Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS
Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS
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DOI：
10.1111/j.1600-0889.2010.00483.x
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发表时间：
2010-01
期刊：
影响因子：
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通讯作者：
T. Kaminski;M. Scholze;S. Houweling
中科院分区：
文献类型：
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作者：
T. Kaminski;M. Scholze;S. Houweling
欧空局的地球探索者候选使命A-SCOPE旨在利用主动激光雷达仪器从空间观测二氧化碳。本研究采用定量网络设计技术，探讨碳循环资料同化系统中A-SCOPE观测的效益。该系统通过大气传输模式TM 3的高分辨率版本将观测结果与陆地植被模式BETHY联系起来。在建模过程链中，观测值用于减少BETHY过程参数值的不确定性，然后将过程参数的不确定性映射到三个区域长期净碳通量和净初级生产力的不确定性。A-SCOPE比地面GLOBALVIEW站网络更好地减少了后验不确定性。这是正确的同化月平均值和瞬时值，这是正确的两个潜在的垂直加权函数。通过A-SCOPE观测的约束强度在观测不确定性范围内很高。
ESA’s Earth Explorer candidate mission A-SCOPE aims at observing CO2 from space with an active LIDAR instrument. This study employs quantitative network design techniques to investigate the benefit of A-SCOPE observations in a Carbon Cycle Data Assimilation System. The system links the observations to the terrestrial vegetation model BETHY via the fine resolution version of the atmospheric transport model TM3. In the modelling process chain the observations are used to reduce uncertainties in the values of BETHY’s process parameters, and then the uncertainty in the process parameters is mapped forward to uncertainties in both in long-term net carbon flux and net primary productivity over three regions. A-SCOPE yields considerably better reductions in posterior uncertainties than the ground-based GLOBALVIEW station network. This is true for assimilating monthly mean values and instantaneous values, and it is true for two potential vertical weighting functions. The strength of the constraint through A-SCOPE observations is high over the range of observational uncertainties.