Zobrazeno 1 - 10
of 877
pro vyhledávání: '"ensemble forecast"'
Publikováno v:
International Journal of Contemporary Hospitality Management, 2024, Vol. 36, Issue 8, pp. 2728-2751.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCHM-08-2023-1275
Autor:
Lifeng ZHANG
Publikováno v:
暴雨灾害, Vol 43, Iss 3, Pp 243-254 (2024)
Heavy rainfall is an important weather that causes flood disasters, and it is also one of the most important natural disasters in our country. With development of the high-resolution numerical models, numerical weather prediction has been the main me
Externí odkaz:
https://doaj.org/article/6bb87e4492144a7f9091482631e69227
Publikováno v:
Geoscience Letters, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Under the proposal of “seamless forecasting”, it has become a key problem for meteorologists to improve the skills of subseasonal forecasts. Since the launch of the subseasonal-to-seasonal (S2S) plan by WMO, the precision of model predic
Externí odkaz:
https://doaj.org/article/b31ee16379ad4578abb9e53efa4bd823
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
IntroductionAssimilating all available observations in numerical models may lead to deterioration of the analysis. Ensemble Forecast Sensitivity to Observations (EFSO) is a method that helps to identify all such observations which benefit the analyse
Externí odkaz:
https://doaj.org/article/56eea938f2804bdbaafb1982ba45706e
Publikováno v:
Climate, Vol 12, Iss 6, p 83 (2024)
Seasonal climate predictions can assist with timely preparations for extreme episodes, such as dry or wet periods that have associated additional risks of droughts, fires and challenges for water management. Timely warnings for extreme warm summers o
Externí odkaz:
https://doaj.org/article/808dc048f6e94a1fa830d88dec045390
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
Autor:
Lianglü CHEN, Song GAO
Publikováno v:
暴雨灾害, Vol 42, Iss 2, Pp 160-169 (2023)
In order to understand more comprehensively the ensemble forecast results of rainfall with the convective scale ensemble prediction system and thus to further recommend them to the weather forecasters, this study carried out the analysis of the forec
Externí odkaz:
https://doaj.org/article/87014cca0a4e4d59beb389b50a9731bf
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 20, Pp n/a-n/a (2023)
Abstract Ensemble Forecast Sensitivity to Observation (EFSO) is a technique that can efficiently identify the beneficial/detrimental impacts of every observation in ensemble‐based data assimilation (DA). While EFSO has been successfully employed on
Externí odkaz:
https://doaj.org/article/8d74cc9ccd4745eeb949963dc59592f3
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
An extremely heavy rainfall with dual rainbands occurred in the Fujian province on 22 May 2014, causing severe disasters in Fujian. In order to investigate the key forecasting factors and the predictability of this case, the evaluation and sensitivit
Externí odkaz:
https://doaj.org/article/a0089a3279ef46a79041dc4f29c03471