The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files
| Cobertura |
DATE/TIME START: 1980-01-01T00:00:00 * DATE/TIME END: 2014-12-31T23:59:59 |
|---|---|
| Data(s) |
09/02/2016
|
| Resumo |
The CMCC Global Ocean Physical Reanalysis System (C-GLORS) is used to simulate the state of the ocean in the last decades. It consists of a variational data assimilation system (OceanVar), capable of assimilating all in-situ observations along with altimetry data, and a forecast step performed by the ocean model NEMO coupled with the LIM2 sea-ice model. KEY STRENGTHS: - Data are available for a large number of ocean parameters - An extensive validation has been conducted and is freely available - The reanalysis is performed at high resolution (1/4 degree) and spans the last 30 years KEY LIMITATIONS: - Quality may be discontinuos and depend on observation coverage - Uncertainty estimates are simply derived through verification skill scores |
| Formato |
text/tab-separated-values, 3788 data points |
| Identificador |
https://doi.pangaea.de/10.1594/PANGAEA.857995 doi:10.1594/PANGAEA.857995 |
| Idioma(s) |
en |
| Publicador |
PANGAEA |
| Relação |
CMCC Global Ocean Reanalysis System (C-GLORS), external website (URI: http://www.cmcc.it/c-glors) Good, Simon A; Martin, Matthew J; Rayner, Nick A (2013): EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates. Journal of Geophysical Research-Oceans, 118(12), 6704-6716, doi:10.1002/2013JC009067 Madec, Gurvan (2015): NEMO ocean engine. Note du Pole de modélisation de l' Institut Pierre-Simon Laplace, Paris, France, 27, 401 pp, hdl:10013/epic.46840.d001 Markus, Thorsten; Cavalieri, Donald J (2000): An enhancement of the NASA Team sea ice algorithm. IEEE Transactions on Geoscience and Remote Sensing, 38(3), 1387-1398, doi:10.1109/36.843033 Reynolds, Richard W; Smith, Thomas M; Liu, Chunying; Chelton, Dudley B; Casey, Kenneth S; Schlax, Michael G (2007): Daily High-Resolution-Blended analyses for sea surface temperature. Journal of Climate, 20(22), 5473-5496, doi:10.1175/2007JCLI1824.1 Storto, Andrea; Masina, Simona; Navarra, Antonio (2015): Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components. Quarterly Journal of the Royal Meteorological Society, online first, 21 pp, doi:10.1002/qj.2673 Zhang, Jinlun; Rothrock, Drew A (2003): Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates. Monthly Weather Review, 131(5), 845-861, doi:10.1175/1520-0493(2003)131<0845:MGSIWA>2.0.CO;2 All C-GLORS v5 fíles in one zip archive (5.6 GB) (URI: http://hs.pangaea.de/model/C-GLORSv5/C-GLORSv5.zip) |
| Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
| Fonte |
Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy |
| Palavras-Chave | #DATE/TIME; File name; File size; Uniform resource locator/link to file |
| Tipo |
Dataset |
