Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Analog ensemble"'
Autor:
Simone Sperati, Stefano Alessandrini, Filippo D'Amico, Will Cheng, Christopher M. Rozoff, Riccardo Bonanno, Matteo Lacavalla, Martina Aiello, Davide Airoldi, Alessandro Amaranto, Goffredo Decimi, Milena Angelina Vergata
Publikováno v:
Wind Energy, Vol 27, Iss 3, Pp 298-316 (2024)
Abstract As a contribution to national strategic energy planning, recent developments in meteorological modeling and wind generation technologies have improved the representation of the spatio‐temporal features of wind. This paper describes an upda
Externí odkaz:
https://doaj.org/article/44663d77376c4ba0a0b7f70b64238b01
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract For Paleoclimate data assimilation (PDA), a hybrid gain analog offline ensemble Kalman filter (HGAOEnKF) is proposed. It keeps the benefits of the analog offline ensemble Kalman filter (AOEnKF) that constructs analog ensembles from existing
Externí odkaz:
https://doaj.org/article/4a006093e3a64b52a1fb13afca496189
Publikováno v:
Solar Energy Advances, Vol 4, Iss , Pp 100048- (2024)
Ensemble modeling is a chief strategy for probabilistic forecasting. In weather forecasting, analog ensemble, which operates under the principle that weather patterns often repeat, and dynamical ensemble, which generates equally likely trajectories o
Externí odkaz:
https://doaj.org/article/72eca366d1bc4d919693643c3f41c19e
Autor:
Maki Okada, Koji Yamaguchi, Ryo Kodama, Norimitsu Ogasawara, Hisashi Kato, Van Quang Doan, Noriko N. Ishizaki, Hiroyuki Kusaka
Publikováno v:
Wind Energy, Vol 25, Iss 11, Pp 1900-1916 (2022)
Abstract Ramp phenomena caused by abrupt changes in wind speed may confound the stable operation of correlated electrical power supply systems, yet accurate numerical predictions are challenging, as the wind is affected by complex interactions betwee
Externí odkaz:
https://doaj.org/article/3d01b88ba8924e66b6110ee9a8a440bc
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
暴雨灾害, Vol 41, Iss 4, Pp 467-476 (2022)
Upon the current requirement of the extreme weather forecast and service, we developed two improved prediction schemes (that is, schemeⅠ and scheme Ⅱ) based on the ECMWF-IFS model (EC model) and the model output statistics (MOS) method on the bas
Externí odkaz:
https://doaj.org/article/39a6508b33ec483fb332974ea144456d
Publikováno v:
Energies, Vol 16, Iss 22, p 7630 (2023)
A precise estimate of solar energy output is essential for its efficient integration into the power grid as solar energy becomes a more significant renewable energy source. Contrarily, the creation of solar energy involves fluctuation and uncertainty
Externí odkaz:
https://doaj.org/article/4f8bc04c20db4460990f7cea42361482
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Pengyou Lai, Jingtao Yang, Lexi Liu, Yu Zhang, Zhaoxuan Sun, Zhefan Huang, Duanzhou Shao, Linbin He
Publikováno v:
Atmosphere, Vol 14, Iss 8, p 1223 (2023)
This study aimed to address the significant bias in 0–44-day precipitation forecasts under numerical weather conditions. To achieve this, we utilized observational data obtained from 156 surface stations in the Sichuan region and reanalysis grid da
Externí odkaz:
https://doaj.org/article/9c51a910ac31439a8ac625c3120acccb
Publikováno v:
Computation, Vol 11, Iss 5, p 98 (2023)
The reconstruction or prediction of meteorological records through the Analog Ensemble (AnEn) method is very efficient when the number of predictor time series is small. Thus, in order to take advantage of the richness and diversity of information co
Externí odkaz:
https://doaj.org/article/42526f48f2474dd9b06f82d24f0661dc