Anton Darmenov

Deep learning representation of the aerosol size distribution

Donifan O. Barahona, Katherine H. Breen, Karoline Block, Anton Darmenov

Aerosols influence Earth's radiative balance via the scattering and absorbing of solar radiation, affect cloud formation, and play important roles on precipitation, ocean seeding and human health. Accurate modeling of these effects requires knowledge of the chemical composition and size distribution of …

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Data Driven Air Entrainment Velocity Parameterization by Breaking Waves

Xiaohui Zhou, Anton Darmenov, Kianoosh Yousefi

Wave breaking injects turbulence and bubbles into the upper ocean, modulating air-sea exchange of momentum, heat, gases, and sea-spray aerosols. These fluxes depend nonlinearly on sea state but remain poorly represented in coupled atmosphere-wave-ocean models, where air-entrainment velocity is often parameterized using …

Data Driven Air Entrainment Velocity Parameterization by Breaking Waves

Xiaohui Zhou, Anton Darmenov, Kianoosh Yousefi

Wave breaking injects turbulence and bubbles into the upper ocean, modulating air-sea exchange of momentum, heat, gases, and sea-spray aerosols. These fluxes depend nonlinearly on sea state but remain poorly represented in coupled atmosphere-wave-ocean models, where air-entrainment velocity is often parameterized using …

Global Ensemble Fire Emission Product Version 1.0 (EnsemFire V1.0)

Yunyao Li, Daniel Tong, Ziheng Sun, Li Zhang et autres

The EnsemFire dataset is a daily global 0.1° × 0.1° biomass burning emission dataset stored in the Network Common Data Form (NetCDF). The dataset includes ensemble mean estimates for a range of chemical species emitted from biomass burning, as well as their …

Global Ensemble Fire Emission Product Version 1.0 (EnsemFire V1.0)

Yunyao Li, Daniel Tong, Ziheng Sun, Li Zhang et autres

The EnsemFire dataset is a daily global 0.1° × 0.1° biomass burning emission dataset stored in the Network Common Data Form (NetCDF). The dataset includes ensemble mean estimates for a range of chemical species emitted from biomass burning, as well as their …

Global Ensemble Fire Emission Product Version 1.0 (EnsemFire V1.0)

Yunyao Li, Daniel Tong, Ziheng Sun, Li Zhang et autres

This paper presents EnsemFire v1.0, a global ensemble fire emission dataset that provides daily emissions at 0.1° × 0.1° spatial resolution for key air pollutants like fine particulate matter (PM₂.₅), black carbon (BC), organic carbon (OC), carbon monoxide (CO), ammonia (NH₃), nitrogen …

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Global Ensemble Fire Emission Product Version 1.0 (EnsemFire V1.0)

Yunyao Li, Daniel Tong, Ziheng Sun, Li Zhang et autres

Deep learning representation of the aerosol size distribution

Donifan O. Barahona, Kathy Breen, Karoline Block, Anton Darmenov

Abstract. Aerosols influence Earth's radiative balance via the scattering and absorbing of solar radiation, affect cloud formation, and play important roles on precipitation, ocean seeding and human health. Accurate modeling of these effects requires knowledge of the the chemical composition and size …

us, de (code pays fourni par la source)

Multi-Decadal Trends of Solar Radiation Reaching the Surface Determined by Aerosol-Cloud-Radiation Interactions, Climate Change, and Anthropogenic Emissions

Mian Chin, Huisheng Bian, Martin Wild, Donifan O. Barahona et autres

Incoming solar radiation drives the Earth’s climate system. Long-term surface observations of solar radiation reaching the surface have shown decreasing or increasing trends in different regions of the world in the past several decades, indicating the change of atmospheric components that reflect …

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Biomass burning emission estimation in the MODIS era: State-of-the-art and future directions

Mark Parrington, Cynthia Whaley, Nancy H. F. French, Rebecca R. Buchholz et autres

Accurate estimates of biomass burning (BB) emissions are of great importance worldwide due to the impacts of these emissions on human health, ecosystems, air quality, and climate. Atmospheric modeling efforts to represent these impacts require BB emissions as a key input. This …

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Multiagency Ensemble Forecast of Wildfire Air Quality in the United States: Toward Community Consensus of Early Warning

Yunyao Li, Daniel Tong, Peewara Makkaroon, Timothy DelSole et autres

Abstract Wildfires pose increasing risks to human health and properties in North America. Due to large uncertainties in fire emission, transport, and chemical transformation, it remains challenging to accurately predict air quality during wildfire events, hindering our collective capability to issue effective …

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Investigation of observed dust trends over the Middle East region in NASA Goddard Earth Observing System (GEOS) model simulations

Adriana Rocha-Lima, Peter R. Colarco, Anton Darmenov, E. P. Nowottnick et autres

Satellite observations and ground-based measurements have indicated a high variability in the aerosol optical depth (AOD) in the Middle East region in recent decades. In the period that extends from 2003 to 2012, observations show a positive AOD trend of 0.01–0.04 per …

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