Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Bainian Liu"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 11, p 1653 (2022)
The background error variance in variational data assimilation can significantly affect a model’s initial field. Around extreme weather events, the variance of the unbalanced control variables have contributed highly to the total variance. This stu
Externí odkaz:
https://doaj.org/article/05f178cbeaf046a7ab8fdba9ff51436c
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 998 (2022)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/53239c7b06bb4dc985cc1c3df66eac99
Publikováno v:
Advances in Meteorology, Vol 2020 (2020)
The four-dimensional variational data assimilation (4D-Var) method has been widely employed as an operational scheme in mainstream numerical weather prediction (NWP) centers. In addition to the ensemble data assimilation method, the randomization tec
Externí odkaz:
https://doaj.org/article/54d9089296ca4f98bca12bb53dd04dde
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 11, p 1156 (2021)
The covariance matrix estimated from the ensemble data assimilation always suffers from filter collapse because of the spurious correlations induced by the finite ensemble size. The localization technique is applied to ameliorate this issue, which ha
Externí odkaz:
https://doaj.org/article/eea0b9df0d654284901d645c457d31e5
Publikováno v:
Entropy, Vol 23, Iss 10, p 1314 (2021)
The variation of polar vortex intensity is a significant factor affecting the atmospheric conditions and weather in the Northern Hemisphere (NH) and even the world. However, previous studies on the prediction of polar vortex intensity are insufficien
Externí odkaz:
https://doaj.org/article/2c3a7464015a4988bd73992bc6dc2fb6
Publikováno v:
Symmetry, Vol 13, Iss 9, p 1563 (2021)
Mainstream numerical weather prediction (NWP) centers usually estimate the standard deviations of background error by using a randomization technique to calibrate specific parameters of the background error covariance model in variational data assimi
Externí odkaz:
https://doaj.org/article/728cf2558b234507b327600d3349057c
Publikováno v:
Symmetry, Vol 13, Iss 6, p 931 (2021)
The intensity variation of the South Asian high (SAH) plays an important role in the formation and extinction of many kinds of mesoscale systems, including tropical cyclones, southwest vortices in the Asian summer monsoon (ASM) region, and the precip
Externí odkaz:
https://doaj.org/article/bbb6be9dfd4f42b0a6c2f225959c9a4d
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5917 (2020)
The various studies of partial differential equations (PDEs) are hot topics of mathematical research. Among them, solving PDEs is a very important and difficult task. Since many partial differential equations do not have analytical solutions, numeric
Externí odkaz:
https://doaj.org/article/713cae20effc4665b2af8895d0ea9b34
Publikováno v:
Symmetry, Vol 12, Iss 6, p 893 (2020)
El Niño is an important quasi-cyclical climate phenomenon that can have a significant impact on ecosystems and societies. Due to the chaotic nature of the atmosphere and ocean systems, traditional methods (such as statistical methods) are difficult
Externí odkaz:
https://doaj.org/article/43896e9e33ef46adae06da722d5ddfc2
Publikováno v:
Symmetry, Vol 12, Iss 6, p 1056 (2020)
Cloud detection is an important and difficult task in the pre-processing of satellite remote sensing data. The results of traditional cloud detection methods are often unsatisfactory in complex environments or the presence of various noise disturbanc
Externí odkaz:
https://doaj.org/article/e791fd17c05d4922ad8b72880d27064a