Results 11 to 20 of about 14,236,793 (352)

Key Technologies of CMA-MESO and Application to Operational Forecast

应用气象学报, 2022
To meet the requirement of numerical weather prediction for local severe convective weather, especially disastrous weather and extreme weather events, based on GRAPES-MESO 10 km system, many works have been completed, which include improving the ...
Huang Liping, Deng Liantang, Wang Ruichun, Zhuang Zhaorong, Jiang Yuan, Xu Zhifang, Zhu Lijuan, Zhang Jin, Wang Lili, Yu Fei, Sun Qin, Wang Dan, Wang Hao, Zhou Feifei, Xu Guoqiang   +14 more
doaj   +1 more source

Modeling modeling modeling [PDF]

Software & Systems Modeling, 2010
Model-driven engineering and model-based approaches have permeated all branches of software engineering to the point that it seems that we are using models, as Molière's Monsieur Jourdain was using prose, without knowing it. At the heart of modeling, there is a relation that we establish to represent something by something else. In this paper we review
Muller, Pierre-Alain, Fondement, Frédéric, Baudry, Benoit, Combemale, Benoit   +3 more
openaire   +2 more sources

Key Model Technologies of CMA-GFS V4.0 and Application to Operational Forecast

应用气象学报, 2023
To address problems including underestimation of heavy precipitation, rapid decay of synoptic systems and low computational efficiency in operational forecast of CMA-GFS V3.3, some key technologies related to physics and dynamics of the model are ...
Zhang Jin, Sun Jian, Shen Xueshun, Su Yong, Ma Zhanshan, Jing Hao, Liu Qijun, Zhang Hongliang, Jiang Qingu, Chen Fengfeng, Li Zhe, Jin Zhiyan, Wu Xiangjun, Liang Miaoling, Liu Kun   +14 more
doaj   +1 more source

Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics

Nature Communications, 2023
The quantum properties of hydrogen atoms in zeolite-catalyzed reactions are generally neglected due to high computational costs. Here, the authors leverage machine learning to derive accurate quantum kinetics for proton transfer reactions in ...
Massimo Bocus, Ruben Goeminne, Aran Lamaire, Maarten Cools-Ceuppens, Toon Verstraelen, Veronique Van Speybroeck   +5 more
doaj   +1 more source

Machine learning potentials for metal-organic frameworks using an incremental learning approach

npj Computational Materials, 2023
Computational modeling of physical processes in metal-organic frameworks (MOFs) is highly challenging due to the presence of spatial heterogeneities and complex operating conditions which affect their behavior.
Sander Vandenhaute, Maarten Cools-Ceuppens, Simon DeKeyser, Toon Verstraelen, Veronique Van Speybroeck   +4 more
doaj   +1 more source

Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution

Advances in Meteorology, 2022
The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu, Zhihua Zhang, M. James C. Crabbe, Lipon Chandra Das   +3 more
doaj   +1 more source

Empathy and Role Modeling. is IT Missing? [PDF]

, 2020
Let me start by congratulating the dedicated team of Pakistan Journal of Surgery and Medicine (PJSM) whose untiring effort brought this journal of International standard.
Anwar, M. I. (Muhammad)
core   +1 more source

Modeling in the large: model libraries [PDF]

Software and Systems Modeling, 2021
Software and systems modeling (2021).
Jeff Gray 0001, Bernhard Rumpe
openaire   +2 more sources

One size does not fit all: an application of stochastic modeling to estimating primary healthcare needs in Ethiopia at the sub-national level

BMC Health Services Research, 2023
Background Primary healthcare systems require adequate staffing to meet the needs of their local population. Guidelines typically use population ratio targets for healthcare workers, such as Ethiopia’s goal of two health extension workers for every five ...
Brittany L. Hagedorn, Rui Han, Kevin A. McCarthy   +2 more
doaj   +1 more source

A research agenda for malaria eradication: modeling.

PLoS Medicine, 2011
Malaria modeling can inform policy and guide research for malaria elimination and eradication from local implementation to global policy. A research and development agenda for malaria modeling is proposed, to support operations and to enhance the broader
malERA Consultative Group on Modeling
doaj   +1 more source