Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Baogang JIN"'
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
The seasonality of eddy kinetic energy (EKE) is analyzed in the north Indian Ocean by adopting high-resolution ocean reanalysis data. Significant eddy energy can be mainly spotted in six regions, including the Somali Current (SC) region, the Gulf of
Externí odkaz:
https://doaj.org/article/e1c4d809ba30462d90e09ee612dccf1b
Publikováno v:
Information, Vol 13, Iss 12, p 577 (2022)
The multi-model ensemble (MME) forecast for meteorological elements has been proved many times to be more skillful than the single model. It improves the forecast quality by integrating multiple sets of numerical forecast results with different spati
Externí odkaz:
https://doaj.org/article/4a6d1280846440b598785783f2d636e2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5682-5693 (2020)
Principal component analysis (PCA) and its variations are still the primary tool for feature extraction (FE) in the remote sensing community. This is unfortunate, as there has been a strong argument against using PCA for this purpose due to its inher
Externí odkaz:
https://doaj.org/article/625884fd3c88409dab76ccd701bfd1dd
Publikováno v:
暴雨灾害, Vol 38, Iss 5, Pp 472-482 (2019)
The short-range numerical weather prediction model has been developed as a tool to forecast the torrential rainfall since it has the capability to describe the dynamic convergence, fundamental physics and the real topography reasonably when the horiz
Externí odkaz:
https://doaj.org/article/44ebdcdb9ae94f2d8f7e8b59a6965e99
Publikováno v:
Future Internet, Vol 14, Iss 6, p 171 (2022)
The accurate prediction of sea surface temperature (SST) is the basis for our understanding of local and global climate characteristics. At present, the existing sea temperature prediction methods fail to take full advantage of the potential spatial
Externí odkaz:
https://doaj.org/article/14e7cf0876954f7f859453fe108de3e0
Publikováno v:
Ocean Science, Vol 7, Iss 5, Pp 661-669 (2011)
Cyclonic and anticyclonic eddies from large scale to submesoscale in the northern South China Sea (NSCS) have been statistically characterized based on the satellite-tracked Lagrangian drifters using our developed geometric eddy identification method
Externí odkaz:
https://doaj.org/article/bc53d84f7224416eaa8fc4857b86e97c
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
In global climate researches, marine ecosystem researches, and ocean-related applications, it is of considerable significance to accurately observe and predict sea surface temperature (SST). However, various physical and environmental factors affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e33121f1398c2419d522f0289dec30e
https://doi.org/10.1109/lgrs.2021.3049406
https://doi.org/10.1109/lgrs.2021.3049406
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Sea surface height (SSH) prediction is theoretically and practically significant for global and regional ocean-related research. Numerous studies have been conducted to acquire accurate prediction results. However, most investigations on SSH ignore t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d6132ee1ea0f4afa1ee324221ed38bc
https://doi.org/10.1109/lgrs.2020.3039062
https://doi.org/10.1109/lgrs.2020.3039062
Publikováno v:
Remote Sensing Letters. 12:478-487
Sea surface temperature (SST) prediction plays an important role in planning marine operations and forecasting climate. With the rapid development of remote sensing technology, there are plenty of ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da3736f8f5af6095e5e404c20325559
https://doi.org/10.1080/2150704x.2021.1897182
https://doi.org/10.1080/2150704x.2021.1897182
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5682-5693 (2020)
Principal component analysis (PCA) and its variations are still the primary tool for feature extraction (FE) in the remote sensing community. This is unfortunate, as there has been a strong argument against using PCA for this purpose due to its inher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49b4937a6f2a9692c4f42a232d9aa150
https://ieeexplore.ieee.org/document/9198067/
https://ieeexplore.ieee.org/document/9198067/