Results 71 to 80 of about 430 (169)

In Situ Data Extraction for Pathway Analysis in an Idealized Atmosphere Configuration of E3SM

Computing in Science & Engineering
We propose an approach for characterizing source-impact pathways, the interactions of a set of variables in space-time due to an external forcing, in climate models using in-situ analyses that circumvent computationally expensive read/write operations.
Andrew Steyer, Luca Bertagna, Graham Harper, Jerry Watkins, Irina Tezaur, Diana Bull   +5 more
openaire   +2 more sources

Characterizing Tropical Cyclones in the Energy Exascale Earth System Model Version 1

Journal of Advances in Modeling Earth Systems, 2020
In this study, we analyze the realism with which tropical cyclones (TCs) are simulated in the fully coupled low‐ and high‐resolution Energy Exascale Earth System Model (E3SM) version 1, with a focus on the latter.
Karthik Balaguru, L. Ruby Leung, Luke P. Van Roekel, Jean‐Christophe Golaz, Paul A. Ullrich, Peter M. Caldwell, Samson M. Hagos, Bryce E. Harrop, Azamat Mametjanov   +8 more
doaj   +1 more source

The DOE E3SM version 2.1: overview and assessment of the impacts of parameterized ocean submesoscales [PDF]

Geoscientific Model Development
The U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) version 2.1 builds on E3SMv2 with several changes, with the most notable being the addition of the Fox-Kemper et al. (2011) mixed-layer eddy parameterization. This parameterization
K. M. Smith, A. M. Barthel, L. M. Conlon, L. P. Van Roekel, A. Bartoletti, J.-C. Golaz, C. Zhang, C. B. Begeman, J. J. Benedict, G. Bisht, Y. Feng, W. Hannah, B. E. Harrop, N. Jeffery, W. Lin, P.-L. Ma, M. E. Maltrud, M. R. Petersen, B. Singh, Q. Tang, T. Tesfa, J. D. Wolfe, S. Xie, X. Zheng, K. Balaguru, O. Garuba, P. Gleckler, A. Hu, J. Lee, B. Moore-Maley, A. C. Ordoñez   +30 more
doaj   +1 more source

MPAS-Ocean User's Guide, E3SM V3.0.0

This User's Guide is for the Model for Prediction Across Scales-Ocean (MPAS-Ocean), the ocean component of the Energy Exascale Earth System Model (E3SM), developed by the U.S. Department of Energy. Herein we describe the equations, namelist options, and variables for MPAS-Ocean.
Petersen, Mark, Asay-Davis, Xylar, Barthel, Alice, Begeman, Carolyn, Brus, Steven, Engwirda, Darren, Jones, Philip, Kang, Hyun-Gyu, Van Roekel, Luke, Wolfe, Jonathan   +9 more
openaire   +2 more sources

Improving Aerosol Radiative Forcing and Climate in E3SM: Impacts of New Cloud Microphysics and Improved Wet Removal Treatments

Journal of Advances in Modeling Earth Systems
Numerous Earth system models exhibit excessive aerosol effective forcing at the top of the atmosphere (TOA), including the Department of Energy's Energy Exascale Earth System Model (E3SM).
Yunpeng Shan, Jiwen Fan, Kai Zhang, Jacob Shpund, Christopher Terai, Guang J. Zhang, Xiaoliang Song, Chih‐Chieh‐Jack Chen, Wuyin Lin, Xiaohong Liu, Manish Shrivastava, Hailong Wang, Shaocheng Xie   +12 more
doaj   +1 more source

Influence of Eastern Pacific Hurricanes on the Southwest US Wildfire Environment

Geophysical Research Letters
While some previous studies examined the contribution of Eastern Pacific (EP) hurricanes toward precipitation in the arid Southwest US (SWUS), their potential to influence wildfires in that region has not been explored.
Karthik Balaguru, Sally S.‐C. Wang, L. Ruby Leung, Samson Hagos, Bryce Harrop, Chuan‐Chieh Chang, Sandro W. Lubis, Oluwayemi A. Garuba, Sourav Taraphdar   +8 more
doaj   +1 more source

Impact of Physics Parameterization Ordering in a Global Atmosphere Model

Journal of Advances in Modeling Earth Systems, 2018
Because weather and climate models must capture a wide variety of spatial and temporal scales, they rely heavily on parameterizations of subgrid‐scale processes.
Aaron S. Donahue, Peter M. Caldwell
doaj   +1 more source

The Influence of Climate Variability and Future Climate Change on Atlantic Hurricane Season Length

Geophysical Research Letters
Atlantic hurricane season length is important for emergency management preparation, motivating the need to understand its variability and change. We investigated the influence of ocean variability on Atlantic hurricane season length in observations and a
Christina M. Patricola, Grace E. Hansen, Ana C. T. Sena   +2 more
doaj   +1 more source

Applying corrective machine learning in the E3SM atmosphere model in C+ +  (EAMxx) [PDF]

Geoscientific Model Development
The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM) is the newest addition to the family of earth system models capable of explicitly resolving convective systems.
A. S. Donahue, E. Wu, W. A. Perkins, P. M. Caldwell, C. S. Bretherton, F. Rebassoo, J.-C. Golaz   +6 more
doaj   +1 more source

Simulating Dynamic Roots in the Energy Exascale Earth System Land Model

Journal of Advances in Modeling Earth Systems, 2019
Roots are important contributors to plant development, functioning to provide nutrients and water for plant growth. However, roots and their functions are often simplified in Earth system models, which limit the feedback of root foraging strategy on ...
B. A. Drewniak
doaj   +1 more source