Assessment of Heatwave Impacts

Hatvani-Kovacs, Gertrud; Belusko, Martin; Pockett, John; Boland, John

doi:10.1016/j.proeng.2016.10.039

Cited by 42 publications

(20 citation statements)

References 14 publications

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“…While air conditioning provides relief from intense heat, the resulting increased energy use can place pressure on electricity infrastructure and raise the cost of electricity production [3,4]. Furthermore, higher electricity prices for low-income households can lead to energy poverty, reducing the capacity to live with proper environmental protection and raising the risk of excess mortality in both the summertime and wintertime [4].…”

Section: Introductionmentioning

confidence: 99%

Integrating Satellite and Ground Measurements for Predicting Locations of Extreme Urban Heat

Shandas

Voelkel

Williams

et al. 2019

Climate

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The emergence of urban heat as a climate-induced health stressor is receiving increasing attention among researchers, practitioners, and climate educators. However, the measurement of urban heat poses several challenges with current methods leveraging either ground based, in situ observations, or satellite-derived surface temperatures estimated from land use emissivity. While both techniques contain inherent advantages and biases to predicting temperatures, their integration may offer an opportunity to improve the spatial resolution and global application of urban heat measurements. Using a combination of ground-based measurements, machine learning techniques, and spatial analysis, we addressed three research questions: (1) How much do ambient temperatures vary across time and space in a metropolitan region? (2) To what extent can the integration of ground-based measurements and satellite imagery help to predict temperatures? (3) What landscape features consistently amplify and temper heat? We applied our analysis to the cities of Baltimore, Maryland, and Richmond, Virginia, and the District of Columbia using geocomputational machine learning processes on data collected on days when maximum air temperatures were above the 90th percentile of historic averages. Our results suggest that the urban microclimate was highly variable across all of the cities—with differences of up to 10 °C between coolest and warmest locations at the same time—and that these air temperatures were primarily dependent on underlying landscape features. Additionally, we found that integrating satellite data with ground-based measures provided highly accurate and precise descriptions of temperatures in all three study regions. These results suggest that accurately identifying areas of extreme urban heat hazards for any region is possible through integrating ground-based temperature and satellite data.

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Section: Introductionmentioning

confidence: 99%

Integrating Satellite and Ground Measurements for Predicting Locations of Extreme Urban Heat

Shandas

Voelkel

Williams

et al. 2019

Climate

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“…The creation of urban heat islands (UHI) in dense cities due to the removal of urban green spaces has received some attention within literature [48,51], leading to increased rates of mortality and heat-related illness [48]. It is noted that through the relationship between the built environment and UHI is not always clear: reintroduction and irrigation of urban greenspaces can reduce local temperatures [10]. Figure 3 Measuring Heatwaves and Their Impacts, [9].…”

Section: Built Environmentsmentioning

confidence: 99%

“…10) and industry ( Table 2) concerns and the focus of literature (predominately on health impacts) suggests that there is a requirement for literature to catch up in many sectors. The impact of heatwaves on water demand, for example, is identified as an area where little to no research has been undertaken [10], despite water-sensitive design being identified as a key consideration for adaption to climate change [66]. While there is an abundance of knowledge about the effect of heat on the natural environment, there is little knowledge about the effect of heatwaves [53,60].…”

Section: Impactsmentioning

confidence: 99%

“…The need for a structured framework approach is identified in the critical infrastructure and climate change review by Mikellidou et al [9], which highlights that attempts to quantify impacts to date have failed to discuss interdependencies and resilience and often varied in analytical and methodological approach. Mikellidou et al [9] and Hatvani-Kovacs et al [10] call for an integrative approach to climate change analysis to understand heatwave impacts. A need identified by Hatvani-Kovacs et al [10] is the ability for predictive analysis of heatwave impacts such that scarce resources may be efficiently utilized.…”

Section: Introductionmentioning

confidence: 99%

“…Mikellidou et al [9] and Hatvani-Kovacs et al [10] call for an integrative approach to climate change analysis to understand heatwave impacts. A need identified by Hatvani-Kovacs et al [10] is the ability for predictive analysis of heatwave impacts such that scarce resources may be efficiently utilized.…”

Section: Introductionmentioning

confidence: 99%

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Measuring Heatwaves and Their Impacts

Disher

Edwards

Lawler

et al. 2020

Encyclopedia of Sustainability Science and Technology

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Exposure The probability of being impacted by a hazard of a given magnitude. External Drivers Factors which influence the vulnerability, hazard, and/or exposure components of risk. Hazard The event (here, heatwave) causing risk to a system or component with a given magnitude. Indices Quantitative metrics based on atmospheric parameters and other measurements used to measure the severity of heatwave events. Return Period The average period expected between a defined magnitude event. Vulnerability The relationship between a hazard's magnitude and the relative damage experienced by the component or system of interest. Definition of the Subject Heatwaves are widely reported natural hazards that cause a myriad of negative impacts. Due to climate change, heatwaves are predicted to occur more frequently and with greater severity than previously experienced. Despite increasing relevance, formal analysis of heatwaves and their impacts is limited. Where studies have been undertaken, there has been little consensus across the world as to the most appropriate definition and handling of extreme temperature events.

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Assessment of hot weather seasonal temperatures over India using Monsoon Mission Coupled Forecasting System hindcasts

Rohini

Rajeevan

Rao

et al. 2022

Intl Journal of Climatology

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The present study evaluates the skill of seasonal forecasts of temperatures over India during April to June using the Monsoon Mission Coupled Forecasting System (MMCFS) model hindcasts, which are initialized with February initial conditions. Model hindcast data of 1981-2017 period have been used for the analysis. The India Meteorological Department (IMD) gridded temperature dataset has been used for model verifications. The MMCFS model captures the annual cycle of temperatures reasonably well, but with a higher mean and smaller variability compared to observations. The model hindcasts show a significant skill for seasonal forecasts of temperatures over most of northwest and central India. Empirical Orthogonal Function (EOF) analysis suggests that the model captures temporal and spatial characteristics of different modes of maximum temperatures but with less accuracy. The model teleconnections of maximum temperatures with Indian Ocean sea surface temperatures (SSTs) and El Niño-Southern Oscillation (ENSO) are weakly represented. The model is also found capable of predicting the spatial distribution of heat wave characteristics such as heat wave frequency (HWF) and heat wave duration (HWD) reasonably well. The present study suggests that the MMCFS Model can be used to generate a useful outlook of hot weather seasonal temperatures and heat waves over India.

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Assessment of Heatwave Impacts

Cited by 42 publications

References 14 publications

Integrating Satellite and Ground Measurements for Predicting Locations of Extreme Urban Heat

Integrating Satellite and Ground Measurements for Predicting Locations of Extreme Urban Heat

Measuring Heatwaves and Their Impacts

Assessment of hot weather seasonal temperatures over India using Monsoon Mission Coupled Forecasting System hindcasts

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