Temporal variability of the Buenos Aires, Argentina, urban heat island

Camilloni, Inés Angela; Barrucand, Mariana

doi:10.1007/s00704-011-0459-z

Cited by 60 publications

(34 citation statements)

References 26 publications

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“…According to other studies (e.g. Oke 1987;Hage 1972;Camilloni and Barrucand 2012;Erell andWilliamson 2007, Holmer et al 2007;Linden 2011;Bohnenstengel et al 2011), maximum UHI intensity is observed around 3-5 h after sunset although there are also studies which show that the maximum intensity can be observed just before sunrise (e.g. Jauregui et al 1992;Fortuniak and Kłysik 1998).…”

Section: Measurement Datamentioning

confidence: 89%

Influence of diversified relief on the urban heat island in the city of Kraków, Poland

Bokwa

Hajto

Walawender

et al. 2015

Theor Appl Climatol

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In cities located in concave landforms, urban heat island (UHI) is an element of a complicated thermal structure and occurs due to the common impact of urban built-up areas and orography-induced processes like katabatic flows or air temperature inversions. Kraków, Poland (760,000 inhabitants) is located in a large valley of the river Vistula. In the years 2009-2013, air temperature was measured with the 5-min sampling resolution at 21 urban and rural points, located in various landforms. Cluster analysis was used to process data for the night-time. Sodar and synoptic data analysis provided results included in the definition of the four types of nighttime thermal structure representing the highest and the lowest spatial air temperature variability and two transitional types. In all the types, there are three permanent elements which show the formation of the inversion layer, the cold air reservoir and the UHI peak zone. As the impact of land use and relief on air temperature cannot be separated, a concept of relief-modified UHI (RMUHI) was proposed as an alternative to the traditional UHI approach. It consists of two steps: (1) recognition of the areal thermal structure taking into consideration the city centre as a reference point and (2) calculation of RMUHI intensity separately for each vertical zone.

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Section: Measurement Datamentioning

confidence: 89%

Influence of diversified relief on the urban heat island in the city of Kraków, Poland

Bokwa

Hajto

Walawender

et al. 2015

Theor Appl Climatol

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“…The UHI effect is mainly a night time warming effect. This is generally acknowledged by some studies that also refer to the cooling effects, which are also called an 'inverse' UHI, that the UHI may represent during the day (i.e., UHI < 0 • C) [58][59][60]. This is particularly true for summer, which is the season considered here to study HWs.…”

Section: The Urban Heat Island and Heat Wavesmentioning

confidence: 91%

A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon

et al. 2020

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Heat waves are large-scale atmospheric phenomena that may cause heat stress in ecosystems and socio-economic activities. In cities, morbidity and mortality may increase during a heat wave, overloading health and emergency services. In the face of climate change and associated warming, cities need to adapt and mitigate the effects of heat waves. This study suggests a new method to evaluate heat waves' impacts on cities by considering some aspects of heat waves that are not usually considered in other similar studies. The method devises heat wave quantities that are easy to calculate; it is relevant to assessing their impacts and permits the development of adaptation measures. This study applies the suggested method to quantify various aspects of heat waves in Lisbon for future climate projections considering future mid-term (2046-2065) and long-term (2081-2100) climates under the RCP8.5 greenhouse emission scenario. This is achieved through the analysis of various regional climate simulations performed with the WRF model and an ensemble of EURO-CORDEX models. This allows an estimation of uncertainty and confidence of the projections. To evaluate the climate change properties of heat waves, statistics for future climates are compared to those for a reference recent climate. Simulated temperatures are first bias corrected to minimize the model systematic errors relative to observations. The temperature for mid and long-term futures is expected to increase relative to the present by 1.6 • C and 3.6 • C, respectively, with late summer months registering the highest increases. The number of heat wave days per year will increase on average from 10, in the present climate, to 38 and 63 in mid and long-term climates, respectively. Heat wave duration, intensity, average maximum temperature, and accumulated temperature during a heat wave will also increase. Heat waves account for an annual average of accumulated temperature of 358 • C·day in the present climate, while in the mid and long-term, future climates account for 1270 • C·day and 2078 • C·day, respectively. The largest increases are expected to occur from July to October. Extreme intensity and long-duration heat waves with an average maximum temperature of more than 40 • C are expected to occur in the future climates.weather events such as storms and tornados. However, HW may negatively affect, for example, agriculture, forest fires, power supply for cooling, animal and human morbidity, and mortality, particularly of vulnerable people.HW are a synoptic scale weather phenomena that impact large regions, countries, and even great parts of a continent. Their effects may be locally amplified by various factors such as the type of land coverage, altitude, slope orientation of orography, and proximity to water bodies. In medium to large cities, HW may be strongly amplified by the nature of predominant materials in what is known as the urban heat island effect [2].Many HW studies have been published with a vast range of objectives, such as for example to evaluate the HW sp...

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“…When considering the longitudinal effect, the years when AH has a most eastwards shift in spring (Figure 4a 1986, 1990, 1992, 1995, 1996, 1998, 2000, 2001, 2006, 2007, 2011, 2012 1979, 1981, 1982,1984, 1985, 1993, 1994, 1997, 2002, 2003, 2009 AALAT −0.569 0.481 1979, 1981, 1984, 1989, 1991, 1993, 1994, 1995, 2003, 2005, 2008, 2009, 20111980, 1982, 1985, 1986, 1988, 1990, 1997, 1998, 1999, 2000, 2001, 2004, 2006, 2007, 2010AALON −0.289 0.529 1979, 1980, 1982, 1985, 1987, 1989, 1991, 1993, 1997, 2002, 2004, 2006, 2008, 20091981, 1983, 1986, 1992, 1994, 1996, 2000, 2003, 2007, 2010…”

Section: Springmentioning

confidence: 99%

The influence of Atlantic High on seasonal rainfall in Argentina

Garbarini

González

Rolla

2019

Intl Journal of Climatology

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The objective of this work is to quantify the influence of the position and intensity of the Atlantic High (AH) on seasonal rainfall in Argentina. Monthly precipitation data in 68 stations from the National Meteorological Service of Argentina, the Secretariat of Water Resource and the Territorial Authority of the Limay, Neuquén, and Negro rivers basins (AIC) were used. Correlation was the methodology used to identify the link between seasonal rainfall and some indices especially defined to detect the position and intensity of the anticyclone. Precipitation composites of the years when the value of these indices was extremely high (greater than their second tercile) and extremely low (lower than their first tercile) were built for every season. They were analysed and compared with humidity anomaly transport composites for the same sets of years in order to study circulation patterns associated with seasonal rainfall anomalies. Results indicate that when the AH is intensified, winter rainfall increases in central Argentina and spring rainfall increases in northern Cuyo region. When the AH is displaced towards the north of its mean position, autumn rainfall is favoured in the northeast and central and south Patagonia, meanwhile winter and spring rainfall decreases in central Argentina. When the AH is displaced towards the east of its mean position, summer rainfall decreases in central Andes. Finally, AH indices were used to detect the influence on rainfall in advance. Correlations between seasonal rainfall and the defined indices that characterize the anticyclone in the previous month suggest that there is some rainfall predictability, especially during spring in almost every region in Argentina.

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Temporal variability of the Buenos Aires, Argentina, urban heat island

Cited by 60 publications

References 26 publications

Influence of diversified relief on the urban heat island in the city of Kraków, Poland

Influence of diversified relief on the urban heat island in the city of Kraków, Poland

A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon

The influence of Atlantic High on seasonal rainfall in Argentina

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