Meteorological simulations with use of satellite data for assessing urban heat island under summertime anticyclonic conditions

Nitis, Theodoros; Klaić, Zvjezdana Bencetić; Kitsiou, Dimitra; Moussiopoulos, Ν.

doi:10.1504/ijep.2010.030888

Cited by 7 publications

(8 citation statements)

References 16 publications

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“…Strong winds will also significantly weaken or cancel out the UHI (Schlünzen et al , ). The geographic location of a city (and the corresponding regional climate, characteristics of the rural surroundings and the influences of local topography) is clearly a controlling factor of the UHI intensity (Nitis et al , ). It can also be seen that characteristics such as city structure, building compactness, sky view factor, the percentage of artificial surfaces and vegetation fraction in the city are important factors in controlling the UHI development (Oke, ).…”

Section: Introductionmentioning

confidence: 99%

Modelling the impact of urbanisation on regional climate in the Greater London Area

Grawe

Thompson

Salmond

et al. 2012

Intl Journal of Climatology

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Urban areas have well-documented effects on climate, such as the urban heat island (UHI) effect, reduction of wind speeds, enhanced turbulence and boundary layer heights, and changes in cloud cover and precipitation. The aim of this study is to quantify the impact of the urban area of London on local and regional climate. This is achieved through the coupling of the non-hydrostatic mesoscale model METRAS with the sophisticated urban canopy scheme BEP. The model is configured for case studies of the London region, for typical UHI conditions, and the model results are evaluated using data from meteorological monitoring sites. This study develops a methodology to quantify the regional impact of urbanisation from numerical model results. The urban area, in its current form, is found to affect near surface temperature, the diurnal temperature range, the UHI, and the near surface wind speed and direction. For the selected cases, peak UHI intensities of up to 2.5 K are found during night time hours, with the timing and magnitude of the peak showing good agreement with previous experimental studies for London. The timing of the UHI peak intensity for the current urban land cover for London shows a good agreement with the results of measurements. A significant reduction in wind speed over the urban area was also simulated during both daytime and night time, due to the higher roughness of the city compared to the rural domain. The effect is shown to have a regional character, with both urban and surrounding rural areas demonstrating a significant impact. Thus, the UHI can not only be understood when focussing on local data, but the interaction with the surrounding needs to be considered.

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Section: Introductionmentioning

confidence: 99%

Modelling the impact of urbanisation on regional climate in the Greater London Area

Grawe

Thompson

Salmond

et al. 2012

Intl Journal of Climatology

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“…The observed trend in heat load can be attributed to regional climate warming, but also to urbanization and the associated UHI effect. The UHI formation in Zagreb is controlled by the city's topography (Nitis et al 2010) and morphology resulting in intense summertime land surface temperatures (Kovacic 2014). Atmospheric circulation (particularly upslope and downslope wind patterns forming at the slopes of the nearby mountain Medvednica during the summer anticyclonic conditions) can alter thermal stress and air quality in urban areas (Klaic et al 2002).…”

Section: Cwsmentioning

confidence: 99%

Analysis of Heat Waves and Urban Heat Island Effects in Central European Cities and Implications for Urban Planning

2020

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DisclaimerThis document is the product of work performed by World Bank staff and consultants. The findings, interpretations, and conclusions expressed in this document do not necessarily reflect the views of the Executive Directors of the World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denomination, and other information shown in any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.

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“…From the 193th to 209th day in 2007, multiple storm events quickly cooled down LST followed by a continuous increase of LST that might be the cause that triggered the major storm event in Aug. 2007. Overall, using high-resolution daily satellite imagery and measurements of the optical and thermal properties combined with local micrometeorological models may become a good tool in the future to understand cooling and heating regions leading to reveal internal relationships between atmospheric heat islands and urban surface characteristics [9] [27].…”

Section: Possible Connections Between Uhi and Urban Storm Eventsmentioning

confidence: 99%

“…It is known that flow distortion, topography, and roughness effect can result in differences between urban air temperature and LST [8]. The UHI is actually a phenomena linked with the urban air temperature directly [9]. Meteorological simulations with use of satellite data for assessing urban heat island under summertime anticyclonic conditions was considered to account for local disparity between LST and urban air temperature [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

“…The UHI is actually a phenomena linked with the urban air temperature directly [9]. Meteorological simulations with use of satellite data for assessing urban heat island under summertime anticyclonic conditions was considered to account for local disparity between LST and urban air temperature [9]- [11]. LST derived from LANDSAT and AVHRR thermal bands were used for the UHI studies [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

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Assessing the long-term urban heat island in San Antonio, Texas based on moderate resolution imaging spectroradiometer/Aqua data

Xie

Chang

Daranpob

et al. 2010

J. Appl. Remote Sens

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Urban environmental conditions are strongly dependent on the land use and land cover properties. Urban and rural areas normally exhibit obvious difference in land surface temperature (LST). The Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua (PM satellite) MYD11A1 temperature products (daily and 1 km spatial resolution) for the period from June 1 to September 30 between 2002 and 2008 were used to screen the existence of urban heat island (UHI) phenomena for the city of San Antonio, TX. 8-day MYD11A2 temperature products between 2002 and 2008 were also retrieved to map the temperature climatology at the 1:30 a.m. for the region. The UHI effect was detected in both satellite surface-temperature and meteorological station air-temperature record. The existence of an UHI of the San Antonio downtown area was clearly shown in about 90% of the available cloud-free (or cloudless) data from June 1-September 30 each year. It is especially prevalent in the night-time imagery due to less cloud contamination. During nighttime, the heat island (HI) is about 4-5 °K (6-8 °F) higher than the average temperature of the study area and 6-7 °K (8-12 °F) higher than the rural area. Surprisingly, the HI phenomenon is found not only in the downtown area, but also several other small areas in the northern corner. Finally, the long-term UHI effect of San Antonio and its relationship with normalized difference vegetation index (NDVI) were discussed. USGS rainfall data were also used to discuss the possible connections between the UHI and several local storm events.

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Meteorological simulations with use of satellite data for assessing urban heat island under summertime anticyclonic conditions

Cited by 7 publications

References 16 publications

Modelling the impact of urbanisation on regional climate in the Greater London Area

Modelling the impact of urbanisation on regional climate in the Greater London Area

Analysis of Heat Waves and Urban Heat Island Effects in Central European Cities and Implications for Urban Planning

Assessing the long-term urban heat island in San Antonio, Texas based on moderate resolution imaging spectroradiometer/Aqua data

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