| 摘要: |
| 海-气界面CO2通量的估算对于碳的生物地球化学循环和全球气候变化等研究具有重要的意义，利用遥感手段是进行全球尺度海表面碳通量估算的唯一手段，但是由于不确定性的存在限制了海-气界面CO2通量遥感估算产品在决策应用上的可靠性。本文通过建立海-气界面CO2通量直接控制参量(气体交换速率k、海表面CO2溶解度S和海表面CO2分压pCO2sw)误差结构图，以通量估算的主要影响因子—海表温度（SST）为例，建立了SST在通量计算中的误差传递流程图，并采用Monte Carlo方法模拟了SST误差在通量计算中的传递规律和对最终误差的贡献。结果表明在遥感SST误差为0.5℃并为正态分布的假设下，误差在k、S计算中的传递为指数分布和近似指数分布，而在pCO2sw模型计算中为正态分布，最终在通量FCO2中的传递为指数分布；在大气CO2分压为固定值370μatm的情况下，SST对最终的通量结果带来的误差为1.2mmol?m-2?day-1左右。本文以SST为例，提供了一种通量计算中遥感参数误差传递和贡献的计算方法，可以为其他遥感获取的参量提供分析依据和参考。 |
| 关键词: 海-气CO2通量 遥感测量 SST 误差传递 Monte Carlo模拟 |
| DOI：10.11693/hyhz20121107001 |
| 分类号: |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
附件 |
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| Contribution and propagation of remote sensing SST product error in the sea-air CO2 fluxes estimation |
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Dou wen jie
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Hangzhou Normal University
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| Abstract: |
| Sea–air CO2 fluxes estimation is indispensable for a wide range of researches especially for carbon biogeochemical cycles and globe climate change. The distribution and fluxes of CO2 are highly variable in surface seawater and vary over a broad spectrum of time and space scales, and there is considerable interest in the use of satellite remotely sensed data to provide synoptic maps of sea-air CO2 fluxes. However, a great deal of uncertainties are associated with the current remote sensing products of sea-air CO2 fluxes due to many error sources, which limits largely its application on decision making. In this study, we analyzed the various error sources presented in the remote sensing routines of sea-airCO2 fluxes estimation, which were illustrated by the framework of the direct control parameters of CO2 fluxes, including the gas transfer velocity, k; the sea surface CO2 solubility, S; and the sea surface partial pressure of CO2, pCO2sw, and determined SST as the main flux influence factor and the error transfer flow chart was established. Then the transfer law and the final error contribution analysis in the calculation of fluxes were carried out using Monte Carlo simulation, in order to understand how SST error affects the fluxes interaction. The results indicated that under the assumption that remote sensing SST error is ±0.5℃ and is normally distributed, the SST error transfer law was exponential distributed in the k parameterization, and approximately exponential distributed in the S parameterization, while normally distributed in pCO2sw parameterization and exponential distributed in CO2 fluxes, respectively; and when atmospheric CO2 partial pressure was fixed at the value of 370μatm, SST brought an error of ±1.2mmol?m-2?day-1 to the final result of the fluxes. The paper presents a method of analysis on the remote sensing parameters error propagation and contributions in sea–air CO2 fluxes calculation, and can provide an analytical basis and reference for other parameters of remote sensing. |
| Key words: sea-air CO2 fluxes remote sensing SST error propagation Monte Carlo simulation |
