期刊文献+

SST产品误差在海-气CO_2通量计算中的传递及贡献分析 被引量:1

ERROR IN SST PRODUCT: PROPAGATION IN THE ESTIMATION OF SEA-AIR CO_2 FLUX
下载PDF
导出
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°C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FC O中的传递为指数分布;在大气CO22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/(m2·d)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,可以为其它遥感获取的参量提供分析依据和参考。 Estimation of sea-air CO2 flux is indispensable for a wide range of research especially for carbon biogeochemical cycles and globe climate change. The distribution and CO2 flux are highly variable in surface seawater and vary over a broad spectrum in 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 flux. However, a great deal of uncertainties are associated with the current remote sensing products of sea-air CO2 flux due to many error sources, which limits largely its application on decision making. Taking SST, the major impact factor on the estimation of sea-air CO2 flux as an example, we presented in a flowchart how the error propagates during the flux calculation with parameters including gas transfer velocity(k), sea surface CO 2 solubility(S), and the partial pressure of CO2 at sea surface(pCO2sw). In addition, using Monte Carlo simulation, we analyzed the transfer law and the final contribution from the error to understand how SST error affects the flux interaction. The results indicate that under the assumption that remote sensing SST error is ±0.5°C and in normal distribution, the SST error transfer law was exponential distributed in k parameterization, and approximately exponential distributed in S parameterization, while normally distributed in pCO2sw parameterization and exponential distributed in CO2 flux; and when atmospheric CO2 partial pressure was fixed at the value of 370μatm, SST brought an error of ±1.2 mmol·m?2·day?1 to the final result of the flux. These results may provide a basis and reference for analyzing other parameters of remote sensing.
出处 《海洋与湖沼》 CAS CSCD 北大核心 2014年第1期148-156,共9页 Oceanologia Et Limnologia Sinica
基金 海洋公益性行业科研专项经费项目 "中国近海海-气二氧化碳通量遥感监测评估系统研究与示范" 200905012-07号 "海洋环境要素水色遥感技术与应用示范" 201005030-06号 国家自然科学基金项目 40971193号 41206169号
关键词 海-气CO2通量 遥感测量 海表温度(SST) 误差传递 Monte CARLO模拟 sea-air CO2 flux remote sensing SST error propagation Monte Carlo simulation
  • 相关文献

参考文献11

  • 1张远辉,王伟强,陈立奇.海洋二氧化碳的研究进展[J].地球科学进展,2000,15(5):559-564. 被引量:25
  • 2郑嘉淦,李继龙,杨文波.利用MODIS遥感数据反演东海海域海表温度的研究[J].海洋渔业,2006,28(2):141-146. 被引量:24
  • 3Melissa Chierici,Are Olsen,Truls Johannessen,Joaquin Trina?es,Rik Wanninkhof.Algorithms to estimate the carbon dioxide uptake in the northern North Atlantic using shipboard observations, satellite and ocean analysis data[J]. Deep-Sea Research Part II . 2009 (8)
  • 4Weidong Zhai,Minhan Dai.On the seasonal variation of air – sea CO 2 fluxes in the outer Changjiang (Yangtze River) Estuary, East China Sea[J]. Marine Chemistry . 2009 (1)
  • 5陈立奇,杨绪林,张远辉,李伟,林奇,林红梅,许苏清,詹建琼.海洋-大气二氧化碳通量的观测技术[J].海洋技术,2008,27(4):9-12. 被引量:14
  • 6王郝京.大洋海区海-气CO_2通量单参数遥感算法的适用性检验[J].台湾海峡,2011,30(2):286-291. 被引量:3
  • 7Norman B Nelson,Nicholas R Bates,David A Siegel,Anthony F Michaels.Spatial variability of the CO 2 sink in the Sargasso Sea[J]. Deep-Sea Research Part II . 2001 (8)
  • 8Taro Takahashi,Stewart C. Sutherland,Colm Sweeney,Alain Poisson,Nicolas Metzl,Bronte Tilbrook,Nicolas Bates,Rik Wanninkhof,Richard A. Feely,Christopher Sabine,Jon Olafsson,Yukihiro Nojiri.Global sea–air CO 2 flux based on climatological surface ocean p CO 2 , and seasonal biological and temperature effects[J]. Deep-Sea Research Part II . 2002 (9)
  • 9Weidong Zhai,Minhan Dai,Xianghui Guo.Carbonate system and CO 2 degassing fluxes in the inner estuary of Changjiang (Yangtze) River, China[J]. Marine Chemistry . 2007 (3)
  • 10Brent G.T. Else,John J. Yackel,Tim N. Papakyriakou.Application of satellite remote sensing techniques for estimating air–sea CO 2 fluxes in Hudson Bay, Canada during the ice-free season[J]. Remote Sensing of Environment . 2008 (9)

二级参考文献59

共引文献58

同被引文献13

引证文献1

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部