Abstract:Although continental urban areas are relatively small, they are major drivers of environmental change at local, regional and global scales. Moreover, they are especially vulnerable to these changes owing to the concentration of population and their exposure to a range of hydro-meteorological hazards, emphasizing the need for spatially detailed information on urbanized landscapes. These data need to be consistent in content and scale and provide a holistic description of urban layouts to address different user … Show more
“…The e-mail is required since the results of the LCZ Generator are sent via e-mail. If the author consents, the (Stewart and Oke, 2012;Demuzere et al, 2020a). author's first and last name are displayed in the publicly accessible submission table and factsheet (see section 2.4).…”
Section: User Inputmentioning
confidence: 99%
“…Despite this new focus on cities as a critical scale for climate change management, we know very little about most cities on the planet-being generally ignorant of their extent, how they are constructed and how they are occupied (Demuzere et al, 2020a). First and foremost, climate-relevant urban data consistent in coverage, scale, and content are needed to support risk assessment and its management and to enable effective knowledge transfer between cities.…”
Section: Introductionmentioning
confidence: 99%
“…The right data at the right scale are an essential prerequisite for developing fit-for-purpose urban planning policies (Georgescu et al, 2015). A number of projects have mapped the global urban extent at finer and finer detail (e.g., Pesaresi et al, 2013;Corbane et al, 2017;Esch et al, 2017;Gong et al, 2020), but these efforts need to be complemented by a wider range of information-rich intra-urban classes that describe different types of urban land covers and land uses: the Local Climate Zone (LCZ) typology is a good example of such classification scheme (Stewart and Oke, 2012;Demuzere et al, 2020a;Reba and Seto, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…The LCZ classes are formally defined as "regions of uniform surface cover, structure, material, and human activity that span hundreds of meters to several kilometers in horizontal scale, " exclude "class names and definitions that are culture or region specific, " and are characterized by "a characteristic screen-height temperature regime that is most apparent over dry surfaces, on calm, clear nights, and in areas of simple relief " (Stewart and Oke, 2012). Its universality has important advantages, as it allows a systematic comparability of global intra-and inter-urban heat island studies (e.g., Bechtel et al, 2019a), provides a common platform for knowledge exchange and the description of urban canopy parameters in urban ecosystem processes, and supports model applications, especially for cities with little or insufficient data infrastructure (Stewart and Oke, 2012;Ching et al, 2018;Brousse et al, 2019Brousse et al, , 2020bDemuzere et al, 2020a;Varentsov et al, 2020).…”
Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for characterizing urban landscapes, providing a holistic classification approach that takes into account micro-scale land-cover and associated physical properties. In 2015, as part of the community-based World Urban Database and Access Portal Tools (WUDAPT) project, a protocol was developed that enables the mapping of cities into LCZs, using freely available data and software packages, yet performed on local computing facilities. The LCZ Generator described here further simplifies this process, providing an online platform that maps a city of interest into LCZs, solely expecting a valid training area file and some metadata as input. The web application (available at https://lcz-generator.rub.de) integrates the state-of-the-art of LCZ mapping, and simultaneously provides an automated accuracy assessment, training data derivatives, and a novel approach to identify suspicious training areas. As this contribution explains all front- and back-end procedures, databases, and underlying datasets in detail, it serves as the primary “User Guide” for this web application. We anticipate this development will significantly ease the workflow of researchers and practitioners interested in using the LCZ framework for a variety of urban-induced human and environmental impacts. In addition, this development will ease the accessibility and dissemination of maps and their metadata.
“…The e-mail is required since the results of the LCZ Generator are sent via e-mail. If the author consents, the (Stewart and Oke, 2012;Demuzere et al, 2020a). author's first and last name are displayed in the publicly accessible submission table and factsheet (see section 2.4).…”
Section: User Inputmentioning
confidence: 99%
“…Despite this new focus on cities as a critical scale for climate change management, we know very little about most cities on the planet-being generally ignorant of their extent, how they are constructed and how they are occupied (Demuzere et al, 2020a). First and foremost, climate-relevant urban data consistent in coverage, scale, and content are needed to support risk assessment and its management and to enable effective knowledge transfer between cities.…”
Section: Introductionmentioning
confidence: 99%
“…The right data at the right scale are an essential prerequisite for developing fit-for-purpose urban planning policies (Georgescu et al, 2015). A number of projects have mapped the global urban extent at finer and finer detail (e.g., Pesaresi et al, 2013;Corbane et al, 2017;Esch et al, 2017;Gong et al, 2020), but these efforts need to be complemented by a wider range of information-rich intra-urban classes that describe different types of urban land covers and land uses: the Local Climate Zone (LCZ) typology is a good example of such classification scheme (Stewart and Oke, 2012;Demuzere et al, 2020a;Reba and Seto, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…The LCZ classes are formally defined as "regions of uniform surface cover, structure, material, and human activity that span hundreds of meters to several kilometers in horizontal scale, " exclude "class names and definitions that are culture or region specific, " and are characterized by "a characteristic screen-height temperature regime that is most apparent over dry surfaces, on calm, clear nights, and in areas of simple relief " (Stewart and Oke, 2012). Its universality has important advantages, as it allows a systematic comparability of global intra-and inter-urban heat island studies (e.g., Bechtel et al, 2019a), provides a common platform for knowledge exchange and the description of urban canopy parameters in urban ecosystem processes, and supports model applications, especially for cities with little or insufficient data infrastructure (Stewart and Oke, 2012;Ching et al, 2018;Brousse et al, 2019Brousse et al, , 2020bDemuzere et al, 2020a;Varentsov et al, 2020).…”
Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for characterizing urban landscapes, providing a holistic classification approach that takes into account micro-scale land-cover and associated physical properties. In 2015, as part of the community-based World Urban Database and Access Portal Tools (WUDAPT) project, a protocol was developed that enables the mapping of cities into LCZs, using freely available data and software packages, yet performed on local computing facilities. The LCZ Generator described here further simplifies this process, providing an online platform that maps a city of interest into LCZs, solely expecting a valid training area file and some metadata as input. The web application (available at https://lcz-generator.rub.de) integrates the state-of-the-art of LCZ mapping, and simultaneously provides an automated accuracy assessment, training data derivatives, and a novel approach to identify suspicious training areas. As this contribution explains all front- and back-end procedures, databases, and underlying datasets in detail, it serves as the primary “User Guide” for this web application. We anticipate this development will significantly ease the workflow of researchers and practitioners interested in using the LCZ framework for a variety of urban-induced human and environmental impacts. In addition, this development will ease the accessibility and dissemination of maps and their metadata.
“…This is true because previous studies have not had consistent scope and did not explore the impact of local urban context. The microclimate, morphology, and prevailing traffic vary significantly within a city [30][31][32] These differences play an important role in the net impact of pavement albedo modification.…”
We implemented a context-sensitive and prospective framework to assess the global warming potential (GWP) impacts of cool pavement strategies on specific roads for different cities. The approach incorporates several interconnections among different elements of the built environment, such as buildings and urban road segments, as well as the transportation fleet, using specific building and pavement information from an urban area. We show that increasing pavement albedo lowers urban air temperatures but can adversely affect the building energy demand in the areas with high incident radiation exposure. The heating energy savings and the radiative forcing effect improve the GWP savings in a cold and humid climate condition. The total GWP saving intensity is sensitive to the city morphology and road traffic. Our probabilistic results show that cool pavement strategies can offset 1.0-3.0% and 0.7-6.0% of the total GHG emissions of the US cities Boston and Phoenix, respectively, for a 50-year analysis period. The worldwide range of savings can be as large as 5.0 - 44.7 Gt CO2eq. A paradigm shift in pavement strategy selection is required in most of the neighborhoods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.