1 Interannual Variability of Mid-tropospheric CO2 from Atmospheric 2 Infrared Sounder 3 4 5 6 Xun Jiang1*, Moustafa T. Chahine2, Edward T. Olsen2, Luke L. Chen2, 7 and Yuk L. Yung3 8 9 10 11 12 13 14 15 16 17 18 19 20 1 Department of Earth & Atmospheric Sciences, University of Houston, USA 21 2 Science Division, Jet Propulsion Laboratory, California Institute of Technology, USA 22 3 Division of Geological and Planetary Sciences, California Institute of Technology, 23 Pasadena, USA. 24 25 26 * To whom all correspondence should be addressed. E-mail: xjiang4@mail.uh.edu 27 28 To be Submitted to GRL, Oct 26 2009 29 1 1 Abstract: 2 3 [1] The Atmospheric Infrared Sounder offers an opportunity to investigate the 4 variability of mid-tropospheric CO2 over the entire globe. In this paper, we use AIRS data 5 to examine the interannual variability of CO2 and find significant correlations between 6 AIRS mid-tropospheric CO2 concentrations and large-scale atmospheric dynamics. 7 During El Niño events, mid-tropospheric CO2 over the central Pacific Ocean is enhanced 8 whereas it is reduced over the western Pacific Ocean as a result of the change in the 9 Walker circulation. The variation of AIRS CO2 in the high latitudes of northern 10 hemisphere is closely related to the strength of the northern hemispheric annular mode. 11 These results contribute to a better understanding of the influence of large-scale dynamics 12 on tracer distributions in the polar region. 13 2 1 1. Introduction 2 3 [2] The increasing level of atmospheric CO2 has a significant influence on global 4 climate change [Dickinson and Cicerone, 1986]. Observations show a global trend of 5 CO2 of approximately 2 ppm/year [Keeling et al., 1995]. Superimposed upon this trend 6 is an annual cycle resulting from the uptake and release of CO2 by vegetation whose 7 amplitude is greatest in the northern hemisphere (NH). In addition to the trend and annual 8 cycle, atmospheric CO2 also shows interannual variability. In this paper, we will 9 investigate the impact of the transport and large-scale dynamics on the interannual 10 variability of CO2. 11 12 [3] El Niño and Southern Oscillation (ENSO) is the most important large-scale climate 13 interannual variability in the tropics. The atmospheric CO2 is influenced by the ENSO at 14 the surface [Bacastow 1976; Bacastow et al., 1980]. During El Niño (La Niña) events, the 15 atmospheric CO2 growth rate increases (decreases) at surface stations [Keeling et al., 16 1995; Jones et al., 2001]. The reasons are as follows. 17 18 [4] During El Niño events, the ocean is a sink for CO2 [Feely et al., 1987; Inoue and 19 Sugimuray 1992; Wong et al., 2003; Feely et al., 1997; Feely et al., 2006]. The upwelling 20 of the cold nutrient-rich water off the South American coast ceases during El Niño, 21 causing the surface pCO2 concentration to decrease along the equator [Feely et al., 1987; 22 1997]. Meanwhile, the tropical land becomes dryer and warmer. As a result, the gross 23 primary productivity decreases and respiration increases over the land [Jones et al., 24 2001]. Thus the terrestrial biosphere becomes a greater source of CO2 to the atmosphere 25 during El Niño [Keeling et al., 1995; Francey et al., 1995]. The net effect from land and 26 ocean is that the surface CO2 growth rate increases during El Niño events. Conversely, 27 the surface CO2 growth rate decreases during La Niña events. 28 29 [5] The focus of these previous studies is on the influence of climate variability on the 30 CO2 concentration at a few stations near the surface. However, there is no previous 31 investigation on understanding the influence of El Niño on the mid-tropospheric CO2 on 3 1 a global scale. In this paper, we analyze the influence of ENSO on the mid-tropospheric 2 CO2 retrieved by the Atmospheric Infrared Sounder (AIRS). This global dataset provides 3 new insight on how ENSO influence the carbon interannual variability in the middle 4 atmosphere and contributes to our understanding of the vertical transport of tracers 5 between the surface and the mid-troposphere. 6 7 [6] The global coverage of AIRS CO2 retrievals also allows us to investigate the 8 influence of large-scale dynamics on the polar CO2 concentration. The polar region has 9 profound significance for climate. The current general circulation models (GCMs) do not 10 perform well in the polar region, especially in simulating the exchange between the 11 stratosphere and troposphere in that region [Meloen et al. 2003; Jiang et al., 2009]. 12 Therefore, observations are essential for understanding the large-scale dynamics in the 13 polar region. However, most observations and measurements in the polar region suffer 14 from limited coverage both in time and space. The global distribution of CO2 retrieved 15 from AIRS offers a unique opportunity for studying the large-scale dynamics in the polar 16 region. 17 18 [7] The annular modes are the most important interannual variability in the polar region 19 $$$[Thompson and Wallace papers here]$$$. Jiang et al. [2008a, 2008b] applied 20 principal component analysis to the extratropical total column ozone from the combined 21 Merged Ozone Data product and the European Center for Medium-Range Weather 22 Forecasts assimilated ozone from Jan 1979 to Aug 2002. In both hemispheres, the first 23 two leading modes are nearly zonally symmetric and are related to the annular modes. 24 When the polar vortex is stronger (positive annular mode phase), there is less ozone 25 transported to the polar region due to a weaker Brew-Dobson circulation. Similar results 26 in extratropical column ozone are found in the Goddard Earth Observation System 27 Chemistry-Climate Model (GEOS-CCM) [Jiang et al., 2008a; 2008b]. Since there is no 28 chemical destruction of CO2, in contrast to O3, CO2 is a better tracer for investigating the 29 large-scale dynamics in the polar region. In this paper, we will examine the influence of 30 the northern hemispheric annular mode (see later discussion on its definition) on AIRS 31 mid-tropospheric CO2. 4 1 2 2. Data 3 [8] AIRS is a cross-track scanning grating spectrometer with 2378 channels from 3.7 to 4 15.4 m with a 13.5 km field of view at nadir [Aumann et al., 2003]. Chahine et al. 5 [2005] found that the range 690-725 cm-1 is best for selecting the main channel set to 6 retrieve the mid-tropospheric CO2 mixing ratio. The mixing ratios of mid-tropospheric 7 CO2 are retrieved using the Vanish Partial Derivative Method (VPD) [Chahine et al., 8 2005; Chahine et al., 2008; Olsen et al., 2009]. The sensitivity function of AIRS mid- 9 tropospheric CO2 peaks between 500 hPa to 300 hPa. AIRS mid-tropospheric CO2 is 10 retrieved globally in the middle troposphere day and night under clear and cloudy 11 conditions. Validation by comparison to in situ aircraft measurements and retrievals by 12 land-based upward looking Fourier Transform Interferometers demonstrates that AIRS 13 CO2 is accurate to 1-2 ppm between latitudes 30°S and 80°N [Chahine et al., 2008; Olsen 14 et al., 2009]. The mid-tropospheric CO2 retrieved via the VPD method captures the 15 correct seasonal cycle compared with those from Matsueda [Chahine et al., 2005; Olsen 16 et al., 2009]. 17 18 19 3. Results and Discussions 20 21 In order to study the interannual variability of CO2, we must first remove the seasonal 22 cycle. This is done in section 3.1, where we compare the seasonal cycle for the AIRS 23 CO2 with independent biweekly aircraft measurements over the western Pacific between 24 Australia and Japan [Matsueda et al., 2002]. The interannual variability of CO2 in the 25 tropics and the polar region is discussed in sections 3.2 and 3.3, respectively. 26 27 3.1 Annual Cycle of AIRS CO2 28 [10] We compared the NH and southern hemisphere (SH) annual cycles of detrended 29 AIRS retrieved CO2 and detrended CONTRAIL measurements over the period spanning 30 September 2002 and December 2007 [Matsueda et al., 2002]. A 2 ppm/year trend has 31 been removed from both datasets. The CONTRAIL CO2 data above 8 km altitude are 5 1 averaged over 10° latitude ranges centered at 25°S and 25°N. AIRS data for the same 2 dates as the CONTRAIL measurements have also been averaged over these latitude 3 ranges. The annual cycle was calculated for each week from the detrended CO2 data. The 4 annual cycles for AIRS and CONTRAIL CO2 at 25N and 25S are shown in Figure 1. 5 Error bars are the standard deviations for CO2 in each month. The CONTRAIL annual 6 cycle is represented by the red line; the AIRS CO2 retrieval sampled in the same locations 7 is depicted by the black line. The amplitude and phase in the annual cycle of AIRS CO2 8 agree very well with those of CONTRAIL. The amplitude of the annual cycle is greater 9 in the NH than in the SH due to the larger seasonal cycle from surface biosphere 10 contribution in the NH. 11 12 3.2 Interannual Variability of Tropical AIRS CO2 13 [11] We will explore the interannual variability of tropical CO2 and the influence of 14 ENSO on CO2 in this section. ENSO is the most important large-scale climate variability 15 in the tropics, The Southern Oscillation Index (SOI), shown in Fig 2a, is an index for 16 ENSO. It is defined as the monthly mean sea level pressure difference between Tahiti and 17 Darwin. Negative (positive) SOI index corresponds to an El Niño (La Niña) event. We 18 have derived the spatial distributions of AIRS CO2 in Feb 2005 (El Niño event; Negative 19 SOI Index) and in Feb 2008 (La Niña event; Positive SOI index). Figs 2b and 2c are the 20 spatial patterns of the detrended AIRS CO2 for these two events. Detrending was 21 accomplished by removing a 2 ppm/year trend from the data. 22 23 [12] During an El Niño event, warm sea surface temperature (SST) anomalies appear in 24 the central and eastern Pacific and cold anomalies appear in the western Pacific, and the 25 convection will move eastward to the central Pacific [Gage and Reid, 1987]. As a 26 result,convection in the central Pacific brings surface high concentration CO2 into middle 27 troposphere. In Fig. 2b shows, AIRS CO2 data indicate that surface layer CO2 has been 28 lifted into the middle troposphere over the central Pacific region during the El Niño 29 event. Low concentration of mid-tropospheric CO2 is seen in the western and eastern 30 Pacific Ocean, where there is sinking motion. 31 6 1 [13] In contrast, during a La Niña event (Positive SOI index) the SST is warmer in the 2 western Pacific and its associated convection is stronger. In Fig. 2c, AIRS CO2 data 3 suggest that CO2 has been lifted into the middle troposphere over the western Pacific. 4 Lower mid-tropospheric CO2 is seen in the eastern Pacific Ocean as a result of transport 5 of low CO2 from high altitude to the middle troposphere. Fig. 2d is a map of the 6 difference between El Niño and La Niña mid-tropospheric CO2. The difference, (El Niño 7 - La Niña), of AIRS mid-tropospheric CO2 is about 1 2 ppm over the central Pacific 8 and -1 to -2 ppm over the western Pacific. 9 10 3.3 Impact of Polar Vortex on AIRS CO2 11 [14] The annular modes are the most important climate variability in the high latitudes. 12 To investigate the influence of the polar vortex on AIRS mid-tropospheric CO2, we 13 averaged the detrended AIRS polar CO2 north of 60°N from November to April, for the 14 years 2003 through 2007. The result is shown as solid line in Fig 3a. The strength of the 15 polar vortex is characterized by the northern annua mode (NAM) index. The NAM index 16 is defined as the leading time series for the sea-level pressure anomalies within 17 November to April from 20N to 90N [Thompson and Wallace, 1998]. The detrended 18 NAM index is shown by the dashed line in Fig 3a. Pearson’s correlation coefficient for 19 the detrended AIRS polar CO2 and detrended NAM index is -0.74, and the corresponding 20 significance level is 7%. The significance statistic for correlations was generated by a 21 Monte Carlo method [Press et al., 1992; Jiang et al., 2004]. 22 23 [15] Fig 3a indicates that there are strong polar vortices in 2005 and 2007, i.e., for those 24 years the NAM index is positive. When the polar vortex is strong, there is less horizontal 25 mixing of air between the mid-latitudes and high-latitudes. As a result, the transport of air 26 containing a high concentration of CO2 from the mid-latitudes into the polar region is 27 weakened. During those years the concentration of AIRS CO2 in the polar region should 28 therefore be relatively low. Fig 3b shows that the average of AIRS polar CO2 from 29 November to April in 2005 and 2007 was reduced. 30 7 1 [16] On the other hand, Fig 3a indicates that the polar vortices are weak in 2006 and 2 2008; the NAM index is negative in those years. For the case of a weak polar vortex, the 3 horizontal mixing is strong and mid-latitude air containing higher concentrations of CO2 4 can be transported into the polar region. Fig. 3c shows that the AIRS polar CO2 was 5 enhanced from November to April in 2006 and 2008. The difference of AIRS polar CO2 6 between the strong polar vortex and weak polar vortex years is shown in Fig. 3d. There is 7 less CO2 at the polar region for the strong polar vortex years. The minimum value for the 8 difference can be 2-3 ppm. Student-t test is used to calculate the statistical significance of 9 the difference for CO2 concentration in the strong and weak vortex years. The result is 10 statistically significant when t is larger than a certain value t0. The number of degrees of 11 freedom for the CO2 difference between two groups is equal to 2. Given the number of 12 degrees of freedom, t0 can be found from the t distribution table. t0 with a 10% 13 significance level is 2.9. When the t-value in Fig. 3e is larger than 2.9, the results is 14 within 10% significance level. 15 16 The results obtained here are similar to those obtained for stratospheric O3 in the 17 northern polar vortex [Jiang et al. 2008a], where the principal compenent PC1 of O3 18 is correlated with the NAM index at 100 hPa with a correlation coefficient of -0.53. 19 The underlying physics is the same, as a stronger vortex inhibits transport of O3 20 from the lower latitudes into the polar region. 8 1 4. Conclusions 2 3 [17] AIRS mid-tropospheric CO2 retrievals have been used to investigate the annual 4 cycle and interannual variability of CO2 in the middle troposphere for the first time. The 5 comparison between 6 demonstrates that the AIRS CO2 measurements in the middle troposphere capture the 7 correct seasonal cycle of CO2 in the tropics. Global CO2 retrievals offer a unique 8 opportunity to explore the relationships between the mid-tropospheric CO2 concentration 9 and large-scale atmospheric processes. Our analysis suggests that the influences of El 10 Niño events and polar vortex on the CO2 concentration are apparent in the AIRS data. 11 During El Niño, mid-tropospheric CO2 is enhanced in central Pacific Ocean and 12 diminished in the western Pacific Ocean. In the polar region, mid-tropospheric CO2 is 13 diminished if the polar vortex is strong and enhanced if it is weak. 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(e) t-value for the CO2 difference. 6 7 14