Journal articles on the topic 'Urban Weather Generator (UWG)'

This article addresses the simulation of urban air temperatures with a focus on evaluating the Urban Weather Generator (UWG) model over Toulouse, France. As urban temperatures, influenced by factors like urbanization, anthropogenic heat release, and complex urban geometry, exhibit an urban heat island (UHI) effect, understanding and mitigating UHI become crucial. With increasing global warming and urban populations, aiding urban planners necessitates accurate simulations requiring data at the canyon level. The paper evaluates UWG’s performance in simulating air temperatures under realistic conditions, emphasizing an operational context and a non-specialist user’s perspective. The evaluation includes selecting the most suitable meteorological station, assessing the impact of the rural station choice, and conducting a sensitivity analysis of input parameters. The validation demonstrates good agreement, with a mean bias error (MBE) of 0.02 °C and a root mean square error (RMSE) of 1.73 °C. However, we highlight the fact that UWG performs better in a densely urbanized area, and exhibits limitations in sensitivity to urban surface parameter variations, particularly in less urbanized areas.

Given the adverse implications of both urbanization and global climate change for cities, specifically regarding issues such as human health and comfort, local air quality, and increased summertime energy use in buildings, it is becoming imperative to develop models that can accurately predict the complex and nonlinear interactions between the surrounding urban fabric and local climatic context. Over the past years, a number of comprehensive tools have been widely applied for the generation of near-surface urban climatic information. In this paper, we report on the potential of two alternative approaches to urban climate modeling. Specifically, we compare the climatic output generated with Urban Weather Generator (UWG) and the Weather Research and Forecasting (WRF) model. The WRF model has been widely applied due to its capability of downscaling global weather data to finer resolutions, thus representing the location-specific microclimatic information, while considering the interactions with the surrounding urban and regional context. However, this approach is computationally intensive. The UWG was recently introduced as a simpler alternative to such complex models. The tool morphs rural weather data to represent urban conditions given a set of location-specific morphological parameters. In the present paper, WRF and UWG methods were compared based on empirical data pertaining to air temperature, wind speed, and humidity, collected from 12 locations in the city of Vienna, Austria, over 5 distinct time periods. In general, our results suggest that, as compared to the WRF model, the UWG model results are closer to monitored data. However, during the extreme conditions in summer, the WRF model was found to perform better. It was further noted that the discrepancy between the two models increases with decreasing temperatures, thus revealing a higher offset between UWG and WRF output during the winter period.

The city of Abu Dhabi is growing every year in population, urban extent and energy demand. This research focuses on the application of two simulation programs to estimate changes in urban climate associated with continued development in Abu Dhabi: The Urban Weather Generator (UWG) and ENVI-met. Simulation with these two software packages are validated with the site data measured in downtown Abu Dhabi. A comparison analysis (in the different seasons) between the rural data, the simulation output, and the site measurements shows the variations of the UHI in this Middle Eastern city and the potential of the validated tools. The main aims of this study are: (a) to make a seasonal validation of the UWG for the city of Abu Dhabi (referring to urban-rural available data). The tool was previously validated for a year (no seasonal division) for Abu Dhabi, Toulouse, Basel, Singapore, Rome and Barcelona. The simulations are based on the 2016 version of the Urban Weather Generator. The analysis is separated into three main seasons (instead of the full year): winter, spring, summer. (b) To make a seasonal validation and improve the second tool evaluated in this study, ENVI-met 4.0. The software can simulate urban temperature, humidity and wind speed. Guides are proposed for the enhancement of the accuracy of both estimation procedures. Referring to the results, UWG tends to overestimate the canyon temperature during the summer and has a more realistic estimation on the winter season. ENVI-met has better estimations of temperatures during the summer season compared to UWG. Finally, the UWG weather file contributes a more detailed energy model on a mesoscale model. It considers the seasonal effect and shows the impact of the climate on profiling the UHI phenomena. ENVI-met needs improvement in calculating the anthropogenic heat and in calculation of the mean radiant temperature.

This study employed the urban weather generator (UWG) to model the formation of the urban heat island (UHI) across the twelve (12) districts (bydele) of the City of Copenhagen (Københavns Kommune). In the face of projected future population growth, increased urban development, and rising global temperatures, it is necessary to quantify the ability of sustainable urban development objectives to mitigate the formation of UHIs. Assessment of baseline UHI formation in Copenhagen allowed for testing passive UHI mitigation strategies as defined in Copenhagen’s Kommuneplan 19 (KP19). The results of this study identified city districts experiencing higher baseline levels of urban heat and the effectiveness of the passive UHI mitigation strategies proposed in KP19. Additionally, results from this study suggest that UHI mitigation strategies are more effective combined.

Abstract Despite the fact that the interrelationships between urban microclimates and energy demand have been recognised, there are not many processes that combine microclimatic boundary conditions to estimate energy consumption in parametric morphological investigations. Therefore, this paper will demonstrate a simple step-by-step methodology to incorporate the effect of urban microclimate on building cooling energy demand in semi-arid climatic areas. In this study, the combination of ENVI-met, Urban Weather Generator (UWG) and Rhino grasshopper are used to investigate the connection between microclimate and energy in the climatic environment of Kayseri. This coupling’s potential is investigated across compact high-rise, midrise and low-rise buildings, focusing on the cooling requirement on the hottest days. The comparative study shows how and to what extent urban geometry, building height in this case, contributes to modifying the magnitude of microclimate impact on building cooling performance.

Typical Meteorological Year (TMY) datasets, widely used in building energy modeling, overlook Urban Heat Island (UHI) effects and future climate trends by relying on long-term data from rural stations such as airports. This study addresses this limitation by integrating Urban Weather Generator (UWG) simulations with CCWorldWeatherGen projections to produce microclimate-adjusted and future weather scenarios. These datasets were then incorporated into an Urban Building Energy Modeling (UBEM) framework using Urban Modeling Interface (UMI) to evaluate energy performance across a low-income residential neighborhood in Des Moines, Iowa. Results show that UHI intensity will rise from an annual average of 0.55 °C under current conditions to 0.60 °C by 2050 and 0.63 °C by 2080, with peak intensities in summer. The UHI elevates cooling Energy Use Intensity (EUI) by 7% today, with projections indicating a sharp increase—91% by 2050 and 154% by 2080. The UHI will further amplify cooling demand by 2.3% and 6.2% in 2050 and 2080, respectively. Conversely, heating EUI will decline by 20.0% by 2050 and 40.1% by 2080, with the UHI slightly reducing heating demand. Insulation mitigates cooling loads but becomes less effective for heating demand over time. These findings highlight the need for climate-adaptive policies, building retrofits, and UHI mitigation to manage future cooling demand.

Building sectors account for major energy use and greenhouse gas emissions in the US. While urban building energy-use modeling has been widely applied in many studies, limited studies have been conducted for Manhattan, New York City (NYC). Since the release of the new “80-by-50” law, the NYC government has committed to reducing carbon emissions by 80% by 2050; indeed, the government is facing a big challenge for reducing the energy use and carbon emissions. Therefore, understanding the building energy use of NYC with a high spatial and temporal resolution is essential for the government and local citizens in managing building energy use. This study quantified the building energy use of Manhattan in NYC with consideration of the local microclimate by integrating two popular modeling platforms, the Urban Weather Generator (UWG) and Urban Building Energy Modeling (UBEM). The research results suggest that (1) the largest building energy use is in central Manhattan, which is composed of large numbers of commercial buildings; (2) a similar seasonal electricity-use pattern and significantly different seasonal gas-use patterns could be found in Manhattan, NYC, due to the varied seasonal cooling and heating demand; and (3) the hourly energy-use profiles suggest only one electricity-use peak in the summer and two gas-use peaks in the winter.

Ignoring Urban Heat Island (UHI) effects may lead to an underestimation of the building cooling demand. This study investigates the impact of the UHI on the cooling demand in hot-humid cities, employing the Local Climate Zones (LCZs) classification framework combined with the Urban Weather Generator (UWG) model to simulate UHI effects and improve building performance simulations. The primary aim of this research is to quantify the influence of different LCZs within urban environments on variations in the cooling energy demand, particularly during heat waves, and to explore how these effects can be incorporated into building energy models. The findings reveal significant discrepancies in both the average and peak cooling demand when UHI effects are ignored, especially during nighttime. The most intense UHI effect was observed in LCZ 2.1, characterized by compact mid-rise and high-rise buildings, leading to a cooling demand increase of more than 20% compared to suburban data during the heat waves. Additionally, building envelope thermal performance was found to influence cooling demand variability, with improved thermal properties reducing energy consumption and stabilizing demand. This research contributes to the theoretical understanding of how urban microclimates affect building energy consumption by integrating LCZ classification with UHI simulation, offering a more accurate approach for building energy predictions. Practically, it highlights the importance of incorporating LCZs into building energy simulations and provides a framework that can be adapted to cities with different climatic conditions, urban forms, and development patterns. This methodology can be generalized to regions other than hot-humid areas, offering insights for improving energy efficiency, mitigating UHI effects, and guiding urban planning strategies to reduce the building energy demand in diverse environments.

Abstract. The Vertical City Weather Generator (VCWG) is a computationally efficient urban microclimate model developed to predict temporal and vertical variation of potential temperature, wind speed, specific humidity, and turbulent kinetic energy. It is composed of various sub-models: a rural model, an urban vertical diffusion model, a radiation model, and a building energy model. Forced with weather data from a nearby rural site, the rural model is used to solve for the vertical profiles of potential temperature, specific humidity, and friction velocity at 10 m a.g.l. The rural model also calculates a horizontal pressure gradient. The rural model outputs are applied to a vertical diffusion urban microclimate model that solves vertical transport equations for potential temperature, momentum, specific humidity, and turbulent kinetic energy. The urban vertical diffusion model is also coupled to the radiation and building energy models using two-way interaction. The aerodynamic and thermal effects of urban elements, surface vegetation, and trees are considered. The predictions of the VCWG model are compared to observations of the Basel UrBan Boundary Layer Experiment (BUBBLE) microclimate field campaign for 8 months from December 2001 to July 2002. The model evaluation indicates that the VCWG predicts vertical profiles of meteorological variables in reasonable agreement with the field measurements. The average bias, root mean square error (RMSE), and R2 for potential temperature are 0.25 K, 1.41 K, and 0.82, respectively. The average bias, RMSE, and R2 for wind speed are 0.67 m s−1, 1.06 m s−1, and 0.41, respectively. The average bias, RMSE, and R2 for specific humidity are 0.00057 kg kg−1, 0.0010 kg kg−1, and 0.85, respectively. In addition, the average bias, RMSE, and R2 for the urban heat island (UHI) are 0.36 K, 1.2 K, and 0.35, respectively. Based on the evaluation, the model performance is comparable to the performance of similar models. The performance of the model is further explored to investigate the effects of urban configurations such as plan and frontal area densities, varying levels of vegetation, building energy configuration, radiation configuration, seasonal variations, and different climate zones on the model predictions. The results obtained from the explorations are reasonably consistent with previous studies in the literature, justifying the reliability and computational efficiency of VCWG for operational urban development projects.

India’s fossil-fuel-based energy dependency is up to 68%, with the commercial and residential sectors contributing to the rise of building energy demand, energy use, and greenhouse gas emissions. Several studies have shown that the increasing building energy demand is associated with increased space-cooling ownership and building footprint. The energy demand is predicted to grow further with the conditions of global warming and the phenomenon of urban heat islands. Building designers have been using state-of-the-art transient simulation tools to evaluate energy-efficient envelopes with present-day weather files that are generated with historical weather datasets for any specific location. Designing buildings with historical climatic conditions makes the buildings vulnerable to the predicted climate change impacts. In this paper, a weather file generator was developed to generate Indian future weather files using a geo-filtering-based spatial technique, as well as the temporal downscaling and machine learning (ML)-based bias correction approach proposed by Belcher et al. The future weather files of the three representative concentration pathways of 2.6, 4.5, and 8.5 could be generated for the years 2030, 2050, 2070, 2090, and 2100. Currently, the outputs of the second-generation Canadian Earth System Model are being used to create future weather files that will aid architects, urban designers, and planners in developing a built environment that is resilient to climate change. The novelty lies in using observed historical data from present-day weather files on the typical meteorological year for testing and training ML models. The typical meteorological weather files are composed of the concatenation of the monthly weather datasets from different years, which are referred to for testing and training ML models for bias correction.

Flood prediction has become essential to hydrology and natural disaster management due to the increasing frequency and severity of extreme hydrological events driven by climate change. This study compares two methodologies for predicting flood events in Morelia, Mexico: theoretical distribution functions and stochastic weather generators. The methodology integrates maximum runoff results for different return periods into a drainage network hydraulic model, using the Soil Conservation Service Curve Number (SCS-CN) method and a multivariate stochastic model (MASVC). Hydrodynamic modeling with HEC-RAS, incorporating two-dimensional shallow water equations, was used to simulate flood inundation areas. The study reveals that while both modeling approaches similarly replicate the system’s behavior, they produce different water levels due to variations in maximum flow values. The stochastic model tends to generate higher maximum water levels. High-resolution digital elevation models (DEMs) with a pixel size of five m in urban areas and 0.5 m in drainage network zones, and land use data were crucial in improving the accuracy of the hydraulic simulations. Findings indicate that unregulated urban growth in flood-prone areas significantly exacerbates the impact of flooding. The generated hazard maps and flood simulations provide valuable tools for urban planning and decision-making, highlighting the need for strategic interventions to mitigate flood risks. This research underscores the importance of integrating advanced modeling techniques in flood risk management to enhance the precision and reliability of flood predictions.

The current research proposes an integrated computational method to consider the effect of the urban microclimate and the higher urban air temperatures on the assessment of urban building energy demands on an annual basis. A one-way coupling procedure is established to generate datasets on typical weather years that can capture the particularities of the urban microclimate as a function of their morphological and geometrical characteristics, thus providing a global perspective of the annual building energy performance at a reasonable computational cost. The proposed simulation method, here applied for an energy performance analysis of generic, non-insulated building units located in four different urban sites of Thessaloniki, Greece, is based on the three tools: (a) the ENVI-met v.4 microclimate model, (b) the Meteonorm weather generator and (c) the dynamic BEPS tool EnergyPlus. The obtained simulation results indicate a decrease in the annual heating energy needs of the examined building units of 8.2–11.5% when the effect of urban warming was accounted for, along with a rise in the annual cooling energy needs of between 13.4 and 28.2%, depending on the case study area.

Existing datasets for training pedestrian detectors in images suffer from limited appearance and pose variation. The most challenging scenarios are rarely included because they are too difficult to capture due to safety reasons, or they are very unlikely to happen. The strict safety requirements in assisted and autonomous driving applications call for an extra high detection accuracy also in these rare situations. Having the ability to generate people images in arbitrary poses, with arbitrary appearances and embedded in different background scenes with varying illumination and weather conditions, is a crucial component for the development and testing of such applications. The contributions of this paper are three-fold. First, we describe an augmentation method for the controlled synthesis of urban scenes containing people, thus producing rare or never-seen situations. This is achieved with a data generator (called DummyNet) with disentangled control of the pose, the appearance, and the target background scene. Second, the proposed generator relies on novel network architecture and associated loss that takes into account the segmentation of the foreground person and its composition into the background scene. Finally, we demonstrate that the data generated by our DummyNet improve the performance of several existing person detectors across various datasets as well as in challenging situations, such as night-time conditions, where only a limited amount of training data is available. In the setup with only day-time data available, we improve the night-time detector by 17% log-average miss rate over the detector trained with the day-time data only.

Abstract. Spatio-temporal precipitation is modelled for urban application at 1 h temporal resolution on a 2 km grid using a spatio-temporal Neyman–Scott rectangular pulses weather generator (WG). Precipitation time series used as input to the WG are obtained from a network of 60 tipping-bucket rain gauges irregularly placed in a 40 km × 60 km model domain. The WG simulates precipitation time series that are comparable to the observations with respect to extreme precipitation statistics. The WG is used for downscaling climate change signals from regional climate models (RCMs) with spatial resolutions of 25 and 8 km, respectively. Six different RCM simulation pairs are used to perturb the WG with climate change signals resulting in six very different perturbation schemes. All perturbed WGs result in more extreme precipitation at the sub-daily to multi-daily level and these extremes exhibit a much more realistic spatial pattern than what is observed in RCM precipitation output. The WG seems to correlate increased extreme intensities with an increased spatial extent of the extremes meaning that the climate-change-perturbed extremes have a larger spatial extent than those of the present climate. Overall, the WG produces robust results and is seen as a reliable procedure for downscaling RCM precipitation output for use in urban hydrology.

Abstract. Spatio-temporal precipitation is modelled for urban application at 1 h temporal resolution on a 2 km grid using a Spatio-Temporal Neyman–Scott Rectangular Pulses weather generator (WG). Precipitation time series for fitting the model are obtained from a network of 60 tipping-bucket rain gauges irregularly placed in a 40 by 60 km model domain. The model simulates precipitation time series that are comparable to the observations with respect to extreme precipitation statistics. The WG is used for downscaling climate change signals from Regional Climate Models (RCMs) with spatial resolutions of 25 and 8 km respectively. Six different RCM simulations are used to perturb the WG with climate change signals resulting in six very different perturbation schemes. All perturbed WGs result in more extreme precipitation at the sub-daily to multi-daily level and these extremes exhibit a much more realistic spatial pattern than what is observed in RCM precipitation output. The WG seems to correlate increased extreme intensities with an increased spatial extent of the extremes meaning that the climate-change-perturbed extremes have a larger spatial extent than those of the present climate. Overall, the WG produces robust results and is seen as a reliable procedure for downscaling RCM precipitation output for use in urban hydrology.

This paper introduces a methodology aimed at bridging the gap between building energy simulation and urban climate modeling. A coupling method was developed through the Building Control Virtual Test Bed (BCVTB) and applied to a case study in Taipei City, Taiwan, to address the microclimate factors of street trees crucial to cooling energy consumption. The use of the Urban Weather Generator for weather file modification revealed a 0.63 °C average air temperature disparity. The coupling method emphasized the importance of accurate wind speed and convective heat transfer coefficients (CHTCs) on building surfaces in determining cooling energy. The results indicated that elevated CHTC values amplify heat exchange, with higher wind velocities playing a crucial role in heat dissipation. The presence of street trees was found to significantly reduce heat flux penetration, leading to a reduction in building surface temperatures by as much as 9.5% during hot months. The cooling energy was lowered by 16.7% in the BCVTB simulations that included trees compared to those without trees. The EnergyPlus-only simulations underestimated the cooling energy needs by approximately 9.3% during summer months. This research offers valuable insights into the complex interactions between buildings and their environments. The results highlight the importance of trees and shading in mitigating the heat island effect and improving energy-efficient urban planning.

As climate change intensifies and 2023 sets the record for the hottest year, the Amazonian region faces severe drought, leading to a hydroelectricity crisis. This study examines the effects of using environmentally harmful backup power solutions, which are all too common in developing countries—specifically, diesel-powered generators—on urban air quality in Quito, Ecuador, during the hydroelectric crisis of 2023/2024. The impact of the blackouts on air pollution is assessed by comparing it to a reference period before the crisis and to an earlier year with similar weather conditions. The findings indicate that extended blackouts (up to 8 h per day) considerably increased concentrations of SO2 (180%), CO (43%), NO2 (39%), and PM2.5 (20%) compared to ‘normal’ conditions. Conversely, O3 pollution levels decreased (−6%). Our findings suggest potential respiratory and cardiovascular health risks for the urban population, highlighting the urgent need for improved energy infrastructure and cleaner backup power solutions in the developing world. Addressing these challenges is critical for ensuring a healthier and more sustainable urban future amidst climate change projections.

Abstract This paper analyses the impact of urban form and vegetation on one of the most significant parameters that affect people’s thermal comfort and an indicator of urban heat vulnerability: the mean radiant temperature (MRT). To obtain spatialized results and understand in detail the current thermal situation of different public spaces that are part of the city, we combined the SOLWEIG calculation model included in the UMEP tool for QGIS with Urban Weather Generator for Rhino. Six neighbourhoods of Rome (IT) and the associated areas with typical compact urban forms, ranging from historical centre to modern suburbs, have been analysed in the warmest week of the year (August 03-09) during the most critical hours of the day (10 a.m. - 4 p.m.). Georeferenced maps with the mean values of MRT for the studied period allow us to analyse the thermal behaviour of each public square and neighbourhood and locate possible urban havens during heatwaves. This study is part of a larger work that seeks to define a more accurate approach to quantify heat vulnerability within the urban vulnerability indexes, in light of the climate crisis facing cities.

Abstract Urban areas are becoming increasingly vulnerable to extreme storms and flash floods, which could be more damaging under climate change. This study presented an integrated framework for assessing climate change impact on extreme rainfall and urban drainage systems by incorporating a number of statistical and modelling techniques. Starting from synthetic future climate data generated by the stochastic weather generator, the simple scaling method and the Huff rainfall design were adopted for rainfall disaggregation and rainfall design. After having obtained 3-min level designed rainfall information, the urban hydrological model (i.e., Storm Water Management Model) was used to carry out the runoff analysis. A case study in a tropical city was used to demonstrate the proposed framework. Particularly, the impact of selecting different general circulation models and Huff distributions on future 1-h extreme rainfall and the performance of the urban drainage system were investigated. It was revealed that the proposed framework is flexible and easy to implement in generating temporally high-resolution rainfall data under climate model projections and offers a parsimonious way of assessing urban flood risks considering the uncertainty arising from climate change model projections, downscaling and rainfall design.

The rapid urbanization of cities, combined with the challenges of climate change, has made managing outdoor thermal comfort a priority in urban planning. As cities experience rising temperatures, strategies to mitigate the Urban Heat Island (UHI) effect and enhance outdoor thermal comfort are becoming essential for enhancing the quality of life and promoting sustainable, healthy urban environments. This study investigates the impact of urban form features on UHI intensity and outdoor thermal comfort in Marrakech, Morocco. The UHI effect and thermal comfort, quantified using the Universal Thermal Climate Index (UTCI), were simulated across various urban canyon design scenarios using the Urban Weather Generator and Ladybug Tools. Five simulation experiments analyzed the effects of altering street aspect ratios, building heights, and street orientations within urban canyon geometry. The results show that compact urban canyons can increase air temperature by up to 6°C but offer significant benefits for thermal comfort during winter nights and spring and summer days. Street orientation had the greatest impact on thermal comfort, with UTCI variations reaching up to 15°C. The northeast-southwest orientation proved optimal across all seasons and building heights had a limited effect, except during winter. This study highlights the importance of urban design in mitigating UHI and enhancing outdoor thermal comfort, providing key insights for sustainable urban planning in hot climates. Overall, a compact urban canyon with a northeast-southwest street orientation is identified as the most effective design for improving outdoor thermal comfort in Marrakech.

Knowing the vector characteristics of the wind (direction, head, and intensity) is a prerequisite for determining the wind potential of a location. Based on the assessment of the wind potential, further analyses and research are carried out. Only when all the required conditions are met, the last two phases are reached: implementation (physical realization, i.e. installation) and exploitation (commissioning and use) of the wind generator. In this work, a statistical methodology was applied to examine the possibility of installing and using, primarily, vertical wind generators. Based on a one-year weather file (with a one-hour time step), characteristic diagrams (histogram of wind speed, wind rose, probability density function, cumulative distribution function, and height profile of wind speed) were formed for the assessment of the wind potential of the urban area of the city of Kragujevac. The proposed methodology can be used to assess the wind potential of any location, both urban and rural.

Frequently, the computer modelling of the natural and human-made environment requires localised weather files. Traditionally, the weather files are based on the observed weather at a small number of locations (14 for the UK). Unfortunately, both the climate and the weather are known to be highly variable across the landscape, so the small number of locations has the potential to cause large errors. With respect to buildings, this results in incorrect estimates of the annual energy use (sometimes by a factor of 2), or of overheating risk. Here we use a validated weather generator running on a 5 × 5 km grid to create probabilistic test reference years (pTRYs) for the UK at 11,326 locations. We then investigate the spatial variability of these pTRYs and of annual energy estimates and temperatures in buildings generated by them, both now and in 2080. Further pTRYs targeted at understanding the impact of minimum and maximum temperatures are proposed and produced at the same locations. Finally, we place these pTRYs, which represent the first set of reference weather files at this spatial resolution in the world and that include the urban heat island effect, into a publicly accessible database so researchers and industry can access them. Practical applications: Insufficiently localised weather data for building simulations have limited the accuracy of previous estimations of energy use and overheating risk in buildings. This work produces localised probabilistic test reference years (pTRYs) across the whole UK for now and future climates. In addition, a new pTRY method has been proposed in order to overcome an unexpected shortcoming of traditional pTRYs in representing typical maximum and minimum temperatures. These current and future weather data will be of interest to various disciplines including those interested in low carbon design, renewable energy and climate resilience.

Urban design has a profound impact on the local climate, which can result in changes in temperature distribution and energy demand. The Urban Heat Island (UHI), a well-documented issue where cities typically experience higher temperatures than the cooler rural surroundings that envelop them, is closely tied to urban design and its geometrical features. This increase in temperature can lead to increased energy consumption, particularly for air conditioning, as populations strive to maintain thermal comfort. Within this framework, this paper seeks to advance our comprehension of the influence of urban design on the Urban Heat Island (UHI) effect and building energy requirements. It makes a valuable contribution to the expanding body of research in this field, offering insightful guidance on optimal urban design strategies tailored to diverse climate zones in Morocco. To achieve these goals, we explore multiple urban design scenarios incorporating variations in building heights, street aspect ratios, building layout configurations, and street orientations. We employ the Urban Weather Generator and EnergyPlus for our analysis, with the former enabling the generation of synthetic weather data that accounts for the UHI effect in urban contexts, and the latter facilitating building energy simulations. The simulation results reveal a wide-ranging hourly variation in Urban Heat Island (UHI) intensity, spanning from 11°C to -5°C across the cities under study. Among these cities, Ifrane, Marrakesh, and Fes exhibit the highest average annual UHI intensity. Incorporating UHI considerations into energy simulations has yielded notable outcomes. Low-rise buildings experience a reduction in total energy requirements, while mid-rise and high-rise buildings exhibit an increase. For instance, adopting an urban design scenario featuring 20-story buildings and a street aspect ratio of 0.33 led to a rise in total energy demands between 8% and 19%. Furthermore, the street aspect ratio (H/W) emerges as the primary driver of UHI, whereas street orientation and building layout exert the most substantial influence on building energy requirements. Inefficient building layouts result in a significant increase in building energy needs, ranging from 106% to 121%, while less energy-efficient street orientations lead to total energy needs escalating by 28% to 76%.

Abstract. Hydro-meteorological hazards like convective outbreaks leading to torrential rain and floods are among the most critical environmental issues world-wide. In that context weather radar observations have proven to be very useful in providing information on the spatial distribution of rainfall that can support early warning of floods. However, quantitative precipitation estimation by radar is subjected to many limitations and uncertainties. The use of dual-polarization at high frequency (i.e. X-band) has proven particularly useful for mitigating some of the limitation of operational systems, by exploiting the benefit of easiness to transport and deploy and the high spatial and temporal resolution achievable at small antenna sizes. New developments on X-band dual-polarization technology in recent years have received the interest of scientific and operational communities in these systems. New enterprises are focusing on the advancement of cost-efficient mini-radar network technology, based on high-frequency (mainly X-band) and low-power weather radar systems for weather monitoring and hydro-meteorological forecasting. Within the above context, the main objective of the HYDRORAD project was the development of an innovative \\mbox{integrated} decision support tool for weather monitoring and hydro-meteorological applications. The integrated system tool is based on a polarimetric X-band mini-radar network which is the core of the decision support tool, a novel radar products generator and a hydro-meteorological forecast modelling system that ingests mini-radar rainfall products to forecast precipitation and floods. The radar products generator includes algorithms for attenuation correction, hydrometeor classification, a vertical profile reflectivity correction, a new polarimetric rainfall estimators developed for mini-radar observations, and short-term nowcasting of convective cells. The hydro-meteorological modelling system includes the Mesoscale Model 5 (MM5) and the Army Corps of Engineers Hydrologic Engineering Center hydrologic and hydraulic modelling chain. The characteristics of this tool make it ideal to support flood monitoring and forecasting within urban environment and small-scale basins. Preliminary results, carried out during a field campaign in Moldova, showed that the mini-radar based hydro-meteorological forecasting system can constitute a suitable solution for local flood warning and civil flood protection applications.

Replacing conventional pavements with the corresponding high albedo ones constitutes a well-known technique to improve outdoor thermal environment of modern cites. Since most of the existing studies assess the impact of the high albedo pavements at the pedestrian’s height and with respect to thermal comfort, this study aims to examine the effect of the application of highly reflective pavements on the heating and cooling energy needs of a building unit, located inside a dense urban area. Aiming at a higher accuracy of the energy performance simulations, an integrated computational method between ENVI-met model, Meteonorm weather data generator and Energy Plus software is established, to consider the site-specific microclimatic characteristics of the urban areas. The analysis is performed both for the design and the aged albedo values as significant changes may occur due to aging process. The analysis revealed that the application of cool materials on the ground surfaces only marginally affects the energy performance of the examined building unit, both for the design and the aged albedo value; changes on the annual heating and cooling energy demand, for both albedo scenarios did not exceed 1.5% revealing the limited potential of cool pavements regarding the improvement of the energy performance of urban building units.

In many regions, around the world, the living environment is under considerable pressure due to climate change. As a result of these challenges, researchers are now more motivated, to analyze and predict changes, in key climatic variables, such as temperature and precipitation, to provide valuable insights for future planning and management. The Long Ashton Research Station Weather Generator, simply refers to as (LARS-WG 8.0), is used for predicting daily precipitation under two scenarios: SSP2-45 and SSP5-85. The outputs of, five general circulation models (GCMs), are utilized from 2021 to 2040. The findings, suggest that, (1) a statistical analysis, confirmed the skill and reliability of the LARS-WG model in downsizing precipitation time series. As such, (2) the ensemble mean, of the five GCMs indicated a rise in both monthly and annual data for the specified timeframe compared to the baseline period of 1985–2015. The findings, can enhance our understanding, of how climate change impacts urban areas and the environment. Thereby motivating planners, and interested parties, to identify the most effective strategies for mitigating these effects.

In smart cities, the use of intelligent automatic techniques to find efficient cycle programs of traffic lights is becoming an innovative front for traffic flow management. However, this automatic programming of traffic lights requires a validation process of the generated solutions, since they can affect the mobility (and security) of millions of citizens. In this paper, we propose a validation strategy based on genetic algorithms and feature models for the automatic generation of different traffic scenarios checking the robustness of traffic light cycle programs. We have concentrated on an extensive urban area in the city of Malaga (in Spain), in which we validate a set of candidate cycle programs generated by means of four optimization algorithms: Particle Swarm Optimization for Traffic Lights, Differential Evolution for Traffic Lights, random search, and Sumo Cycle Program Generator. We can test the cycles of traffic lights considering the different states of the city, weather, congestion, driver expertise, vehicle’s features, and so forth, but prioritizing the most relevant scenarios among a large and varied set of them. The improvement achieved in solution quality is remarkable, especially forCO2emissions, in which we have obtained a reduction of 126.99% compared with the experts’ solutions.

Traffic flows (e.g., the traffic of vehicles, passengers, and bikes) aim to reveal traffic flow phenomena generated by traffic participants in traffic activities. Various studies of traffic flows rely heavily on high-quality traffic data. The taxi GPS trajectory data are location data that include latitude, longitude, and time. These data are critical for traffic flow analysis, planning, infrastructure layout, and recommendations for urban residents. A city map can be divided into multiple grids according to the latitude and longitude coordinates, and traffic passenger flows data derived from taxi trajectory data can be extracted. However, random missing data occur due to weather and equipment failure. Therefore, the effective imputation of missing traffic flow data is a hot topic. This study proposes the spatio-temporal generative adversarial imputation net (ST-GAIN) model to solve the traffic passenger flows imputation. An adversarial game with multiple generators and one discriminator is established. The generator observes some components of the time-domain and regional traffic data vector extracted from the grid. It effectively imputes the missing values of the spatio-temporal traffic passenger flow data. The experimental data are accurate Kunming taxi trajectory data, and experimental results show that the proposed method outperforms five baseline methods regarding the imputation accuracy. It is significant and suggests the possibility of effectively applying the model to predict the passenger flows in some areas where traffic data cannot be collected for some reason or traffic data are randomly missing.

The climatic signature of global warming is both local and global. The forcing by increasing greenhouse gases is global, so there is clearly a global component to the climatic signature. Moreover, the damaging impacts of global warming are manifesting themselves around the world in the form of extreme weather events like storms, tornadoes, floods and droughts, all of which have been escalating in frequency and intensity. Furthermore, it is a well-known fact that there is high degree of uncertainty surrounding projections of basic climate variables, such as temperature and precipitation. However, numerous authors have explored many of these effects individually and have begun exploring the interactions between climate change-induced impacts in different sectors of urban activities. Therefore, it is safe to say that an attempt to conduct a definitive, comprehensive analysis of all the potential impacts of climate change on the urban structure is premature at present. This communication attempts to examine the trends in maximum monthly urban temperature fluctuations. Analysis reveals increasing trends in urban temperature fluctuations showing effect of Kathmandu industrializations. Forecast models also suggest future scenario with respect to occurrence of extreme temperature. The analysis carried out in this work would be useful for urban planners for sustainable future development, economists and environmentalists etc. Let C be an urban complex (such as a city with its entire infrastructure) and UC the urban system associated with C. We shall consider UC = UC (PC, SC, EC) where, PC is the set of physical indicators like population, land, population density and infrastructure like developed and undeveloped areas etc. SC is the set of socio-economic factors and EC is the set of environmental indicators like pollution and climatic variability (land and sea surface temperature, frequency of hazards like cyclones etc.). All these sets are finite. The urban development can refer to both growth and decline. If we represent the growth of an urban complex by GC, then it will be the rate of increase of UC with respect to time so that GC = . G is thus a system resulting from the complex dynamical interactions of P, S, and E in a certain time interval. Furthermore, P, S, and E which are called generator functions or the complexity of the system U involve finite variables depending on time. On occasions these may be random making the situation complex. The urban growth G can be considered a system itself depending on P, S, and E. Thus, we can consider G = G (P, S, E). In the following we shall study the urban growth G in the perspective of the variability in P and E only so that G = G (P, E). We shall also study the interactions of P and E. The generator function P and E are themselves subsystems of the system G. We begin by reviewing the global and local trends of urban growth and then separately study the components P and E of urban growth G. The component P of G corresponds to the physical growth of the urban complex C under consideration i.e. the growth of urban population and area. As a consequence of urban growth, a settlement comprising of small population limited to a small area can be gradually transformed into a town, city and megacity. The process usually gets impetus from the massive population movements from rural to urban areas. The urban growth phenomenon associated with a particular urban complex at first seems to be very local but in the perspective of international migrations, globalization of socio-economic activities and environmental issues like global warming, it simultaneously translates into global one. The component E of G corresponds to the environmental issues associated with an urban complex C. There are a number of issues requiring attention and those which are particularly related to climatic variability. Climatic variability may be natural or arising from natural causes or may be anthropogenic arising due to non-friendly attitude of humans towards environment. There are various strands of the study of the links between urban growth and climatic variability. But we restrict ourselves to the study of the temperature variations associated with urban mega-complexes. It is interesting to study the impact of these temperature variations on the urban population. In this regard we have given stress to the possibility of increase in the number of tropical cyclones which can create hazards in the coastal populations. This is why we have selected the mega-city of Kathmandu to study as a test case. The following points are sufficient to gauge the importance of our selection. As regards population and population density Kathmandu is among one of the top of the world It has a very high population growth rate Though it is considered to be a planned city but problems related to its unplanned part which consists of slums seems to overwhelm those of the planned part. It is considered a city having a moderate climate as compared to the other parts of the country. But now spells of intense heat can be easily observed in the records of past few decades. It is the economic hub of Nepal as it is Kingdom of Nepal. The situation arising from the very high population growth rate and the increasing number of Kathmandu is clearly hazardous and it will be no exaggeration if we consider high level of population concentration pollution itself. We are of the opinion that the enhanced level of anthropogenic activities is increasing the environmental burden. So we shall stress upon (d) as well and will see that how the extreme temperatures are behaving and whether these extremes are under the influence of human activities or not. In the perspective of Kathmandu the urban growth G will be a system G = G (P, S, E) with P, S and E as its subsystems where P = P (p (t), A (t)) and E = E (T1 (t), Tss (t)), p, A, Tl, Tss and t represent the population, area, land temperature, sea surface temperature and time respectively. The subsystem P can further be considered asP = Ps(p (t), A (t)) + Pus (p (t), A (t)) where Ps and Pus are the settled and unsettled parts respectively of an urban complex. P and E and in turn G can be considered as physical processes. The subsystem S because of its prime importance has worth for a separate study and will be considered somewhere else.

To properly evaluate weather variables regulating the occurrence of geo-hydrological hazards, the current constraints of climate models imply the need of adopting statistical approaches in cascade to GCM/RCM for the assessment of the potential variations associated to climate changes. Since, in the last years, several approaches, often freely available, have been proposed and applied to investigate various hazards in different geographical areas and geomorphological contexts, a deeper understanding about their performances and constraints is crucial; in the work, it is carried out focusing the attention on two kind of approaches widely adopted in impact studies: bias correction methods(in particular, quantile mapping tools) and weather generators. Both methodology have been applied to outputs of an high resolution RCM simulation carried out on Italian territory for analyzing two very localized (and then challenging) landslide case studies. Beyond an assessment about relative performances in reproducing weather variables on the areas, the goal concerns an increasing awareness about how these approaches could affect the climate signal, physically detected by RCM, not only in outputs weather variables but also in derived components of soil surface budgets strictly governing the occurrence of landslide phenomena.

To properly evaluate weather variables regulating the occurrence of geo-hydrological hazards, the current constraints of climate models imply the need of adopting statistical approaches in cascade to GCM/RCM for the assessment of the potential variations associated to climate changes. Since, in the last years, several approaches, often freely available, have been proposed and applied to investigate various hazards in different geographical areas and geomorphological contexts, a deeper understanding about their performances and constraints is crucial; in the work, it is carried out focusing the attention on two kind of approaches widely adopted in impact studies: bias correction methods(in particular, quantile mapping tools) and weather generators. Both methodology have been applied to outputs of an high resolution RCM simulation carried out on Italian territory for analyzing two very localized (and then challenging) landslide case studies. Beyond an assessment about relative performances in reproducing weather variables on the areas, the goal concerns an increasing awareness about how these approaches could affect the climate signal, physically detected by RCM, not only in outputs weather variables but also in derived components of soil surface budgets strictly governing the occurrence of landslide phenomena.

It is now well-known that the frequency, intensity and duration of heatwaves will strongly increase along the XXIth century, which introduces the urban built environment resilience as a new paradigm. In Paris, the intense 2003 heatwave demonstrated that warm urban temperatures could result in serious adverse health issues. Temperatures were particularly elevated during nighttime, due to the urban heat island effect. Since air-conditioning has not penetrated yet in residential French buildings, studying the potential of combined mitigation strategies at the district and building scale to increase the neighbourhood and buildings resilience in strong urbanized areas under future heatwaves is a key subject matter. The climate change aspect is integrated through a future heatwave weather file, re-assembled from dynamically downscaled multi-year regional climate change projections from the EURO-CORDEX project. The new ecodistrict Clichy-Batignolles in central Paris is chosen as a case study, recognized as innovative for low-energy and environmental solutions. It is composed of high-rise residential and commercial buildings, large green areas, cool surfaces, and reduced anthropogenic sources. We used an Urban Canyon Model (Urban Weather Generator) to model the neighbourhood and different design configurations (building height and density, green and cool surfaces). The designs and measures were evaluated through a sensitivity analysis to analyse their potential to mitigate the urban local microclimate air temperature during the heatwaves. We quantified the neighbourhood resilience and found that the ecodistrict is exposed to a strong urban heat stress under the future intense heatwave. These results highlight how outdoor overheating assessment can be used to evaluate the district mitigation and adaptation strategies. This approach can be used for urban planning, while the modelled future urban heatwaves can be used as an input for building simulations and evaluate the resilience of the buildings to urban heat stress.

Extreme heat events, exacerbated by climate change, are intensified in cities by the urban heat island (UHI) effect. A primary cause of UHI is the replacement of natural lands with buildings and roads, trapping heat in the city. Singapore, a high-rise high-density city state in Southeast Asia, has taken actions to mitigate UHI including the expansion of urban green spaces. Increasing urban greenery to mitigate UHI is one of many strategies being tested in the emerging field of climate-responsive city planning. To justify UHI mitigation planning strategies to city stakeholders, however, requires an ability to estimate effectiveness and efficiency in measures. This case study implements a generative urban model to evaluate UHI across a range of urban density scenarios, testing the impacts of both green space and building design strategies in three stages: (i) urban generative modeling, (ii) UHI prediction simulation, and (iii) urban data analysis. The study conducts urban generative modeling for a 100-ha site, using a model created to specifically reflect Singapore’s development control guidelines. Across eight selected design parameters, an extensive set of design solutions (9,000) is obtained via a one-factor-at-a-time sampling method. The Urban Weather Generator tool is used to evaluate the UHI performance per solution. Design space exploration of the urban model and analysis of results identify best-performing UHI mitigation strategies, correlation among model parameters, and parameter significance. These results permit discussion of effective city planning and design strategies for UHI mitigation. Readers engaging with this case study will gain an understanding of the application of urban data analytics to climate-resilient city planning supported by generative urban models and UHI performance simulation.

The use of technical and software tools to control and make decisions to optimize the electricity production process will help solve the problem of limited economic and labor resources. The results obtained during this study solve the problem of saving electricity in the cities of Kazakhstan. So far, there are only large wind farms, which is not always available in simple urban conditions. Moreover, the software developed during the study will allow autonomous control and analysis of the behavior of the wind farm taking into account various weather conditions. Implemented a construction of decision-making system for control of wind generator panel structures. According to the results of experiments, it was found that automatic control of shield structures allows specialists to increase power by 25%. Thus, a nonlinear relationship between the power of the generated energy, wind speed and direction has been revealed.

I can remember setting up the dish, all the excitement of assembling it [...] and then putting the motor on. And in the late afternoon, you position the dish and kind of turn it, to find the right spot, and all of a sudden on this blank television screen there was an image that came on. And it was shocking knowing that this noise and this thing would be there, and begin to infiltrate – because I see it as an infiltration, I see it as invasion – I’m not mad on television, very choosy really about what I watch – and I see it as an invasion, and there was GWN as well as the ABC. I just thought ‘by golly, I’m in the process of brain-washing people to accept stuff without thinking about it, like consciously considering either side of any case’ [...] The one thing that protected you from having it on at all times was the need to put on the generator in order to power it. I felt a bit sad actually. (Savannah Kingston, Female, 55+ – name changed – homestead respondent) This paper addresses the huge communications changes that occurred over the past fifty years in outback Western Australia. (What happened in WA also has parallels with equivalent events in the Northern Territory, Queensland, in the larger properties in western New South Wales and northern South Australia.) Although the ‘coming of television’ – associated in remote areas with using a satellite dish to scan for the incoming signal – is typically associated with a major shift in community and cultural life, the evidence suggests that the advent of the telephone had an equivalent or greater impact in remote areas. With the introduction of the telephone, the homestead family no longer had to tune into (or scan) the radio frequencies to check on predicted weather conditions, to respond to emergencies, to engage in roll call or to hold a ‘public meeting’. As the scanning of the radio frequencies ended, so the scanning of the satellite signals began. As Sandstone resident Grant Coleridge (pseudonym, male, 40-54) said, only half ironically, “We got the telephone and the telly at the same time, so civilisation sort of hit altogether actually.” The scale and importance of changes to the technological communications infrastructure in remote WA within a single life-time spans pre-2-way radio to video livestock auctions by satellite. It comes as a surprise to most Australians that these changes have occurred in the past generation. As recent viewers of the unexpectedly-successful Mongolian film The Story of the Weeping Camel (2004) would know, one of the themes of the Oscar-nominated movie is the coming of television and its impact upon a traditional rural life. The comparative availability of television outside the rural areas of Mongolia – and its attraction to, particularly, the younger family members in the Weeping Camel household – is a motif that is explored throughout the narrative, with an unspoken question about the price to be paid for including television in the cultural mix. It’s easy to construct this story as a fable about the ‘exotic other’, but the same theme was played out comparatively recently in remote Western Australia, where the domestic satellite service AUSSAT first made television an affordable option just under twenty years ago. This paper is about the people in remote Western Australia who started scanning for the satellite signal in 1986, and stopped scanning for the RFDS (Royal Flying Doctor Service) 2-way radio phone messages at about the same time. Savannah Kingston (name changed), who in 1989 generously agreed to an in-depth interview discussing the impact of satellite broadcasting upon her outback life, was a matriarch on a rural property with four grown children. She had clear views upon ways in which life had changed dramatically in the generation before the satellite allowed the scanning of the television signal. Her recollection of the weft and warp of the tapestry of life in outback WA started thirty-five years previously, with her arrival on the station as a young wife: When I went there [mid-1950s], we had a cook and we ate in the dining room. The cook and anyone who worked in the house ate in the kitchen and the men outside ate in the outside. So, with the progress of labour away from the bush, and the cost of labour becoming [prohibitive] for a lot of people, we got down to having governesses or house-girls. If the house-girls were white, they ate at the table with us and the governesses ate with us. If the house-girls were Aboriginal, they didn’t like eating with us, and they preferred to eat in the kitchen. The kids ate with them. Which wasn’t a good idea because two of my children have good manners and two of them have appalling manners. The availability of domestic help supported a culture of hospitality reminiscent of British between-the-wars country house parties, recreated in Agatha Christie novels and historically-based films such as The Remains of the Day (1993): In those early days, we still had lots of visitors [...] People visited a lot and stayed, so that you had people coming to stay for maybe two or three days, five days, a week, two weeks at a time and that required a lot of organisation. [int:] WHERE DID YOUR VISITORS COME FROM? City, or from the Eastern states, occasionally from overseas. [Int:] WOULD THEY BE RELATIVES? Sometimes relatives, friends or someone passing through who’d been, you know, someone would say ‘do visit’ and they’d say ‘they’d love to see you’. But it was lovely, it was good. It’s a way of learning what’s going on. (Savannah Kingston.) The ‘exotic other’ of the fabled hospitality of station life obscures the fact that visitors from the towns, cities and overseas were a major source of news and information in a society where radio broadcasts were unpredictable and there was no post or newspaper delivery. Visitors were supplemented by a busy calendar of social events that tied together a community of settlements in gymkhanas, cricket fixtures and golf tournaments (on a dirt course). Shifts in the communications environment – the introduction of television and telephone – followed a generation of social change witnessing the metamorphosis of the homestead from the hub of a gentrified lifestyle (with servants, governesses, polo and weekends away) to compact, efficient business-units, usually run by a skeleton staff with labour hired in at the peak times of year. Over the years between the 1960s-1980s isolation became a growing problem. Once Indigenous people won the fight for award-rate wages their (essentially) unpaid labour could no longer support the lifestyle of the station owners and the absence of support staff constrained opportunities for socialising off the property, and entertaining on it, and the communication environment became progressively poorer. Life on the homestead was conceived of as being more fragile than that in the city, and more economically vulnerable to a poor harvest or calamities such as wildfire. The differences wrought by the introduction of newer communication technologies were acknowledged by those in the country, but there was a clear resistance to city-dwellers constructing the changes as an attack upon the romance of the outback lifestyle. When the then Communications Minister Tony Staley suggested in 1979 that a satellite could help “dispel the distance – mental as well as geographical – between urban and regional dwellers, between the haves and the have-nots in a communication society”, he was buying into a discourse of rural life which effectively disempowered those who lived in rural and remote areas. He was also ignoring the reality of a situation where the Australian outback was provided with satellite communication a decade after it was made available to Canadians, and where the king-maker in the story – Kerry Packer – stood to reap a financial windfall. There was a mythological dimension to Australia (finally) having a domestic satellite. Cameron Hazelhurst’s article on ‘The Dawn of the Satellite Era in Australia’ includes a colourful account of Kerry Packer’s explanation to Prime Minister Malcolm Fraser of the capacity of domestic satellites to bring television, radio and telephone services to isolated communities in arctic Canada: And I [Packer] went and saw the Prime Minister and I explained to him my understanding of what was happening in those areas, and to his undying credit he grasped on to it immediately and said ‘Of course, it’s what we want. It’s exactly the sort of thing we need to stop the drift of people into urban areas. We can keep them informed. We can allow them to participate in whatever’s happening around the nation (Day 7, cited in Hazelhurst). Fraser here, as someone with experience of running a rural property in Victoria, propounds a pro-country rhetoric as a rationale for deployment of the satellite in terms of the Australian national policy agenda. (The desire of Packer to network his television stations and couple efficiency with reach is not addressed in this mythological reconstruction.) It is difficult, sometimes, to appreciate the level of isolation experienced on outback properties at the time. As Bryan Docker (male, 40-54), a resident of Broome at the time of the interviews, commented, “Telegrams, in those days, were the life-blood of the stations, through the Flying Doctor Service. But at certain times of the year the sun spots would interfere with the microwave links and we were still on morse from Broome to Derby during those periods.” Without reliable shortwave radio; with no television, newspapers or telephone; and with the demands of keeping the RFDS (Royal Flying Doctor Service) 2-way radio channel open for emergencies visitors were one of the ways in which station-dwellers could maintain an awareness of current events. Even at the time of the interviews, after the start of satellite broadcasting, I never travelled to an outback property without taking recent papers and offering to pick up post. (Many of the stations were over an hour’s journey from their nearest post office.) The RFDS 2-way radio service offered a social-lifeline as well as an emergency communication system: [Int:] DO YOU MISS THE ROYAL FLYING DOCTOR SERVICE AT ALL? Yes, I do actually. It’s – I think it’s probably more lonely now because you used to switch it on and – you know if you’re here on your own like I am a lot – and you’d hear voices talking, and you used to know what everybody was doing – sort of all their dramas and all their [...] Now you don’t know anything that’s going on and unless somebody rings you, you don’t have that communication, where before you used to just hop over to another channel and have a chat [...] I think it is lonelier on the telephone because it costs so much to ring up. (Felicity Rohrer, female, 40-54, homestead.) Coupled with the lack of privacy of 2-way radio communication, and the lack of broadcasting, was the particular dynamic of a traditional station family. Schooled at home, and integrated within their homestead lifestyle, station children spent most of their formative years in the company of one or other of their parents (or, in previous decades, the station staff). This all changed at secondary school age when the children of station-owners and managers tended to be sent away to boarding school in the city. Exposure of the next generation to the ways of city life was seen as a necessary background to future business competence, but the transitions from ‘all’ to ‘next-to-nothing’ in terms of children’s integration within family life had a huge socio-emotional cost which was aggravated, until the introduction of the phone service, by the lack of private communication channels. Public Relations and news theory talk about the importance of the ‘environmental scan’ to understand how current events are going to impact upon a business and a family: for many years in outback Australia the environmental scan occurred when families got together (typically in the social and sporting rounds), on the RFDS radio broadcasts and ‘meetings’, in infrequent visits to the closest towns and through the giving and receiving of hospitality. Felicity Rohrer, who commented (above) about how she missed the RFDS had noted earlier in her interview: “It’s made a big difference, telephone. That was the most isolating thing, especially when your children were away at school or your parents are getting older [...] That was the worst thing, not having a phone.” Further, in terms of the economics of running a property, Troy Bowen (male, 25-39, homestead respondent) noted that the phone had made commercial life much easier: I can carry out business on the phone without anyone else hearing [...] On the radio you can’t do it, you more or less have to say ‘well, have you got it – over’. ‘Yeah – over’. ‘Well, I’ll take it – over’. That’s all you can do [...] Say if I was chasing something [...] the cheapest I might get it down to might be [...] $900. Well I can go to the next bloke and I can tell him I got it down to $850. If you can’t do any better than that, you miss out. ‘oh, yes, alright $849, that’s the best I can do.’ So I’ll say ‘alright, I’ll take it’. But how can you do that on the radio and say that your best quote is [$850] when the whole district knows that ‘no, it isn’t’. You can’t very well do it, can you? This dynamic occurs because, for many homestead families prior to the telephone, the RFDS broadcasts were continuously monitored by the women of the station as a way of keeping a finger on the pulse of the community. Even – sometimes, especially – when they were not part of the on-air conversation, the broadcast could be received for as far as reception was possible. The introduction of the phone led to a new level of privacy, particularly appreciated by parents who had children away at school, but also introduced new problems. Fran Coleridge, (female, 40-54, Sandstone) predicted that: The phone will lead to isolation. There’s an old lady down here, she’s about 80, and she housekeeps for her brother and she’s still wearing – her mother died 50 years ago – but she’s still wearing her clothes. She is so encapsulated in her life. And she used to have her [RFDS] transceiver. Any time, Myrtle would know anything that’s going on. Anything. Birthday party at [local station], she’d know about it. She knew everything. Because she used to have the transceiver on all the time. And now there’s hardly any people on, and she’s a poor little old lonely lady that doesn’t hear anything now. Can you see that? Given the nuances of the introduction of the telephone (and the loss of the RFDS 2-way), what was the perceived impact of satellite broadcasting? Savannah Kingston again: Where previously we might have sat around the table and talked about things – at least the kids and I would – with television there is now more of a habit of coming in, showering and changing for dinner, putting on the motor and the men go and sit in front of the television during [...] six o’clock onwards, news programs and whatnot and um, I find myself still in the kitchen, getting the meal and then whoever was going to eat it, wanting to watch whatever was on the television. So it changed quite appreciably. Felicity Rohrer agrees: [Int:] DO YOU THINK THERE HAVE BEEN CHANGES IN THE TIME THAT YOU SPEND WITH EACH OTHER? Yes, I think so. They [the homestead household] come home and they – we all sit down here and look at the news and have a drink before tea whereas people used to be off doing their own tea. [Int] SO YOU THINK IT’S INCREASED THE AMOUNT OF TIME YOU SPEND TOGETHER? Yes, I think so – well, as a family. They all try and be home by 6 to see the [GWN] news. If they miss that, we look at the 7 o’clock [ABC], but they like the Golden West because it’s got country news in it. But the realities of everyday life, as experienced in domestic contexts, are sometimes ignored by commentators and analysts, except insofar as they are raised by interviewees. Thus the advent of the satellite might have made Savannah Kingston feel “a bit sad actually”, but it had its compensations: It was definitely a bit of a peace-maker. It sort of meant there wasn’t the stress that we had previously when going through [...] at least people sitting and watching something, you’re not so likely to get into arguments or [...] It definitely had value there. In fact, when I think about it, that might be one of its major applications, ’cos a lot of men in the bush tend to come in – if they drink to excess they start drinking in the evening, and that can make for very uncomfortable company. For film-makers like the Weeping Camel crew – and for audiences and readers of historical accounts of life in outback Australia – the changes heralded by the end of scanning the RFDS channels, and the start of scanning for satellite channels, may seem like the end of an era. In some ways the rhythms of broadcasting helped to homogenise life in the country with life in the city. For many families in remote homes, as well as the metropolis, the evening news became a cue for the domestic rituals of ‘after work’. A superficial evaluation of communications changes might lead to a consideration of how some areas of life were threatened by improved broadcasting, while others were strengthened, and how some of the uniqueness of a lifestyle had been compromised by an absorption into the communication patterns of urban life. It is unwise for commentators to construct the pre-television past as an uncomplicated romantic prior-time, however. Interviews with those who live such changes as their reality become a more revealing indicator of the nuances and complexities of communications environments than a quick scan from the perspective of the city-dweller. References Day, C. “Packer: The Man and the Message.” The Video Age (February 1983): 7 (cited in Hazelhurst). Hazelhurst, Cameron. “The Dawn of the Satellite Era.” Media Information Australia 58 (November 1990): 9-22. Staley, Tony. Commonwealth Parliamentary Debates. Canberra: House of Representatives Hansard (18 October 1979): 2225, 2228-9. The Remains of the Day. 1993. The Story of the Weeping Camel. Thinkfilm and National Geographic, 2004. Citation reference for this article MLA Style Green, Lelia. "Scanning the Satellite Signal in Remote Western Australia." M/C Journal 8.4 (2005). echo date('d M. Y'); ?> <http://journal.media-culture.org.au/0508/01-green.php>. APA Style Green, L. (Aug. 2005) "Scanning the Satellite Signal in Remote Western Australia," M/C Journal, 8(4). Retrieved echo date('d M. Y'); ?> from <http://journal.media-culture.org.au/0508/01-green.php>.