Urban Climate最新文献_第8页

Development of downscaling technology for land surface temperature: A case study of Shanghai, China 地表温度降尺度技术的发展——以上海市为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-10 DOI: 10.1016/j.uclim.2025.102412

Shitao Song , Jun Shi , Dongli Fan , Linli Cui , Hequn Yang

{"title":"Development of downscaling technology for land surface temperature: A case study of Shanghai, China","authors":"Shitao Song , Jun Shi , Dongli Fan , Linli Cui , Hequn Yang","doi":"10.1016/j.uclim.2025.102412","DOIUrl":"10.1016/j.uclim.2025.102412","url":null,"abstract":"<div><div>Rapidly urbanizing megacities face multiple challenges such as heat island effect and ecological degradation. High-precision land surface temperature (LST) data is critical for optimizing urban planning and environmental management. However, the spatial resolution of LST data obtained by satellite alone is low, which has certain limitations in urban-scale analysis. Based on ECMWF ERA5-Land reanalysis data, Landsat, Sentinel and other remote sensing data, as well as ground station observation data, this paper takes Shanghai, China as a case study, uses two machine learning algorithms, Random Forest (RF) and eXtreme Gradient Boosting (XGBoost), and Multiple Linear Regression (MLR) method, to downscale and monitor LST with fine resolution. Results show that the three downscaling methods all have good fitting effects, with XGBoost emerging as a standout performer, with an impressive coefficient of determination (R<sup>2</sup>) of 0.97, a minimal root mean square error (RMSE) of 1.14 °C and a mean absolute error (MAE) of 1.85 °C. MODIS data is further upgraded from low resolution to higher resolution, and finally realizes multi-level downscaling from 1000 m to 30 m and 10 m, which greatly improves the monitoring accuracy of LST in urban areas, and supports the identification and evaluation of subtle spatial differences in heat island effect and microclimate characteristics. In addition, the results of this study have been successfully transferred to the Google Earth Engine (GEE) platform to achieve rapid update and analysis. This innovative application provides technical support for real-time and dynamic urban thermal environment monitoring, helping to optimize the management and decision-making of environmental resources.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102412"},"PeriodicalIF":6.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the pollution abatement effect of artificial intelligence policy: Evidence from a quasi-natural experiment in China 评估人工智能政策的污染减排效果：来自中国准自然实验的证据

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-10 DOI: 10.1016/j.uclim.2025.102402

Changfei Nie , Zhanmei Huang , Yuan Feng

{"title":"Evaluating the pollution abatement effect of artificial intelligence policy: Evidence from a quasi-natural experiment in China","authors":"Changfei Nie , Zhanmei Huang , Yuan Feng","doi":"10.1016/j.uclim.2025.102402","DOIUrl":"10.1016/j.uclim.2025.102402","url":null,"abstract":"<div><div>Artificial intelligence (AI) policy refers to a series of regulations, strategies and measures formulated by governments, international organizations or industry bodies to guide the research, development, deployment and application of AI. In recent years, the potential of AI policy in pollution abatement has received widespread attention. In this study, we use China's National New Generation Artificial Intelligence Innovation and Development Pilot Zone (AIIDPZ) policy as a quasi-natural experiment to evaluate the impact of AI policy on urban environmental pollution (EP). Specifically, we construct a staggered difference-in-differences (DID) model and find that the AIIDPZ policy help reduce EP. In terms of potential mechanisms, we find that the AIIDPZ policy mainly abate EP through increasing fiscal technology expenditure, improving the level of green technology innovation and promoting economic agglomeration. Heterogeneity test reveals that the pollution abatement effect is more significant in cities with high levels of EP, as well as eastern cities, southern cities, non-resource-based cities and gigabit cities. Our findings provide important references for policymakers to scientifically utilize AI policies to achieve sustainable development.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102402"},"PeriodicalIF":6.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Changing climate in Italian cities and Italian building regulations: Analysis focused on future climate change scenarios 意大利城市的气候变化和意大利建筑法规：对未来气候变化情景的分析

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-10 DOI: 10.1016/j.uclim.2025.102408

Krizia Berti , David Bienvenido-Huertas , Carlos Rubio-Bellido , Irene Romero-Recuero

{"title":"Changing climate in Italian cities and Italian building regulations: Analysis focused on future climate change scenarios","authors":"Krizia Berti , David Bienvenido-Huertas , Carlos Rubio-Bellido , Irene Romero-Recuero","doi":"10.1016/j.uclim.2025.102408","DOIUrl":"10.1016/j.uclim.2025.102408","url":null,"abstract":"<div><div>Nowadays, the comfort conditions need to be assured throughout buildings lifetime. The building stock is not designed to cope with the climate variations expected in the coming decades. In this context, the climate classification used by countries to define the climate differences among the various areas of the country is of great relevance. This study analyses the climate classification of Italy under both current and future climate change scenarios. The aim is to show the obsolescence of the current climate classification regarding climate change by adapting the degree-day methodology to the climate data of the RCP 2.6, RCP 4.5, and RCP 8.5 scenarios in 2050 and 2100. The research shows that the degree-day variations predicted for the coming decades could totally change the configuration of the Italian climate zoning. By maintaining the current climate zoning in future scenarios, most municipalities would move at least one climate zone below, encouraging the thermal inefficiency of Italy's building stock in the coming decades and therefore, increasing the risk of energy poverty in the country.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102408"},"PeriodicalIF":6.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Government-involved urban meteorological networks (UMNs): A global review 政府参与的城市气象网络（UMNs）：全球综述

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-10 DOI: 10.1016/j.uclim.2025.102409

Carmen Hau Man Wong , Yu Ting Kwok , Yueyang He , Edward Ng

{"title":"Government-involved urban meteorological networks (UMNs): A global review","authors":"Carmen Hau Man Wong , Yu Ting Kwok , Yueyang He , Edward Ng","doi":"10.1016/j.uclim.2025.102409","DOIUrl":"10.1016/j.uclim.2025.102409","url":null,"abstract":"<div><div>Studies on urban climate are important to this rapidly urbanizing world as they play a role in monitoring the quality of life in urban areas. Urban meteorological networks (UMNs) have thus emerged in recent decades to collect data for urban climate research worldwide. Government involvement in an UMN project is beneficial to standardizing network configurations, maintaining stations durability, striking a balance between stakeholders from various disciplines, and the implementation of future climate-related policies. This review draws upon a total of 33 government-involved projects, examining their project objectives and outcomes, UMN configurations, and management methods. There are two common network types: single-sourced UMNs which are deployed more systematically, and crowdsourced UMNs which can be managed in a more cost-efficient manner while promoting citizen science. A major advantage of UMNs over conventional regional meteorological networks is its high-density setting that can increase spatial resolution of weather observations within the city. However, most UMNs are still at an experimental stage, and have room for improvement in data quality and robustness. Nevertheless, the reviewed projects demonstrated their importance in improving the understanding of urban microclimates, weather services, and cross-disciplinary research. To facilitate further advancement in the field of urban climate research, more comprehensive yet locally-adaptable guidelines are recommended regarding UMN setup, management, data quality check and interpretation. Governments are encouraged to continue taking the lead in collaborating with local communities and other cities, so that the full potential of UMNs in enhancing urban living quality and formulating future climate-related policies can be unleashed.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102409"},"PeriodicalIF":6.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Incorporating cool networks to optimize urban thermal environment patterns: A case study of the Central Plains Urban Agglomeration, China 利用冷网络优化城市热环境格局——以中原城市群为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-10 DOI: 10.1016/j.uclim.2025.102406

Juan Wei , Jinghu Pan

{"title":"Incorporating cool networks to optimize urban thermal environment patterns: A case study of the Central Plains Urban Agglomeration, China","authors":"Juan Wei , Jinghu Pan","doi":"10.1016/j.uclim.2025.102406","DOIUrl":"10.1016/j.uclim.2025.102406","url":null,"abstract":"<div><div>The main factor contributing to the increasing thermal environment risk is rapid urbanization; therefore, to improve the thermal environment and enhance the sustainability of cities to ensure that they can adapt to climate change, it is crucial to analyze the spatial structure characteristics of the thermal environment from the perspective of networks. This study constructed, optimized, and evaluated the cool network of the Central Plains Urban Agglomeration (CPUA) from 2000 to 2020 from a connectivity perspective. First, the morphological spatial pattern analysis (MSPA) theory was used to identify the heat sources and evaluate their significance. Second, the cool network was created by identifying key nodes and corridors using circuit theory. To reduce the urban heat island effect (UHI), the cool network was finally optimized using node and corridor reduction, and its overall connectivity was assessed using α, β, and γ. The results indicate that the number of heat sources in the CPUA increased from 10 to 23 between 2000 and 2020. There is a distinct north-south pattern in the study area's heat island resistance spatial distribution, with higher values in the north and lower values in the south. Between 2000 and 2020, the number of corridors rose from 20 to 61. From 2000 to 2020, the overall connectivity of the cool network of the CPUA increased, and the efficiency of heat transfer between the source sites of the thermal environment rose. The number of cold corridors after optimization (2020) is nearly cut in half, the overall connectivity of the cool network is decreased, and the transfer efficiency of heat between network sources is reduced. The study aims to provide new perspectives and development strategies for promoting healthy urban development and climate adaptation planning.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102406"},"PeriodicalIF":6.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Climate change adaptation: The missing component in the local climate change action plans of Turkish metropolitan municipalities 气候变化适应：土耳其城市当地气候变化行动计划中缺失的部分

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-05 DOI: 10.1016/j.uclim.2025.102396

Çiğdem Tuğaç

{"title":"Climate change adaptation: The missing component in the local climate change action plans of Turkish metropolitan municipalities","authors":"Çiğdem Tuğaç","doi":"10.1016/j.uclim.2025.102396","DOIUrl":"10.1016/j.uclim.2025.102396","url":null,"abstract":"<div><div>Climate change adaptation is crucial for urban resilience, particularly in developing countries vulnerable to extreme weather. In Turkey, metropolitan municipalities, housing 80 % of the population, have voluntarily developed Local Climate Change Action Plans (LCCAPs) to address mitigation and adaptation challenges, despite the lack of a legal mandate. This study aims to classify the LCCAP types prepared by Turkish metropolitan municipalities, assess their adaptation components, and evaluate their alignment with national policies while offering policy recommendations. The findings show that 23 out of 30 municipalities prepared NCCAPs, and 18 of these municipalities developed their NCCAPs as Sustainable Energy and Climate Action Plans (SECAPs), which include both mitigation and adaptation actions. Using ATLAS.ti software, adaptation actions were categorized into 15 sectors, with water management, disaster risk management, green spaces, and infrastructure being most prominent. The study highlights a growing reliance on nature-based solutions for addressing flood and heatwave risks. While international network memberships influence LCCAP targets, a gap remains in addressing vulnerable groups. Additionally, 11 of the 18 SECAPs were funded by municipal resources, showing strong local commitment. The findings emphasize the need for improved institutional coordination, data for vulnerability assessments, and monitoring systems for adaptation. Strengthening adaptation actions in urban climate policies is vital for resilience in Turkey.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102396"},"PeriodicalIF":6.0,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of risk components for urban population to heat intensity and air pollution through a dense IoT sensor network 通过密集的物联网传感器网络评估城市人口对热强度和空气污染的风险成分

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-05 DOI: 10.1016/j.uclim.2025.102397

Tommaso Giordano , Lorenzo Brilli , Giovanni Gualtieri , Francesca Martelli , Alice Cavaliere , Federico Carotenuto , Marianna Nardino , Edoardo Fiorillo , Alessandro Zaldei , Simone Putzolu , Carolina Vagnoli , Fabio Castelli , Beniamino Gioli

{"title":"Assessment of risk components for urban population to heat intensity and air pollution through a dense IoT sensor network","authors":"Tommaso Giordano , Lorenzo Brilli , Giovanni Gualtieri , Francesca Martelli , Alice Cavaliere , Federico Carotenuto , Marianna Nardino , Edoardo Fiorillo , Alessandro Zaldei , Simone Putzolu , Carolina Vagnoli , Fabio Castelli , Beniamino Gioli","doi":"10.1016/j.uclim.2025.102397","DOIUrl":"10.1016/j.uclim.2025.102397","url":null,"abstract":"<div><div>The impacts of heat stress and air pollution are both related to severe health risks for citizens. Complexity and heterogeneity of urban systems can lead to some residents being more exposed than others, possibly exacerbating social inequalities. Whilst the impacts of heath stress and air pollution on population health are known, their relationship with socioeconomic vulnerability has been less investigated. In this work, an integrated risk assessment framework for a mid-size city (Prato, Italy) was developed by combining information on concurrent hazards (summer heat stress and winter air pollution), socioeconomic vulnerabilities indices (Income deciles and Deprivation Index), and demographic exposure (elderly population fraction). Multiple data sources were merged through a novel approach incorporating observed measurements of air temperature and air pollution (PM<sub>10</sub> and PM<sub>2.5</sub> concentrations) at fine time and spatial resolution through a dense IoT sensor network. Results indicated that i) socioeconomic vulnerability was significantly and positively correlated with summer heat intensity (<em>R</em> > 0.8); ii) lowest and highest income classes experienced lower PM concentrations compared to middle-income classes; iii) the fraction of elderly people associated with low socioeconomic vulnerability was little impacted by heat intensity but mostly exposed to winter air pollution depending on their proximity to highly travelled roadways and industrial activities.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102397"},"PeriodicalIF":6.0,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating differences of outdoor thermal comfort for the elderly among genders across seasons: A case study in Chongqing, China 不同季节老年人室外热舒适的性别差异研究——以重庆市为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-05 DOI: 10.1016/j.uclim.2025.102398

Hongqiao Qin , Yanhong Ma , Jiaqi Niu , Jingeng Huo , Xuelin Wei , Jie Yan , Guifeng Han

{"title":"Investigating differences of outdoor thermal comfort for the elderly among genders across seasons: A case study in Chongqing, China","authors":"Hongqiao Qin , Yanhong Ma , Jiaqi Niu , Jingeng Huo , Xuelin Wei , Jie Yan , Guifeng Han","doi":"10.1016/j.uclim.2025.102398","DOIUrl":"10.1016/j.uclim.2025.102398","url":null,"abstract":"<div><div>With global warming and aging, more attention should be paid to outdoor thermal comfort of the elderly in developing countries. Metabolism of the elderly, which affects thermal perception, is always slower than young population, especially in hot humid climate. Therefore, meteorological measurements coupled with thermal questionnaire surveys were collected to investigate outdoor thermal comfort of the elderly during summer and winter in open spaces in Chongqing. Physiological equivalent temperature (PET) was calculated and results showed that: (1) Neutral PET was 22.6 °C with a ranges of 18.1–27.1 °C for the elderly. (2) Thermal sensation of the elderly was greatly affected by air temperature, relative humidity and solar radiation, but less by wind velocity. (3) Thermal perception existed significant differences between seasons with higher neutral PET and narrower acceptable PET range in summer. (4) Thermal perception of female was more susceptible to solar radiation with better acceptance in high temperature. It is worth noting that the elderly, even when feeling comfortable, can experience risk of thermal stress. The findings can provide reference for open space design of the elderly in Chongqing, which is conducive to reducing the risk of heat and cold stress during outdoor activities.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102398"},"PeriodicalIF":6.0,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mining the driving factors of the urban thermal environment by building semantic information at block level—A case study of Shenyang 基于街区层面语义信息构建的城市热环境驱动因素挖掘——以沈阳市为例

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-03 DOI: 10.1016/j.uclim.2025.102404

Zhiwei Xie , Yifan Wu , Fengyuan Zhang , Min Chen , Lishuang Sun , Zhen Qian

{"title":"Mining the driving factors of the urban thermal environment by building semantic information at block level—A case study of Shenyang","authors":"Zhiwei Xie , Yifan Wu , Fengyuan Zhang , Min Chen , Lishuang Sun , Zhen Qian","doi":"10.1016/j.uclim.2025.102404","DOIUrl":"10.1016/j.uclim.2025.102404","url":null,"abstract":"<div><div>Urban blocks are the fundamental units of cities. Understanding the driving factors of urban thermal environments is crucial for environmental protection. Current research focuses more on natural factors like vegetation and land cover rather than social factors such as population activity and building function. Recent studies have started to quantify social factors, including building height, but the relationship between block function types and driving factors remains unclear. This paper proposes an approach to identify thermal environmental drivers in urban blocks by improving functional classification accuracy using building information. Enhanced classification improves feature homogeneity within classes and separability of driving mechanisms between classes. We developed a multidimensional driving factor analysis model and analyzed thermal environmental drivers across different block types using data from Shenyang, China. Results show our method achieves a kappa coefficient of 0.90, 0.18 higher than conventional methods. Incorporating social factors improved the regression model's R<sup>2</sup> from 0.82 to 0.84. Natural factors influence thermal environments differently based on block functions. Building geometry dominates commercial and residential zones, while land coverage dominates industrial, public service, and scenic areas. Without improved classification accuracy, identifying these dominant factors would be less precise, leading to less effective optimization strategies. Therefore, accurate functional classification is crucial for quantifying thermal environment drivers and formulating precise optimization strategies. The proposed framework, relying on open geospatial data, can be applied to other cities and provides actionable insights for mitigating urban heat islands through targeted planning.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102404"},"PeriodicalIF":6.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rainstorm characteristics using MESO-scale rain gauge NETwork (MESONET) over Mumbai 利用中尺度雨量计网络（MESONET）在孟买的暴雨特征

IF 6 2区工程技术

Urban Climate Pub Date : 2025-04-02 DOI: 10.1016/j.uclim.2025.102385

Chiranjeevi Guttula, K. Sunilkumar, Subrata Kumar Das

{"title":"Rainstorm characteristics using MESO-scale rain gauge NETwork (MESONET) over Mumbai","authors":"Chiranjeevi Guttula, K. Sunilkumar, Subrata Kumar Das","doi":"10.1016/j.uclim.2025.102385","DOIUrl":"10.1016/j.uclim.2025.102385","url":null,"abstract":"<div><div>MESO-scale rain gauge NETwork (MESONET) is a dense rain gauge network established across Mumbai. This work investigates the rainstorms speed and direction, using MESONET data during the monsoon (June–September) in 2020–2022. Rainstorm mean speed and direction are derived using the rainfall time series data i.e., peak of rainfall (<em>T</em><sub><em>p</em></sub>), centroid of hyetograph (<em>T</em><sub><em>c</em></sub>), and 50 % of the rainfall data (<em>T</em><sub><em>m</em></sub>). Results suggest that the mean rainstorm speed and direction derived by MESONET observations using <em>T<sub>p</sub></em>, <em>T</em><sub><em>c</em></sub>, and <em>T</em><sub><em>m</em></sub> are 10.3, 17.4 and 13.9 km/h, and 260, 260, and 253 degrees, respectively. Rainstorm speeds computed from <em>T</em><sub><em>c</em></sub> are higher than those calculated from <em>T</em><sub><em>p</em></sub> and <em>T</em><sub><em>m</em></sub>. Very heavy and extremely heavy rainfall events depict slower speeds than heavy and moderate rainfall events. Rainstorms often move in southwesterly and northwesterly directions. Comparison with reanalysis data, ERA5, indicate that the estimated rainstorm speed and direction mainly follow the mean layer (850–650 hPa) monsoon winds. Significant Ratio (<em>SR</em>), which indicate the accuracy of observed rainstorm speed and direction, shows that the rainstorm speed and direction estimated by <em>T</em><sub><em>c</em></sub> are more significant than those of <em>T</em><sub><em>p</em></sub> and <em>T</em><sub><em>m</em></sub>. The average <em>SR</em> values of <em>T</em><sub><em>p</em></sub>, <em>T</em><sub><em>c</em></sub> and <em>T</em><sub><em>m</em></sub> are 0.59, 0.49, and 0.51, respectively.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"61 ","pages":"Article 102385"},"PeriodicalIF":6.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0