Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Luying Ji"'
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Air pollution is of high relevance to human health. In this study, multiple machine-learning (ML) models—linear regression, random forest (RF), AdaBoost, and neural networks (NNs)—were used to explore the potential impacts of air-pollutant concen
Externí odkaz:
https://doaj.org/article/9205fb2c63654d29a4c0206da1bf2647
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Ensemble prediction systems (EPSs) serve as a popular technique to provide probabilistic precipitation prediction in short- and medium-range forecasting. However, numerical models still suffer from imperfect configurations associated with data assimi
Externí odkaz:
https://doaj.org/article/5d7a7821092344d2a802a298260b51b9
Autor:
Luying Ji, Xiefei Zhi, Bernd Schalge, Klaus Stephan, Zhifang Wu, Chong Wu, Clemens Simmer, Shoupeng Zhu
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
In this study, the high-resolution ensemble prediction system COSMO (Consortium for Small Scale) EPS is used to predict the extreme rainstorm that occurred from 27 to 31 August 2018 in Guangdong Province, China, which leads to intensities exceeding h
Externí odkaz:
https://doaj.org/article/663e13f2ee3240b7adf751417bfe44f5
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
In this study, subseasonal precipitation forecast skills over Maritime Continent in boreal summer are investigated for the ECMWF and CMA models involved in the S2S Project. Results indicate that the ECMWF model shows generally superior forecast perfo
Externí odkaz:
https://doaj.org/article/c04910149ff24271931201ea592d93fb
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 253 (2021)
Bayesian model averaging (BMA) and ensemble model output statistics (EMOS) were used to improve the prediction skill of the 500 hPa geopotential height field over the northern hemisphere with lead times of 1–7 days based on ensemble forecasts from
Externí odkaz:
https://doaj.org/article/560fdc94064e4e87849d9538b03e7169
Publikováno v:
Atmosphere, Vol 11, Iss 8, p 823 (2020)
The extended range temperature prediction is of great importance for public health, energy and agriculture. The two machine learning methods, namely, the neural networks and natural gradient boosting (NGBoost), are applied to improve the prediction s
Externí odkaz:
https://doaj.org/article/d279a0e9806c4da7b4eeae7c02757bcf
Autor:
Fei Ge, Shoupeng Zhu, Ting Peng, Yong Zhao, Frank Sielmann, Klaus Fraedrich, Xiefei Zhi, Xiaoran Liu, Weiwei Tang, Luying Ji
Publikováno v:
Environmental Research Letters, Vol 14, Iss 4, p 044015 (2019)
Guided by the target of the Paris Agreement of 2015, it is fundamental to identify regional climate responses to global warming of different magnitudes for Southeast Asia (SEA), a tropical region where human society is particularly vulnerable to clim
Externí odkaz:
https://doaj.org/article/9b6bc823e91f4f5daf02b8ad058e150e
Publikováno v:
Monthly Weather Review. Jun2020, Vol. 148 Issue 6, p2591-2606. 16p.
Autor:
Shuang Yang, Yixiu Zhao, Xiaoling Cheng, Tingting Zhan, Jiaying Tian, Xue Liu, Chunyue Ma, Zhiqi Wang, Luying Jin, Qian Liu, Yanli Wang, Jian Huang, Jinhui Wang, Yan Zhang, Baofeng Yang
Publikováno v:
Engineering, Vol 38, Iss , Pp 133-143 (2024)
Myocardial ischemia is a serious threat to human health, and vascular dysfunction is its main cause. Buxu Tongyu (BXTY) Granule is an effective traditional Chinese medicine (TCM) for treating myocardial ischemia. However, the underlying mechanism of
Externí odkaz:
https://doaj.org/article/0b6e3c3950af4019abfcaed7596f9268
Publikováno v:
International Journal of Cardiology. Cardiovascular Risk and Prevention, Vol 23, Iss , Pp 200347- (2024)
Background: Acute myocardial infarction (AMI) carries a high short-term risk of death, even after percutaneous coronary intervention (PCI). Glucose variability (GV), measured by the glucose coefficient of variation (GluCV), is a potential risk factor
Externí odkaz:
https://doaj.org/article/318b5e0081e346418f427319bc8e93a6