Search Results - "Burrows, Susannah"

Inverse Mapping of the Collision Kernel and Wall Flux Scaling in a Tall Convection‐Cloud Chamber Using Local Sensors and Knowledge‐Informed Deep Learning.

Authors: Wang, Aaron Jiang, Peishi Burrows, Susannah M. et al.

Source: Journal of Advances in Modeling Earth Systems; Jul2026, Vol. 18 Issue 7, p1-18, 18p

The Energy Exascale Earth System Model Version 3: 2. Overview of the Coupled System.

Authors: Golaz, Jean‐Christophe Lin, Wuyin Zheng, Xue et al.

Source: Journal of Advances in Modeling Earth Systems; Apr2026, Vol. 18 Issue 4, p1-44, 44p

Implementation and Evaluation of Emission‐Driven Land‐Atmosphere Coupled Simulation in E3SMv2.1.

Authors: Feng, Sha Harrop, Bryce E. Ricciuto, Daniel M. et al.

Source: Journal of Advances in Modeling Earth Systems; Dec2025, Vol. 17 Issue 12, p1-36, 36p

The Energy Exascale Earth System Model Version 3: 1. Overview of the Atmospheric Component.

Authors: Xie, Shaocheng Terai, Christopher R. Wang, Hailong et al.

Source: Journal of Advances in Modeling Earth Systems; Oct2025, Vol. 17 Issue 10, p1-39, 39p

Empirical Formulation for Multiple Groups of Primary Biological Ice Nucleating Particles from Field Observations over Amazonia.

Authors: Patade, Sachin Phillips, Vaughan T. J. Amato, Pierre et al.

Source: Journal of the Atmospheric Sciences; Jul2021, Vol. 78 Issue 7, p2195-2220, 26p, 1 Black and White Photograph, 9 Charts, 10 Graphs

Present-day correlations insufficient to constrain cloud albedo change by anthropogenic aerosols in E3SM v2.

Authors: Mahfouz, Naser Mülmenstädt, Johannes Burrows, Susannah

Source: Atmospheric Chemistry & Physics Discussions. 2/9/2024, p1-11. 11p.

Can GCMs represent cloud adjustments to aerosol–cloud interactions?

Authors: Mülmenstädt, Johannes Ackerman, Andrew S. Fridlind, Ann M. et al.

Source: EGUsphere; 3/28/2024, p1-36, 36p

OCEANFILMS (Organic Compounds from Ecosystems to Aerosols: Natural Films and Interfaces via Langmuir Molecular Surfactants) sea spray organic aerosol emissions – implementation in a global climate model and impacts on clouds.

Authors: Burrows, Susannah M. Easter, Richard C. Liu, Xiaohong et al.

Source: Atmospheric Chemistry & Physics. 2022, Vol. 22 Issue 8, p5223-5251. 29p.

Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions?

Authors: Mülmenstädt, Johannes Ackerman, Andrew S. Fridlind, Ann M. et al.

Source: Atmospheric Chemistry & Physics. 2024, Vol. 24 Issue 23, p13633-13652. 20p.

An Atmospheric Aerosol Short Course for Early Career Scientists.

Authors: Mather, James Burrows, Susannah Chand, Duli et al.

Source: Bulletin of the American Meteorological Society. Sep2020, Vol. 101 Issue 9, p73-78. 6p.

Present-day correlations are insufficient to predict cloud albedo change by anthropogenic aerosols in E3SM v2.

Authors: Mahfouz, Naser Mülmenstädt, Johannes Burrows, Susannah

Source: Atmospheric Chemistry & Physics. 2024, Vol. 24 Issue 12, p7253-7260. 8p.

Long-term Variability in immersion-mode Marine Ice Nucleating Particles from Climate Model Simulations and Observations.

Authors: Raman, Aishwarya Hill, Thomas DeMott, Paul J. et al.

Source: Atmospheric Chemistry & Physics Discussions. 4/12/2022, p1-36. 36p.

The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution.

Authors: Golaz, Jean‐Christophe Caldwell, Peter M. Van Roekel, Luke P. et al.

Source: Journal of Advances in Modeling Earth Systems. Aug2019, Vol. 11 Issue 7, p2089-2129. 41p.

E3SMv0‐HiLAT: A Modified Climate System Model Targeted for the Study of High‐Latitude Processes.

Authors: Hecht, Matthew Veneziani, Milena Weijer, Wilbert et al.

Source: Journal of Advances in Modeling Earth Systems; Aug2019, Vol. 11 Issue 8, p2814-2843, 30p

PLANNING THE NEXT DECADE OF COORDINATED RESEARCH TO BETTER UNDERSTAND AND SIMULATE MARINE LOW CLOUDS.

Authors: WOOD, ROBERT JENSEN, MICHAEL P. JIAN WANG et al.

Source: Bulletin of the American Meteorological Society; Sep2016, Vol. 97 Issue 9, p1699-1702, 4p

The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation.

Authors: Zhang, Chengzhu Golaz, Jean-Christophe Forsyth, Ryan et al.

Source: Geoscientific Model Development. 2022, Vol. 15 Issue 24, p9031-9056. 26p.

Primary biological aerosol particles in the atmosphere: a review.

Authors: Després, VivianeR. Huffman, J.Alex Burrows, Susannah M. et al.

Source: Tellus: Series B. 2012, Vol. 64, p1-N.PAG. 58p.

Global distribution and surface activity of macromolecules in offline simulations of marine organic chemistry.

Authors: Ogunro, Oluwaseun Burrows, Susannah Elliott, Scott et al.

Source: Biogeochemistry. Nov2015, Vol. 126 Issue 1-2, p25-56. 32p.

A marine biogenic source of atmospheric ice-nucleating particles.

Authors: Wilson, Theodore W. Ladino, Luis A. Alpert, Peter A. et al.

Source: Nature. 9/10/2015, Vol. 525 Issue 7568, p234-238. 5p. 2 Diagrams, 1 Chart, 9 Graphs, 2 Maps.

Subjects: Ocean-atmosphere interaction, Clouds, Atmosphere, Nucleating agents, Marine meteorology, Ice-atmosphere interaction

Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities.

Authors: Zhang, Kai Zhang, Wentao Wan, Hui et al.

Source: Atmospheric Chemistry & Physics. 2022, Vol. 22 Issue 13, p9129-9160. 32p.