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Review and suggestions for estimating particulate organic carbon and dissolved organic carbon inventories in the ocean using remote sensing data

机译:使用遥感数据估算海洋中的颗粒有机碳和溶解有机碳库存的评论和建议

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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 es-timation 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 car-bon 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 distribu-tion 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 profile models have been proposed:the uniform, exponential decay, and Gauss models. However, research on remote-sensing estimation of the DOC inventory remains lacking. A synthetic review of approaches used to estimate the or-ganic carbon inventories is offered and the future development of methods is discussed for such estimates using remote sensing data in coastal waters.
机译:溶解有机碳(DOC)和颗粒有机碳(POC)是海洋碳循环的基本变量。了解这些变量的分布和清单对于更好地估计和理解全球碳循环非常重要。由于其在空间和时间覆盖方面的显着优势,遥感数据可提供DOC和POC清单的估计值,从而能够为碳库的分布和运输提供综合视图。使用遥感估算有机碳库存涉及表面浓度和垂直剖面模型的集成,这些模型的开发对于估算的准确性至关重要。因此,首先简要总结了海洋中DOC和POC的分布和控制因素,然后回顾了DOC和POC清单和通量估算的研究,其中大部分是基于现场数据,很少考虑垂直方向。 POC或DOC的分布。关于遥感估计POC量的研究主要在公海,其中提出了三种垂直剖面模型:均匀模型,指数衰减模型和高斯模型。但是,仍然缺乏关于DOC库存量遥感估算的研究。本文提供了对用于估算有机碳清单的方法的综合综述,并讨论了使用沿海水域中的遥感数据进行此类估算的方法的未来发展。

著录项

  • 来源
    《海洋学报(英文版)》 |2014年第1期|1-10|共10页
  • 作者

    PAN Delu; LIU Qiong; BAI Yan;

  • 作者单位

    State Key Laboratory of Satellite 0cean Environment Dynamics, the Second Institute of 0ceanography, State 0ceanic Administration, Hangzhou 310012, China;

    National Marine Environmental Forecasting Center, State 0ceanic Administration, Beijing 100081, China;

    State Key Laboratory of Satellite 0cean Environment Dynamics, the Second Institute of 0ceanography, State 0ceanic Administration, Hangzhou 310012, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 03:57:54
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