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Several satellites (e.g., OCO-2 & 3) and their derived products now provide spatially extensive coverage of the abundance of carbon dioxide in the atmospheric column (XCO$_2$). However, the accuracy of the XCO$_2$ reported in these products…

To limit global warming to pre-industrial levels, global governments, industry and academia are taking aggressive efforts to reduce carbon emissions. The evaluation of anthropogenic carbon dioxide (CO$_2$) emissions, however, depends on the…

Atmospheric and Oceanic Physics · Physics 2022-10-25 Zhengwen Zhang , Jinjin Gu , Junhua Zhao , Jianwei Huang , Haifeng Wu

Monitoring the abundance of greenhouse gases (GHGs) such as carbon dioxide (CO$_2$) and methane (CH$_4$) is necessary to quantify their impact on global warming and climate change. Although a number of satellites and ground-based networks…

Earth and Planetary Astrophysics · Physics 2025-09-15 Marcelo Aron Fetzner Keniger , David Armstrong , Matteo Brogi , Siddharth Gandhi , Marina Lafarga

Accurate mapping of column-averaged CO2 (XCO2) over agricultural landscapes is essential for guiding emission mitigation strategies. We present a Spatiotemporal Vision Transformer with Wavelets (ST-ViWT) framework that reconstructs…

Precise and high-resolution carbon dioxide (CO$_2$) emission data is of great importance of achieving the carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO$_2$ Emission…

Air pollution is a major driver of climate change. Anthropogenic emissions from the burning of fossil fuels for transportation and power generation emit large amounts of problematic air pollutants, including Greenhouse Gases (GHGs). Despite…

Machine Learning · Computer Science 2021-09-01 Linus Scheibenreif , Michael Mommert , Damian Borth

Applications of satellite data in areas such as weather tracking and modeling, ecosystem monitoring, wildfire detection, and land-cover change are heavily dependent on the trade-offs to spatial, spectral and temporal resolutions of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Thomas Vandal , Ramakrishna Nemani

Satellite-based estimates of greenhouse gas (GHG) properties from observations of reflected solar spectra are integral for understanding and monitoring complex terrestrial systems and their impact on the carbon cycle due to their near…

The steadily increasing amount of atmospheric carbon dioxide (CO$_2$) is affecting the global climate system and threatening the long-term sustainability of Earth's ecosystem. In order to better understand the sources and sinks of CO$_2$,…

Applications · Statistics 2022-04-12 Pratik Patil , Mikael Kuusela , Jonathan Hobbs

Air pollution represents a pivotal environmental challenge globally, playing a major role in climate change via greenhouse gas emissions and negatively affecting the health of billions. However predicting the spatial and temporal patterns…

Machine Learning · Computer Science 2024-02-13 Madhav Khirwar , Ankur Narang

We propose a methodology to enhance local CO2 monitoring by integrating satellite data from the Orbiting Carbon Observatories (OCO-2 and OCO-3) with ground level observations from the Integrated Carbon Observation System (ICOS) and weather…

Machine Learning · Computer Science 2024-10-08 Oskar Åström , Carina Geldhauser , Markus Grillitsch , Ola Hall , Alexandros Sopasakis

Atmospheric Carbon Monoxide (CO) provides a window on the chemistry of the atmosphere since it is one of few chemical constituents that can be remotely sensed, and it can be used to determine budgets of other greenhouse gases such as ozone…

We demonstrate coherent dual frequency-comb spectroscopy for detecting variations in greenhouse gases. High signal-to-noise spectra are acquired spanning 5990 to 6260 cm^-1 (1600 to 1670 nm) covering ~700 absorption features from CO2, CH4,…

This work demonstrates the possibilities for improving wildfire and air quality management in the western United States by leveraging the unprecedented hourly data from NASA's TEMPO satellite mission and advances in self-supervised deep…

Machine Learning · Computer Science 2025-10-14 Nicholas LaHaye , Thilanka Munashinge , Hugo Lee , Xiaohua Pan , Gonzalo Gonzalez Abad , Hazem Mahmoud , Jennifer Wei

Accurately estimating high-resolution carbon emissions is crucial for effective emission governance and mitigation planning. While conventional methods for precise carbon accounting are hindered by substantial data collection efforts, the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-05 Jinwei Zeng , Yu Liu , Guozhen Zhang , Jingtao Ding , Yuming Lin , Jian Yuan , Yong Li

Light-matter interactions lie at the heart of our exploration of exoplanetary atmospheres. Interpreting data obtained by remote sensing is enabled by meticulous, time- and resource-consuming work aiming at deepening our understanding of…

Earth and Planetary Astrophysics · Physics 2025-03-06 Laurent Wiesenfeld , Prajwal Niraula , Julien de Wit , Nejmeddine Jaïdane , Iouli E. Gordon , Robert J. Hargreaves

Geological Carbon Storage (GCS) is a key technology for achieving global climate goals by capturing and storing CO2 in deep geological formations. Its effectiveness and safety rely on accurate monitoring of subsurface CO2 migration using…

Computational Physics · Physics 2025-02-12 Abhinav Prakash Gahlot , Rafael Orozco , Felix J. Herrmann

Geostationary observations offer the unique opportunity to resolve the diurnal cycle of the Earth's Radiation Budget at the top of the atmosphere (TOA), crucial for climate-change studies. However, a drawback of the continuous temporal…

Atmospheric and Oceanic Physics · Physics 2021-04-28 Alexandre Payez , Steven Dewitte , Nicolas Clerbaux

To meet climate targets, the IPCC underscores the necessity of technologies capable of removing gigatonnes of CO2 annually, with Geological Carbon Storage (GCS) playing a central role. GCS involves capturing CO2 and injecting it into deep…

Computational Physics · Physics 2025-02-12 Abhinav Prakash Gahlot , Felix J. Herrmann
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