Imagen de Portada

Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Batchu, Vishal V., Conserva, Michelangelo, Wilson, Alex, Michalak, Anna M., Gulshan, Varun, Brodrick, Philip G., Thorpe, Andrew K., Arsdale, Christopher V.
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Machine Learning Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Satellite monitoring of annual US landfill methane emissions and trends
por: Balasus, Nicholas, et al.
Publicado: (2024)

AI for operational methane emitter monitoring from space
por: Vaughan, Anna, et al.
Publicado: (2024)

NWP-based deep learning for tropical cyclone intensity prediction
por: Kieu, Chanh, et al.
Publicado: (2025)

Causally-informed deep learning to improve climate models and projections
por: Iglesias-Suarez, Fernando, et al.
Publicado: (2023)

Accurate Mediterranean Sea forecasting via graph-based deep learning
por: Holmberg, Daniel, et al.
Publicado: (2025)

Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning
por: Landry, David, et al.
Publicado: (2024)

Inductive biases in deep learning models for weather prediction
por: Thuemmel, Jannik, et al.
Publicado: (2023)

Aligning long-term climate mitigation with enhanced methane action
por: Tanaka, Katsumasa, et al.
Publicado: (2024)

Assessing the ability of a stretched-grid deep-learning weather prediction model to capture physical balances
por: Pasquini, Francesco, et al.
Publicado: (2026)

A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction
por: Liu, Shigan, et al.
Publicado: (2025)

Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales
por: Brettin, Andrew, et al.
Publicado: (2025)

Projecting U.S. coastal storm surge risks and impacts with deep learning
por: Rice, Julian R., et al.
Publicado: (2025)

OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning
por: Pierzyna, Maximilian, et al.
Publicado: (2026)

Emergence of an Advective Boundary Layer in Monsoon Cross-Equatorial Flow: Scaling, Dynamics, and Idealized Models
por: Masiwal, Rajat, et al.
Publicado: (2026)

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
por: Guo, Shan, et al.
Publicado: (2025)

Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data
por: Wang, Xiaolin, et al.
Publicado: (2025)

Tidal motions in the deep Mediterranean
por: van Haren, Hans
Publicado: (2026)

Machine-learned cloud classes from satellite data for process-oriented climate model evaluation
por: Kaps, A., et al.
Publicado: (2022)

Stratified-turbulence observations in the deep Mediterranean
por: van Haren, Hans
Publicado: (2026)

Mapping Farmed Landscapes from Remote Sensing
por: Conserva, Michelangelo, et al.
Publicado: (2025)

The Design and Performance of Meteorological Sensors for WindBorne Global Sounding Balloons
por: Spisak, Jake, et al.
Publicado: (2026)

Deep learning the sources of MJO predictability: a spectral view of learned features
por: Yao, Lin, et al.
Publicado: (2025)

Aragats high altitude research station 80 years of continuous cosmic ray monitoring
por: Asaturyan, Z., et al.
Publicado: (2024)

Fast response of deep ocean circulation to mid-latitude winds in the Atlantic
por: Frajka-Williams, E., et al.
Publicado: (2025)

Heat-flash travel just above a deep Mediterranean seafloor
por: van Haren, Hans
Publicado: (2026)

Is methane the 'climate culprit'? The dangers of using imprecise, long-term GWP for methane to address the climate emergency
por: Bryenton, Roger W., et al.
Publicado: (2024)

Corrected values of turbulence generated by general geothermal convection in deep Mediterranean waters
por: van Haren, Hans
Publicado: (2025)

Turbulence demonstrates height variations in closely spaced deep-sea mooring lines
por: van Haren, Hans
Publicado: (2026)

Internal-wave convection and shear near the top of a deep equatorial seamount
por: van Haren, Hans
Publicado: (2024)

Intrinsically episodic Antarctic shelf intrusions of circumpolar deep water via canyons
por: Ong, Ellie Q. Y., et al.
Publicado: (2023)

Fusion of multi-source precipitation records via coordinate-based generative model
por: Sun, Sencan, et al.
Publicado: (2025)

A minimal model of the deep-convection lifecycle and its verification in remote-sensing observations
por: Bölle, Tobias, et al.
Publicado: (2024)

Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data
por: Küçük, Çağlar, et al.
Publicado: (2024)

A Nonhydrostatic Mass-Conserving Dynamical Core for Deep Atmospheres of Variable Composition
por: Kelly, James F., et al.
Publicado: (2024)

Recent Weakening of the Global Radiative Feedback
por: Van Loon, Senne, et al.
Publicado: (2026)

Reconciled warning signals in observations and models imply approaching AMOC tipping point
por: Shin, Yechul, et al.
Publicado: (2025)

How optimal control of polar sea-ice depends on its tipping points
por: Kooloth, Parvathi, et al.
Publicado: (2024)

FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting
por: Chen, Lei, et al.
Publicado: (2025)

Condensation mass sink and intensification of tropical storms
por: Makarieva, Anastassia M., et al.
Publicado: (2024)

On the possible role of condensation-related hydrostatic pressure adjustments in intensification and weakening of tropical cyclones
por: Makarieva, Anastassia M., et al.
Publicado: (2024)