High-resolution simulation of heatwave events in New York City

Ramamurthy, Prathap; Li, D.; Bou‐Zeid, Elie

doi:10.1007/s00704-015-1703-8

Cited by 76 publications

(68 citation statements)

References 42 publications

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“…While we present the mean thermal characteristics of the coastal-urban environment here, additional work is necessary to study the turbulent transport of heat, momentum and moisture within the coastal-urban boundary layer. Current numerical weather prediction models used in the study of the urban boundary layer (e.g., Leroyer et al 2014;Gutiérrez et al 2015b;Ortiz et al 2016;Ramamurthy et al 2017b) lack a realistic representation of urban-coastal interactions, since boundary-layer parametrizations are unable to reproduce the thermal internal boundary layers observed. More effort and sustained observations are necessary to improve the predictability of the thermal conditions in the coastal-urban environment.…”

Section: Discussionmentioning

confidence: 99%

Thermal Structure of a Coastal–Urban Boundary Layer

Melecio-Vázquez

Ramamurthy

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et al. 2018

Boundary-Layer Meteorol

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We use various temperature profilers located in and around New York City to observe the structure and evolution of the thermal boundary layer. The primary focus is to highlight the spatial variability of potential-temperature profiles due to heterogeneous surface forcing in an urban environment during different flow conditions. Overall, the observations during the summer period reveal the presence of thermal internal boundary layers due to the interaction between the marine atmospheric boundary layer and the convective urban environment. The summer daytime potential-temperature profiles within the city indicate a superadiabatic layer is present near the surface beneath a mildly stable layer. Large spatial variability in the near-surface (0-300 m) potential temperature is detected, with the thermal profile in the lower atmosphere uniquely determined by the underlying surface forcing and the distance from the coast. The summer and winter average night-time potential-temperature profiles show that the atmosphere is still convective near the surface. The seasonal averages of mixing ratio show large variability in the vertical direction.Keywords Coastal boundary layer · Microwave radiometer · Moisture boundary layer · Thermal boundary layer · Urban boundary layer

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Section: Discussionmentioning

confidence: 99%

Thermal Structure of a Coastal–Urban Boundary Layer

Melecio-Vázquez

Ramamurthy

Arend

et al. 2018

Boundary-Layer Meteorol

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“…This will significantly impact urban areas that are already subjected to elevated air temperatures [ Grimmond et al , ]. Recent research has shown that heat waves have the potential to amplify UHI [ Li and Bou‐Zeid , ; Ramamurthy et al , ], which will bear adverse consequences to urban residents. A heat wave, unlike a UHI, is a mesoscale event that brings warm air from the upper atmosphere [ Black et al , ; Xoplaki et al , ].…”

Section: Introductionmentioning

confidence: 99%

Heatwaves and urban heat islands: A comparative analysis of multiple cities

2017

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The recent International Panel on Climate Change report predicts the highly urbanized Northeastern U.S. to be at high risk to heat waves. Since urban residents and infrastructure are known to be highly vulnerable to extreme heat, the goal of this paper is to understand the interaction between the synoptic‐scale heat wave and the city‐scale urban heat island (UHI) effects. The study also qualitatively analyzes the primary factors that contribute to UHIs by comparing their intensities in different cities with distinct geo‐physical characteristics. Our results, generated by using the Weather Research and Forecasting model augmented with advanced urban surface parameterizations, confirm that the amplitude of UHI is related to the physical size of the city. However, the results suggest that cities of comparabale sizes might interact differently with heat waves: in New York City; Washington, DC; and Baltimore (but not in Philadelphia) the regular UHI was amplified more strongly during heat waves compared to smaller cities. The results also establish that the pattern of UHI in different cities, its variability, and its interaction with heat waves are inherently linked to dynamic factors.

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“…NY, Ramamurthy et al (2015) found that the lack of soil moisture could lead to potential increase in average UHI values. Li et al (2014) also found that in the BaltimoreWashington Metropolitan area, lack of moisture availability is the main factor contributing to UHI.…”

Section: Uhi Variability Among Cities During Extreme Heat Periodmentioning

confidence: 98%

“…On a local level, this could be related to the sensitivity of coastal cities to sea breeze and coastal winds. Ramamurthy et al (2015) used a high-resolution numerical weather model (the weather research and forecasting model) with enhanced urban parameterization to study two extreme heat events in New York City. The analysis used 1-way nested domain centered over New York City, with the grid resolution of the inner most domain set at 1 km.…”

Section: Uhi Variability Among Cities During Extreme Heat Periodmentioning

confidence: 99%

“…However the satellite data is highly useful in spatially mapping the impact of urbanization albeit to surface temperature. There exists two methods to quantify UHI based on air temperature; one through direct observations (Gedzelman et al 2003;Gaffin et al 2008) and the other through numerical weather modeling (Ramamurthy et al 2015). The numerical models are the most effective as they have both high spatial and temporal resolution, however it is computationally expensive to run these models for extended periods of time (Mirzaei & Haghighat 2010).…”

Section: Introductionmentioning

confidence: 99%

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