Results 51 to 60 of about 1,566 (197)

Energy Exascale Earth System Model (E3SM)

, 2018
The Energy Exascale Earth System Model (E3SM) is a state-of-the-art fully coupled model of the Earth's climate that is intended to address the most challenging and demanding climate-change research problems and Department of Energy mission needs while efficiently using DOE Leadership Computing Facilities.Note: This poster was presented at ORNL Software
E3SM Project, Sreepathi, Sarat
openaire   +1 more source

Three Generations of NARCliM: Evaluation of Precipitation, Temperature and Their Extremes Over the CORDEX Australasia Domain

International Journal of Climatology, EarlyView.
The NSW and Australian Regional Climate Modelling Version 2.0 (NARCliM2.0) builds on NARCliM1.0 and 1.5 to deliver improved regional climate simulations. This study provides the first comprehensive evaluation of NARCliM2.0 against its predecessors, assessing individual model skill in reproducing mean and extreme climate.
Fei Ji, Moutassem El Rafei, Giovanni Di Virgilio, Jatin Kala, Jason P. Evans, Julia Andrys, Eugene Tam, Stephen White, Dipayan Choudhury, Rishav Goyal, Carlos Rocha, Yue Li, Matthew L. Riley   +12 more
wiley   +1 more source

The Energy Exascale Earth System Model Simulations With High Vertical Resolution in the Lower Troposphere

Journal of Advances in Modeling Earth Systems, 2021
General circulation models (GCMs) are typically run with coarse vertical resolution. For example, the Energy Exascale Earth System Model (E3SM) has a vertical resolution of about 200 m in the boundary layer, which is far too coarse to resolve sharp ...
Peter A. Bogenschutz, Takanobu Yamaguchi, Hsiang‐He Lee   +2 more
doaj   +1 more source

An Overview of the Atmospheric Component of the Energy Exascale Earth System Model [PDF]

, 2019
The Energy Exascale Earth System Model Atmosphere Model version 1, the atmospheric component of the Department of Energy’s Energy Exascale Earth System Model is described.
Bacmeister, J., Bader, D., Branstetter, M., Brent, L., Burrows, S. M., Caldwell, P., Cameron‐smith, P., Easter, R. C., Evans, K. J., Flanner, M., Foucar, J. G., Golaz, J.‐c., Hannay, C., Harrop, B. E., Jacob, R., Keen, N., Klein, S. A., Larson, V. E., Leung, L. R., Lin, W., Liu, X., Ma, P.‐l., Mahajan, S., Mametjanov, A., Neale, R., Qian, Y., Rasch, P. J., Richter, J. H., Roesler, E., Salinger, A.G., Shrivastava, M., Singh, B., Tang, Q., Taylor, M., Wan, H., Wang, H., Xie, S., Yang, Y., Yoon, J.‐h., Zender, C. S., Zhang, K., Zhang, Y.   +41 more
core   +3 more sources

How Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?

International Journal of Climatology, EarlyView.
Climate models generally reproduce the WAWJ and August peak but simulate its onset prematurely and too strongly relative to ERA5. CMIP6 simulations struggle to reproduce the jet–precipitation relationship in the Sahel and underrepresent associated moisture transports.
Akintunde I. Makinde, Babatunde J. Abiodun, Rachel James, Richard Washington, Ellen Dyer, Tom Webb   +5 more
wiley   +1 more source

Attributing Upper‐Tropospheric Warm Biases in CMIP6 Models to Ice Cloud‐Radiation Interaction Deficiencies Over Tropical Oceans

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract We assess the impact of hydrometeor radiative effects on tropical and subtropical Pacific air temperature anomalies (TAA) using Coupled Model Intercomparison Project Phase 6 (CMIP6) model simulations and satellite data. CMIP6 models are grouped by their treatment of frozen hydrometeors: SON2 (explicit cloud and falling ice), SON1 (simplified),
J.‐L. F. Li, Wei‐Liang Lee, Kuan‐Man Xu, J. H. Jiang, Yi‐Hui Wang, Yu‐Cian Tsai, S‐P. Ho, Qing Yue, Graeme Stephens, Jia‐Yuh Yu, Huiwen Chuang   +10 more
wiley   +1 more source

Interactive Gas Chemistry for Enhanced Science Capabilities of the Energy Exascale Earth System Model Version 3

Journal of Advances in Modeling Earth Systems
Atmospheric chemistry plays a crucial role in Earth system models (ESMs), controlling atmospheric composition and radiative balance; it is highly interactive with the physical climate, biogeochemical cycles, and human systems.
Qi Tang, Michael J. Prather, Ziming Ke, Jinbo Xie, Hsiang‐He Lee, Mingxuan Wu, Philip Cameron‐Smith, Hailong Wang, Wuyin Lin, Shaocheng Xie   +9 more
doaj   +1 more source

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

Atmospheric Chemistry and Physics
Cloud albedo susceptibility to droplet number perturbation remains a source of uncertainty in understanding aerosol–cloud interactions and thus both past and present climate states. Through the Energy Exascale Earth System Model (E3SM) v2 experiments, we
N. Mahfouz, J. Mülmenstädt, S. Burrows
doaj   +1 more source

The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model

Journal of Advances in Modeling Earth Systems, 2021
The low cloud bias in global climate models (GCMs) remains an unsolved problem. Coarse vertical resolution in GCMs has been suggested to be a significant cause of low cloud bias because planetary boundary layer parameterizations cannot resolve sharp ...
Hsiang‐He Lee, Peter Bogenschutz, Takanobu Yamaguchi   +2 more
doaj   +1 more source

Sensitivity of Anthropogenic Cloud Droplet Number Change to Preindustrial Emission Inventories and Physics Parameterizations

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Understanding the preindustrial (PI) to present‐day (PD) change in cloud droplet number concentration (ΔNd) is important to constrain the anthropogenic influence on clouds and aid future model projections. Perturbed parameter ensemble simulations of PI and PD conditions in the Energy Exascale Earth System Model (E3SMv3) reveal two locations ...
Hunter Y. Brown, Daniel T. McCoy, Jacqueline M. Nugent, Hailong Wang, Mingxuan Wu, Kai Zhang, Susannah M. Burrows   +6 more
wiley   +1 more source