Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lianglyu Chen"'
Autor:
Lianglyu Chen, Yu Xia
Publikováno v:
Meteorological Applications, Vol 31, Iss 1, Pp n/a-n/a (2024)
Abstract Quantiles of precipitation are widely used in ensemble forecast systems. At present, the common practice is to provide precipitation amounts corresponding to different quantiles to users directly, which will make it difficult for users to ex
Externí odkaz:
https://doaj.org/article/1d49d9a84f6a4c318dfc1c1a5f1389e9
Autor:
Lianglyu Chen
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
To comprehensively understand the application progress of ensemble forecast technology in influenza forecast based on infectious disease model, so as to provide scientific references for further research. In this study, two keywords of “influenza
Externí odkaz:
https://doaj.org/article/cc2908c2effc48afacbe5f36b3bc3137
Publikováno v:
Weather and Forecasting. 37:639-658
The Center for Analysis and Prediction of Storms has recently developed capabilities to directly assimilate radar reflectivity and radial velocity data within the GSI-based ensemble Kalman filter (EnKF) and hybrid ensemble three-dimensional variation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1242fb1ffb7279f739c4ad27b8bce56c
https://doi.org/10.1175/waf-d-20-0180.1
https://doi.org/10.1175/waf-d-20-0180.1
Autor:
Huiqi Li, Chengsi Liu, Ming Xue, Jun Park, Lianglyu Chen, Youngsun Jung, Rong Kong, Chong-Chi Tong
Publikováno v:
Monthly Weather Review. 150:821-842
When using a double-moment microphysics scheme, both hydrometeor mixing ratios and number concentrations are part of the state variables that are needed to initialize convective-scale forecasting. In the Thompson microphysics scheme, both mixing rati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34623d9a76c3d1ebb6251f9db74bce07
https://doi.org/10.1175/mwr-d-21-0041.1
https://doi.org/10.1175/mwr-d-21-0041.1
Autor:
Chengsi Liu, Huiqi Li, Ming Xue, Youngsun Jung, Jun Park, Lianglyu Chen, Rong Kong, Chong-Chi Tong
Publikováno v:
Monthly Weather Review. 150:907-926
The assimilation of reflectivity (Z) within 3DVar or hybrid ensemble-3DVar (En3DVar) requires the adjoint of the Z observation operator. With the 3DVar or En3DVar method, previous studies often use Z operators consistent with a single-moment microphy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68712b3a51ff35a41e6afd92e6d06492
https://doi.org/10.1175/mwr-d-21-0040.1
https://doi.org/10.1175/mwr-d-21-0040.1
Autor:
LIANGLYU CHEN1,2, CHENGSI LIU2 cliu@ou.edu, MING XUE2,3, GANG ZHAO2,4, RONG KONG2, YOUNGSUN JUNG2,5
Publikováno v:
Monthly Weather Review. Mar2021, Vol. 149 Issue 3, p645-659. 15p.
Publikováno v:
Monthly Weather Review. 149:645-659
When directly assimilating radar data within a variational framework using hydrometeor mixing ratios (q) as control variables (CVq), the gradient of the cost function becomes extremely large when background mixing ratio is close to zero. This signifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02f5919804b10fb83ca67001afd60e46
https://doi.org/10.1175/mwr-d-20-0149.1
https://doi.org/10.1175/mwr-d-20-0149.1
Publikováno v:
Journal of Meteorological Research. 34:400-412
Hybrid data assimilation combines a conventional 3-D or 4-D variational system with background error covariance (BEC) generated from ensemble forecast systems. In order to achieve better BEC, three perturbation schemes, namely, the random combination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad071d1e3674ed60aae217079013ed50
https://doi.org/10.1007/s13351-020-9088-8
https://doi.org/10.1007/s13351-020-9088-8