Results 11 to 20 of about 1,255,092 (268)

Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform [PDF]

Geoscientific Model Development, 2020
With semiconductor technology gradually approaching its physical and thermal limits, recent supercomputers have adopted major architectural changes to continue increasing the performance through more power-efficient heterogeneous many-core systems ...
S. Zhang, S. Zhang, S. Zhang, H. Fu, H. Fu, H. Fu, L. Wu, L. Wu, Y. Li, H. Wang, H. Wang, H. Wang, Y. Zeng, X. Duan, X. Duan, W. Wan, L. Wang, Y. Zhuang, H. Meng, K. Xu, K. Xu, P. Xu, P. Xu, L. Gan, L. Gan, Z. Liu, Z. Liu, S. Wu, Y. Chen, H. Yu, S. Shi, L. Wang, L. Wang, S. Xu, W. Xue, W. Xue, W. Liu, W. Liu, Q. Guo, J. Zhang, G. Zhu, Y. Tu, J. Edwards, J. Edwards, A. Baker, A. Baker, J. Yong, M. Yuan, Y. Yu, Q. Zhang, Q. Zhang, Z. Liu, M. Li, M. Li, M. Li, D. Jia, G. Yang, G. Yang, G. Yang, Z. Wei, J. Pan, P. Chang, P. Chang, G. Danabasoglu, G. Danabasoglu, S. Yeager, S. Yeager, N. Rosenbloom, N. Rosenbloom, Y. Guo   +69 more
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An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change

Journal of Advances in Modeling Earth Systems, 2020
We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐year pre‐industrial control simulation and a 250‐year historical and future climate simulation from 1850 to 2100. A high‐resolution configuration of the Community
Ping Chang, Shaoqing Zhang, Gokhan Danabasoglu, Stephen G. Yeager, Haohuan Fu, Hong Wang, Frederic S. Castruccio, Yuhu Chen, James Edwards, Dan Fu, Yinglai Jia, Lucas C. Laurindo, Xue Liu, Nan Rosenbloom, R. Justin Small, Gaopeng Xu, Yunhui Zeng, Qiuying Zhang, Julio Bacmeister, David A. Bailey, Xiaohui Duan, Alice K. DuVivier, Dapeng Li, Yuxuan Li, Richard Neale, Achim Stössel, Li Wang, Yuan Zhuang, Allison Baker, Susan Bates, John Dennis, Xiliang Diao, Bolan Gan, Abishek Gopal, Dongning Jia, Zhao Jing, Xiaohui Ma, R. Saravanan, Warren G. Strand, Jian Tao, Haiyuan Yang, Xiaoqi Wang, Zhiqiang Wei, Lixin Wu   +43 more
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Wind Waves in the Mediterranean Sea: An ERA5 Reanalysis Wind-Based Climatology

Frontiers in Marine Science, 2021
A climatology of the wind waves in the Mediterranean Sea is presented. The climate patterns, their spatio-temporal variability and change are based on a 40-year (1980–2019) wave hindcast, obtained by combining the ERA5 reanalysis wind forcing with the ...
Francesco Barbariol, Silvio Davison, Francesco Marcello Falcieri, Rossella Ferretti, Rossella Ferretti, Antonio Ricchi, Antonio Ricchi, Mauro Sclavo, Alvise Benetazzo   +8 more
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Prediction Algorithm for State Prediction Model

Journal of Computers, 2012
Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors.
Zili Zhang, Hongwei Song, Yan Li, Hao Yang   +3 more
openaire   +1 more source

HOPE: an arbitrary-order non-oscillatory finite-volume shallow water dynamical core with automatic differentiation [PDF]

Geoscientific Model Development
This study presents the High Order Prediction Environment (HOPE), an automatically differentiable, non-oscillatory finite-volume dynamical core for shallow water equations on the cubed-sphere grid.
L. Zhou, L. Zhou, L. Zhou, W. Xue, X. Shen, X. Shen   +5 more
doaj   +1 more source

Clinical prediction models [PDF]

British Journal of Surgery, 2016
Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
openaire   +3 more sources

Prediction models in urology [PDF]

Nature Clinical Practice Urology, 2007
Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
openaire   +2 more sources

Predictive modeling of complications [PDF]

Current Reviews in Musculoskeletal Medicine, 2016
Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient.
Osorio, Joseph A, Scheer, Justin K, Ames, Christopher P   +2 more
openaire   +4 more sources

Modelling: Predictive yield [PDF]

Nature, 2013
Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
openaire   +2 more sources

Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations [PDF]

Atmospheric Chemistry and Physics, 2018
Online coupled meteorology–chemistry models permit the description of the aerosol–radiation (ARI) and aerosol–cloud interactions (ACIs). The aim of this work is to assess the representation of several cloud properties in regional-scale coupled models ...
R. Baró, R. Baró, P. Jiménez-Guerrero, M. Stengel, D. Brunner, G. Curci, G. Curci, R. Forkel, L. Neal, L. Palacios-Peña, N. Savage, M. Schaap, P. Tuccella, P. Tuccella, H. Denier van der Gon, S. Galmarini   +15 more
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