Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jose M. Gonzalez-Ondina"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 7, p 1333 (2023)
Residence time is an important parameter linked to the water quality in an estuary. In this paper, we identify and analyze the main processes that affect the residence time of the Caloosahatchee River Estuary, a micro-tidal and mixed diurnal-semidiur
Externí odkaz:
https://doaj.org/article/edcbc883f4b241d69062198b07d1d0c9
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 2, p 363 (2023)
This study compares the skills of two numerical models at the same horizontal resolution but based on different principles in representing meso- and sub-mesoscale ocean features. The first model, titled LD20-NEMO, was based on solving primitive equat
Externí odkaz:
https://doaj.org/article/23702897402e425e96cb580a5f9fda23
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 11, p 1579 (2022)
This study presents the Relocatable Operational Ocean Model (ReOMo), which can be used as a Crisis Ocean Modelling System in any region of the global ocean that is free from ice. ReOMo can be quickly nested into an existing coarser resolution (parent
Externí odkaz:
https://doaj.org/article/f25320347fe04bdf8f095ea42055c444
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 3, p 432 (2022)
A simple and computationally efficient method is presented for creating a high-resolution regional (child) model nested within a coarse-resolution, good-quality data-assimilating (parent) model. The method, named Nesting with Downscaling and Data Ass
Externí odkaz:
https://doaj.org/article/b49bff5f5695420ca9d2164b4b4444fd
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 12, p 1461 (2021)
Data assimilation methods are an invaluable tool for operational ocean models. These methods are often based on a variational approach and require the knowledge of the spatial covariances of the background errors (differences between the numerical mo
Externí odkaz:
https://doaj.org/article/632fcdf4c78f441a967cbad4c129fa79
Publikováno v:
European Journal of Mechanics - B/Fluids. 92:132-142
Autor:
Mohammed Salim Poovadiyil, Jose M. Gonzalez Ondina, Jiada Tu, Muhammad Asif, Georgy I. Shapiro
According to Food and Agriculture Organization (FAO), the fisheries sector is a major contributor to coastal economy, ensuring nutritional security and generating employment opportunities is the central Indian Ocean covering Lakshadweep (India), Mald
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dde676b8fec6cbc68478abd9df39ebf
https://doi.org/10.5194/egusphere-egu22-656
https://doi.org/10.5194/egusphere-egu22-656
Variational data assimilation methods are an invaluable tool for operational ocean models. These methods require the knowledge of the spatial covariances of the background errors (differences between the numerical model and the true values) and the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bb522e5e1ec7e12372f50f0464b1f57
https://doi.org/10.5194/egusphere-egu22-636
https://doi.org/10.5194/egusphere-egu22-636
Publikováno v:
Journal of Marine Science and Engineering
Volume 11
Issue 2
Pages: 363
Volume 11
Issue 2
Pages: 363
This study compares the skills of two numerical models having the same horizontal resolution but based on different principles in representing meso- and submesoscale features of ocean dynamics in the Lakshadweep Sea (North Indian Ocean). The first mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f75a007377f2cfc5ed3af2ae12c5e478
An effective and computationally efficient method is presented for data assimilation in a high-resolution (child) ocean model, which is nested into a coarse-resolution good quality data assimilating (parent) model. The method named Data Assimilation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e89507f91d1212cd4cc5223e8d61f89d
https://os.copernicus.org/preprints/os-2021-77/
https://os.copernicus.org/preprints/os-2021-77/