Evaluation of ACCMIP outgoing longwave radiation from tropospheric ozone using TES satellite observations-猫眼课题宝

DOI：

10.5194/acp-13-4057-2013

发表时间：

2013-04

期刊：

Atmospheric Chemistry and Physics

影响因子：

6.3

通讯作者：

中科院分区：

地球科学1区

文献类型：

作者：

K. W. Bowman;D. Shindell;H. Worden;J. Lamarque;Paul Young;David Stevenson;Z. Qu;M. D. L. Torre;D. Bergmann;P. Cameron-smith;William J. Collins;R. M. Doherty;S. Dalsøren;G. Faluvegi;G. Folberth;L. Horowitz;B. Josse;Y. Lee;Ian A. MacKenzie;G. Myhre;Tatsuya Nagashima;V. Naik;David A Plummer;S. Rumbold;R. Skeie;S. Strode;K. Sudo;S. Szopa;A. Voulgarakis;G. Zeng;S. Kulawik;A. Aghedo;John R. Worden

抽象。我们使用同时观测对流层臭氧和出射长波辐射（OLR）对流层臭氧的敏感性从对流层发射光谱仪（TES）来评估模型对流层臭氧及其对OLR的影响模拟的一套化学气候模式，参加了大气化学和气候模式相互比较项目（ACCMIP）。2005 - 2010年，ACCMIP模式的集合平均值显示，相对于TES臭氧，南半球对流层臭氧存在持续但适度的低偏差（5 - 20 ppb），北方半球对流层臭氧存在适度的高偏差（5 - 10 ppb）。这些臭氧偏差对OLR有重大影响。使用TES瞬时辐射核函数（IRK），我们发现ACCMIP集合平均对流层臭氧低偏差导致高达120 mW m − 2的局部OLR高偏差，但纬向补偿误差将全球OLR高偏差降低到相对于TES数据的39 ± 41 m Wm − 2。我们发现，有一个相关性（R2 = 0.59）的ACCMIP OLR偏差的幅度和ACCMIP工业化前到今天（1750 - 2010年）的臭氧辐射强迫（RF）从集合臭氧RF平均值的偏差。然而，这种相关性主要是由对流层臭氧的绝对OLR偏差超过100 m Wm − 2的模式驱动的。去除这些模式后，平均臭氧辐射强迫为394 ± 42 m Wm − 2。平均值大致相同，标准差比ACCMIP同伴研究中报告的16个ACCMIP模型中的14个模型得出的384 ± 60 m Wm − 2的集合臭氧RF低约30%。这些结果指出了一个有益的方向，即结合卫星观测和化学气候模型模拟，以减少臭氧辐射强迫的不确定性。

Abstract. We use simultaneous observations of tropospheric ozone and outgoing longwave radiation (OLR) sensitivity to tropospheric ozone from the Tropospheric Emission Spectrometer (TES) to evaluate model tropospheric ozone and its effect on OLR simulated by a suite of chemistry-climate models that participated in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP). The ensemble mean of ACCMIP models show a persistent but modest tropospheric ozone low bias (5–20 ppb) in the Southern Hemisphere (SH) and modest high bias (5–10 ppb) in the Northern Hemisphere (NH) relative to TES ozone for 2005–2010. These ozone biases have a significant impact on the OLR. Using TES instantaneous radiative kernels (IRK), we show that the ACCMIP ensemble mean tropospheric ozone low bias leads up to 120 mW m−2 OLR high bias locally but zonally compensating errors reduce the global OLR high bias to 39 ± 41 m Wm−2 relative to TES data. We show that there is a correlation (R2 = 0.59) between the magnitude of the ACCMIP OLR bias and the deviation of the ACCMIP preindustrial to present day (1750–2010) ozone radiative forcing (RF) from the ensemble ozone RF mean. However, this correlation is driven primarily by models whose absolute OLR bias from tropospheric ozone exceeds 100 m Wm−2. Removing these models leads to a mean ozone radiative forcing of 394 ± 42 m Wm−2. The mean is about the same and the standard deviation is about 30% lower than an ensemble ozone RF of 384 ± 60 m Wm−2 derived from 14 of the 16 ACCMIP models reported in a companion ACCMIP study. These results point towards a profitable direction of combining satellite observations and chemistry-climate model simulations to reduce uncertainty in ozone radiative forcing.

Evaluation of ACCMIP outgoing longwave radiation from tropospheric ozone using TES satellite observations

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