Analysis of Long-Term Temperature Trend as an Urban Climate Change Indicator

Subarna, Dadang

doi:10.23917/forgeo.v31i2.4189

Cited by 10 publications

(7 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the basis of a 5% significance threshold, if p-value is ≤ α= 0.05, the H 1 hypothesis is accepted, indicating a trend in the data. If p-value is ≥ α= 0.05, the absence of a trend in the data is shown, and H 0 is accepted (Arghius et al 2020;Atilgan et al 2017;Bačević et al 2020;Kale 2017;Shadmani et al 2012;Singh et al 2015;Subarna 2017).…”

Section: Mann-kendall Testmentioning

confidence: 96%

Analysis of Air Temperature Trends as a Climate Change Indicator for Alexandria (Egypt)

El-Geziry¹

2022

AJS

View full text Add to dashboard Cite

This work provides the results of the analyzed long-term trends for three air temperature categories, namely: average (Tavg), maximum (Tmax) and minimum (Tmin) on monthly, annual and seasonal bases for Alexandria. The aim was to examine possible climate changes in this famous City based on the results obtained from the analyzed trends. The study was based on examining (1) linear regression approaches, (2) trend magnitudes, (3) Mann-Kendall trend test and (4) extreme air temperature events. The air temperature data from Alexandria International Airport station were used over a period of 65 years (1957-2021). For all analyzed time series, the results showed statistically significant positive trends. The exception was for the monthly mean Tmax during January, February and December (negative trends), and March (No trend). The H1 hypothesis prevails for the three temperature categories, on different basis. Over the period of investigation, both the annual mean Tavg and Tmin rose at a rate of +0.02 °C/yr, while annual mean Tmax rose at a rate of + 0.008°C/ yr. In winter, the annual mean Tavg and Tmin had increasing trends at a rate of +0.02 °C/yr. The winter Tmax had a feeble increasing trend (almost constant), at a rate of only +0.0003 °C/yr. In summer, the three air temperature categories increased at a rate of +0.02 °C/yr, each. Extreme air temperature times were specified in this study on all bases for the three temperature categories. The findings of this study are thought to be a reliable indicator of the presence of climate change in Alexandria. Keywords: Alexandria, air temperature, climate change, trend analysis, extremes

show abstract

Section: Mann-kendall Testmentioning

confidence: 96%

Analysis of Air Temperature Trends as a Climate Change Indicator for Alexandria (Egypt)

El-Geziry¹

2022

AJS

View full text Add to dashboard Cite

show abstract

“…Distribusi probabilitas normal menggambarkan distribusi variabel acak yang sering muncul dalam kehidupan nyata. Variabel acak seperti suhu udara misalnya x, akan mengikuti distribusi normalnya jika Probability Density Function (PDF) memenuhi persamaan 1 (Subarna, 2017).…”

Section: Metode Penelitianunclassified

“…IPCC (2013) menyatakan bahwa tidak dapat dipungkiri peningkatan kejadian iklim ekstrim dapat menyebabkan bencana hidrometeorologi seperti banjir, angin puting beliung, dan kekeringan. Dalam jangka panjang dapat membawa pengaruh pada lingkungan, sosial, dan ekonomi di mana masyarakat akan menjadi rentan terhadap kejadian iklim ekstrim jika tidak diantisipasi sedini mungkin (Subarna, 2017).…”

Section: B Pembahasanunclassified

Assessment of Climate Change Based on Annual Trend and Change of Temperature in Manokwari, West Papua

Barung

Pattipeilohy²,

Muharsyah

2021

j.analisis.kebijak.kehutan.

View full text Add to dashboard Cite

A simple climate change assessment is carried out on annual air temperatures including average, maximum and minimum temperatures in Rendani, Manokwari for the period of 1993-2019. Parametric linear regression and nonparametric Mann-Kendall trend test (MK), Modified Mann-Kendall (MMK), Sen's Slope Estimator (SSE)are used to analyze trends and index numbers for analyzing the temperature changes. Homogenity test is performed using double mass curve and assumption of normality in the distribution is also investigated to meet the requirements of the linear regression trend test. There as a significant upward trend in the mean and minimum temperature with a slope of 0.029ºC/year and 0.069ºC/year, respectively. Meanwhile, the maximum temperature test shows no trend with a slope of 0.009ºC/year. Analysis of temperature changes using index numbers shows an increase in annual average temperature of 2.8% or 0.7°C, maximum temperature of 1.2% or 0.4°C, and minimum temperature of 3.1% or 0.8°C. The increase in annual air temperature in Manokwari City can generally be caused by several factors such as El Nino phenomenon, urbanization, population growth, and deforestation.

show abstract

“…Based on this project, the mean temperature increases by an average of 0.52 from 2019 to 2020. Based on a study by Subarna (2017), this increasing temperature trend could signify a long-term temperature increase that is approximated to reach 28.5°C in 2050 and 29.23°C in 2100.…”

Section: Application Of Mean Temperature and Rainfall Rate Analysismentioning

confidence: 99%

Understanding the Climate Behavior Through Data Interpretation: Java-Bali-Nusa Tenggara Case

Natayu

Kamila

Dananjaya

et al. 2021

IJoCED

View full text Add to dashboard Cite

As an archipelago country in the equator, Indonesia has a tropical climate and often is subjected to monsoonal circulation. The geographical location affects Indonesia to have two seasons, which are the rainy season and drier season. Every season has its characteristic impacts against the mean temperature and rainfall rate. This research aims to analyze Indonesia’s mean temperature and rainfall rate data concerning its tropical climate. The areas observed are limited to Java, Bali, and Nusa Tenggara Island from January 2019 to December 2020. The data gathered from the official Badan Meteorologi Klimatologi dan Geofisika (BMKG) website were processed using MATLAB, and Spearman’s correlation was applied to analyze the rainfall and temperature data. From the observation, this study discovered that the mean temperature data is stable throughout the areas but reaches maximum during the transition between rainy and drier seasons and minimum during the middle of the rainy season. The data observation is often fluctuated, even though showing less rain during the drier season and more during rainy seasons. The fluctuation is affected by the geographical fact that Indonesia has a large water surface, which makes evaporation easily induced by warm tropical temperatures.

show abstract

Analysis of Long-Term Temperature Trend as an Urban Climate Change Indicator

Cited by 10 publications

References 5 publications

Analysis of Air Temperature Trends as a Climate Change Indicator for Alexandria (Egypt)

Analysis of Air Temperature Trends as a Climate Change Indicator for Alexandria (Egypt)

Assessment of Climate Change Based on Annual Trend and Change of Temperature in Manokwari, West Papua

Understanding the Climate Behavior Through Data Interpretation: Java-Bali-Nusa Tenggara Case

Contact Info

Product

Resources

About