titled "Animation, in theory" highlights the importance of animation theory in understanding future expectations and possible scenarios of this art form. It is mentioned that animation develops in a constantly changing context, which represents a challenge for the discipline. Additionally, it is mentioned that artificial intelligence is having a significant impact on various aspects of life. The article also highlights the short film "Chimborazo," which addresses the life of Baltazar Ushca, an ice gatherer in the Ecuadorian Andes, and reflects on the effects of uncontrolled urban growth and climate change. Finally, the importance of the human factor in animation is mentioned, and other research content related to the topic is presented. [Extracted from the article]

The dynamics of built-up height are a crucial aspect of urban form, enabling the characterization of urban growth patterns and the attainment of sustainable development goals. While past studies have focused on urban extent mapping, little has been done to reveal changes in vertical structures in built-up areas. In this study, we reconstructed annual urban form dynamics in Beijing, China, from 1990 to 2020, utilizing Landsat time-series data. First, we identified urban growth and renewal years using a temporal segmentation approach. Then, we reconstructed the annual dynamics of built-up heights through logical reasoning, using the reference height in 2020 and the identified changing years. We evaluated the derived dataset and analyzed the urban growth patterns (i.e., upward and outward) over the past three decades. The detected change years are reliable, with an overall accuracy of 88% (± 1 year). Meanwhile, the reconstructed built-up height data showed good agreement with surveyed results (R2: 0.92), with a root mean square error of 2.87 m and a mean absolute error of 2.07 m. Most expanded built-up areas during 1990–2020 were located at the fringe of the central city, and about 16% experiencing multiple changes. Overall, outward growth was prominent in Beijing during the first decade, while upward growth became dominant in most districts thereafter. The proposed framework provides a new way to reveal annual urban form dynamics through time series analysis, with great potential to support relevant studies such as urban climate modeling and carbon emissions studies. [ABSTRACT FROM AUTHOR]

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Rapid urbanization and climate change effects may cause dramatic changes in ecosystem functions in cities, thereby inevitably affecting the growth performance of old trees. Few studies have explored species diversity and spatial differentiation in Benin urban areas. This study aims to explore this dimension of urban ecology in order to build resilience to climate change in the city of Cotonou. Its objective was to determine the predominant level of tree diversity in the city's land use units. The urban green frame was subdivided into six land use units, namely, establishments, residences, green spaces, commercial areas, administrative areas, and roads. The forest inventories were carried out in 149 plots with surfaces evaluated at 2500 m2 each. The IVI, an index that highlights the relative density, relative dominance, and relative frequency of species, has been used to characterize the place occupied by each species in relation to all species in urban ecosystems. This shows ecological importance through the diversity and quality of ecosystems, communities, and species. A total of 62 tree species in 55 genera and 27 families were recorded. The results show that the flora of the city of Cotonou is characterized by a strong preponderance of exotic species with some differences in species presence. The most abundant species with high ecological importance (IVI) in the different types of land use of the city are Terminalia catappa (IVI = 121.47%), Terminalia mantaly (IVI = 90.50%), Mangifera indica (IVI = 64.06%), and Khaya senegalensis (IVI = 151.16%). As the use of ecosystem services is recommended to tackle urban climate hazards, this study shows that direct development of this urban vegetation could improve the resilience of urban life to climate hazards through the provision of urban ecosystem services, potential ecological infrastructure foundations, and urban nature-based solutions. [ABSTRACT FROM AUTHOR]

Cities around the world are facing the implications of a changing climate as an increasingly pressing issue. The negative effects of climate change are already being felt today. Therefore, adaptation to these changes is a mission that every city must master. Leading practices worldwide demonstrate various urban efforts on climate change adaptation (CCA) which are already underway. Above all, the integration of climate data, remote sensing, and in situ data is key to a successful and measurable adaptation strategy. Furthermore, these data can act as a timely decision support tool for municipalities to develop an adaptation strategy, decide which actions to prioritize, and gain the necessary buy-in from local policymakers. The implementation of agile data workflows can facilitate the integration of climate data into climate-resilient urban planning. Due to local specificities, (supra)national, regional, and municipal policies and (by) laws, as well as geographic and related climatic differences worldwide, there is no single path to climate-resilient urban planning. Agile data workflows can support interdepartmental collaboration and, therefore, need to be integrated into existing management processes and government structures. Agile management, which has its origins in software development, can be a way to break down traditional management practices, such as static waterfall models and sluggish stage-gate processes, and enable an increased level of flexibility and agility required when urgent. This paper presents the findings of an empirical case study conducted in cooperation with the City of Constance in southern Germany, which is pursuing a transdisciplinary and trans-sectoral co-development approach to make management processes more agile in the context of climate change adaptation. The aim is to present a possible way of integrating climate data into CCA planning by changing the management approach and implementing a toolbox for low-threshold access to climate data. The city administration, in collaboration with the University of Applied Sciences Constance, the Climate Service Center Germany (GERICS), and the University of Stuttgart, developed a co-creative and participatory project, CoKLIMAx, with the objective of integrating climate data into administrative processes in the form of a toolbox. One key element of CoKLIMAx is the involvement of the population, the city administration, and political decision-makers through targeted communication and regular feedback loops among all involved departments and stakeholder groups. Based on the results of a survey of 72 administrative staff members and a literature review on agile management in municipalities and city administrations, recommendations on a workflow and communication structure for cross-departmental strategies for resilient urban planning in the City of Constance were developed. [ABSTRACT FROM AUTHOR]

Urban heat islands (UHIs) caused by urbanization have become a major issue affecting the sustainable development of the ecological environment. The distribution of UHIs is mainly affected by the reflection and transmission of heat radiation caused by differences in urban spaces, and the anthropogenic heat emissions caused by social activities. At present, the research on the urban thermal environment involves two spatial classification systems: local climate zone (LCZ), based on urban morphology and spatial patterns; and urban functional zone (UFZ), based on socio-economic activities. It is not clear whether there are association rules between these two systems in different cities. Against this background, this study explores the association rules between the UFZ and LCZ classification systems using the selected Chinese cities in different regions as typical examples. Our results confirm that there are common association rules from UFZ to LCZ, as the form of buildings is greatly influenced by the types of functional areas in urban construction. Specifically, the medical zone corresponds to the compact mid-rise zone (LCZ2); the business service area and the office area also correspond to the compact zone (LCZ1-LCZ3); and the industrial area corresponds to the compact low-rise zone (LCZ3). These functional zones have the same association rules in different cities. The cross-regional mining of the relationship between different urban functional systems will help to coordinate different planning departments and carry out the integration of multiple spatial plans. Furthermore, we found that LCZ has a better differentiation effect on the surface temperature through our comparison research, which makes it more suitable as a reference for research on the thermal environment and the heat island effect. [ABSTRACT FROM AUTHOR]

Flooding is exacerbated by climate change, and the ecosystem functions of wetlands can assist in mitigating risk and contribute to climate adaptation. Nature based solutions (NbS) have emerged as an alternative to the exclusive reliance on grey infrastructure to drive climate adaptation responses to flooding. This article critically examines the role of planning law to facilitate NbS in the urban context of Dhaka, Bangladesh. The article will explore the following research question: does land use planning law in Bangladesh help facilitate the establishment and maintenance of NbS to assist in adapting to climate flood risk? This article will assess existing planning law on its ability to integrate NbS into the urban climate adaptation context while managing competing and incompatible land use and upholding strong, transparent and equitable governance. This article finds that the inability to enforce regulations and a lack of early consultation and engagement presents serious impediments to implementing NbS through planning law and development policy in Dhaka and contributes to a disconnect between high level policy documents and implementation on the ground, thereby undermining climate change adaptation interventions. [ABSTRACT FROM AUTHOR]

Systemic inequalities, which affect how water is distributed and used, underlie water insecurities in higher-income (global North) countries. We explore the interlinkages between municipal decision-making and infrastructure to understand how urban climate justice can be advanced through engaging with state-like forms of governance. Drawing on archival information, spatial analysis, participant observation, and semi-structured interviews in the underbounded Latinx community of East Porterville, California, we analyze how local actors actively work against municipal-scale processes of infrastructure exclusion and production, within and beyond the state, to facilitate water access and particular notions of citizenship. We argue urban climate justice demands both an understanding of infrastructural marginalization, and attention to the diversity of perspectives, approaches, and solutions preferred by communities. [ABSTRACT FROM AUTHOR]

This paper presents a methodology to improve energy efficiency and sustainability in urban environments. The ongoing climate change is causing increasingly important consequences for cities and their inhabitants. Temperatures are rising and human thermal comfort conditions are becoming worse. For this reason, it is essential to evaluate how parts of cities react to these phenomena and how they could improve their behavior. To do this, the area of interest has to be analyzed from various aspects, starting with an assessment of the microclimatic conditions. Through these analyses, it is possible to observe the interactions between climate and the urban context on a macro-scale. The actual results, such as surface temperature and air temperature, will be useful for hypothesizing where different paved surfaces need to be restored with mitigative actions. Another aspect that needs to be considered for a comprehensive analysis of the area's potential concerns the study of solar potential. We will describe how this topic was approached, making in-depth evaluations of the quality of the results obtained through the analysis of simplified models. The portability of these data within a spatial domain was also evaluated, integrating the values on a territorial database. Another important topic that needs to be analyzed to plan an improvement of an area in terms of energy production is the installation of new solar active production systems. The appropriate inclusion of photovoltaic panels could lead to the near self-sustainability of buildings by decreasing the external energy demand. The results obtained by applying the methodology in a case study highlight that all these aspects must be taken into account simultaneously to improve the existing conditions of entire city areas, leading to a more sustainable urban environment. [ABSTRACT FROM AUTHOR]

Climate change and its corollaries suggest that urban planning tools and strategies need to integrate adaptation and resilience approaches into urban development. This study aims to inform decision makers and the scientific community of the importance of appropriating data on urban adaptation and resilience strategies in the city of N'Djaména. After sampling 519 city dwellers, oriented questionnaires and focus groups were used to collect socio-demographic parameters, major climate risks, their impacts on urban issues and the urban resilience strategies employed. The various exposure and impact indices were used to identify and prioritize climate risks and urban exposure issues with the populations concerned. The study highlighted three major climatic hazards, namely, flooding, heat waves and strong winds, and their impact on social and community facilities, the living environment and human health. Ten vulnerability factors have been identified, of which the intrinsically geophysical factors are most familiar to the city's population. The principal component analysis (PCA) illustrates ten (10) strategies for adaptation and resilience to urban climate risks. To meet the climatic challenges in urban areas, this study makes several short-, medium- and long-term recommendations to decision makers. [ABSTRACT FROM AUTHOR]

Positive school climates are associated with numerous benefits for students and school staff. Although there is some evidence that the implementation of school-wide positive behavioral interventions and supports (SWPBIS) impacts features of school climate, such as organizational health, the specific aspects of SWPBIS that contribute to climate have yet to be investigated. In this study, we examined how different components of SWPBIS predicted 490 school staff members' perceptions of school climate. After controlling for race and time in the profession, aspects of staff members' school climate perceptions were positively predicted by the teaching of behavioral expectations and having well-defined corrective consequence systems, and they were negatively predicted by district support for the SWPBIS initiative and having strong school-wide reward systems. These results have implications for which components of SWPBIS schools should prioritize for training and development to have the strongest impact on their staff members' perceptions of school climate. [ABSTRACT FROM AUTHOR]

Ecologies of zoonotic vector-borne diseases may shift with climate and land use change. As many urban-adapted mammals can host ectoparasites and pathogens of human and animal health concern, our goal was to compare patterns of arthropod-borne disease among medium-sized mammals across gradients of rural to urban landscapes in multiple regions of California. DNA of Anaplasma phagocytophilum was found in 1–5% of raccoons, coyotes, and San Joaquin kit foxes; Borrelia burgdorferi in one coyote, rickettsiae in two desert kit foxes, and Yersinia pestis in two coyotes. There was serological evidence of rickettsiae in 14–37% of coyotes, Virginia opossums, and foxes; and A. phagocytophilum in 6–40% of coyotes, raccoons, Virginia opossums, and foxes. Of six flea species, one Ctenocephalides felis from a raccoon was positive for Y. pestis, and Ct. felis and Pulex simulans fleas tested positive for Rickettsia felis and R. senegalensis. A Dermacentor similis tick off a San Joaquin kit fox was PCR-positive for A. phagocytophilum. There were three statistically significant risk factors: risk of A. phagocytophilum PCR-positivity was threefold greater in fall vs the other three seasons; hosts adjacent to urban areas had sevenfold increased A. phagocytophilum seropositivity compared with urban and rural areas; and there was a significant spatial cluster of rickettsiae within greater Los Angeles. Animals in areas where urban and rural habitats interconnect can serve as sentinels during times of change in disease risk. [ABSTRACT FROM AUTHOR]

The article "Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates" published in Frontiers in Energy Research corrects errors in the author list and affiliation. The corrected author list includes Amiraslan Darvish, and the affiliation for Mostafa Kazemi is updated to Royal Roads University in Canada. The authors emphasize that these corrections do not impact the scientific conclusions of the article. The study was conducted by researchers from various institutions worldwide, highlighting a collaborative and diverse approach to the research topic. [Extracted from the article]

This document is a corrigendum for an article titled "An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates." The corrigendum acknowledges an error in the author list, specifically the exclusion of author Amiraslan Darvish. The corrected author list is provided, and it is stated that this error does not affect the scientific conclusions of the article. The document also includes a note from the publisher stating that the claims expressed in the article are solely those of the authors and do not necessarily represent the views of their affiliated organizations or the publisher. The article was received, accepted, and published in August 2024. The authors and their affiliations are listed at the end of the document. [Extracted from the article]

BAMS spoke with Steve LaDochy and Mike Witiw about their book, Fire and Rain: California's Changing Weather and Climate. LaDochy is professor emeritus of geography, geology, and environment at California [...]

[Display omitted] Urban thermal anisotropy (UTA) drastically impacts satellite-derived urban surface temperatures and fluxes, and consequently makes it difficult to gain a more comprehensive understanding of global urban climates. However, UTA patterns and associated biases in observed urban climate variables have not been investigated across an adequate number of global cities with diverse contexts; nor is it known whether there are globally measurable factors that are closely related to the UTA intensity (UTAI, quantified as the maximum difference between the nadir and off-nadir urban thermal radiation). Here we investigate the UTAI over more than 5500 cities worldwide using multi-angle land surface temperature (LST) observations from 2003 to 2021 provided by Moderate Resolution Imaging Spectroradiometer (MODIS). The results show that the global mean UTAI can reach 5.1, 2.7, 2.4, and 1.7 K during summer daytime, winter daytime, summer nighttime, and winter nighttime, respectively. Using nadir LST observations as a reference, our analysis reveals that UTA can lead to an underestimation of satellite-based urban surface sensible heat fluxes (H) by 45.4% and surface urban heat island intensity (I s) by 43.0% when using LST observations obtained from sensor viewing zenith angles (VZAs) of ±60°. Practitioners can limit the biases of H and I s within ±10% by using LSTs from sensor VZAs within ±30°. We also find that UTAI is closely related to urban impervious surface percentage and surface air temperature across global cities. These findings have implications for angular normalization of satellite-retrieved instantaneous LST observations across cities worldwide. [ABSTRACT FROM AUTHOR]

The urban expansion‐induced heat can exacerbate heat stress for urban dwellers, especially during heat waves. With a focus on the intra‐urban variability of urban heat islands (UHIs) and thermal comfort, the urban parameterization within the Community Land Model version 5 (CLM5) was modified incorporating the local climate zones (LCZs) framework, named CLM5‐LCZs, to simulate the urban climate during a heat wave (HW) event in the summer of 2013. The evaluation of model performance demonstrated that it did a reasonable job of simulating surface energy balance and thermal regimes in cities against observational fluxes from a flux tower measurement site and temperatures from automatic meteorological stations in Nanjing, China. Then we investigated the characteristics and causes of UHIs associated with local background climate, intra‐urban inhomogeneity and HW intensity in East China. The results exhibited that daytime and nighttime canopy urban heat island intensity (CUHII) were highest in the Compact Low Rise (LCZ3) and the Compact High Rise (LCZ1) areas, respectively, while surface urban heat island intensity (SUHII) peaked in the Large Low Rise (LCZ8) and the Compact High Rise (LCZ1) areas during daytime and nighttime, respectively. Urban dwellers were easier exposed to serious heat environment in LCZ3 and LCZ1 areas over the north subtropical climate zone. Contrasts of CUHII and SUHII among different urban classes could exceed 1.7°C and 5.4°C. The intra‐urban heterogeneity may alter the dominant factors controlling SUHII, which were also modulated by local climate and HW intensity. Unlike other controlling factors, the impact of local climate on the contribution from the urban‐rural contrast of convection efficiency was larger than urban features. Overall, CLM5‐LCZs displayed potential of implementing detailed simulations for inter‐ and intra‐city UHIs at a larger scale, and enhancing the capabilities in modeling urban climate and exploring the causes and controls of UHIs. Plain Language Summary: The Community Land Model Urban (CLMU) is the urban parameterization within the Community Land Model version 5 (CLM5) to simulate urban climate and human thermal comfort. The local climate zones (LCZs) framework has been utilized to facilitate communications and studies of urban climate knowledge, which was applied to update the CLMU by substituting the current urban density class representation in the model in this study. The modified model was evaluated by comparing its simulated results with observations to demonstrate its credibility. This work aimed to investigate: (a) the intra‐urban variability of urban heat islands (UHIs) and heat stress, (b) the impact of urban features on UHIs, (c) the response of UHIs, thermal comfort and controlling factors of UHIs to the occurrence of heat waves. It was useful to investigate the features, causes and controls of UHIs as well as the combined effects of between heat waves and UHIs for this model. The results indicated that temperature behaviors and thermal comfort levels varied with urban form and materials. This intra‐urban heterogeneity significantly affected quantitative contributions to surface UHIs from the urban‐rural contrast of various biogeophysical properties, which were regulated by local background climate and heat wave intensity. Key Points: The Community Land Model Urban (CLMU) was developed by incorporating the local climate zones (LCZs) frameworkThe intra‐urban variability of urban heat islands (UHIs) and urban thermal comfort modulated by background climate in the 2013 heatwave episode were exploredThe dominant factors of surface UHIs vary with intra‐urban heterogeneity and are also regulated by heat wave intensity and local climate [ABSTRACT FROM AUTHOR]

A comprehensive comparison of the trends and drivers of global surface and canopy urban heat islands (termed Is and Ic trends, respectively) is critical for better designing urban heat mitigation strategies. However, such a global comparison remains largely absent. Using spatially continuous land surface temperatures and surface air temperatures (2003–2020), here we find that the magnitude of the global mean Is trend (0.19 ± 0.006°C/decade, mean ± SE) for 5,643 cities worldwide is nearly six‐times the corresponding Ic trend (0.03 ± 0.002°C/decade) during the day, while the former (0.06 ± 0.004°C/decade) is double the latter (0.03 ± 0.002°C/decade) at night. Variable importance scores indicate that global daytime Is trend is slightly more controlled by surface property, while background climate plays a more dominant role in regulating global daytime Ic trend. At night, both global Is and Ic trends are mainly controlled by background climate. Plain Language Summary: Surface and canopy urban heat islands (surface and canopy UHIs, termed Is and Ic) are two major UHI types. These two counterparts are both related to urban population heat exposure and have long been a focus of urban climate research. However, the differences in the trends and major determinants of Is and Ic over global cities remain largely unclear. Based on spatially continuous land surface temperature and surface air temperature observations from 2003 to 2020, we find that the global mean Is trends are about 6.3 times and 2 times the Ic trends during the day and at night, respectively. During the day, the global Is trend is more regulated by surface property than by background climate, and vice versa for global Ic trend. At night, both the global Is and Ic trends are mainly regulated by background climate. These findings are important for better understanding global urban climate change and informing heat mitigation strategies. Key Points: The global Is trend is six‐fold and twofold larger than the Ic trend during the day and at night, respectivelyDuring the day, global Is trend is slightly more controlled by surface property, yet background climate plays a dominant role in Ic trendAt night, both global Is and Ic trends are more regulated by background climate [ABSTRACT FROM AUTHOR]

This paper empirically analyses the relationship between urban form and Urban Heat Island (UHI) in a dataset of 523 European cities that matches remotely sensed land-use and surface temperature data. A UHI anomaly is defined as an uninterrupted streak of days where the temperature differential measured at 12.00 AM between the city core and its surroundings is higher than a given threshold. From this definition, three UHI indicators are obtained: mean intensity, mean duration of the event and occurrence rate. We study the influence of urban morphology on the UHI indictors with a Heckman model. A sample selection bias is detected for mean intensity and mean duration. The estimation results also show that some urban morphological features have a mitigating effect, while some others play a role at the adaptation level. [ABSTRACT FROM AUTHOR]

Existing studies often use the association between sector sizes to test the supplementary and complementary models of government–nonprofit relations, assuming that one mode of government–nonprofit relations dominates a policy subsector. We challenge this assumption and propose that the relationship between nonprofit sector size and the breadth of local government policy actions depends on their level of collaboration. Situated in the context of urban climate governance and drawing information from a national survey of U.S. local government climate actions, we test this modified model and find a statistically significant moderation effect of collaboration. However, contrary to our proposed hypotheses, our findings suggest that a positive association between the number of environmental nonprofits and governmental climate actions exists when the level of government–nonprofit collaboration is low to moderate. We posit that the adversarial lens of government–nonprofit relations and the cost of collaboration are key to understanding these surprising findings. [ABSTRACT FROM AUTHOR]

Urbanization transforms simple two-dimensional natural spaces into complex three-dimensional (3D) artificial spaces through intense land use. Hence, urbanization continuously transforms vertical urban settings and the corresponding sky view area. As such, collecting data on urban settings and their interactions with urban climate is important. In this study, LiDAR remote sensing was applied to obtain finer-resolution footprints of urban-scale buildings and tree canopies (TCs). Additionally, a related sky view factor (SVF) analysis was performed. The study site comprised an area of Incheon Metropolitan City (501.5 km2). Results show that the proposed method can be applied to update institutional land maps, enhance land use management, and implement optimized and balanced urban settings. [ABSTRACT FROM AUTHOR]

Urban adaptation to climate change is a global challenge requiring a broad response that can be informed by how urban societies in the past responded to environmental shocks. Yet, interdisciplinary efforts to leverage insights from the urban past have been stymied by disciplinary silos and entrenched misconceptions regarding the nature and diversity of premodern human settlements and institutions, especially in the case of prehispanic Mesoamerica. Long recognized as a distinct cultural region, prehispanic Mesoamerica was the setting for one of the world's original urbanization episodes despite the impediments to communication and resource extraction due to the lack of beasts of burden and wheeled transport, and the limited and relatively late use of metal implements. Our knowledge of prehispanic urbanism in Mesoamerica has been significantly enhanced over the past two decades due to significant advances in excavating, analyzing, and contextualizing archaeological materials. We now understand that Mesoamerican urbanism was as much a story about resilience and adaptation to environmental change as it was about collapse. Here we call for a dialogue among Mesoamerican urban archaeologists, sustainability scientists, and researchers interested in urban adaptation to climate change through a synthetic perspective on the organizational diversity of urbanism. Such a dialogue, seeking insights into what facilitates and hinders urban adaptation to environmental change, can be animated by shifting the long-held emphasis on failure and collapse to a more empirically grounded account of resilience and the factors that fostered adaptation and sustainability. [ABSTRACT FROM AUTHOR]

Urban areas mediate climate transformations and generate new forms of climate urbanism. Looking at climate action in the twelve fastest-growing cities in China with under one million people, this paper proposes a perspective on urban climate politics 'from elsewhere' that foregrounds the potential role of smaller urban areas in mediating climate transformations. The analysis reveals three climate action strategies that reflect practical, institutional, and personal spheres of climate transformations. Planning action in the personal sphere provides opportunities for urban transformations. A perspective 'from elsewhere' calls for greater attention to planning for diverse change strategies for climate transformation. [ABSTRACT FROM AUTHOR]

Urban climate governance scholarship has paid little attention in Sub-Saharan Africa, where studies of this kind are needed. Using semi-structured interviews with officials from three local governments with populations less than 300,000 inhabitants, this paper explores how centralized climate policies are implemented locally in Ghana. The results show that though the national climate policies are good tools, local government's ability to implement them is quite limited due to a lack of independence and funding to make climate decisions. But with the growing climate crisis, the paper concludes that urban climate governance is likely to improve especially in developing countries. [ABSTRACT FROM AUTHOR]

The convection-permitting regional climate model CNRM-AROME was applied on a spatial domain restricted to the northern half of France for analyzing its performances in simulating the urban climate of Paris region, and its potential added value compared to the regional climate model CNRM-ALADIN. In addition to its fine horizontal resolution (2.5 km compared to 12.5 km for CNRM-ALADIN), CNRM-AROME has the advantage of integrating the urban canopy model TEB into its land-surface modeling system. A hindcast simulation was performed for the past period 2000–2017, following an evaluation configuration for which CNRM-AROME was driven by CNRM-ALADIN, driven itself by the ERA-Interim reanalyses. Long-term gridded observations with kilometric resolution allowed a fine spatial scale evaluation of the atmospheric variables simulated by both models. They showed in particular a significant overestimation of spring precipitation, but an improvement of summer precipitation in CNRM-AROME compared to CNRM-ALADIN. Above all, thanks to its horizontal resolution and the use of a dedicated urban model, CNRM-AROME was shown to offer significant added value for the simulation of urban heat islands, for the mapping of heat-warming areas, and for representing the effects of the city on precipitation. It is a promising tool to diagnose climatic and impact indicators at the city scale, and their evolution in a changing climate. [ABSTRACT FROM AUTHOR]

Research on norm domestication in multi‐level governance structures is overlooked in urban climate governance and policy literature. This paper conceptualizes multi‐scalar interactions of norm domestication for local climate actions. The city of Phoenix, which operates under the "purple" (blue cities and red legislatures) state of Arizona, is analyzed to illustrate how a local government can take up the climate actions left in the void at the state and federal levels. The empirical findings reveal important temporal politics at the state level that influenced the local government's climate norm domestication. The period of Democratic party leadership diffused climate norms at the state‐level and positioned the local government more as a climate policy‐taker, adopting decisions from the state legislature. Swings in the state‐level executive orders under the subsequent period of Republican leadership, however, forced the local government to seek some common ground for norm domestication, usually related to the nonpartisan goals of economic development. Consequently, local climate actions are subject to depoliticization of climate change from the higher‐level governance structures. Overall, decarbonization targets are not being directed in ways that lead to a broader shift in the socio‐technical system but would support short‐term emission reductions if multiple institutions, both at the state and sub‐state levels, created spaces for collaboration rather than competition. [ABSTRACT FROM AUTHOR]

Studies that focus on different urban governance structures, especially unitary states and semi-authoritarian regimes, are still lacking in the urban climate governance literature. This research aims to explain how climate change is governed under a unitary state structure, particularly focusing on how urban climate governance incorporates higher-level government policy and external stakeholders to set a climate agenda and actions. Four main themes are framed from the urban climate governance literature, including agenda setting, the divergence between the existing policies and urban climate agendas, policy entrepreneurs' roles, and civil society organizations. By focusing on the four themes, we aim to understand how climate change is governed in Istanbul, the biggest and the richest city of Turkey, under a unitary system of government. Based on semi-structured interviews, field notes based on participant-observations, and review of existing official documents, we find that swings in political leadership, the divergence between the existing laws and newly adopted urban climate agendas, and conflicting priorities between policy entrepreneurs generate barriers to long-run and tangible climate change actions in Istanbul. Nevertheless, we argue there is an opportunity space for local governments to co-create new governance mechanisms, as the national government does not have the capacity to lead climate change action, nor is there a political will and focus at the highest levels of government to engage deeply in this policy space. [ABSTRACT FROM AUTHOR]

2030 has been set as the target for achieving most of the sustainable development goals and in this path urban open and green spaces have been identified as drivers and accelerators for increasing resilience and adapting cities to climate change. The pandemic has acted as a further catalyst for the reorganization and re-assessment of the role of open spaces. This work focuses on the system of urban open and green spaces whose planning and design, through a systemic approach, can address the current and future urban challenges such as climate change. The main aim of the paper is to define the key elements for the planning and design of urban and open green spaces, starting from the EU referring framework and the case study of Malta. The outputs can support the local decision-makers in increasing the sustainability and resilience of urban areas by improving the provision of these physical elements. Findings suggest that EU and international strategies advocate urban open and green spaces as an indisputable requirement for increasing resilience, energy sustainability and adaptive capacity of urban systems. However, in comparison, there is still scope for improvement when considering Malta's planning framework. While there is a growing sentiment for the appreciation and need for green open spaces from the users, important characteristics are still lacking within planning processes. [ABSTRACT FROM AUTHOR]

As the frequency and intensity of heat waves will continue to increase in the future, accurate and high-resolution mapping and forecasting of human outdoor thermal comfort in urban environments is of great importance. This study presents a machine learning based outdoor thermal comfort model with a good trade-off between computational cost, complexity, and accuracy compared to common numerical urban climate models. The machine learning approach is basically an emulation of different numerical urban climate models. The final model consists of four sub-models that predict air temperature, relative humidity, wind speed, and mean radiant temperature based on meteorological forcing and geospatial data on building form, land cover, and vegetation. These variables are then combined into a thermal index (Universal Thermal Climate Index - UTCI). All four sub-model predictions and the final model output are evaluated using street-level measurements from a dense urban sensor network in Freiburg, Germany. The final model has a mean absolute error of 2.3 K. Based on a city-wide simulation for the city of Freiburg we demonstrate that the model is fast and versatile enough to simulate multiple years at hourly timesteps to predict street-level UTCI at 1 m spatial resolution for an entire city. Simulations indicate that neighborhood-averaged thermal comfort conditions vary widely between neighborhoods, even if they are attributed to the same local climate zones, e.g. due to differences in age and degree of urban vegetation. Simulations also show contrasting differences in the location of hot spots during the day and at night. [ABSTRACT FROM AUTHOR]

Background: Urban heat island (UHI) is an urban climate phenomenon that primarily responds to urban conditions and land use change. The extent of hard surfaces significantly influences the thermal properties of the land. To address this issue, a novel approach quantifying the association between land use and UHI is developed. This study offers a new technique for effectively estimating the effect of land use on the UHI intensity using the combination of urban heat intensity index (UHII) and land contribution index (LCI) derived from Landsat 8 OLI images. The time-series thermal effect of land use on the UHI intensity can be determined according to the ratio in mean temperature between specific land use and the whole study site. The study was conducted in the Hulu Langat district, Malaysia during 2014–2021. Results: The UHI intensity rose from 0.19 in 2014 to 0.70 in 2021. The negative value of LCI for vegetation areas and water bodies obtained its negative contribution to the urban heat island, while the positive value of LCI for bare areas and built-up areas showed its positive effect on the urban heat island. The LCI value for urban areas showed a significant increase in the 7 years such as 0.51, 0.66, 0.69, and 0.75 for periods 2014, 2016, 2018, and 2021, respectively. The change in LCI from 2014 to 2021 for the transformation of bare area and forest was recorded to be 0.23 and − 0.02, respectively. Thus, the conversion of forests into urban areas had a negative effect on the increment of UHI intensity. Conclusions: Overall, these findings are useful for policy-making agency in developing an effective policy for reducing high UHI intensity and planning long-term land use management. [ABSTRACT FROM AUTHOR]