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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Large amplitude spatial and temporal gradients in atmospheric boundary layer CO _2 mole fractions detected with a tower-based network in the U.S. upper Midwest
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Large amplitude spatial and temporal gradients in atmospheric boundary layer CO _2 mole fractions detected with a tower-based network in the U.S. upper Midwest

机译：美国中西部上层的塔基网络检测到大气边界层CO _2摩尔分数的大幅度时空梯度

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摘要

This study presents observations of atmospheric boundary layer CO _2 mole fraction from a nine-tower regional network deployed during the North American Carbon Program's Mid-Continent Intensive (MCI) during 2007-2009. The MCI region is largely agricultural, with well-documented carbon exchange available via agricultural inventories. By combining vegetation maps and tower footprints, we show the fractional influence of corn, soy, grass, and forest biomes varies widely across the MCI. Differences in the magnitude of CO _2 flux from each of these biomes lead to large spatial gradients in the monthly averaged CO _2 mole fraction observed in the MCI. In other words, the monthly averaged gradients are tied to regional patterns in net ecosystem exchange (NEE). The daily scale gradients are more weakly connected to regional NEE, instead being governed by local weather and large-scale weather patterns. With this network of tower-based mole fraction measurements, we detect climate-driven interannual changes in crop growth that are confirmed by satellite and inventory methods. These observations show that regional-scale CO _2 mole fraction networks yield large, coherent signals governed largely by regional sources and sinks of CO _2.
机译：这项研究提出了在2007年至2009年期间由北美碳计划的中陆集约化（MCI）部署的九塔区域网络对大气边界层CO _2摩尔分数的观测结果。 MCI地区主要是农业地区，通过农业库存可以进行有据可查的碳交换。通过结合植被图和塔的足迹，我们显示了整个MCI中玉米，大豆，草和森林生物群落的部分影响很大。来自每个生物群落的CO _2通量大小的差异导致在MCI中观察到的每月平均CO _2摩尔分数的大空间梯度。换句话说，月平均梯度与净生态系统交换（NEE）中的区域模式相关。日尺度梯度与区域NEE的联系较弱，而由当地天气和大规模天气模式控制。通过基于塔的摩尔分数测量网络，我们可以检测到气候驱动的作物生长的年际变化，这些变化通过卫星和清单方法得到了证实。这些观察结果表明，区域规模的CO _2摩尔分数网络产生大而连贯的信号，这些信号主要受区域性CO _2的来源和吸收者支配。

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