Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mark Govett"'
Publikováno v:
Monthly Weather Review. 148:4009-4033
A single software framework is introduced to evaluate numerical accuracy of the A-grid (NICAM) versus C-grid (MPAS) shallow-water model solvers on icosahedral grids. The C-grid staggering scheme excels in numerical noise control and total energy cons
Extracting valuable information from large sets of diverse meteorological data is a time-intensive process. Machine learning methods can help improve both speed and accuracy of this process. Specifically, deep learning image segmentation models using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d4da88e808f83c3155ac65d6dfd7478
http://arxiv.org/abs/2005.09056
http://arxiv.org/abs/2005.09056
Autor:
Tom Henderson, Ning Wang, Alexander E. MacDonald, Antonio Duarte, Jim Rosinski, Jacques Middlecoff, Paul Madden, Mark Govett, Julie Schramm, Jin Lee
Publikováno v:
Bulletin of the American Meteorological Society. 98:2201-2213
The design and performance of the Non-Hydrostatic Icosahedral Model (NIM) global weather prediction model is described. NIM is a dynamical core designed to run on central processing unit (CPU), graphics processing unit (GPU), and Many Integrated Core
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
ECML/PKDD (3)
Optimizing the utilization of huge data sets is a challenging problem for weather prediction. To a significant degree, prediction accuracy is determined by the data used in model initialization, assimilated from a variety of observational platforms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4223ecce83ba6f27894a016b115b0a3f
https://doi.org/10.1007/978-3-030-10997-4_4
https://doi.org/10.1007/978-3-030-10997-4_4
Publikováno v:
FUSION
In this paper we present a procedure for labeling both tropical and extratropical cyclones. The procedure is developed based off of a set of strict heuristics for the purpose of creating a worldwide labeled dataset for cyclones. The heuristics are de
Publikováno v:
Parallel Computing. 29:995-1020
A directive-based parallelization tool called the Scalable Modeling System (SMS) is described. The user inserts directives in the form of comments into existing Fortran code. SMS translates the code and directives into a parallel version that runs ef
Publikováno v:
WACCPD@SC
The NIM is a performance-portable model that runs on CPU, GPU and MIC architectures with a single source code. The single source plus efficient code design allows application scientists to maintain the Fortran code, while computer scientists optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520dbf1f546d3a85cdc01e5be027c9a8
Publikováno v:
2011 Symposium on Application Accelerators in High-Performance Computing.
Graphics Processing Units (GPUs) have enabled significant improvements in computational performance compared to traditional CPUs in several application domains. Until recently, GPUs have been programmed using C/C++ based methods such as CUDA (NVIDIA)
Publikováno v:
CCGRID
We are using GPUs to run a new weather model being developed at NOAA’s Earth System Research Laboratory (ESRL). The parallelization approach is to run the entire model on the GPU and only rely on the CPU for model initialization, I/O, and inter-pro