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首页> 外文期刊>Atmospheric chemistry and physics >Regional CO_2 flux estimates for 2009-2010 based on GOSAT and ground-based CO_2 observations
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Regional CO_2 flux estimates for 2009-2010 based on GOSAT and ground-based CO_2 observations

机译：基于GOSAT和地面CO_2观测值的2009-2010年区域CO_2通量估计值

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摘要

We present the application of a global carbon cycle modeling system to the estimation of monthly regional CO_2 fluxes from the column-averaged mole fractions of CO_2 (XCO_2) retrieved from spectral observations made by the Greenhouse gases Observing SATellite (GOSAT). The regional flux estimates are to be publicly disseminated as the GOSAT Level 4 data product. The forward modeling components of the system include an atmospheric tracer transport model, an anthropogenic emissions inventory, a terrestrial biosphere exchange model, and an oceanic flux model. The atmospheric tracer transport was simulated using isentropic coordinates in the stratosphere and was tuned to reproduce the age of air. We used a fossil fuel emission inventory based on large point source data and observations of nighttime lights. The terrestrial biospheric model was optimized by fitting model parameters to observed atmospheric CO_2 seasonal cycle, net primary production data, and a biomass distribution map. The oceanic surface pCO_2 distribution was estimated with a 4-D variational data assimilation system based on reanalyzed ocean currents. Monthly CO_2 fluxes of 64 sub-continental regions, between June 2009 and May 2010, were estimated from GOSAT FTS SWIR Level 2 X_(CO2) retrievals (ver. 02.00) gridded to 5° × 5° cells and averaged on a monthly basis and monthly-mean GLOBALVIEW-CO_2 data. Our result indicated that adding the GOSAT X_(CO2) retrievals to the GLOBALVIEW data in the flux estimation brings changes to fluxes of tropics and other remote regions where the surface-based data are sparse. The uncertainties of these remote fluxes were reduced by as much as 60% through such addition. Optimized fluxes estimated for many of these regions, were brought closer to the prior fluxes by the addition of the GOSAT retrievals. In most of the regions and seasons considered here, the estimated fluxes fell within the range of natural flux variabilities estimated with the component models.
机译：我们提出了一个全球碳循环模型系统的应用，该系统通过从温室气体观测卫星（GOSAT）的光谱观测获得的CO_2（XCO_2）列平均摩尔分数估算月度区域CO_2通量。区域通量估计值将作为GOSAT 4级数据产品公开发布。该系统的正向建模组件包括大气示踪剂运输模型，人为排放清单，陆地生物圈交换模型和海洋通量模型。利用平流层中的等熵坐标模拟了大气示踪剂的传输，并对其进行了调整以再现空气的年龄。我们使用了基于大量点源数据和夜间照明观察的化石燃料排放清单。通过将模型参数拟合到观测到的大气CO_2季节周期，净初级生产数据和生物量分布图来优化陆地生物圈模型。基于重新分析的洋流，利用4-D变分数据同化系统估算了海洋表面pCO_2的分布。根据GOSAT FTS SWIR的2级X_（CO2）取回量（版本02.00）估算到5°×5°像元，并于2009年6月至2010年5月之间，估算了64个次大陆地区的每月CO_2通量，并按月平均。每月平均GLOBALVIEW-CO_2数据。我们的结果表明，在通量估计中将GOSAT X_（CO2）检索结果添加到GLOBALVIEW数据中会带来热带和其他基于地表数据稀疏的偏远地区通量的变化。通过这种添加，这些远程通量的不确定性降低了多达60％。通过添加GOSAT检索，对这些区域中许多区域估算出的优化通量变得更接近先前的通量。在此处考虑的大多数区域和季节中，估计通量都在用组件模型估计的自然通量变化范围内。

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