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

被引：48

作者：

Bowman, K. W. ^{[1
]}

Shindell, D. T. ^{[2
,3
]}

Worden, H. M. ^{[4
]}

Lamarque, J. F. ^{[4
]}

Young, P. J. ^{[5
]}

Stevenson, D. S. ^{[6
]}

Qu, Z. ^{[7
]}

de la Torre, M. ^{[1
]}

Bergmann, D. ^{[8
]}

Cameron-Smith, P. J. ^{[8
]}

Collins, W. J. ^{[9
]}

Doherty, R. ^{[6
]}

Dalsoren, S. B. ^{[10
]}

Faluvegi, G. ^{[2
,3
]}

Folberth, G. ^{[11
]}

Horowitz, L. W. ^{[12
]}

Josse, B. M. ^{[13
]}

Lee, Y. H. ^{[2
,3
]}

MacKenzie, I. A. ^{[6
]}

Myhre, G. ^{[10
]}

Nagashima, T. ^{[14
]}

Naik, V. ^{[16
]}

Plummer, D. A. ^{[17
]}

Rumbold, S. T. ^{[11
]}

Skeie, R. B. ^{[10
]}

Strode, S. A. ^{[18
,19
]}

Sudo, K. ^{[15
]}

Szopa, S. ^{[20
]}

Voulgarakis, A. ^{[22
]}

Zeng, G. ^{[21
]}

Kulawik, S. S. ^{[1
]}

Aghedo, A. M. ^{[23
]}

Worden, J. R. ^{[1
]}

机构：

[1] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA

[2] NASA, Goddard Inst Space Studies, New York, NY 10025 USA

[3] Columbia Earth Inst, New York, NY USA

[4] Natl Ctr Atmospher Res, Boulder, CO 80307 USA

[5] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England

[6] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland

[7] Raytheon Intelligence & Informat Syst, Pasadena, CA USA

[8] Lawrence Livermore Natl Lab, Livermore, CA USA

[9] Univ Reading, Dept Meteorol, Reading, Berks, England

[10] Ctr Int Climate & Environm Res, Oslo, Norway

[11] Hadley Ctr, Met Off, Exeter, Devon, England

[12] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA

[13] CNRS, GAME CNRM, Meteo France, Ctr Natl Rech Meteorol, Toulouse, France

[14] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan

[15] Nagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi 4648601, Japan

[16] NOAA, UCAR, Geophys Fluid Dynam Lab, Princeton, NJ USA

[17] Environm Canada, Canadian Ctr Climate Modeling & Anal, Victoria, BC, Canada

[18] NASA, Goddard Space Flight Ctr, Columbia, MD USA

[19] Univ Space Res Assoc, Columbia, MD 90034 USA

[20] Lab Sci Climat & Environm, Gif Sur Yvette, France

[21] Natl Inst Water & Atmospher Res, Lauder, New Zealand

[22] Univ London Imperial Coll Sci Technol & Med, Dept Phys, London, England

[23] Rice Univ, Houston, TX USA

来源：

ATMOSPHERIC CHEMISTRY AND PHYSICS | 2013年 / 13卷 / 08期

基金：

美国国家科学基金会;

关键词：

BIOMASS BURNING EMISSIONS; CLIMATE-CHANGE; ATMOSPHERIC CHEMISTRY; TROPICAL TROPOSPHERE; NADIR RETRIEVALS; ZONAL STRUCTURE; CARBON-DIOXIDE; MODEL; SPECTROMETER; METHANE;

D O I：

10.5194/acp-13-4057-2013

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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 mW m(-2) relative to TES data. We show that there is a correlation (R-2 = 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 mW m(-2). Removing these models leads to a mean ozone radiative forcing of 394 +/- 42 mW m(-2). The mean is about the same and the standard deviation is about 30% lower than an ensemble ozone RF of 384 +/- 60 mW m(-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.

引用

页码：4057 / 4072

页数：16

共 88 条

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