Results 81 to 90 of about 1,566 (197)

Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions

, 2023
Methane (CH4) is the second most critical greenhouse gas after carbon dioxide, contributing to 16-25% of the observed atmospheric warming. Wetlands are the primary natural source of methane emissions globally.
Chinta, Sandeep, Gao, Xiang, Zhu, Qing
core  

Surface Observations From Atmospheric Radiation Measurement Sites Constrain the Anthropogenic Contribution to Cloud Droplet Number

Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract Uncertainty in anthropogenic forcing driven by aerosol‐cloud interactions (aci) limits our ability to infer the sensitivity of the Earth system to forcing from historical records. The driver of aci is the change in cloud droplet number concentration (Nd) due to changes in aerosol serving as cloud condensation nuclei (CCN).
Dani B. Jones, Hunter Y. Brown, Jacqueline M. Nugent, August Mikkelsen, Ci Song, Damao Zhang, Susannah M. Burrows, Hamish Gordon, Andrew Kirby, Daniel T. McCoy   +9 more
wiley   +1 more source

Improving the QBO Forcing by Resolved Waves With Vertical Grid Refinement in E3SMv2

Journal of Advances in Modeling Earth Systems
The quasi‐biennial oscillation (QBO) is the dominate mode of variability in the tropical stratosphere and plays an important role in stratospheric dynamics and chemistry.
W. Yu, W. M. Hannah, J. J. Benedict, C.‐C. Chen, J. H. Richter   +4 more
doaj   +1 more source

Assessing the climate impact of an improved volcanic sulfate aerosol representation in E3SM [PDF]

Geoscientific Model Development
Accurately simulating historical surface temperature variations is essential for evaluating climate models, yet many struggle to reproduce the mid-20th-century temperature trends associated with significant volcanic eruptions.
Z. Ke, Z. Ke, Q. Tang, J.-C. Golaz, X. Liu, H. Wang   +5 more
doaj   +1 more source

The atmospheric effect of aerosols on future tropical cyclone frequency and precipitation in the Energy Exascale Earth System Model [PDF]

This study uses experiments from the Energy Exascale Earth System Model (E3SM) to compare the influence on tropical cyclone (TC) activity of: (i) the atmospheric effect of aerosols under specified sea-surface temperatures (SSTs); and (ii) the net effect ...
Camargo, Suzana J, Patricola, Christina M, Sena, Ana CT, Sobel, Adam H   +3 more
core   +1 more source

Automated Custom Calibration for E3SM [PDF]

, 2021
Benjamin Wagman, Kenny Chowdhary, Andy Salinger   +2 more
openaire   +1 more source

Interconnection of Aerosol‐Cloud Interactions and Cloud Feedback Through Warm Rain Process

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 5, 16 March 2026.
Abstract Recent research has revealed a correlation within the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulations: models exhibiting more pronounced warming due to positive cloud feedback simultaneously show enhanced cooling from aerosol‐cloud interactions (ACI).
Chuan Feng, Xiaohong Liu, Xi Zhao, Zheng Lu, Lin Lin, Mark D. Zelinka, Yi Qin, Yunpeng Shan, Youtong Zheng, Xingru Wu, Ramalingam Saravanan   +10 more
wiley   +1 more source

E3SM Chemistry Diagnostics Package (ChemDyg) Version 0.1.4

Abstract. The E3SM Chemistry diagnostics package (ChemDyg) is an open-source software, all diagnostic scripts written in Python, developed to support the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM). The current version 0.1.4 of ChemDyg generates several diagnostic plots and tables for model-to-model and model-to-observation ...
Hsiang-He Lee, Qi Tang, Michael Prather
openaire   +2 more sources

Convective Biases in the US DOE Global Storm‐Resolving Model: Insights From Regionally Refined Simulations During the CACTI Campaign

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 5, 16 March 2026.
Abstract Accurately simulating convective processes in complex terrain remains a critical challenge for global storm‐resolving models (GSRMs). This study systematically evaluates moist convective biases in the Regionally Refined Mesh configuration of the U.S.
Tianning Su, Yunyan Zhang, Hsi‐Yen Ma, Adam C. Varble, Peter A. Bogenschutz   +4 more
wiley   +1 more source

Autocalibration of the E3SM version 2 atmosphere model using a PCA-based surrogate for spatial fields

, 2023
Global Climate Model (GCM) tuning (calibration) is a tedious and time-consuming process, with high-dimensional input and output fields. Experts typically tune by iteratively running climate simulations with hand-picked values of tuning parameters.
Chowdhary, Kenny, Shand, Lyndsay, Wagman, Benjamin, Yarger, Drew   +3 more
core