MODIS-based Monthly Dataset of POC Flux in the Bottom of the Global Ocean Euphotic Layer (2003-2018)
XIE Futai1ZHOU Xiang1TAO Zui1LV Tingting1WANG Jin1LI Ruoxi1
1 Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100101，China
DOI:10.3974/geodb.2020.09.02.V1
Published:Dec. 2020
Visitors：5385 Data Files Downloaded：569
Data Downloaded：163514.67 MB Citations：
Key Words：
global,ocean,POC,2018,Monthly,Remote Sensing
Abstract：
MODIS-based monthly dataset of POC flux in the bottom of the global ocean euphotic layer (2003-2018) was developed based on the e-ratio data and the NPP data. In which, the e-ratio data was calculated using monthly MODIS sea surface temperature (SST), chlorophyll concentration (Chl) and euphotic zone depth (Zeu) data with the estimation model (Dunne et al. 2005). The dataset is monthly data with a spatial resolution of 9 km. Each data file includes two parameters: poc_flux and pe_ratio, the former is POC flux and the latter is e-ratio. The dataset is archived in .hdf data format, and consists of 192 data files with data size of 13.3 GB (compressed into 16 files, 4.48 GB). The research paper based on this dataset was published in Remote Sensing, Volume 11, Issue 24, 2019.Browse
Foundation Item：
Ministry of Science and Technology of P. R. China (2018YFE0124200)；Chinese Academy of Sciences (2020)
Data Citation：
XIE Futai, ZHOU Xiang, TAO Zui, LV Tingting, WANG Jin, LI Ruoxi. MODIS-based Monthly Dataset of POC Flux in the Bottom of the Global Ocean Euphotic Layer (2003-2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.09.02.V1.
XIE Futai, ZHOU Xiang, TAO Zui, et al. MODIS-based monthly dataset of particulate organic carbon flux in the bottom of the global ocean euphotic layer (2003–2018) [J]. Journal of Global Change Data & Discovery, 2021, 5(1): 11–18. https://doi.org/10.3974/geodp.2021.01.02.
References：
[1] Laws, E. A., et al., Temperature effects on export production in the open ocean. Global Biogeochemical Cycles, 2000. 14(4): p. 1231-1246.
[2] Dunne, J. P., Armstrong, R.A., Gnanadesikan, A., et al. Empirical and mechanistic models for the particle export ratio. Glob. Biogeochem. Cycles 2005, 19.
[3] Tao, Z., Yan, W., Sheng, M., et al. A Phytoplankton Class-Specific Marine Primary Productivity Model Using MODIS Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2017, 10, 5519–5528.
[4] Tao, Z., Zhou, X., Xie, F. T., et al. Time Series of Monthly Global Marine NPP Dataset Based on MODIS and SABPM Model (Since 2003)[DB/OL].Global Change Data Repository,2019.DOI:10.3974/geodb.2019.05.01.V1.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_GlobalMarinePOC_2003-2018.pdf | 1173.00kb | DownLoad |
| 1 |
GlobalMarinePOC_2003.rar |
297544.46KB |
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| 2 |
GlobalMarinePOC_2004.rar |
297247.81KB |
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| 3 |
GlobalMarinePOC_2005.rar |
294817.59KB |
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GlobalMarinePOC_2006.rar |
295015.15KB |
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GlobalMarinePOC_2007.rar |
293279.64KB |
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GlobalMarinePOC_2008.rar |
292932.82KB |
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GlobalMarinePOC_2009.rar |
289377.69KB |
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GlobalMarinePOC_2010.rar |
292613.52KB |
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GlobalMarinePOC_2011.rar |
295651.10KB |
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GlobalMarinePOC_2012.rar |
292601.86KB |
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GlobalMarinePOC_2013.rar |
293983.54KB |
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GlobalMarinePOC_2014.rar |
292858.43KB |
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GlobalMarinePOC_2015.rar |
288016.05KB |
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GlobalMarinePOC_2016.rar |
293867.63KB |
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GlobalMarinePOC_2017.rar |
300637.23KB |
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GlobalMarinePOC_2018.rar |
295006.29KB |
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