Zobrazeno 1 - 10
of 31
pro vyhledávání: '"John Clyne"'
Publikováno v:
Atmosphere, Vol 10, Iss 9, p 488 (2019)
Visualization is an essential tool for analysis of data and communication of findings in the sciences, and the Earth System Sciences (ESS) are no exception. However, within ESS, specialized visualization requirements and data models, particularly for
Externí odkaz:
https://doaj.org/article/31135d9ff15246cf82aa39d6d8db9ea9
Publikováno v:
The International Journal of High Performance Computing Applications. 36:337-355
The NCAR Command Language (NCL) is a popular scripting language used in the geoscience community for weather data analysis and visualization. Hundreds of years of data are analyzed daily using NCL to make accurate weather predictions. However, due to
Autor:
Samuel Li, John Clyne
Much of the research in lossy data compression has focused on minimizing the average error for a given storage budget. For scientific applications, the maximum point-wise error is often of greater interest than the average error. This paper introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c927cffa21b32643985ee43bc0da6db0
https://doi.org/10.5194/egusphere-egu22-946
https://doi.org/10.5194/egusphere-egu22-946
Publikováno v:
Proceedings of the Python in Science Conference.
Publikováno v:
Mathematics and Visualization ISBN: 9783030816261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dea8ef623f2e957ed3293e877cd04976
https://doi.org/10.1007/978-3-030-81627-8_3
https://doi.org/10.1007/978-3-030-81627-8_3
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Computer Graphics Forum. 37:422-447
Publikováno v:
ISAV@SC
In situ compression is a compromise between traditional post hoc and emerging in situ visualization and analysis. While the merits and limitations of various compressor options have been well studied, their performance impacts on scientific simulatio
Publikováno v:
CLUSTER
Data reduction through compression is emerging as a promising approach to ease I/O costs for simulation codes on supercomputers. Typically, this compression is achieved by techniques that operate on individual time slices. However, as simulation code
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319676296
ISC Workshops
ISC Workshops
Earth System Model (ESM) simulations are increasingly constrained by the amount of data that they generate rather than by computational resources. The use of lossy data compression on model output can reduce storage costs and data transmission overhe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e20eb911c4d9a5aa32d940b27568edf
https://doi.org/10.1007/978-3-319-67630-2_3
https://doi.org/10.1007/978-3-319-67630-2_3