Iterative integration of deep learning in hybrid Earth surface system modelling
Earth system modelling (ESM) is essential for understanding past, present and future Earth
processes. Deep learning (DL), with the data-driven strength of neural networks, has …
processes. Deep learning (DL), with the data-driven strength of neural networks, has …
[HTML][HTML] Forecasting global climate drivers using Gaussian processes and convolutional autoencoders
J Donnelly, A Daneshkhah, S Abolfathi - Engineering Applications of …, 2024 - Elsevier
Abstract Machine learning (ML) methods have become an important tool for modelling and
forecasting complex high-dimensional spatiotemporal datasets such as those found in …
forecasting complex high-dimensional spatiotemporal datasets such as those found in …
AMIP simulation with the CAM4 spectral element dynamical core
The authors evaluate the climate produced by the Community Climate System Model,
version 4, running with the new spectral element atmospheric dynamical core option. The …
version 4, running with the new spectral element atmospheric dynamical core option. The …
The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and …
A Will, N Akhtar, J Brauch, M Breil… - Geoscientific model …, 2017 - gmd.copernicus.org
We developed a coupled regional climate system model based on the CCLM regional
climate model. Within this model system, using OASIS3-MCT as a coupler, CCLM can be …
climate model. Within this model system, using OASIS3-MCT as a coupler, CCLM can be …
Analyzing major renewable energy sources and power stability in Taiwan by 2030
MT Chuang, SY Chang, TC Hsiao, YR Lu, TY Yang - Energy Policy, 2019 - Elsevier
The aim of this study is to assess the offshore wind and solar power and to determine
whether the future power supply in Taiwan will be stable. The estimated annual offshore …
whether the future power supply in Taiwan will be stable. The estimated annual offshore …
HOMMEXX 1.0: a performance-portable atmospheric dynamical core for the Energy Exascale Earth System Model
L Bertagna, M Deakin, O Guba… - Geoscientific Model …, 2019 - gmd.copernicus.org
We present an architecture-portable and performant implementation of the atmospheric
dynamical core (High-Order Methods Modeling Environment, HOMME) of the Energy …
dynamical core (High-Order Methods Modeling Environment, HOMME) of the Energy …
Optimization-based limiters for the spectral element method
We introduce a new family of optimization based limiters for the h–p spectral element
method. The native spectral element advection operator is oscillatory, but due to its mimetic …
method. The native spectral element advection operator is oscillatory, but due to its mimetic …
[HTML][HTML] The role of clouds in modulating global aerosol direct radiative effects in spaceborne active observations and the Community Earth System Model
Observational benchmarks of global and regional aerosol direct radiative effects, over all
surfaces and all sky conditions, are generated using CloudSat's new multisensor radiative …
surfaces and all sky conditions, are generated using CloudSat's new multisensor radiative …
Security test generation using threat trees
A Marback, H Do, K He… - 2009 ICSE Workshop …, 2009 - ieeexplore.ieee.org
Software security issues have been a major concern to the cyberspace community, so a
great deal of research on security testing has been performed, and various security testing …
great deal of research on security testing has been performed, and various security testing …
Computational performance of the high-resolution atmospheric model FAMIL
Z Lin-Jiong, L Yi-Min, B Qing, Y Hai-Yang… - … and Oceanic Science …, 2012 - Taylor & Francis
This paper describes the model speed and model In/Out (I/O) efficiency of the high-
resolution atmospheric general circulation model FAMIL (Finite-volume Atmospheric Model …
resolution atmospheric general circulation model FAMIL (Finite-volume Atmospheric Model …