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The rapid ascent in carbon dioxide emissions is a major cause of global warming and climate change, which pose a huge threat to human survival and impose far-reaching influence on the global ecosystem. Therefore, it is very necessary to…

Artificial Intelligence · Computer Science 2023-02-03 Xiangqian Li

The continuous rise in CO2 emission into the environment is one of the most crucial issues facing the whole world. Many countries are making crucial decisions to control their carbon footprints to escape some of their catastrophic outcomes.…

Machine Learning · Computer Science 2022-12-01 Aman Desai , Shyamal Gandhi , Sachin Gupta , Manan Shah , Samir Patel

Reducing Carbon dioxide (CO2) emission is vital at both global and national levels, given their significant role in exacerbating climate change. CO2 emission, stemming from a variety of industrial and economic activities, are major…

Applications · Statistics 2024-05-07 Hamed Khosravi , Ahmed Shoyeb Raihan , Farzana Islam , Ashish Nimbarte , Imtiaz Ahmed

The most recent concern of all people on Earth is the increase in the concentration of greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over the last century and if the trend continues it can cause many…

Machine Learning · Computer Science 2022-11-16 Samveg Shah , Shubham Thakar , Kashish Jain , Bhavya Shah , Sudhir Dhage

We constructed a near-real-time daily CO2 emission dataset, namely the Carbon Monitor, to monitor the variations of CO2 emissions from fossil fuel combustion and cement production since January 1st 2019 at national level with near-global…

Global achievement of climate change mitigation will heavy reply on how much of CO2 emission has and will be released by China. After rapid growth of emissions during last decades, China CO2 emissions declined since 2014 that driven by…

General Economics · Economics 2018-11-26 Zhu Liu , Bo Zheng , Qiang Zhang

Global temperature is a fundamental climate metric highly correlated with sea level, which implies that keeping shorelines near their present location requires keeping global temperature within or close to its preindustrial Holocene range.…

Global fossil CO2 emissions in 2020 decreased 5.4%, from 36.7 Gt CO2 in 2019 to 34.8 Gt CO2 in 2020, an unprecedented decline of ~1.9 Gt CO2. We project that global fossil CO2 emissions in 2021 will rebound 4.9% (4.1% to 5.7%) compared to…

Atmospheric and Oceanic Physics · Physics 2022-03-14 RB Jackson , P Friedlingstein , C Le Quere , S Abernethy , RM Andrew , JG Canadell , P Ciais , SJ Davis , Zhu Deng , Zhu Liu , GP Peters

Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions. Carbon Monitor Cities provides daily, city-level…

The diurnal cycle CO$_2$ emissions from fossil fuel combustion and cement production reflect seasonality, weather conditions, working days, and more recently the impact of the COVID-19 pandemic. Here, for the first time we provide a daily…

In the last 150 years, CO2 concentration in the atmosphere has increased from 280 parts per million to 400 parts per million. This has caused an increase in the average global temperatures by nearly 0.7 degree centigrade due to the…

Signal Processing · Electrical Eng. & Systems 2020-06-28 Sandeep Kumar , Pranab K. Muhuri

The contribution of anthropogenic and natural greenhouse gases to the atmosphere from the territory of Russia, China, USA and Canada to global climate change under different scenarios of anthropogenic emissions in the 21st century has been…

Atmospheric and Oceanic Physics · Physics 2021-11-24 S. N. Denisov , A. V. Eliseev , I. I. Mokhov

High spatial resolution PM2.5 data covering a long time period are urgently needed to support population exposure assessment and refined air quality management. In this study, we provided complete-coverage PM2.5 predictions with a 1-km…

Atmospheric and Oceanic Physics · Physics 2022-05-09 Qingyang Xiao , Guannan Geng , Shigan Liu , Jiajun Liu , Xia Meng , Qiang Zhang

Nitrogen dioxide (NO2) is one of the most important atmospheric pollutants. However, current ground-level NO2 concentration data are lack of either high-resolution coverage or full coverage national wide, due to the poor quality of source…

Atmospheric and Oceanic Physics · Physics 2022-07-20 Xinyu Dou , Cuijuan Liao , Hengqi Wang , Ying Huang , Ying Tu , Xiaomeng Huang , Yiran Peng , Biqing Zhu , Jianguang Tan , Zhu Deng , Nana Wu , Taochun Sun , Piyu Ke , Zhu Liu

Changes in CO$_2$ emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to…

Global Climate Models (GCMs) provide forecasts of future climate warming using a wide variety of highly sophisticated anthropogenic CO2 emissions models as input, each based on the evolution of four emissions "drivers": population p,…

Atmospheric and Oceanic Physics · Physics 2011-04-06 Timothy J. Garrett

This paper presents a comprehensive study leveraging Support Vector Machine (SVM) regression and Principal Component Regression (PCR) to analyze carbon dioxide emissions in a global dataset of 62 countries and their dependence on…

Machine Learning · Computer Science 2025-03-21 Wenjia Xie , Jinhui Li , Kai Zong , Luis Seco

This study provides a comprehensive time series analysis of daily industry-specific, country-wise CO$_2$ emissions from January 2019 to February 2023. The research focuses on the Power, Industry, Ground Transport, Domestic Aviation, and…

Machine Learning · Computer Science 2023-07-28 Suchetana Sadhukhan , Vivek Kumar Yadav

We assess evidence for changes in tail characteristics of wind, solar irradiance and temperature variables output from CMIP6 global climate models (GCMs) due to climate forcing. We estimate global and climate zone annual maximum and annual…

Applications · Statistics 2025-02-06 Callum Leach , Kevin Ewans , Philip Jonathan

Accurate reporting and forecasting of PM2.5 concentration are important for improving public health. In this paper, we propose a daily prediction method of PM2.5 concentration by using data-driven ordinary differential equation (ODE)…

Atmospheric and Oceanic Physics · Physics 2018-08-14 Yufang Wang , Haiyan Wang , Shuhua Zhang
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