Results 71 to 80 of about 1,566 (197)

Global Water Stress Assessment Using a Coupled Hydrological‐Socioeconomic Modeling Framework

Hydrological Processes, Volume 40, Issue 4, April 2026.
We developed a coupled model that integrates human society and the environment to jointly simulate water supply and demand. The coupled framework improves the representation of river flow seasonality and yields more internally consistent estimates of global water stress exposure. By capturing regional reliance on groundwater and other non‐surface water
Tetsuya Fukuda, Yuichi Muto, Roman Olson, Tomoko Nitta, Takao Yoshikane, Hiroaki Kawata, Kei Yoshimura   +6 more
wiley   +1 more source

Automatically parallelizing batch inference on deep neural networks using Fiats and Fortran 2023 `do concurrent` [PDF]

This paper introduces novel programming strategies that leverage features of the Fortran 2023 standard of the International Standards Organization (ISO) to automatically parallelize computations on deep neural networks. The paper focuses on the interplay
Bai, Zhe, Bonachea, Dan, Ergawy, Kareem, Gutmann, Ethan, Klemm, Michael, Rasmussen, Katherine, Richardson, Brad, Rouson, Damian, Shende, Sameer, Torres, David, Zhang, Yunhao   +10 more
core   +1 more source

Evaluation of CMIP6 Models in Simulating Australian Monsoon Over Northern Australia

International Journal of Climatology, Volume 46, Issue 5, April 2026.
The study assesses CMIP6 models for their ability to simulate key aspects of the Australian summer monsoon, including precipitation patterns, wind circulation, monsoon onset/retreat, and ENSO teleconnections. Most models overestimate rainfall, underestimate wind strength, and simulate more uniform ENSO influence across northeast and northwest Australia.
Rida S. Kiani, Josephine R. Brown, Andrew D. King, Claire Vincent, Nicola Maher   +4 more
wiley   +1 more source

Rates of Sea‐Level Rise Are Highly Sensitive to Ice Viscosity Parameters in Model Benchmarks

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Glacier flow plays a major role in current and future rates of globally averaged sea‐level rise. The viscosity of glacial ice, controlling the rate of flow, decreases as stress increases and is highly sensitive to the value of the stress exponent, n $n$, in the constitutive equation for viscous flow.
D. F. Martin, S. B. Kachuck, M. Trevers, J. D. Millstein, S. L. Cornford, B. M. Minchew   +5 more
wiley   +1 more source

Autocalibration of the E3SM Version 2 Atmosphere Model Using a PCA‐Based Surrogate for Spatial Fields

Journal of Advances in Modeling Earth Systems
Global Climate Model 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.
Drew Yarger, Benjamin Moore Wagman, Kenny Chowdhary, Lyndsay Shand   +3 more
doaj   +1 more source

Numerical Water Tracers in the Atmospheric Component of the Energy Exascale Earth System Model: Implementation and Changes in Moisture Origin

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Numerical water tracers are implemented in the Energy Exascale Earth System Model version 2. Simulations performed with the water‐tag‐enabled model for both pre‐industrial and future greenhouse gas concentrations reveal a marked increase in the role of mid‐latitude and southern subtropical regions as exporters of atmospheric moisture—to the ...
Alexandre Audette, Nicole Feldl, Hansi Singh, Kyle Heyblom, Hailong Wang, Jesse Nusbaumer, Hui Wan, Kai Zhang   +7 more
wiley   +1 more source

Statistics of extreme events in coarse-scale climate simulations via machine learning correction operators trained on nudged datasets

, 2023
This work presents a systematic framework for improving the predictions of statistical quantities for turbulent systems, with a focus on correcting climate simulations obtained by coarse-scale models.
Charalampopoulos, Alexis-Tzianni, Harrop, Bryce, Leung, Lai-yung Ruby, Sapsis, Themistoklis, Zhang, Shixuan   +4 more
core  

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

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract The Energy Exascale Earth System Model version 3 (E3SMv3) represents the latest advancement in Earth system modeling developed by the U.S. Department of Energy (DOE). Building upon previous versions, E3SMv3 introduces significant updates across its coupled components to enhance capability and improve fidelity.
Jean‐Christophe Golaz, Wuyin Lin, Xue Zheng, Shaocheng Xie, Andrew F. Roberts, Luke P. Van Roekel, Peter E. Thornton, Alice M. Barthel, Andrew M. Bradley, Jonathan D. Wolfe, Chengzhu Zhang, Kai Zhang, Shixuan Zhang, Xylar S. Asay‐Davis, Carolyn B. Begeman, Gautam Bisht, Susannah M. Burrows, Chih‐Chieh‐Jack Chen, Yan Feng, Elizabeth C. Hunke, Robert L. Jacob, Ziming Ke, Salil Mahajan, Naser G. Mahfouz, Mathew E. Maltrud, Xiaoying Shi, Qi Tang, Christopher R. Terai, Erin E. Thomas, Hailong Wang, Jinbo Xie, Tian Zhou, Tony Bartoletti, James J. Benedict, Michael A. Brunke, Darin S. Comeau, Jiwen Fan, Ryan M. Forsyth, James G. Foucar, Oksana Guba, Walter M. Hannah, Dalei Hao, Xianglei Huang, Nicole Jeffery, Hyun‐Gyu Kang, Noel D. Keen, Hsiang‐He Lee, Jiwoo Lee, Xiaohong Liu, Azamat Mametjanov, Johannes Mülmenstädt, Mark R. Petersen, Michael J. Prather, Stephen F. Price, Yun Qian, Andrew G. Salinger, Sean P. Santos, Yunpeng Shan, Balwinder Singh, Katherine M. Smith, Xiaoliang Song, Sarat Sreepathi, Adrian K. Turner, Tom Vo, Hui Wan, Mingxuan Wu, Wandi Yu, Charles S. Zender, Xubin Zeng, Guang J. Zhang, Meng Zhang, Tao Zhang, Yuying Zhang, Renata B. McCoy, Mark A. Taylor, L. Ruby Leung, Peter M. Caldwell, David C. Bader   +77 more
wiley   +1 more source

Impacts of Mean State Ocean Heat Transport on Climate and Its Response to CO2 Forcing

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Simulations of the slab ocean configuration of the coupled Energy Exascale Earth System Model (E3SM) were used to isolate the role of poleward ocean heat transport (OHT) in shaping the climate and its response to CO2 forcing. Imposed changes to mean‐state OHT produce compensating changes in atmospheric heat transport (AHT) that are mediated by
Qiuxian Li, Jiaxu Zhang, Wei Cheng, Kyle C. Armour, LuAnne Thompson, Oluwayemi A. Garuba, Jian Lu, Bryce E. Harrop   +7 more
wiley   +1 more source

Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model [PDF]

Geoscientific Model Development
Emissions of anthropogenic aerosol and their precursors are often prescribed in global aerosol models. Most of these emissions are spatially heterogeneous at model grid scales.
T. Hassan, K. Zhang, J. Li, B. Singh, S. Zhang, H. Wang, P.-L. Ma   +6 more
doaj   +1 more source