Surface air temperature trends in Kathmandu Valley for 2011-2017

Thapa, Ajit; Silwal, Ashok; Gautam, Sujan Prasad; Nepal, C K.; Bhattarai, Suman; Timsina, Diksha

doi:10.3126/bibechana.v18i2.29495

Cited by 7 publications

(6 citation statements)

References 18 publications

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“…Different forms of correlation analysis, such as Pearson's correlation, Cross-correlation analysis, correlation using Heatmap, have been widely used as a powerful tool to establish the relationship between two time-series data. Various studies (e.g., Silwal et al [37,38], Thapa et al [39], Poudel et al…”

Section: Correlation Analysis: Heat Mapmentioning

confidence: 99%

Influence of COVID-19 Lockdown on Aerosol Optical Depth over Pokhara and Kyanjin Gompa in Nepal

Silwal

Gautam

Karki

et al. 2021

Preprint

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The outbreak of the COVID-19 pandemic and the subsequent global economic shutdown provided an opportunity to conduct a real-time experiment assessing the influence of global emission reductions in the Aerosol Optical Depth (AOD) level, an indicator of air pollution over Nepal. Nepal's government imposed a lockdown on the country for approximately three months (from 24 March onwards) in 2020. The purpose of this study is to examine the temporal fluctuation in Aerosol Optical Depth (AOD) caused by the COVID-19 shutdown by comparing its value during the same time period of the past year over two sites: Pokhara and Kyanjin Gompa. We comparatively analyzed the variation of diurnal mean and monthly average AOD of two selected sites, from the month of January to May 2020 and January to May 2018. By examining the time-series graph of daily average AOD prior to and during the lockdown period, our study showed an apparent fluctuation in AOD throughout the studied areas. The major findings of the research revealed that after the lockdown, a significant variation in monthly averaged AOD was observed, ranging from 20–60% deviation over Pokhara and 25–50% deviation in Kyanjin Gompa at different wavelengths. This confirms previous studies on aerosols and other particulate matter during COVID-19 lockdown, as well as theoretical assumptions. In addition, we performed the heatmap correlation analysis among AOD, Total precipitable water (Tpw), Angstrom exponent (α), Turbidity coefficient (β), and Visibility (V) during the studied period with possible explanations. We believe this research work serves as a crucial reference for our government to implement appropriate policies for pollution control over the studied areas in the future.

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Section: Correlation Analysis: Heat Mapmentioning

confidence: 99%

Influence of COVID-19 Lockdown on Aerosol Optical Depth over Pokhara and Kyanjin Gompa in Nepal

Silwal

Gautam

Karki

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Climate change means the change in the state of the climate derived by long-term alterations in one of its characteristics, commonly long-lasting for decades or longer (Masson et al 2021). The climate of Earth is significantly affected by various factors, such as topography, geographical location, altitude above the mean sea level, the tilt of the Earth's axis, and differences in temperature between terrestrial and aquatic systems (Thapa et al 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, there are scientific proofs that the status of the earth's atmosphere has changed over time, signalling that the world has become warmer (Masson et al 2021;Thapa et al 2021). This warming, now unquestionable, is shown in the increasing trends of the global temperature driven by increases in the concentrations of the greenhouse gases in the atmosphere, mainly attributed to the anthropogenic activities (Alemu and Dioha, 2020;Doulabian et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Trend Analysis of the Monthly and Annual Air Temperatures in Port-Said City (Egypt)

Dabbous,

El-Wakeel,

El-Geziry

2024

Preprint

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This study investigated variations in a long-term air temperature record in Port Said; to conclude the presence or absence of climate change in this important Egyptian city. The data collection spans 31 years, from 1991 to 2021. The research examined the homogeneity of the annual data, and the linear regression approach to specify the trend of air temperature variations throughout the study period. Moreover, the study investigated the trend significancy by using the Mann-Kendall test, the anomaly calculations and statistically specified the extreme air temperature events. Results revealed that the data were homogenous. Monthly mean air temperatures had increasing trends with varying rates, and the annual increasing trend had a rate of + 0.04°C/yr at 99% confidence level. A negative anomaly period existed only during the period 1991–1997, and as of 1998 the anomaly was always positive. The extreme air temperature times were precisely specified. Four extreme high and 12 extreme low monthly events were detected throughout the study period. The year 2010 (22.7°C) and the year 1991 (20.5°C) were determined as sole years of respectively extreme high and extreme low mean annual air temperatures. The research findings are regarded to be a trustworthy indicator of climate change in Port Said.

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“…A considerable body of scientific evidence reveals that the Earth's atmosphere has changed over time, indicating that the planet is warming (Masson et al 2021, Thapa et al 2021). This change is primarily caused by manmade activities that emit pollutants, with natural causes having a minor role (Jonathan and Raju 2017).…”

Section: Introductionmentioning

confidence: 99%

Heat Storage as Evidence of Hydrographic Cycles in the Southeastern Mediterranean Basin

Maiyza,

El-Geziry,

Maiyza

2023

AJS

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Numerous studies were conducted in the Southeastern Mediterranean Sea to determine whether variations in the hydrography and fisheries exhibit cyclic behaviour. This work investigated the long-term cyclic behaviour of physical properties in the Southeastern Mediterranean basin; taking heat storage as a parameter of interest. Heat storage is said to be a more accurate component to measure the probable thermal cyclic behaviour within a specific basin; it allows for the elimination of diurnal (full) and monthly effects on the examined thermal behaviour to a lesser extent. The work aims to: (1) provide the best fit model of heat storage anomaly changes; and (2) investigate any cyclic behaviour of change over a considerable span. The hydrographic data (temperature and salinity) were scattered over the period 1889-2021. However, because of the scarcity of data over the period 1892-1964, calculations of the mean annual heat storage and mean annual heat storage anomaly focused on the period 1965-2021 of continuous records. The minimum mean annual heat storage anomaly of the 300 m layer ranged from -9.0E9 Jm-2 (1992) to +0.84E9 Jm-2 (1994), with an overall mean of -0.016E9 Jm-2. +0.43E9 Jm-2 was the standard deviation from the mean. The best fit model was produced for the variations in the mean annual heat storage anomaly. This was represented by a cubic equation with R2 of 0.21. The minimum anomaly occurred in 1980 and the maximum in 2015. Therefore, the results confirmed the 70-year cycle of variation in the hydrographic conditions in the south-eastern Mediterranean region. Keywords: Southeastern Mediterranean Sea, heat storage, anomalies, cycles

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Surface air temperature trends in Kathmandu Valley for 2011-2017

Cited by 7 publications

References 18 publications

Influence of COVID-19 Lockdown on Aerosol Optical Depth over Pokhara and Kyanjin Gompa in Nepal

Influence of COVID-19 Lockdown on Aerosol Optical Depth over Pokhara and Kyanjin Gompa in Nepal

Trend Analysis of the Monthly and Annual Air Temperatures in Port-Said City (Egypt)

Heat Storage as Evidence of Hydrographic Cycles in the Southeastern Mediterranean Basin

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