| PAN Delu,LIU Qiong,BAI Yan. 2014. Review and suggestions for estimating particulate organic carbon and dissolved organic carbon inventories in the ocean using remote sensing data. Acta Oceanologica Sinica, 33(1):1－10 |
| Review and suggestions for estimating particulate organic carbon and dissolved organic carbon inventories in the ocean using remote sensing data |
| Review and suggestions for estimating particulate organic carbon and dissolved organic carbon inventories in the ocean using remote sensing data |
| Received:July 16, 2013 Revised:October 11, 2013 |
| DOI：10.1007/s13131-014-0419-4 |
| Key words:ocean carbon inventory dissolved organic carbon particulate organic carbon remote sensing |
| 中文关键词: ocean carbon inventory dissolved organic carbon particulate organic carbon remote sensing |
| 基金项目:The 973 Program Grant of China under contract No. 2009CB421202; the Public Science and Technology Research Funds Projects of Ocean under contract No. 200905012; the National Natural Science Foundation of China under contract Nos 41271378 and 41271417; 863 Program of China under contract Nos 2007AA092201 and 2008AA09Z104. |
| Author Name | Affiliation | E-mail | | PAN Delu | State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China | pandelu@sio.org.cn | | LIU Qiong | National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China | | | BAI Yan | State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China | |
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| Abstract: |
| Dissolved organic carbon (DOC) and particulate organic carbon (POC) are basic variables for the ocean carbon cycle. Knowledge of the distribution and inventory of these variables is important for a better estimation and understanding of the global carbon cycle. Owing to its considerable advantages in spatial and temporal coverage, remote sensing data provide estimates of DOC and POC inventories,which are able to give a synthetic view for the distribution and transportation of carbon pools. To estimate organic carbon inventories using remote sensing involves integration of the surface concentration and vertical profile models, and the development of these models is critical to the accuracy of estimates. Hence, the distribution and control factors of DOC and POC in the ocean first are briefly summarized, and then studies of DOC and POC inventories and flux estimations are reviewed, most of which are based on field data and few of which consider the vertical distributions of POC or DOC. There is some research on the estimation of POC inventory by remote sensing,mainly in the open ocean, in which three kinds of vertical profilemodels have been proposed: the uniform, exponential decay, and Gauss models. However, research on remote-sensing estimation of the DOC inventory remains lacking. A synthetic reviewof approaches used to estimate the organic carbon inventories is offered and the future development of methods is discussed for such estimates using remote sensing data in coastal waters. |
| 中文摘要: |
| Dissolved organic carbon (DOC) and particulate organic carbon (POC) are basic variables for the ocean carbon cycle. Knowledge of the distribution and inventory of these variables is important for a better estimation and understanding of the global carbon cycle. Owing to its considerable advantages in spatial and temporal coverage, remote sensing data provide estimates of DOC and POC inventories,which are able to give a synthetic view for the distribution and transportation of carbon pools. To estimate organic carbon inventories using remote sensing involves integration of the surface concentration and vertical profile models, and the development of these models is critical to the accuracy of estimates. Hence, the distribution and control factors of DOC and POC in the ocean first are briefly summarized, and then studies of DOC and POC inventories and flux estimations are reviewed, most of which are based on field data and few of which consider the vertical distributions of POC or DOC. There is some research on the estimation of POC inventory by remote sensing,mainly in the open ocean, in which three kinds of vertical profilemodels have been proposed: the uniform, exponential decay, and Gauss models. However, research on remote-sensing estimation of the DOC inventory remains lacking. A synthetic reviewof approaches used to estimate the organic carbon inventories is offered and the future development of methods is discussed for such estimates using remote sensing data in coastal waters. |
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