Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hai-Bo Bi"'
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 4, Pp 584-595 (2024)
Numerical models serve as an essential tool to investigate the causes and effects of Arctic sea ice changes. Evaluating the simulation capabilities of the most recent CMIP6 models in sea ice volume flux provides references for model applications and
Externí odkaz:
https://doaj.org/article/f1750f1e97bf41c5b8a03a7d997e7bd1
Publikováno v:
Applied Mechanics and Materials. 532:545-548
This paper simulate the mode of metal transfer in MIG magnetic control welding by using CFD software FLUENT, establishing mathematical model based on fluid dynamics and electromagnetic theory, and simulate the form, grow and drop process of metal tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92e1c8e4fcb7d2625e6d219b97ed7091
https://doi.org/10.4028/www.scientific.net/amm.532.545
https://doi.org/10.4028/www.scientific.net/amm.532.545
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 32(11)
The refractive index of sea ice in the polar region is an important geophysical parameter. It is needed as a vital input for some numerical climate models and is helpful to classifying sea ice types. In the present study, according to Hong Approximat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0e96efa9de2745b8120778caf4aef5c5
https://pubmed.ncbi.nlm.nih.gov/23387184
https://pubmed.ncbi.nlm.nih.gov/23387184
Autor:
Hai-bo, Bi, Shuang-shuang, Li
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 32(4)
Temporal mixture analysis (TMA) is deduced from spectral mixture analysis (SMA). They are algebraically identical except for that TMA is applied to temporal spectra and thus can extract the temporal characteristics of features. The ice concentration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::27d6f738e9b260d5ff8d84b46bd726a1
https://pubmed.ncbi.nlm.nih.gov/22715779
https://pubmed.ncbi.nlm.nih.gov/22715779