Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Pavel Tkalich"'
Publikováno v:
Geosciences, Vol 14, Iss 10, p 251 (2024)
The low-frequency sea level variability in the South China Sea (SCS) is examined using high-resolution regional ocean model simulations that span the last six decades. The analysis reveals interdecadal oscillations with a periodicity of 12–13 years
Externí odkaz:
https://doaj.org/article/85b5fa6921b6431ea34bf75183c9949a
Publikováno v:
Scientia Marina, Vol 83, Iss 2, Pp 111-120 (2019)
The rise and fall of mean sea level are non-uniform around the global oceans. Their long-term regional trend and variability are intimately linked to the fluctuations and changes in the climate system. In this study, geographical patterns of sea leve
Externí odkaz:
https://doaj.org/article/f1db8cf3d41d4fa89370121dd1f80b4b
Resolving the regional ocean circulation is a key factor in the understanding of climate-driven oceanic variability. Accurate sea level simulation, in the areas at the interface between land and ocean, could help to mitigate the environmental, social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dfab54ba195d6ae011d2a421ddf36a6
https://doi.org/10.5194/egusphere-egu23-10629
https://doi.org/10.5194/egusphere-egu23-10629
Publikováno v:
Journal of Physics: Conference Series. 2311:012023
Efficient forecasting models of coastal currents are required for the predictive control of smart vessels with autonomous or remote operating capabilities. Accurate physics-based numerical models demand computational resources that often are unavaila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::168e38d1d2b730c07fbe8018c7cc30f3
https://doi.org/10.1088/1742-6596/2311/1/012023
https://doi.org/10.1088/1742-6596/2311/1/012023
Autor:
Xiang-Yu Huang, Rajesh Kumar, Pavel Tkalich, Claudio Sanchez, Boon Chong Peter Heng, Jianyu Liu, Bijoy Thompson
This article describes the development and ocean forecast evaluation of an atmosphere-ocean coupled prediction system for the Maritime Continent (MC) domain, which includes the eastern Indian and western Pacific Oceans. The coupled system comprises r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f8ff3d67a57f87b271ab11ee659aa64
https://gmd.copernicus.org/preprints/gmd-2020-326/
https://gmd.copernicus.org/preprints/gmd-2020-326/
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
In this work, we present the implementation and validation of a fine-resolution multigrid wind-wave model system based on WAVEWATCH-III running at the National Super Computer Centre (NSCC) in Singapore. The model includes a 0.83km and 2.00km resoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0267dafc99663fc0bcf759280e61c24
https://doi.org/10.1109/ieeeconf38699.2020.9389087
https://doi.org/10.1109/ieeeconf38699.2020.9389087
Publikováno v:
The South China Sea Arbitration. :128-153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8df7d9a4944293c0d920a01bb6a3f3a2
https://doi.org/10.4337/9781788116275.00015
https://doi.org/10.4337/9781788116275.00015
Autor:
Xiang-Yu Huang, Bijoy Thompson, Jianyu Liu, Pavel Tkalich, Claudio Sanchez, Guiting Song, Xiangming Sun
Publikováno v:
Climate Dynamics. 52:3951-3981
The article describes the configuration and preliminary assessment of a high-resolution atmosphere–ocean coupled model developed for the western Maritime Continent (MC). Regional configurations of the UK Met Office Unified Model (MetUM) and the Nuc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88538a53fcac7028e5c26170791384e5
https://doi.org/10.1007/s00382-018-4367-0
https://doi.org/10.1007/s00382-018-4367-0
Publikováno v:
Remote Sensing Letters. 9:497-506
Satellite remote sensing has provided an unprecedented opportunity to understand the spatio-temporal change of the Earth’s climate system. In this study, we take advantage of the oceanographic sate...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9769f5647e6378a6294c40ef70777cf
https://doi.org/10.1080/2150704x.2018.1437291
https://doi.org/10.1080/2150704x.2018.1437291
Publikováno v:
Theoretical and Applied Climatology. 132:375-385
Having great impacts on human lives, global warming and associated sea level rise are believed to be strongly linked to anthropogenic causes. Statistical approach offers a simple and yet conceptually verifiable combination of remotely connected clima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95be95603580ddf7f3132ce6489b4f7c
https://doi.org/10.1007/s00704-017-2039-3
https://doi.org/10.1007/s00704-017-2039-3