首页> 外文OA文献 >Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe
【2h】

Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe

机译:从GOSAT XCO2检索中推断出的欧洲对二氧化碳吸收的估计:对欧洲内部和外部测量偏差的敏感性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Estimates of the natural CO flux over Europe inferred from in situmeasurements of atmospheric CO mole fraction have been used previouslyto check top-down flux estimates inferred from space-borne dry-air COcolumn (X) retrievals. Several recent studies have shown thatCO fluxes inferred from X data from the JapaneseGreenhouse gases Observing SATellite (GOSAT) and the Scanning ImagingAbsorption Spectrometer for Atmospheric CHartographY (SCIAMACHY) have largerseasonal amplitudes and a more negative annual net CO balance thanthose inferred from the in situ data. The cause of this elevated Europeanuptake of CO is still unclear, but some recent studies have suggestedthat this is a genuine scientific phenomenon. Here, we put forward analternative hypothesis and show that realistic levels of bias in GOSAT datacan result in an erroneous estimate of elevated uptake over Europe. We use aglobal flux inversion system to examine the relationship between measurementbiases and estimates of CO uptake from Europe. We establish a referencein situ inversion that uses an Ensemble Kalman Filter (EnKF) to assimilateconventional surface mole fraction observations and Xretrievals from the surface-based Total Carbon Column Observing Network(TCCON). We use the same EnKF system to assimilate two independent versionsof GOSAT X data. We find that the GOSAT-inferred Europeanterrestrial biosphere uptake peaks during the summer, similar to thereference inversion, but the net annual flux is1.40 ± 0.19 GtC a compared to a value of0.58 ± 0.14 GtC a for our control inversion that uses only insitu data. To reconcile these two estimates, we perform a series of numericalexperiments that assimilate observations with added biases or assimilatesynthetic observations for which part or all of the GOSAT Xdata are replaced with model data. We find that for our global fluxinversions, a large portion (60–90 %) of the elevated European uptakeinferred from GOSAT data in 2010 is due to retrievals outside the immediateEuropean region, while the remainder can largely be explained by a sub-ppmretrieval bias over Europe. We use a data assimilation approach to estimatemonthly GOSAT X biases from the joint assimilation of in situobservations and GOSAT X retrievals. The inferred biasesrepresent an estimate of systematic differences between GOSATX retrievals and the inversion system at regional orsub-regional scales. We find that a monthly varying bias of up to 0.5 ppmcan explain an overestimate of the annual sink of up to 0.20 GtC a.Our results highlight the sensitivity of CO flux estimates to regionalobservation biases, which have not been fully characterized by the currentobservation network. Without further dedicated measurements we cannot proveor disprove that European ecosystems are taking up a larger-than-expectedamount of CO. More robust inversion systems are also needed to inferconsistent fluxes from multiple observation types.
机译:以前已经使用从大气中CO摩尔分数的原位测量得出的欧洲自然CO通量估计值来检查由星载干空气CO柱(X)检索得出的自上而下的通量估计值。最近的一些研究表明,从日本温室气体观测卫星(GOSAT)的X数据和大气作图仪的扫描成像吸收光谱仪(SCIAMACHY)推断出的CO通量具有比从原位数据推断出的更大的季节振幅和更大的年度净CO平衡。欧洲对CO吸收增加的原因仍不清楚,但是最近的一些研究表明这是一种真正的科学现象。在这里,我们提出了另一种假设,并表明,GOSAT数据中的实际偏差水平可能导致对欧洲吸收量升高的错误估计。我们使用全球通量反演系统来检查测量偏差与欧洲对CO吸收的估计之间的关系。我们建立了一个参考原位反演方法,该方法使用Ensemble Kalman滤波器(EnKF)从基于表面的总碳柱观测网络(TCCON)中吸收常规的表面摩尔分数观测值和Xretrievals。我们使用相同的EnKF系统来吸收GOSAT X数据的两个独立版本。我们发现,GOSAT推断的欧洲陆地生物圈吸收量在夏季达到峰值,与参考反演相似,但净年通量为1.40±0.19 GtC fora,而我们仅使用对照反演的值为0.58±0.14 GtC a。原位数据。为了调和这两个估计,我们执行了一系列数值实验,这些实验将观测值与增加的偏差或同化合成观测值进行了同化,对于这些观测值,部分或全部GOSAT Xdata数据已替换为模型数据。我们发现,就我们的全球通量反转而言,2010年从GOSAT数据推断出的欧洲吸收量上升的很大一部分(60–90%)是由于欧洲附近地区的反演,而其余部分很大程度上可以归因于欧洲。我们使用数据同化方法来估计来自情景观测和GOSAT X检索的联合同化的每月GOSAT X偏差。推断的偏差代表在区域或次区域尺度上GOSATX检索与反演系统之间系统差异的估计。我们发现,每月变化偏倚最高为0.5 ppm可以解释高估了每年最多吸收0.20 GtC a。我们的结果强调了CO通量估计值对区域观测偏倚的敏感性,而当前观测网络尚未完全表征这一点。如果没有进一步的专门测量,我们就无法证明或反驳欧洲生态系统吸收的二氧化碳量是否超出预期。还需要更强大的反演系统来推断多种观测类型的一致通量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号