MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ...
MOVE/MRI.COM-JPN Dataset is the dataset produced by an ocean data assimilation system developed by Meteorological Research Institute, Japan Meteorological Agency. This dataset represents the ocean states around Japan with a horizontal resolution of 2 km. Variables * Daily mean - 3D: Zonal velocity,...
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Data Integration and Analysis System (DIAS)
2021
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| Online Access: | https://dx.doi.org/10.20783/dias.639 https://search.diasjp.net/en/dataset/MOVEJPN_MRI_2020 |
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ftdatacite:10.20783/dias.639 2023-05-15T18:18:10+02:00 MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... Meteorological Research Institute 2021 https://dx.doi.org/10.20783/dias.639 https://search.diasjp.net/en/dataset/MOVEJPN_MRI_2020 unknown Data Integration and Analysis System (DIAS) If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. [Disclaimer] If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/terms/) apply. [Acknowledgement] If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well. " In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. " If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply. [Policies by the Data Integration and Analysis sytem (DIAS) and other Projects] MOVE/MRI.COM-JPN Dataset, which was produced by an ocean data assimilation system developed by Meteorological Research Institute, Japan Meteorological Agency - Users shall register their name, affiliation, email address and purpose of use before access to this dataset will be permitted - Users shall not download or use this dataset in whole or in part without express consent from the Japan Meteorological Agency (JMA). - Users shall not use this dataset for any commercial, advertising, or marketing purposes. - Users shall not provide the content of this dataset to third parties. - In the event of using this dataset in an academic presentation, paper, article, or report, etc., users shall cite "MOVE/MRI.COM-JPN Dataset, which was produced by an ocean data assimilation sy dataset Dataset 2021 ftdatacite https://doi.org/10.20783/dias.639 2023-04-03T17:38:24Z MOVE/MRI.COM-JPN Dataset is the dataset produced by an ocean data assimilation system developed by Meteorological Research Institute, Japan Meteorological Agency. This dataset represents the ocean states around Japan with a horizontal resolution of 2 km. Variables * Daily mean - 3D: Zonal velocity, Meridional Velocity, Temperature, Salinity - 2D: Sea surface height, Sea level pressure, Tide height of 8 tidal components, Sea ice concentration - 1D: Global mean sea level pressure * 30-minutes snapshot (only sea surface) - 2D: Zonal velocity, Meridional Velocity, Temperature Calculation method of sea surface height derived from ocean variations (SSH_ocean) * SSH_ocean = Sea surface height - (Inverted barometer response) - (Tidal height of 8 tidal components) * Inverted barometer response assumes -1[cm/hPa]* SLPa[hPa] * SLPa = Global mean sea level pressure - Sea level pressure ... Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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unknown |
| description |
MOVE/MRI.COM-JPN Dataset is the dataset produced by an ocean data assimilation system developed by Meteorological Research Institute, Japan Meteorological Agency. This dataset represents the ocean states around Japan with a horizontal resolution of 2 km. Variables * Daily mean - 3D: Zonal velocity, Meridional Velocity, Temperature, Salinity - 2D: Sea surface height, Sea level pressure, Tide height of 8 tidal components, Sea ice concentration - 1D: Global mean sea level pressure * 30-minutes snapshot (only sea surface) - 2D: Zonal velocity, Meridional Velocity, Temperature Calculation method of sea surface height derived from ocean variations (SSH_ocean) * SSH_ocean = Sea surface height - (Inverted barometer response) - (Tidal height of 8 tidal components) * Inverted barometer response assumes -1[cm/hPa]* SLPa[hPa] * SLPa = Global mean sea level pressure - Sea level pressure ... |
| format |
Dataset |
| author |
Meteorological Research Institute |
| spellingShingle |
Meteorological Research Institute MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... |
| author_facet |
Meteorological Research Institute |
| author_sort |
Meteorological Research Institute |
| title |
MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... |
| title_short |
MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... |
| title_full |
MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... |
| title_fullStr |
MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... |
| title_full_unstemmed |
MOVE/MRI.COM-JPN Dataset ... : MOVE-JPN 2020 ... |
| title_sort |
move/mri.com-jpn dataset ... : move-jpn 2020 ... |
| publisher |
Data Integration and Analysis System (DIAS) |
| publishDate |
2021 |
| url |
https://dx.doi.org/10.20783/dias.639 https://search.diasjp.net/en/dataset/MOVEJPN_MRI_2020 |
| genre |
Sea ice |
| genre_facet |
Sea ice |
| op_rights |
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. [Disclaimer] If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/terms/) apply. [Acknowledgement] If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well. " In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. " If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply. [Policies by the Data Integration and Analysis sytem (DIAS) and other Projects] MOVE/MRI.COM-JPN Dataset, which was produced by an ocean data assimilation system developed by Meteorological Research Institute, Japan Meteorological Agency - Users shall register their name, affiliation, email address and purpose of use before access to this dataset will be permitted - Users shall not download or use this dataset in whole or in part without express consent from the Japan Meteorological Agency (JMA). - Users shall not use this dataset for any commercial, advertising, or marketing purposes. - Users shall not provide the content of this dataset to third parties. - In the event of using this dataset in an academic presentation, paper, article, or report, etc., users shall cite "MOVE/MRI.COM-JPN Dataset, which was produced by an ocean data assimilation sy |
| op_doi |
https://doi.org/10.20783/dias.639 |
| _version_ |
1766194627627450368 |