Micrometeorology of an ephemeral desert city, the Burning Man experiment

Oliphant, A. J.; Stein, Sam I.; Bradford, Garrett

doi:10.1016/j.uclim.2017.03.001

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Combined with reduced radiative cooling (or enhanced radiative trapping), the storage heat flux is a major contributor (Oke and Cleugh 1987). Oliphant et al (2018) demonstrate the importance of building materials such as concrete and asphalt as an essential factor to enhance ΔQ S , as increased surface roughness using light-weight materials neither affect the storage term nor the UHI. As nocturnal cooling is important for recovering from daytime heat stress (Rocklöv et al 2011;Thorsson et al 2014), the expected increases in both urban population (UN 2015) and heat wave frequency (Schär et al 2004) will likely cause increased heat stress and heatrelated morbidity and mortality.…”

Section: Introductionmentioning

confidence: 99%

Urban storage heat flux variability explored using satellite, meteorological and geodata

Lindberg

Olofson

Sun

et al. 2020

Theor Appl Climatol

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The storage heat flux (ΔQ S) is the net flow of heat stored within a volume that may include the air, trees, buildings and ground. Given the difficulty of measurement of this important and large flux in urban areas, we explore the use of Earth Observation (EO) data. EO surface temperatures are used with ground-based meteorological forcing, urban morphology, land cover and land use information to estimate spatial variations of ΔQ S in urban areas using the Element Surface Temperature Method (ESTM). First, we evaluate ESTM for four "simpler" surfaces. These have good agreement with observed values. ESTM coupled to SUEWS (an urban land surface model) is applied to three European cities (Basel, Heraklion, London), allowing EO data to enhance the exploration of the spatial variability in ΔQ S. The impervious surfaces (paved and buildings) contribute most to ΔQ S. Building wall area seems to explain variation of ΔQ S most consistently. As the paved fraction increases up to 0.4, there is a clear increase in ΔQ S. With a larger paved fraction, the fraction of buildings and wall area is lower which reduces the high values of ΔQ S .

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Section: Introductionmentioning

confidence: 99%

Urban storage heat flux variability explored using satellite, meteorological and geodata

Lindberg

Olofson

Sun

et al. 2020

Theor Appl Climatol

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“…Christchurch [180], Tokyo [96], Marseille [83,181], Essen [100], Houston (TX) [135], Basel [125,138], Helsinki [134], Swindon [117,182], Gongju [91], London [124], Black Rock City (NV) [110], Łódź [101], and Nanjin [142].…”

Section: The Inertial Sublayer (Isl)mentioning

confidence: 99%

Source area definition for local climate zones studies. A systematic review

Peiró

Sánchez

González

2019

Building and Environment

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The correct contextualisation of urban measurements is one of the challenges that urban climate researchers have been dealing with for decades. The Local Climate Zones scheme (LCZs) emerges as a system for characterising these measurements from the thermal perspective. The rapid embracing of the LCZs by researchers from many disciplines, altogether with its adoption for other purposes such as planning, has led to an inexistent or, at its best, flexible use of the source area definition. This practice might call into question the contextualisation of many measurements, highlighting the imperative need to shed light on the source area methods within the urban context. In this study, a systematic review is conducted to compile previous experiences in which the source area was applied in the built environment. Results obtained from the systematic search are summarized and presented according to three scales: the inertial sublayer, the roughness sublayer, and the urban canopy layer. These previous experiences are studied according to their methodological contribution to the source area definition, emphasizing those studies that have considered this concept altogether with the LCZ scheme. This review aims at promoting the knowledge about footprint methodologies and its correct application within the LCZs. LEVEL RELEVANCE DESCRIPTION 1 High Addresses the "source area"/ "footprint" concept within urban areas and the surface layer. 2 Medium Mentions the "source area"/ "footprint" concept within urban areas and the surface layer. 3 Low Mentions the "source area"/ "footprint" concept within homogeneous or rural areas, or above the surface layer. 65 ID Reference Method. Reference 1 City, Country Measurement height [zm] (m) RSL height [zR] (m) zm/zR Context 2 Max. footprint distance [X] (m) Measuring Conditions 3 LCZ mentioned

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Urban Measurements and Their Interpretation

Grimmond

Ward

2021

Springer Handbooks

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Micrometeorology of an ephemeral desert city, the Burning Man experiment

Cited by 7 publications

References 23 publications

Urban storage heat flux variability explored using satellite, meteorological and geodata

Urban storage heat flux variability explored using satellite, meteorological and geodata

Source area definition for local climate zones studies. A systematic review

Urban Measurements and Their Interpretation

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