scholarly journals DEFINITION OF LOCAL CLIMATE ZONES IN RELATION TO ENVI-MET AND SITE DATA IN THE CITY OF AL AIN, UAE

2019 ◽  
Author(s):  
LINDITA BANDE ◽  
PRAJOWAL MANADHAR ◽  
PRAHSANTH MARPU
Keyword(s):  
Climate Zones ◽  
Local Climate ◽  
Al Ain ◽  
Local Climate Zones ◽  
Definition Of ◽  
The City

scholarly journals Characterization of Local Climate Zones Using ENVI-met and Site Data in the City of Al-Ain, UAE

2020 ◽  
Vol 15 (5) ◽  
pp. 751-760
Author(s):  
Lindita Bande ◽  
Prajowal Manandhar ◽  
Raghad Ghazal ◽  
Prashanth Marpu
Keyword(s):  
Climate Zones ◽  
Local Climate ◽  
Al Ain ◽  
Local Climate Zones ◽  
The City

scholarly journals Local Climate Zones Definition in Relation to ENVI-met in the City of Dubai, UAE.

2020 ◽  
Vol 829 ◽  
pp. 012013
Author(s):  
Lindita Bande ◽  
Prajowal Manandhar ◽  
Prashanth Marpu ◽  
Mohammad Al Battah
Keyword(s):  
Climate Zones ◽  
Local Climate ◽  
Local Climate Zones ◽  
The City

scholarly journals A Study of Local Climate Zones in Abu Dhabi with Urban Weather Stations and Numerical Simulations

2019 ◽  
Vol 12 (1) ◽  
pp. 156 ◽  
Author(s):  
Prajowal Manandhar ◽  
Lindita Bande ◽  
Alexandros Tsoupos ◽  
Prashanth Reddy Marpu ◽  
Peter Armstrong
Keyword(s):  
Numerical Simulations ◽  
Abu Dhabi ◽  
Thermal Dynamics ◽  
Climate Zones ◽  
Local Climate ◽  
Heat Flows ◽  
Local Climate Zones ◽  
Urban Heat ◽  
Landsat Satellite ◽  
The City

In many cities that have experienced rapid growth like Abu Dhabi, urban microclimate scenarios evolve rapidly as well and it is important to study the urban thermal dynamics continuously. The Local Climate Zone (LCZ) classification considers factors related to the physical properties like surface cover and surface structure of the city which allow to analyze urban heat flows. Abu Dhabi city is rapidly expanding and is characterized by highly heterogeneous types of built forms that comprise mainly of old mid-rise and modern high-rise buildings with varied degrees of vegetation cover in different parts of the city. The fact that it is a coastal city in a desert environment makes it quite unique. This paper presents an approach of studying urban heat flows in such heterogeneous setup. First, the city is classified into local climate zones using images acquired by Landsat Satellite. Numerical simulations are performed in the designated LCZs using a computational fluid dynamics software, Envi-met. The results of Envi-met are calibrated and validated using in-situ measurements across all four seasons. The calibrated models are then applied to study entire Abu Dhabi island across different seasons. The results indicate a clear presence of urban heat island (UHI) effect when averaged over the full day which is varying in different zones. The zones with high vegetation do not show large average UHI effect whereas the effect is significant in densely built zones. The study also validates previous observations on the inversion of UHI effect during the day and in terms of diurnal response.

Comparison of urban climate measurements in Berlin and LES model output for a special observation period

2021 ◽  
Author(s):  
Ines langer ◽  
Alexander Pasternack ◽  
Uwe Ulbrich ◽  
Henning Rust
Keyword(s):  
Mean Square Error ◽  
Urban Climate ◽  
Specific Humidity ◽  
Mean Square ◽  
Climate Zones ◽  
Local Climate ◽  
Large Eddy Simulation Model ◽  
Local Climate Zones ◽  
The City ◽  
Observation Period

<p>Surface (2 m) temperature and specific humidity data are measured at 5-minute intervals in a network comprising 33 stations distributed across the city of Berlin, Germany. These data are utilized in order to validate a LES (large eddy simulation) model designed to assess the local climate at a very high resolution of 10 m to 1 m. This model, was developed at the ​Institute of Meteorology and Climatology (IMUK) of the Leibniz Universität Hannover, Germany, and is developed into an application tool for city planners within the funding programme "[UC²] - Urban Climate under Change", of the German Federal Ministry of Education and Research (BMBF).</p><p>The evaluation distinguishes between the different Local climate zones (LCZ) in the city, which are defined following the concept of Stewart & Oke (2012). For Berlin, the following LCZ have been identified: 2 (compact midrise), 4 (open high-rise), 6 (open low-rise), 8 (large low-rise), A (dense trees), B (scattered trees), D (low Plants), G (water).</p><p>We analyzed one cold winter day during an intensive observation period from 06 UTC on 17<sup>th</sup> January to 06 UTC on 18<sup>th</sup> January, 2017. The minimum and maximum recorded temperatures were -8.1 °C and +2 °C, respectively, the sun shine duration was 6.5 hours. Daily and hourly mean absolute error, mean square error and root mean square error confirm that the deviation between measurements and the PALM-4U model differs between the LCZ for Berlin, with particularly large negative deviations of up to 5 K in forest areas, as they are not yet well represented in the model. Smallest deviations are found for the industrial zone. In all cases, the observed amplitude of the diurnal cycle is underestimated. The role of the driving model for the deviations found is addressed.</p><p>Stewart, I.D., Oke, T.R. (2012) Local climate zones for urban temperature studies. Bull. Amer. Meteor. Soc. 93 1879-1900. DOI: 10.1175/BAMS-D-11-00019.1.</p><p> </p>

scholarly journals Classifying urban meteorological stations sites by 'local climate zones': Preliminary results for the city of Novi Sad (Serbia)

2013 ◽  
Vol 17 (3) ◽  
pp. 60-68 ◽  
Author(s):  
Stevan Savic ◽  
Dragan Milosevic ◽  
Lazar Lazic ◽  
Vladimir Markovic ◽  
Daniela Arsenovic ◽  
...  
Keyword(s):  
Climate Zones ◽  
Local Climate ◽  
Preliminary Results ◽  
Local Climate Zones ◽  
Novi Sad ◽  
The City

Human thermal comfort in Local climate zones of Berlin

2020 ◽  
Author(s):  
Ines Langer ◽  
Alexander Pasternack ◽  
Uwe Ulbrich
Keyword(s):  
Thermal Comfort ◽  
Urban Heat Island ◽  
Urban Areas ◽  
Heat Island ◽  
Climate Zones ◽  
Local Climate ◽  
Human Thermal Comfort ◽  
Local Climate Zones ◽  
Urban Heat ◽  
The City

<p>Urban areas show higher nocturnal temperature comparing to rural areas, which is denoted by urban heat island. This effect can intensify the impact of global warming in urban areas especially during heat waves, that leads to higher energy demand for cooling the building and higher thermal stress for residents.  </p><p>The aim of this study is to identify the Urban Heat Island (UHI) effect during the heat spell 2018 and 2019 in order to calculated human thermal comfort for Berlin. Berlin, the capital city of Germany covers an area of 892km<sup>2</sup> and its population is growing, therefore more residential areas will be planned in future through higher building. The methodology of this research is to divide Berlin into Local Climate Zones (LCZ's) regarding the concept of Stewart & Oke (2012). Then to evaluate the accuracy of this concept using 30 microclimate stations. Estimating the magnitude of urban heat island and its seasonal changes in combination with human thermal perception in different LCZ during summer time is another objective of this research. </p><p>Ten LCZ's for Berlin were selected, as class 1 (compact high rise), class 3 (compact low rise), class 7 (lightweight low-rise), class C (bush, scrub), class E (bare rock or paved) and class F (bare soil or sand) don't exist in Berlin. Class A (dense trees) is with a fraction of 18.6% in a good agreement with the percentage of dense trees reported from the city administration of Berlin (18.4%), class G (water) has a coverage of 5.1% through our classification instead of 6.7% reported by the city administration. In summary, the LCZ 1-10 cover 59.3% (more than half) of the city area.</p><p>Regarding temperature measurements, which represent a hot summer day with calm wind and clear sky the difference of Local Climate Zones will be calculated and the temperature variability in every LCZ's regarding sky view factor values show the hot spot of the city.</p><p>The vulnerability of LCZ's to heat stress will be ranked and discussed regarding ventilation and other factors.</p><p> </p><p>Literature</p><p>Matzarakis, A. Mayer, H., Iziomon, M. (1999) Applications of a universal thermal index: Physiological equivalent temperature: Intern. J. of Biomet 43 (2), 76-84.</p><p>Stewart, I.D., Oke, T.R. (2012) Local climate zones for urban temperature studies. Bull. Amer. Meteor. Soc. 93 1879-1900. DOI: 10.1175/BAMS-D-11-00019.1.</p><p> </p>

Thermal properties based on air temperature observations in different local climate zones in Bogotá, Colombia

2020 ◽  
Vol 82 ◽  
pp. 15-31
Author(s):  
EA Ramírez-Aguilar ◽  
LCL Souza
Keyword(s):  
Thermal Properties ◽  
Air Temperature ◽  
Thermal Sensation ◽  
Urban Morphology ◽  
Early Application ◽  
Climate Zones ◽  
Local Climate ◽  
Local Climate Zones ◽  
Temperature Observations ◽  
The City

This paper demonstrates an early application of local climate zones (LCZs) in the city of Bogotá, Colombia. The main goal was to assess the thermal properties within the areas of influence (sectors) of 10 meteorological stations in the city, classified into the LCZ scheme. Air temperature observations at 07:00, 13:00 and 19:00 h (T7:00, T13:00 and T19:00) and daily measurements were obtained from the stations, and the maximum (Tmax), minimum (Tmin) and mean (Tmean) values were calculated. Their distribution and variation were analyzed, thermal sensation categories were calculated, and the thermal differences (ΔTLCZX-LCZD) between open-compact LCZ types and LCZD (typical rural type with low plants) were obtained in order to identify patterns between the stations and their assigned LCZs. Furthermore, we compared urban morphology (form) parameters to the ranges proposed in the literature to classify LCZs. The results clearly showed variations and patterns between the stations and their assigned LCZs when using Tmin, T7:00 and T19:00 air temperature data and the indices and categories calculated from these. Values of ΔTLCZX-LCZD > 5°C were found in the densely urbanised LCZ at night, and some negative values at noon suggested the presence of an urban cool island. The results show the usefulness of LCZs in understanding differences and temperature variations between divergent urban sectors. However, when different LCZ types are grouped, the thermal differences between them can be better appreciated and explained. The main conclusion is that the urban surface of Bogotá does not generate high temperatures, but decreases the occurrences of low values in Tmin, Tmean, T19:00 and T7:00.

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