Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Youmin Tang"'
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract The Atlantic Niño has attracted considerable attention due to its profound climatic impacts. It has been reported that the strength of Atlantic Niño has been weakening since 2000, but it is not clear whether it would lead to a change in At
Externí odkaz:
https://doaj.org/article/6dec17790e134333945d68fd268bb404
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 12, Pp n/a-n/a (2024)
Abstract Rapid intensification (RI) of tropical cyclones (TCs) not only plays a crucial role in the development of major TCs but also poses great challenges to operational forecasting. Previous studies predominantly focused on RI over 24‐hr periods
Externí odkaz:
https://doaj.org/article/20244b2ab40641a489230ccc54228f17
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 5, Pp n/a-n/a (2024)
Abstract We propose a unified statistical method based on deep learning and heatmap analysis to quantify the relative contributions of the global oceans to El Niño–Southern Oscillation (ENSO) predictability. By incorporating subsurface signals in
Externí odkaz:
https://doaj.org/article/523108d184e3406ea731d6842ef1ba14
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Rapid intensification (RI) is an essential process in the development of strong tropical cyclones and a major challenge in prediction. RI in offshore regions is more threatening to coastal populations and economies. Although much effort has
Externí odkaz:
https://doaj.org/article/f9786b7e58604de88fb3d76e187de121
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Conventionally, the threat of tropical cyclones (TCs) is often described by TC intensity. However, the damage caused by TCs is also strongly related to our forecasting ability, which is usually low for TCs with high intensification rates. He
Externí odkaz:
https://doaj.org/article/0caae7a9133c40ecb37948f725f6bcdb
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 124032 (2024)
Sea surface temperature anomalies (SSTAs) over the North Atlantic (NA) have a significant impact on the weather and climate in both local and remote regions. This study first evaluated the seasonal prediction skill of NA SSTA using the North American
Externí odkaz:
https://doaj.org/article/d0c8add463204289a9c64a1d3193fc2d
Publikováno v:
Environmental Research Communications, Vol 6, Iss 3, p 031005 (2024)
Using wind reanalysis dataset, we propose a definition for easterly wind bursts (EWBs) occurring in the Indian Ocean and analyze their effects on positive Indian Ocean Dipole (pIOD) events. It was found that there were eight pIOD events during the pe
Externí odkaz:
https://doaj.org/article/d4b18a78c63e4d0887c4b32e28aed248
Publikováno v:
Water, Vol 15, Iss 18, p 3185 (2023)
Fish collection and transportation facilities have been widely constructed as man-made passages that allow fish to bypass dams. These facilities usually provide proper conditions that attract and gather fish inside, and then transport them upstream o
Externí odkaz:
https://doaj.org/article/e22638fae5f3491fa43e9b4c497b3d61
Autor:
Meiyi Hou, Youmin Tang
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
The new emerging type of El Niño brings challenges to the state-of-the-art coupled models to simulated features of El Niño - Southern Oscillation (ENSO) diversity. The Coupled Model Intercomparison Project (CMIP), containing the advanced worldwide
Externí odkaz:
https://doaj.org/article/7bb818ce8ffa422e865f8b2780b914ad
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 762 (2023)
Model error is an important source of uncertainty that significantly reduces the accuracy of El Niño–Southern Oscillation (ENSO) prediction. In this study, ensemble coupled data assimilation was employed to estimate the tendency error of the fifth
Externí odkaz:
https://doaj.org/article/1ee532c8b8dd4278b3462f454e976ecb