Abstract
An overview of atmospheric trace gas measurements made using various spectroscopic ground-based instrumentation and measurement techniques at the Department of Physics of Atmosphere, St. Petersburg State University is given. The SPbSU trace-gas retrievals have been compared to independent ground-based and satellite measurements as well as to models. Temporal variations (from diurnal cycles to long-term trends) of trace-gases have been studied on the basis of experimental data.
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14.1 Introduction
Atmospheric trace gases play an important role in forming the radiative characteristics of the atmosphere and ozonosphere and accordingly effect global climate [20]. Therefore measurements of the variability of climate influencing atmospheric gases by different local and remote methods are performed very intensively and continuously all over the world. At St. Petersburg State University (Atmospheric Physics Department) ground-based spectroscopic measurements of trace gases started in the early 1990s at Old Peterhof, approximately 35 km southwest from the center of St.-Petersburg (59°88′ N, 29°83′S, 20 m asl.). Measurements of IR solar radiation spectra by SIRS-spectrometer with middle resolution [3] were first performed at SPbSU but have subsequently been augmented by other remote methods for measuring the atmospheric trace gases.
14.2 Instrumentation and Measurement Techniques
At first stage of the investigation (beginning in 1991), ground-based spectroscopic measurements of CH4 and CO total column amounts (TCA) have been performed using a Solar IR Spectrometer (SIRS). SIRS is a low resolution (0.4−0.6 cm−1) grating spectrometer which was designed at the Department for observations of solar IR radiation in the 3.15−4.55 μm wave-range. The gas TCA retrieval algorithm is based on the optimal estimation method [17]. CH4 and CO TCA time series have been analyzed to reveal variability of different time scales (long-term trends, annual and interannual variability etc.) of the gases for the St. Petersburg region [4, 5].
Trace gas remote determinations have been carried out also by measurements of zenith scattered solar radiation in the UV and visible spectral ranges. For performing the measurements, an automated spectral complex based on a grating spectrometer (KSVU instrument) developed at SPbSU which allowed registration of a spectrum of scattered radiation in the range of 428−515 nm with 1.3 nm resolution has been used [11]. The NO2 vertical column amount has been retrieved from twilight solar scattered visible radiation measurements using the DOAS (Differential Optical Absorption Spectroscopy) method [9]. Beginning with 2004, the measurements have been carried out by means of the KSVU instrument (later, since 2008 – by an OceanOptics spectrometer). The interpretation of this kind of ground-based measurements is performed using the standard techniques developed for the international network of stations NDACC (formerly NDSC) (http://www.ndacc.org) and SAOZ [15] (WinDOAS, [1]). Since 2008, determination of the ozone vertical profiles at the 20−80 km altitude region have begun using measurements of downward thermal radiation in the microwave ozone absorption lines [2].
Since January 2009, combined determination of atmospheric gas composition has been started using ground-based measurements of IR direct solar radiation by Fourier-spectrometer Bruker IFS-125 with a high spectral resolution (up to 0.002 cm−1). An original sun-tracking system for the Bruker IFS125 HR was designed at the Atmospheric Physics Dept. of Saint-Petersburg State University. It makes possible the measurement of more than 20 greenhouse and reactive gases in the atmosphere over St. Petersburg [6, 7, 10, 12–14, 18, 19, 21]. In Table 14.1 short descriptions of the ground-based devices and measurement methods used at SPbSU are given.
14.3 Trace Gases Measurements Near St. Petersburg
Simultaneous measurements which were performed by SIRS (original retrieval algorithm [8]) and Bruker (SFIT2 retrieval algorithm [16]) during 2009–2010 allowed us to harmonize the CH4 time series obtained by two spectrometers (Fig. 14.1). The systematic difference between the Bruker IFS125 HR and SIRS measurements totals 1.8%.
Long-term trends in the CH4 TCA were estimated using SIRS and Bruker IFS125 HR observations (Fig. 14.2). The increase rate for 2005−2010 is (1.0 ± 0.4)% per year. The linear trend of CH4 (near Saint-Petersburg) for the whole measurement period (1991−2010) amounts to (0.16 ± 0.1)% per year.
In Fig. 14.3 data on the stratospheric O3 column retrieved from ground-based OceanOptics UV (top) and stratospheric NO2 column retrieved from ground-based KSVU and OceanOptics VIS (bottom) measurements near Saint-Petersburg are compared with collocated satellite (Aura OMI instrument) and Envisat SCIAMACHY measurements, respectively. Reasonable agreement between the two types of data for both measurements is evident – the relative difference is +2.4 ± 4.3% for O3 and 2 ± 48% for NO2.
In Fig. 14.4 ground-based measurements of the NO2 tropospheric column (KSVU) are compared with calculations using the HYSPLIT dispersion model and the correlative satellite OMI data in winter–spring 2006. There is qualitative agreement between the simulated (HYSPLIT) and measured (KSVU, OMI) tropospheric NO2 variations. Currently, NO2 can also be measured with a DOAS mobile device.
14.4 Combined Measurements of Atmospheric Trace Gases with a High Spectral Resolution
Since 2009 combined measurements of atmospheric trace gases have been performed using the Fourier-spectrometer Bruker IFS-125 with a high spectral resolution. In Table 14.2 the spectral windows used for the retrieved TCA of different gases and retrieval errors are given.
The spectral intervals used for trace gas retrieval are obtained from the recommendations of NDACC stations for such kinds of measurements as well as from preliminary analysis of measured and calculated spectra (e.g., Virolainen et al. [19]).
In Table 14.3 the annual-average N2O TCA near Saint-Petersburg measured by a Fourier spectrometer (SPbSU) is compared with the same values for a number of NDACC stations.
One can see that the mean values and annual variability of N2O TCA is very similar for all of the listed stations (mid and high latitudes).
The results of ozone TCA ground-based measurements by Fourier spectrometer, Dobson spectrometer, ozonometer M-124 and satellite OMI measurements near Saint-Petersburg are compared in Fig. 14.5. Measurements by the Dobson spectrophotometer and M-124 filter ozonometer were carried out at the Main Geophysical Observatory in Voeikovo (50 km to the north-east of Peterhof), satellite measurements are collocated in space to ground-based measurements within about 100 km.
It is clearly evident that the different types of measurements are in good qualitative coincidence. The amplitude of ozone TCA changes obtained by Bruker spectrometer data are slightly less than by the OMI or M-124 data, especially in the early spring period of measurements, when the TCA values are sufficiently large (around 400 DU). In addition, one can see that the Bruker spectrometer data for August 2009 at small TCA values (less than 300 DU) are somewhat overestimated in comparison with the other probes.
The results of numerical pair-wise comparison of different O3 TCA measurements are given in Table 14.4. The period of comparison dates to 2009, from early spring to late fall, 52 sunny days of simultaneous measurements in total. The measurements under consideration use a F3 filter allocating the spectral range from 650 to 1,400 cm–1. The spectral resolution of the measurements in the chosen spectral ensemble was 0.005–0.008 cm–1. The average and rms errors, as well as the coefficients of correlation between measurements by different probes, are presented. The correlation coefficients are close to unity with a maximum value of 0.97 for the Bruker–M-124 pair.
Analyzing the rms error, it can be seen that the maximum (4%) is observed between the ground-based measurements by the Bruker spectrometer and the results of the OMI satellite measurements. The rms between TOC measurements with the help of OMI and M_124 probes is also close to 4%. The rms error between the Peterhof and Voeikovo measurements is 3–3.5%. These errors can be explained by both the errors of the measurements themselves and the spatial and temporal variations of ozone.
In addition to the correlations shown in Table 14.4, Fig. 14.6 demonstrates the rate of consistency between the measurement results depending on the ozone TCA value. The average TCA value over all ensembles is around 330 DU; the rms value is around 45 DU (around 15%). It can be seen from Fig. 14.6 that the M-124 and Dobson spectrophotometer data are very linear (this is also because there are no shifts between these data); at the same time, the comparison between OMI and Bruker spectrometer data reveals that the TCA values for OMI are slightly higher. This is more apparent for ozone TCA values of around 340–400 DU (i.e., above average).
Measured monthly average values of the СО2 TCA near Saint-Petersburg in 2009−2011 and their variations are given in Table 14.5.
It is seen that the maximum in CO2 variability is observed in April 2009–2010, in July 2009 and during the summer months ion 2011 (more than 10 ppm and, consequently, more than 3% of mean values). The observed means of СО2 TCA refer to 2010.
Ground-based measurements of the HF TCA by Fourier-spectrometer Bruker IFS-125 were carried out during April 2009−April 2010. The random and systematical errors of the HF TCA measurement are 1–5% and 5–6%, respectively. The mean values and rms variations of the HF TCA are 1.77 × 1015 cm−2 and 21%, respectively. The results are in good agreement with other ground-based (NDACC data) and satellite (ACE-FTS) measurements (Fig. 14.7).
The numerical values of this comparison of ground-based (Bruker) and satellite (ACE experiment) measurements are presented in Table 14.6. The columns refer to 500 and 1,000 km distance coincidence of the considered measurements. One can see that the mean difference in both ensembles totals 8%, rms – 11 and 15% for 500 and 1,000 km, respectively.
Results from a comparison of the NO2 TCA ground-based (using DOAS method to zenith scattered solar radiation measurements and measurements of direct Sun spectra by Fourier-spectrometer Bruker IFS-125) and satellite measurements (Aura OMI instrument) are shown in Fig. 14.8.
One can see that the Bruker measurements of the NO2 TCA are in good quantitative agreement with the OMI data (a little bit higher in summer maximum). The OceanOptics results have a larger spread of measurement values.
14.5 Summary
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1.
A large number of atmospheric trace gases are being measured since the early 1990s by different ground-based devices using different interpretation methods at SPbSU.
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2.
Currently, NO2 is measured with a DOAS mobile device. In the near future other gases will be measured with the mobile FTIR spectrometer.
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3.
Temporal variations (from diurnal cycles to long-term trends) of trace gases are studied on the basis of experimental data.
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4.
Trace gases measurements are being used for validation of satellite data.
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5.
Further development of techniques for retrieving profiles of trace gases and increasing the number of retrieved trace gases are planned.
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Acknowledgements
In this work, measurements of The Atmospheric Chemistry Experiment (ACE), supported by Canada Space Agency and National Center for Scientific and Engineering Research, were used. The work was partly supported by the Ministry of Education and Science of Russian Federation in the frame of Federal special-purpose program “Scientific and Educational Manpower of Innovative Russia” (contracts No 969 of 27.05.2010 and No 16.740.11.0048 of 31.08.2010) and by SPSU (research projects 11.31.547.2010 and 11.37.28.2011).
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Timofeyev, Y. et al. (2013). Measurements of Trace Gases at Saint-Petersburg State University (SPbSU) in the Vicinity of Saint-Petersburg, Russia. In: Barnes, I., Rudziński, K. (eds) Disposal of Dangerous Chemicals in Urban Areas and Mega Cities. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5034-0_14
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