scholarly journals Integrated method for cities air temperature estimation

2016 ◽  
Author(s):  
Jérémy Bernard ◽  
Marjorie Musy ◽  
Isabelle Calmet ◽  
Erwan Bocher ◽  
Pascal Kéravec
Keyword(s):  
Air Temperature ◽  
Weather Conditions ◽  
Temporal Variations ◽  
Climatic Data ◽  
Integrated Method ◽  
Python Language ◽  
Spatial Differences ◽  
The Difference ◽  
Surrounding Areas ◽  
The City

Urban Heat Island (UHI) is defined as the air temperature difference between the city and its surrounding areas. This phenomenon varies spatially (depending on the type of urban fabric constituting each neighborhood) and temporally (depending on the time of the day, on the season and on the weather conditions). This contribution proposes a methodology to model the UHI spatially and temporally using simple models built with free and open sources softwares (orbisGIS and python language). Ten air temperature sensors have been implemented in several neighborhoods of the Nantes urban area (a west coast french conurbation). The difference of UHI is observed and modeled for each of those sites. Spatial differences are modeled according to geographical indicators characterizing the urban surroundings of each temperature station. Temporal variations are modeled according to weather conditions (such as wind speed, solar radiations, etc.) for different time scales : diurnal and nocturnal differences, daily variations and seasonal variations. The objective is to create a method which may be applied for any city in France. Geographical indicators are then calculated with OrbisGIS software from geographical data which are homogeneous and available at the french territory scale. Wheather conditions are recorded by MeteoFrance stations, which follow the same standard for the measurement of climatic parameters all around France. Climatic data analysis and modeling are performed with Python language using libraries such as Pandas and StatsModels. Modeled established according to the Nantes temperature dataset are verificated according to new air temperature networks implemented in the city of Nantes as well as other cities of west France (Angers, La Roche-sur-Yon).

scholarly journals Integrated method for cities air temperature estimation

2016 ◽  
Author(s):  
Jérémy Bernard ◽  
Marjorie Musy ◽  
Isabelle Calmet ◽  
Erwan Bocher ◽  
Pascal Kéravec
Keyword(s):  
Air Temperature ◽  
Weather Conditions ◽  
Temporal Variations ◽  
Climatic Data ◽  
Integrated Method ◽  
Python Language ◽  
Spatial Differences ◽  
The Difference ◽  
Surrounding Areas ◽  
The City

Urban Heat Island (UHI) is defined as the air temperature difference between the city and its surrounding areas. This phenomenon varies spatially (depending on the type of urban fabric constituting each neighborhood) and temporally (depending on the time of the day, on the season and on the weather conditions). This contribution proposes a methodology to model the UHI spatially and temporally using simple models built with free and open sources softwares (orbisGIS and python language). Ten air temperature sensors have been implemented in several neighborhoods of the Nantes urban area (a west coast french conurbation). The difference of UHI is observed and modeled for each of those sites. Spatial differences are modeled according to geographical indicators characterizing the urban surroundings of each temperature station. Temporal variations are modeled according to weather conditions (such as wind speed, solar radiations, etc.) for different time scales : diurnal and nocturnal differences, daily variations and seasonal variations. The objective is to create a method which may be applied for any city in France. Geographical indicators are then calculated with OrbisGIS software from geographical data which are homogeneous and available at the french territory scale. Wheather conditions are recorded by MeteoFrance stations, which follow the same standard for the measurement of climatic parameters all around France. Climatic data analysis and modeling are performed with Python language using libraries such as Pandas and StatsModels. Modeled established according to the Nantes temperature dataset are verificated according to new air temperature networks implemented in the city of Nantes as well as other cities of west France (Angers, La Roche-sur-Yon).

scholarly journals The Vertical Stratification of Air Temperature in the Center of Athens

2010 ◽  
Vol 49 (6) ◽  
pp. 1219-1232 ◽  
Author(s):  
C. Georgakis ◽  
M. Santamouris ◽  
G. Kaisarlis
Keyword(s):  
Air Temperature ◽  
Open Space ◽  
Ground Level ◽  
Weather Conditions ◽  
Threshold Value ◽  
Critical Threshold ◽  
Aspect Ratios ◽  
Urban Geometry ◽  
Urban Rural ◽  
The Difference

Abstract The intraurban temperature variation in the center of Athens, Greece, was investigated in relation to urban geometry. This paper describes two main tasks: 1) Air temperature was recorded in the center of Athens and at the Meteorological Service Station at the University of Athens. Experimental data were collected through extensive monitoring at four different heights inside five different urban canyons in the center of Athens during the summer period. A measurement uncertainty analysis was carried out to estimate critical threshold values of air temperature below which differences were not significant. 2) The correlation between urban–suburban air temperature differences was assessed, using the geometrical characteristics of each urban street canyon. Urban–rural air temperature differences were considered to be not important if they were below the threshold value of 0.3°C. It was concluded that the major factor controlling urban–suburban air temperature differences was the geometry of the urban area. Other factors were the orientation of the observational sites, the current weather conditions, and the inversion of air masses adjacent to the ground level. An increase in the value of aspect ratios leads to a decrease in the difference between air inside the canyons and at the suburban station. The air temperature profile in an open-space area was the most important defining factor for the stratification of the urban–rural air temperature differences.

scholarly journals The Role of Vegetation in Reducing Anthropogenic CO2 in Bogor City

Agromet ◽  
2018 ◽  
Vol 32 (1) ◽  
pp. 42
Author(s):  
Ariesta Kusuma Wardhani ◽  
Bregas Budianto ◽  
Yon Sugiarto
Keyword(s):  
Air Temperature ◽  
Anthropogenic Activities ◽  
Daily Basis ◽  
Fuel Combustion ◽  
Photosynthesis Rate ◽  
Anova Test ◽  
The Difference ◽  
The City ◽  
One Way Anova

Vegetation has a role in reducing CO<sub>2</sub> from anthropogenic activities through photosynthesis. Fuel combustion is one of the activities that greatly contribute to CO<sub>2</sub> emissions. As a city with many destinations, the possibility of CO<sub>2</sub> emissions will increase in Bogor especially on holidays because of motorized vehicle from other cities. This research aims to determine the absorption capability of vegetation in Bogor City in reducing CO<sub>2</sub> emitted from fuel combustion. We analyzed CO<sub>2</sub> data for 2017 by day to obtain traffic levels in the city assuming that people mobility using vehicle was influenced by day. Then we separated CO<sub>2</sub> data into slow and fast photosynthesis rate based on air temperature. We determined the absorption capability of vegetation at daily basis by calculating the difference between the min and the max of CO<sub>2 </sub>concentration divided by the min of CO<sub>2</sub>. Our results showed that the lowest CO<sub>2</sub> level was in Sunday. On that day, the average air temperatur was high indicating the less CO<sub>2</sub> concentration. Our one-way Anova test confirmed this finding. The finding revealed that the absorption capability of vegetation to reduce anthropogenic CO<sub>2</sub> was still limited. To implement Bogor as green city, more vegetations and gardens are needed to balance an increased CO<sub>2</sub>.

scholarly journals Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Krishna Prasad Vadrevu ◽  
Aditya Eaturu ◽  
Sumalika Biswas ◽  
Kristofer Lasko ◽  
Saroj Sahu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Temporal Analysis ◽  
Temporal Variations ◽  
Northeast India ◽  
New Delhi ◽  
City Center ◽  
Coastal Cities ◽  
Vegetation Fires ◽  
Spatial Differences ◽  
The City

Abstract In this study, we characterize the impacts of COVID-19 on air pollution using NO2 and Aerosol Optical Depth (AOD) from TROPOMI and MODIS satellite datasets for 41 cities in India. Specifically, our results suggested a 13% NO2 reduction during the lockdown (March 25–May 3rd, 2020) compared to the pre-lockdown (January 1st–March 24th, 2020) period. Also, a 19% reduction in NO2 was observed during the 2020-lockdown as compared to the same period during 2019. The top cities where NO2 reduction occurred were New Delhi (61.74%), Delhi (60.37%), Bangalore (48.25%), Ahmedabad (46.20%), Nagpur (46.13%), Gandhinagar (45.64) and Mumbai (43.08%) with less reduction in coastal cities. The temporal analysis revealed a progressive decrease in NO2 for all seven cities during the 2020 lockdown period. Results also suggested spatial differences, i.e., as the distance from the city center increased, the NO2 levels decreased exponentially. In contrast, to the decreased NO2 observed for most of the cities, we observed an increase in NO2 for cities in Northeast India during the 2020 lockdown period and attribute it to vegetation fires. The NO2 temporal patterns matched the AOD signal; however, the correlations were poor. Overall, our results highlight COVID-19 impacts on NO2, and the results can inform pollution mitigation efforts across different cities of India.

The Meteorological Impact to the Air Temperature on a Sub-Tropical City

2014 ◽  
Vol 905 ◽  
pp. 374-378
Author(s):  
Chih Hong Huang ◽  
John Cua Aganda
Keyword(s):  
Air Temperature ◽  
Minimum Temperature ◽  
Wave Radiation ◽  
Urban Air ◽  
Temperature Pattern ◽  
Long Wave ◽  
The Difference ◽  
Meteorological Impact ◽  
The City ◽  
Long Wave Radiation

This study will center on the meteorological impact of clouds and its influence to the urban air temperature. Quantitative assessment over the behavior and temperature pattern was done using a five-year data of meteorological parameters obtain from the local weather and climate bureau. Urban heat island (UHI) is defined as the increased air temperature of the city over its surrounding sub-urban and rural areas and in this case of a five-year summer period of Taipei, Taiwan were heat temperatures are higher and can go beyond 39°C, acting dominant meteorological cloud cover factor is observe for its effect in temperature pattern. Analysis of local heat characteristics suggests the possibility of the believed theory Urban-scaled greenhouse effect that maybe affecting the patterns of the urban air temperature. An urban-scaled greenhouse effect is a theory that implies; when dense cloud covers the city, most of the supposed released long wave radiation or heat energy is trapped and reflected back by the dense clouds, creating a body of conserved heat that is prolonged in the area. The duration of conserved heat (DCH) is measured by the difference of the diurnal maximum and minimum temperature. To assess the value of the theory the daily cloud amount (CA) and its relationship with the DCH was tested with regression analysis. Calm days with the complete cycle of maximum and minimum temperature accordingly were selected and tested. The five-year average (2008 – 2012) resulted in a regression value of R2 = 0.072. Although the years 2011 & 2012 showed a higher regression value of R2 = 0.265 and R2 = 0.104 respectively, certainly enough the data of years 2011 and 2012 revealed a higher ratio of days with less combination of high wind speed and rainfall which created less fluctuations. Trend pattern for the five summers showed similarities. Some days showed fluctuation but no negative trend of correlation was detected. The heat intensity (HI) is another type of temperature pattern that was observed against CA and DCH, it is characterized by the difference of maximum and minimum diurnal temperature. Suggestive with our analysis, all five-year summertime data of HI showed negative correlation with the CA and DCH, attesting a faster release of long wave radiation when clouds are less.

scholarly journals Mid-afternoon Outdoor Biometeorological Conditions in a Hot-humid Climate of Minna in Nigeria, West Africa during the Year 2012

2021 ◽  
pp. 52-62
Author(s):  
Christian A. Njoku ◽  
Ikenna Orisakwe ◽  
Vincent N. Ojeh
Keyword(s):  
Correlation Coefficient ◽  
Air Temperature ◽  
Humid Climate ◽  
North Central ◽  
The Difference ◽  
Definition Of ◽  
Reference Environment ◽  
Hot Humid Climate ◽  
The City ◽  
Rayman Model

The human biometeorological conditions at mid-afternoon during 12 months of 2012 in the city of Minna North-Central Nigeria have been evaluated based on energy budget indices (UTCI and PET) using climate parameters -air temperature, relative humidity, wind speed and solar radiation) observed at 15:00LST as input into the Rayman model. Air temperature demonstrated strongest significant correlation coefficient (r) with UTCI and PET (r= 0.91, r= 0.93) (P<0.0001) while windspeed show weakest association with them(r=-0.10, r=-0.20) (P<0.03, P<0.001) respectively. March and August were characterized by peak and slightest monthly thermal stress conditions according to both indices. The correlation coefficient between both indices was significantly (P<0.0001) very strong (r=0.98) and more noticeable for equivalent temperatures in strong stress thresholds (UTCI>=32°C, PET>=35°C), which shows that both indices can be used indifferently in warm climates. However, during May to October, UTCI better expressed warm conditions than PET mainly due to the difference in the definition of reference environment for both indices; this study is relevant to the urban sightseeing industry as tourists would most likely opt for a period of lesser thermal discomfort.

scholarly journals Local Weather Conditions Create Structural Differences between Shallow Firn Columns at Summit, Greenland and WAIS Divide, Antarctica

Atmosphere ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1370
Author(s):  
Ian E. McDowell ◽  
Mary R. Albert ◽  
Stephanie A. Lieblappen ◽  
Kaitlin M. Keegan
Keyword(s):  
Air Temperature ◽  
Accumulation Rate ◽  
Weather Conditions ◽  
Depth Range ◽  
Climate Conditions ◽  
Wind Speeds ◽  
Variable Surface ◽  
The Difference ◽  
Paleoclimate Records ◽  
Local Weather

Understanding how physical characteristics of polar firn vary with depth assists in interpreting paleoclimate records and predicting meltwater infiltration and storage in the firn column. Spatial heterogeneities in firn structure arise from variable surface climate conditions that create differences in firn grain growth and packing arrangements. Commonly, estimates of how these properties change with depth are made by modeling profiles using long-term estimates of air temperature and accumulation rate. Here, we compare surface meteorology and firn density and permeability in the depth range of 3.5–11 m of the firn column from cores collected at Summit, Greenland and WAIS Divide, Antarctica, two sites with the same average accumulation rate and mean annual air temperature. We show that firn at WAIS Divide is consistently denser than firn at Summit. However, the difference in bulk permeability of the two profiles is less statistically significant. We argue that differences in local weather conditions, such as mean summer temperatures, daily temperature variations, and yearly wind speeds, create the density discrepancies. Our results are consistent with previous results showing density is not a good indicator of firn permeability within the shallow firn column. Future modeling efforts should account for these weather variables when estimating firn structure with depth.

scholarly journals Moisture content of cereals at harvesting time by comparing microclimate values and standard weather data

1993 ◽  
Vol 41 (3) ◽  
pp. 167-178
Author(s):  
A.J. Atzema
Keyword(s):  
Moisture Content ◽  
Surface Temperature ◽  
Air Temperature ◽  
Weather Conditions ◽  
Dew Point ◽  
Weather Data ◽  
Daily Cycle ◽  
The Difference ◽  
High Equilibrium ◽  
Screen House

The moisture content of wheat and barley together with the weather elements were measured at 3 different experimental sites in the Netherlands in 1990-91. The difference in the dew point temperature in the screen[house] and in the field was small. However, the differences between air temperature in the screen and those at different heights in wheat and in barley stands were considerable. In daytime the surface temperature of barley was higher than that of wheat under the same weather conditions as a result of a higher absorbtion coefficient. Both for wheat and barley, the maximum difference between the calculated moisture content was 0.5%, using the air temperature at 1.5 m height from the nearest standard weather station and the surface temperature of the spikes. Barley had a greater daily cycle in the moisture content of the grains than wheat as a result of a high equilibrium moisture content during the night and a low one in daytime.

scholarly journals Effect of the height of the greenhouse on the plant - climate relationship as a development parameter in mint (Mentha Spicata) crops in Colombia

2016 ◽  
Vol 36 (2) ◽  
pp. 6
Author(s):  
Nelson Bustamante Valencia ◽  
John Fabio Acuña Caita ◽  
Diego Luis Valera Martínez
Keyword(s):  
Crop Production ◽  
Crop Yields ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Mentha Spicata ◽  
Climatic Variations ◽  
Humidity Measurements ◽  
The Difference ◽  
The City ◽  
The Town

The aim of the study is to evaluate the effect of the height of the greenhouse on climatic conditions generated on a mint crop (Mentha spicata). The tests were conducted in the town of Carmen de Viboral, 40 minutes away from the city of Medellin (6º 05’ 09” N and 75º 20’ 19” W, 2150 m.a.s.l.). Three greenhouses with the same dimensions were used, changing only the gutter height in 2 m, 2,5 m and 3 m respectively. Temperature and relative humidity measurements were taken every 30 minutes for 3 years, time during which crop production was assessed. Statistical analyses were performed to determine climatic variations caused by the difference in height between the greenhouses, and to determine differences in production levels. The results indicate that, under the study conditions, the greenhouse height directly affects the weather conditions and the mint crop yields.

scholarly journals Estimation of anthropogenic impact on lightning activity over urbanized areas of Northeast Asia

2019 ◽  
Vol 127 ◽  
pp. 01002
Author(s):  
Lena Tarabukina ◽  
Dmitriy Innokentiev
Keyword(s):  
Eastern China ◽  
Russian Far East ◽  
Far East ◽  
Northeast Asia ◽  
Temporal Variations ◽  
Lightning Activity ◽  
Large Cities ◽  
The North ◽  
Surrounding Areas ◽  
The City

The anthropogenic influence on lightning activity is revealed by an increase in the density of lightning stroke in the places with accumulation of artificial products in air and by an additional period of one week in temporal variations. In this study, a comparative analysis of the density of lightning strokes within the city (with a resolution of 0.25 degrees along longitude-latitude) and the surrounding areas (up to 0.5 degrees around the city center cell). The observations were carried out using the World Wide Lightning network (WWLLN), one of the sensors of which was installed in Yakutsk in 2009. We selected cities within the territory of 60-180E, 40-80N. Selected cities in Siberia and Russian Far East have a population of more than 50 thousand – 57 cities. Due to the high population density in the North-Eastern China, we selected only large cities with a metropolitan population of more than 400 thousand people – 26 cities. The urban effect could be revealed in about 20% of cities. The 4-, 7-, 25-day period was found in variations of lightning number around cities.

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