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Stoichiometry of Oceanic Remineralization by Non-Linear Global Optimization on an Improved Data Set

Stoichiometry of Oceanic Remineralization by Non-Linear Global Optimization on an Improved Data Set
基于改进数据集的非线性全局优化的海洋再矿化化学计量
批准号:
0727170
负责人:
Jorge Sarmiento
金额:
$43.46万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2011-08-31

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中文摘要
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英文摘要
Remineralization ratios represent the average stoichiometric relationships of elements released by decomposition of sinking particles as they fall thought the water column to the ocean floor. In theory, these ratios are similar, on appropriate temporal and spatial scales, to the ratios in which elements are taken up by phytoplankton. These ratios are often used in biogeochemical modeling and they permit linking the different cycles through simple proportionality. Although variations in the ratio in space or time can have large-scale oceanic impact, current consensus suggests that remineralization ratios are relatively constant in the deep ocean, but that significant variations exist in the more dynamic upper layers. If one is to correctly predict the impacts of iron fertilization, to measure the efficiency of the organic carbon pump, or to investigate the effects of climate change on oceanic biogeochemical cycles, and so make claims about the significance of these processes on anthropogenically relevant scales (decades), an accurate global depiction of organic matter remineralization is required. Researchers from Princeton University propose to carry out a global investigation of the pattern of water column remineralization of carbon, alkalinity, oxygen and the major nutrients (nitrate, phosphate, silicate) using a newly developed mathematical estimation scheme and the Global Ocean Data Analysis Project (GLODAP) data set. Using a newly developed method to solve a coupled system of equation describing mixing of multiple water masses and remineralization of particulate matter into dissolved nutrients, they can simultaneously solve for the water mass fractions and each remineralization ratio, without assuming ratio constancy, and propagate uncertainties in water mass characterization using a geographic Monte-Carlo approach. The broader impacts of this research will include providing the oceanographic community with a global database containing 1) the fractions of the major water masses constituting most water sample collected as part of the major oceanographic expeditions of the last few decades, 2) the remineralization ratios inferred from the dissolved nutrient fields, and 3) the faction of the measured concentrations that arises from biological respiration or dissolution. No centralized data repository containing this information currently exists, and existing methods used to compute these parameters are limited. In addition, a graduate student would be trained.
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Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM)
  • 批准号:
    1425989
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $1626.55万
  • 财政年份:
    2014
  • 负责人:
    Jorge Sarmiento
  • 依托单位:
Tropical Ocean-Atmosphere Interactions: The Past, The Present and the Future: A Symposium Honoring George Philander and His Work; Princeton, New Jersey; September 6-7, 2012
  • 批准号:
    1240746
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2012
  • 负责人:
    Jorge Sarmiento
  • 依托单位:
Ocean Acidification-Category 1: Does the strength of the carbonate pump change with ocean stratification and acidification and how?
  • 批准号:
    1040957
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.32万
  • 财政年份:
    2010
  • 负责人:
    Jorge Sarmiento
  • 依托单位:
Collaborate Research:Modified Circumpolar Deep Water Intrusions as an Iron Source to the Summer Ross Sea Ecosystem
  • 批准号:
    0839062
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.5万
  • 财政年份:
    2009
  • 负责人:
    Jorge Sarmiento
  • 依托单位:
国内基金
海外基金
Submesoscale Processes Associated with Oceanic Eddies
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    董昌明
  • 依托单位: