Local Climate Research Articles

GLOBAL WARMING: A COMPREHENSIVE ANALYSIS OF CAUSES, IMPACTS, AND SOLUTIONS

Global warming is one of the most critical environmental challenges facing humanity today, characterized by a significant increase in Earth's average surface temperature due to human-induced greenhouse gas emissions. This paper provides a comprehensive examination of the primary anthropogenic causes of global warming, including industrialization, deforestation, and changes in land use patterns. The burning of fossil fuels—such as coal, oil, and natural gas—for energy production and transportation has led to a dramatic rise in carbon dioxide levels in the atmosphere. This surge in CO2 concentrations has intensified the greenhouse effect, trapping more heat within the Earth's atmosphere and contributing to the overall rise in global temperatures. In addition to carbon dioxide, other potent greenhouse gases like methane and nitrous oxide, released from agricultural practices and industrial processes, exacerbate the warming effect. The expansion of industrial agriculture has significantly increased methane emissions, while synthetic fertilizers contribute to higher levels of nitrous oxide. Deforestation driven by agricultural expansion and urban development further diminishes the Earth's capacity to absorb carbon dioxide, releasing stored carbon and altering local climate patterns. The impacts of global warming are extensive, affecting ecosystems, weather patterns, and human societies worldwide. Rising sea levels threaten coastal communities, while changing precipitation patterns lead to more frequent and severe droughts and floods. This paper also discusses the interconnected nature of these factors and their complex feedback systems that amplify global warming effects. To address this multifaceted challenge, the paper proposes a comprehensive approach that includes transitioning to renewable energy sources, enhancing energy efficiency across all sectors, implementing sustainable land use practices, and fostering international cooperation through policy initiatives such as the Paris Agreement. Understanding these intricate relationships is crucial for developing effective strategies to mitigate and adapt to the challenges posed by global warming, ensuring a sustainable future for generations to come.

Engaging Young People in Community-based Flood Risk Management in Pekalongan, Indonesia

This technical report describes a capacity development project for flood risk management in Indonesia. The project aimed to equip tertiary students, referred to as 'learners,' with the basic knowledge and skills for flood risk management. We adopted a holistic approach that integrated online lectures, remote coaching and locally-based activities. We implemented a wide range of field activities to foster collaborative experiential learning. Our project took place in Pekalongan, a coastal city in Central Java Province. The significance of our efforts was underscored by the formal endorsement and support provided by the City Government of Pekalongan, which actively engaged 18 government officials in our programme. The capacity development project was structured into two parts. The first part encompassed six online lectures, delving into various aspects of flood risk management. In the second part, 18 enthusiastic Indonesian students took part in our field activities, which included water quality testing, flood exposure assessment, community vulnerability evaluation and community disaster planning. The majority of participants conveyed that the project either met or surpassed their expectations, significantly altering their understanding of climate change and climate vulnerability in Indonesia, while also redefining their roles in local climate change adaptation efforts.

Impact of climate and traditional practice on quality of homemade dahi.

This research communication aimed at assessing the microbial quality and preparation practices of dahi/thayir, a popular traditional fermented milk product, in households from two distinct agroecological zones in Kerala, India, namely the high-range and central midland, We highlighted the significant variations and potential food safety concerns associated with regional differences in production methods. The local climate significantly influenced the incubation temperature of dahi/thayir, thereby influencing the types of microflora involved in the fermentation process. Data on preparation practices and sensory preferences were collected from producers during the sampling process, covering 200 households. There were significant variations in preparation practices between the two regions, particularly concerning the type of container used, inoculation rate and incubation period. Samples from the high-range region exhibited significantly higher acidity and coliform count as well as yeast and mold count than the central midland region. The household fermentation of milk is often uncontrolled, causing increased acidity levels. This uncontrolled fermentation favored the growth of contaminants such as coliforms and yeast, posing a potential threat to food safety. This study underscores the importance of understanding microbial quality variations and preparation practices in dahi/thayir production, emphasizing the need for proper fermentation techniques and hygienic practices to ensure the safety and quality of this traditional fermented milk product.

Dengue virus transmission in Italy: historical trends up to 2023 and a data repository into the future

Dengue virus circulation is on the rise globally, with increased epidemic activity in previously unaffected countries, including within Europe. In 2023, global dengue activity peaked, and Italy reported the highest number of dengue cases and local chains of transmission to date. By curating several sources of information, we introduce a novel data repository focused on dengue reporting in Italy. We integrate data from such a repository with other geographic, genomic and climatic spatiotemporal data to present an overview of transmission patterns of the past eight years related to circulating viral lineages, geographic distribution, hotspots of reporting, and the theoretical contribution of local climate. The novel data repository can contribute to a better understanding of an evolving epidemiological scenario in Italy, with the potential to inform reassessment and planning of adequate national and European public health strategies to manage the emergence of the dengue virus.

Synergy of soft and hard regulations in climate governance: The impact of state policies on local climate mitigation actions

Synergy of soft and hard regulations in climate governance: The impact of state policies on local climate mitigation actions

Upper-ocean processes and sea ice production in the southeastern Amundsen Sea Polynya in austral autumn

Abstract The mixed layer of polynyas is vital for local climate as it determines the exchange of properties and energy between ocean, sea ice and atmosphere. However, its evolution is poorly understood, as it is controlled by complex interactions among these components, yet highly under-sampled, especially outside summer. Here we present a two-month, high vertical resolution, full-depth hydrographic dataset from the southeastern Amundsen Sea Polynya in austral autumn (mid-February to mid-April 2014) collected by a recovered seal tag. This novel dataset quantifies the changes in upper ocean temperature and salinity stratification in this previously unobserved season. Our seal-tag measurements reveal that the mixed layer experiences deepening, salinification, and intense heat loss through surface fluxes. Heat and salt budgets suggest a sea ice formation rate of ∼3 cm per day. We use a one-dimensional model to reproduce the mixed-layer evolution and further identify key controls on its characteristics. Our experiments with a range of reduced or amplified air-sea fluxes show that heat loss to the atmosphere and related sea ice formation are the principal determinants of stratification evolution. Additionally, our modelling demonstrates that horizontal advection is required to fully explain the mixed-layer evolution, underlining the importance of the ice-covered neighbouring region for determining sea ice formation rates in the Amundsen Sea polynya. Our findings suggest that the potential overestimation of sea ice production by satellite-based methods, due to the absence of oceanic heat flux, could be offset by horizontal advection inhibiting mixed layer deepening and sustaining sea ice formation.

Analysis of the indoor wind environment in buildings on the Qinghai-Tibet plateau of China: A case study of the Dege Scripture Printing House

The Dege Scripture Printing House (DSPH), built in 1729, is located on the southeastern edge of the Qinghai-Tibet plateau and serves as a significant center for Tibetan Buddhism culture. Compared to typical Tibetan architecture, DSPH features unique characteristics, such as its substantial size, diverse structures, and adaptability to the local climate. The surrounding topography of DSPH primarily comprises plateaus and hilly plains, and the region experiences a continental plateau monsoon climate. This climate is characterized by cold temperatures due to high altitude, low precipitation, long sunshine hours, dry air, long winters, short summers, and intense solar radiation. To thoroughly assess the ventilation status of DSPH, a 3D scan of the building, physical environment tests, and indoor wind environment simulations were carried out. The field test results show that the unique architectural design of DSPH helps mitigate the impact of the harsh climate on indoor activities. By analyzing and evaluating the wind environment of DSPH, locally adapted climate resilience practices are summarized, and the physical properties of buildings characteristic of the Tibetan plateau are clarified. These findings provide a reference for promoting the development of local climate-adapted buildings, preserving traditional architectural culture, and promoting the integration of modern architecture with traditional culture. Furthermore, this study represents an important step toward enhancing energy efficiency and green building practices in ethnic minority settlements, contributing to sustainable development in the region.

Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations

Climate change is expected to increase the frequency and severity of climate extremes, which will negatively impact crop production. As one of the main food and feed crops, maize is also vulnerable to extreme climate events. In order to accurately and comprehensively assess the future climate risk to maize, it is urgent to project and evaluate the stress of extreme climate related maize production under future climate scenarios. In this study, we comprehensively evaluated the spatio-temporal changes in the frequency and intensity of six extreme climate indices (ECIs) across China’s maize harvest region by using a multi-model ensemble method, and examined the capability of the Coupled Model Intercomparison Project Phase 6 (CMIP6) to capture these variations. We found that the Independence Weight Mean (IWM) ensemble results calculated by multiple Global Climate Models (GCMs) with bias correction could better reproduce each ECI. The results indicated that heat stress for maize showed consistent increase trends under four future climate scenarios in the 21st century. The intensity and frequency of the three extreme temperature indices in 2080s were significantly higher than these in 2040s, and in the high emission scenario were significantly higher than these in the low emission scenario. The three extreme precipitation indices changed slightly in the future, but the spatial changes were more significant. Therefore, with the uncertainty of climate change and the differences of climate characteristics in different regions, the optimization of specific management measures should be considered in combination with the specific conditions of future local climate change.

Place-based climate commissions: embracing messy governmentality

The role of the ‘place’ in delivering climate action is vital, however much action on climate change locally is fragmented. Independent place-based climate commissions are a novel structure of climate governance developing at the subnational level across cities, regions and counties in the UK. Little is known about these emerging forms of local climate governance and their experiences of navigating ‘mess’ in governance practices and processes. Building on Castán Broto’s framework of messy governmentalities, this paper seeks to assess the capacity of climate commissions to affect meaningful climate mitigation and adaptation action, to understand how they interact with existing climate governance structures and to consider their longer-term sustainability. This paper examines the nature and impact climate commissions have had on local climate action, drawing on qualitative interviews with chairs, commissioners, members of the secretariat and associated local authorities of the Edinburgh, Belfast, Leeds, Surrey, Yorkshire and Humber, and Lincoln commissions in the UK. Analysing the journeys of the commissions through a lens of messy governmentalities, and a focus on bodies, strategies and knowledges within them, we draw out insights on how climate commissions came about, their function and role, their impact and influence, and how they have evolved.

Impacts of Climate Change on Energy-Saving Sensitivity of Residential Building Envelope Design Parameters in Three Hot-Dry Cities

Warming climatic conditions are projected to intensify extreme heat events, especially in hot climates, affecting the energy-saving effectiveness of various building envelope design parameters. However, limited studies exist on the energy-saving sensitivity of building envelope design parameters for residential buildings in hot and dry climates under future climate change. This study aims to fill this gap by examining typical residential buildings in three cities in Iraq, classified as hot desert, hot semiarid, and Mediterranean. First, the most common type of residential building was selected as a case study, and its energy modelling was validated using measured energy bills. Second, future climatic weather files were constructed using the latest general circulation models to assess their impacts on building energy consumption. Third, the energy-saving sensitivity of applicable building envelope design parameters under different future climatic conditions was obtained through local and global sensitivity analysis methods. The results of global sensitivity analysis indicate that the solar heat gain coefficient of windows, the specific heat of exterior walls, and the projection of side fins are the most important factors, with standardized regression coefficients (SRC) ranging from -0.92 to 0.62. Notably, the SRC of windows' solar heat gain coefficient is expected to increase under future climate scenarios. In contrast, the significance of the specific heat of exterior walls depends on local climates. Although this study only included envelope design parameters and excluded economic analysis, it provides insights for policymakers and architects to prioritize building envelope design strategies that enhance the climate resilience of residential buildings.

Ecological benefits of artificial vegetation restoration on local climate condition in abandoned mining area

The abandoned mining area in Hami, Xinjiang, suffers from severe ecological degradation, necessitating urgent vegetation restoration to improve local climate conditions. This study examines the ecological benefits of artificial re-vegetation conducted by our team since 2021. Using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectory model and Global Data Assimilation System (GDAS) meteorological data, the long-range movement paths of air masses reaching the study area were identified. Simultaneously, on-site monitoring of meteorological factors (air temperature and humidity) was conducted to compare differences between the control point (non-vegetated area) and the artificially vegetated area. Additionally, wind speeds were monitored on both the windward and leeward sides of the vegetation restoration area for 66 days. Wind directions perpendicular to vegetation, to assess windbreak efficiency. The results indicated that the HYSPLIT model and the K-means clustering technique classified air masses’ long-range transportation into three categories: NW, N, and ES clusters. This classification illustrated the impact of regional climatic systems on local conditions. It showed cooler and more humid air masses from the northwest contributing significantly to local climate improvements. In the restored areas, high vegetation coverage and height significantly reduced air temperature by up to 1.5 °C and increased humidity by 2.7 % compared to the control area. Windbreak efficiency was notably enhanced, with wind speeds at 0.5 to 1 m heights on the leeward side reduced by approximately 1.2–1.7 m/s. This study underscores the critical role of artificial vegetation restoration in mitigating mining activities’ adverse effects, improving local climatic conditions, and promoting sustainable ecological rehabilitation in arid regions. The findings provide valuable insights for future ecological restoration projects and sustainable environmental management in similar degraded landscapes.

Systematic Regional Aerosol Perturbations (SyRAP) in Asia Using the Intermediate‐Resolution Global Climate Model FORTE2

AbstractEmissions of anthropogenic aerosols are rapidly changing, in amounts, composition and geographical distribution. In East and South Asia in particular, strong aerosol trends combined with high population densities imply high potential vulnerability to climate change. Improved knowledge of how near‐term climate and weather influences these changes is urgently needed, to allow for better‐informed adaptation strategies. To understand and decompose the local and remote climate impacts of regional aerosol emission changes, we perform a set of Systematic Regional Aerosol Perturbations (SyRAP) using the reduced‐complexity climate model FORTE 2.0 (FORTE2). Absorbing and scattering aerosols are perturbed separately, over East Asia and South Asia, to assess their distinct influences on climate. In this paper, we first present an updated version of FORTE2, which includes treatment of aerosol‐cloud interactions. We then document and validate the local responses over a range of parameters, showing for instance that removing emissions of absorbing aerosols over both East Asia and South Asia is projected to cause a local drying, alongside a range of more widespread effects. We find that SyRAP‐FORTE2 is able to reproduce the responses to Asian aerosol changes documented in the literature, and that it can help us decompose regional climate impacts of aerosols from the two regions. Finally, we show how SyRAP‐FORTE2 has regionally linear responses in temperature and precipitation and can be used as input to emulators and tunable simple climate models, and as a ready‐made tool for projecting the local and remote effects of near‐term changes in Asian aerosol emissions.

Geographical variability in hygrothermal simulation results of historical building envelopes with interior insulation in Belgium

Thermal retrofits of existing buildings offer a great potential to reduce Europe’s energy use and CO2 emissions. The impact of these retrofitting strategies on the risk for degradation in building envelopes is assessed through hygrothermal simulations. Due to the lack of long term climate data, hygrothermal simulations are performed for a certain location, and the results are generalised over a large region. However, this generalisation may not be valid, since the hygrothermal performance of building envelopes is highly influenced by local climate conditions. Therefore, we assessed the geographical variability on degradation risks in building envelopes. This paper presents the results of 34560 hygrothermal simulations of solid masonry walls, with and without interior insulation, and including a range of other parameter variations, for 20 synoptic weather stations across Belgium. Generally, the risk for degradation is higher at locations with a higher elevation above sea level. For Belgium, the elevation correlates well with the mean temperature (invers correlation), and the annual precipitation and wind-driven rain load. For a known wall orientation, the impact of interior insulation on the risk for freeze-thaw damage is most determined by the elevation above sea level. Also the mould index in uninsulated walls correlates best with the elevation. On the contrary, the brick type is more important than the location when considering wood decay of embedded beam heads in retrofitted walls. To conclude, the risk for degradation cannot be generalised, especially over areas with complex variations in orographic and climatological conditions.

Research on indoor thermal comfort of traditional dwellings in Northeast Sichuan based on the thermal comfort evaluation model and EnergyPlus

Northeast Sichuan is in the hot summer and cold winter area (HSCW), making its traditional dwellings highly valuable for study. Due to the lack of an appropriate indoor thermal comfort evaluation model, this study developed a suitable model by combining field measurement, questionnaire, and dynamic simulation. The study also investigated the indoor thermal environment of traditional dwellings in the area. The results indicate that in summer, the average indoor air temperature in the bedroom is 25.3°C, and for 81.4% of the summer period, the bedroom operative temperature (top) is below the highest acceptable top of 29.2°C. In contrast, in winter, the average indoor air temperatures in both the bedroom and the hall are below 9.0°C, with only 9.6% of the winter period having bedroom top exceeding the minimum acceptable top of 12.2°C. These findings suggest that there is significant room for improvement in the winter indoor thermal environment. Additionally, the summer neutral top for occupants is 27.0°C, which is higher than the predicted value of 25.4°C, while the winter neutral top is 14.2°C, which is lower than the predicted value of 19.3°C. This indicates that both the traditional dwellings and their occupants have adapted to the local climate to some extent. This study aims to provide a theoretical framework and research basis for optimizing the indoor thermal environment of traditional dwellings in this area.

Building high-resolution projections of temperature potential changes using statistical downscaling for the future period 2026-2100 in the Highland region of Yemen – A supportive approach for empowering environmental planning and decision-making

Environmental resources and ecological systems are significantly affected by the steady rise of the global temperature. However, the degree of temperature change at the regional and local levels is uncertain. The uncertainty arises from various factors, but mostly due to the short length of ground data and dependency of local studies on the large-scale and spatially coarse output of Global Climate Models (GCMs). Therefore, the output of GCM cannot be directly used in impact assessment studies at a regional and local level. In this study, the Statistical Down-Scaling Model (SDSM) is employed to investigate the magnitude of temperature changes (Minimum and Maximum Temperature) for the future period 2026-2100. The SDSM builds relationships between large-scale predictors and local climate variables, allowing for finer-resolution projections at a regional level. The study utilized the Climate Hazard Infra-Red Temperature with Station (CHIRTS-daily) to complete daily missing records in more than 90 ground stations. Additionally, predictors of the National Center for Environmental Prediction (NCEP) for the historical period (1961-2010) and the Canadian Earth System Model (CanESM2) for the future period (2026-2100) are employed to calibrate SDSM and to build finer-resolution scenarios under two representative concentration pathways; RCP2.6 and RCP8.5. The methodology additionally involved validating the SDSM performance using observed historical data before applying it to future projections. The findings indicate that both minimum and maximum temperatures (T-min and T-max) will increase, with a more pronounced rise in minimum temperature (T-min). Over the future period (2026-2100), the projected average temperature rise is 1.10°C (T-max) and 1.43°C (T-min) under RCP2.6. For RCP8.5, the projected average increases are 1.56°C and 2.3°C for T-max and T-min, respectively. Overall, the most significant increase is projected to occur in the 2090s (2076-2100) under RCP8.5, particularly in the lowlands and wadis of Al Mahwit and Raymah governorate. In these areas, the minimum temperature (T-min) exhibited an increased absolute value of up to 3.2°C. This high rise in temperatures is expected to result in increased evapotranspiration, prolonged droughts, and possibly breakouts of some plant diseases and pests. This would require effective adaptation measures such as harvesting rainwater and growing short-time and heat-resistance crops. Engaging in field visits and social discussions added depth to the study by introducing various traditional methods and indigenous practices. Valuable resources for future efforts to mitigate the potential impacts of climate change are offered by these insights.

The Impact of Urbanization-Induced Land Use Change on Land Surface Temperature

Rapid urbanization can change local climate by increasing land surface temperature (LST), particularly in metropolitan regions. This study uses two decades of remote sensing data to investigate how urbanization-induced changes in land use/land cover (LULC) affect LST in the Beijing Region, China. By focusing on the key issue of LST and its contributing variables through buffer zones, we determined how variables influence LST across buffer zones—core, transit, and suburban areas. This approach is crucial for identifying and prioritizing key variables in each zone, enabling targeted, zone-specific measures that can more effectively mitigate LST rise. The main driving variables for the Beijing Region were determined, and the spatial-temporal relationship between LST and driving variables was investigated using a geographically weighted regression (GWR) model. The results demonstrate that the Beijing Region’s LST climbed from 2002 to 2022, with increases of 0.904, 0.768, and 0.248 °C in core, transit, and suburban areas, respectively. The study found that human-induced variables contributed significantly to the increase in LST across core and transit areas. Meanwhile, natural variables in suburban areas predominated and contributed to stabilizing local climates and cooling. Over two decades and in all buffer zones, GWR models slightly outperformed ordinary least squares (OLS) models, suggesting that the LST is highly influenced by its local geographical location, incorporating natural and human-induced variables. The results of this study have substantial implications for designing methods to mitigate LST across the three buffer zones in the Beijing Region.

Modeling of Basin Type Single Slope Solar Still Under Local Climate Conditions in Yemen

The economic crises and instability caused by the conflict in Yemen prevents the establishment of medium and large-scale water desalination plants to overcome the sever water scarcity in the high population major cities. This paper investigates small scale solar still water desalination technology as a potential candidate to aid with the production of fresh water to reduce the accelerated depletion of underground water reserves in Yemen. Water stills have the advantage of low capital cost and no operational cost as it utilizes the high solar radiation intensity in the coastal areas to evaporate water. This paper proposes and compares two models to simulate the performance of solar still following steady-state and transient modelling approaches, with in-depth evaluation of the different parameters affecting the performance. The transient model showed better prediction of the temperature profiles of the solar still when compared to other experimental and mathematical modelling studies. The small scale solar still showed water production yield of about 1.9 kg/day, with maximum hourly yield of about 0.27 kg/h.

Synergising Machine Learning and Remote Sensing for Urban Heat Island Dynamics: A Comprehensive Modelling Approach

This study evaluates the effectiveness of sustainable urban regeneration projects in mitigating Urban Heat Island (UHI) effects through a place-based approach. Geographic Information Systems (GIS) and satellite imagery were integrated with machine learning (ML) models to analyse the urban environment, human activities, and climate data in Turin, Italy. A detailed analysis of the ex-industrial Teksid area revealed a significant reduction in Surface Urban Heat Island Intensity (SUHII), with decreases of −0.94 in summer and −0.54 in winter following regeneration interventions. Using 17 variables in the Random Forest model, key determinants influencing SUHII were identified, including building density, vegetation cover, and surface albedo. This study quantitatively highlights the impact of increasing green spaces and enhancing surface materials to improve solar reflectivity, with findings showing a 19.46% increase in vegetation and a 3.09% rise in albedo after mitigation efforts. Furthermore, the results demonstrate that integrating Local Climate Zones (LCZs) into urban planning, alongside interventions targeting these key variables, can further optimise UHI mitigation and assess changes. This comprehensive approach provides policymakers with a robust tool to enhance urban resilience and guide sustainable planning strategies in response to climate change.

Public Perception of Climate Change Impact on Living Conditions in a Cold Region (the case of the Republic of Sakha (Yakutia))

Based on the materials of a sociological study conducted in August-October 2023, the characteristics of the perception by residents of the Republic of Sakha (Yakutia) of changes in the local climate and natural environment are analyzed. Residents of the republic notice significant changes in the climate, such as shifts in the onset of seasons, changes in air temperature, precipitation levels, and windiness. The population is concerned about the increasing frequency and intensity of natural phenomena caused by climate change: wildfires, thawing permafrost, destruction of roads, increasing number of mosquitoes in summer and an increasing incidence of acute respiratory viral infections and influenza, ice on roads in winter. Local residents also notice appearance of new species of birds, insects, plants, animals and fish not typical for the region. Negative assessments of the impact of climate change on traditional agriculture in Yakutia predominate.

Comparative Analysis of Two Methods for Valuing Local Cooling Effect of Forests in Inner Mongolia Plateau

Studies have extensively examined the cooling effects of forests. Various methods exist for evaluating climate regulation at regional and global levels. Local-scale cooling effects and their valuing methods, however, remain poorly understood. In this study, the temperature difference and energy balance methods were compared to assess the value of cooling services of three forest types at a local scale. Using the window searching strategy, land surface temperature and sensible heat flux differences between forest and open land were compared. The average cooling temperature of broad-leaved forests was found to be 0.229 °C, significantly higher than that of coniferous forests, at 0.205 °C, while mixed coniferous–broad-leaved forests were not significantly different to the other two types. The average sensible heat flux differences in broad-leaved, coniferous, and coniferous–broad-leaved forests were found to be 0.23, 0.079, and 0.11 MJ/m2/day, respectively. According to the correlation analysis, the sensible heat flux was significantly correlated with the cooling degree (R = 0.33, p = 0.05), suggesting consistency between the two approaches. However, the total cooling value calculated with the energy balance method was CNY 0.51 billion, significantly higher than the temperature difference method at CNY 0.11 billion. The main reason for the differences between the two approaches is the uncertainty in cooling volume and cooling time for the temperature difference method and energy balance method, respectively. The impact of vegetation on the microclimate depends on the vegetation type, topography, local climate, and other factors. It is also important to note that cooling services are not required at all times of the day, and energy differences can hardly be calculated based on the hour. However, surface radiation and evapotranspiration generally occur during the daytime, which is also when the surface temperature is high. Therefore, there is a certain coincidence with the time when cooling is needed. The energy balance method presented herein provides a novel alternative approach to assessing the cooling services of local-scale forests, offering advantages over the commonly used temperature difference approach, which is associated with large uncertainty.