The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors

As the main anthropogenic greenhouse gas that contributes most to global warming, CO2 plays an important role in climate changes in Central Asia. Due to the lack of studies of near-surface CO2 in this region, we first confirmed the applicability of the near-surface Greenhouse Gases Observing Satellite (GOSAT) CO2 data in Central Asia using atmospheric CO2 concentration data from nine ground-based station observations. We then analyzed the temporal and spatial distributions of the near-surface CO2 concentrations in Central Asia and their controlling factors using statistical analysis methods. The results show that the near-surface CO2 concentrations are high in the western part of this region and low in the east. From June 2009 to May 2013, the near-surface CO2 concentrations increased gradually, with the highest value being in spring and the lowest in autumn. The temporal distribution of CO2 concentrations is mainly affected by photosynthesis, respiration, and heating. The combined effect of terrestrial ecosystems and CO2 diffusion by wind is responsible for the higher near-surface CO2 concentration in the northern, western, and southwestern areas of the five Central Asian countries compared to the central, eastern, and southern areas, and energy consumption and wind are the major factors that affect the heterogeneity of the spatial distribution of the CO2 concentrations in Xinjiang.

[1]  Maximilian Reuter,et al.  Long-term analysis of carbon dioxide and methane column-averaged mole fractions retrieved from SCIAMACHY , 2010 .

[2]  Luis Guanter,et al.  Agricultural Green Revolution as a driver of increasing atmospheric CO2 seasonal amplitude , 2014, Nature.

[3]  Chi Zhang,et al.  Modeling the carbon dynamics of the dryland ecosystems in Xinjiang, China from 1981 to 2007—The spatiotemporal patterns and climate controls , 2013 .

[4]  G. Hegerl,et al.  Detection and attribution of climate change: from global to regional , 2013 .

[5]  P. Rayner,et al.  Correction to “The utility of remotely sensed CO2 concentration data in surface source inversions” , 2001 .

[6]  Min Liu,et al.  Temporal and spatial analysis of global GOSAT XCO2 variations characteristics , 2015, China Symposium on Remote Sensing.

[7]  Michael Buchwitz,et al.  A method for improved SCIAMACHY CO 2 retrieval in the presence of optically thin clouds , 2009 .

[8]  Shixin Wang,et al.  Analysis of the carbon dioxide concentration in the lowest atmospheric layers and the factors affecting China based on satellite observations , 2013 .

[9]  Makoto Saito,et al.  Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations , 2012 .

[10]  Ilse Aben,et al.  Retrievals of atmospheric CO2 from simulated space-borne measurements of backscattered near-infrared sunlight: accounting for aerosol effects. , 2009, Applied optics.

[11]  Park S. Nobel,et al.  Long-term effects of a doubled atmospheric CO2 concentration on the CAM species Agave deserti , 1996 .

[12]  Yoshifumi Ota,et al.  CO2 retrieval algorithm for the thermal infrared spectra of the Greenhouse Gases Observing Satellite: Potential of retrieving CO2 vertical profile from high‐resolution FTS sensor , 2009 .

[13]  Tatsuya Yokota,et al.  Retrieval algorithm for CO 2 and CH 4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite , 2010 .

[14]  Sarah L. Dance,et al.  Estimating surface CO 2 fluxes from space-borne CO 2 dry air mole fraction observations using an ensemble Kalman Filter , 2008 .

[15]  C. Barnet,et al.  On the determination of atmospheric minor gases by the method of vanishing partial derivatives with application to CO2 , 2005 .

[16]  Tatsuya Yokota,et al.  Global Concentrations of CO2 and CH4 Retrieved from GOSAT: First Preliminary Results , 2009 .

[17]  Shu Tao,et al.  Multiannual changes of CO 2 emissions in China: indirect estimates derived from satellite measurements of tropospheric NO 2 columns , 2013 .

[18]  A. Rogers,et al.  Photosynthesis, Productivity, and Yield of Maize Are Not Affected by Open-Air Elevation of CO2 Concentration in the Absence of Drought1[OA] , 2006, Plant Physiology.

[19]  Geping Luo,et al.  Carbon stock and its responses to climate change in Central Asia , 2015, Global change biology.

[20]  P. Rayner,et al.  The utility of remotely sensed CO2 concentration data in surface source inversions , 2001 .

[22]  Hidekazu Matsueda,et al.  First year of upper tropospheric integrated content of CO 2 from IASI hyperspectral infrared observations , 2009 .

[23]  Jing Zhao,et al.  Spatial and temporal distribution characteristics of near-surface CO2 concentration over China based on GOSAT data , 2014, Asia-Pacific Environmental Remote Sensing.

[24]  Christopher B. Field,et al.  Grassland Responses to Global Environmental Changes Suppressed by Elevated CO2 , 2002, Science.

[25]  Hartmut Boesch,et al.  Does GOSAT capture the true seasonal cycle of carbon dioxide , 2015 .

[26]  R. Ghini,et al.  Efeito do aumento da concentração de CO2 atmosférico sobre o oídio e o crescimento de plantas de soja , 2009 .

[27]  Sander Houweling,et al.  Evaluation of various observing systems for the global monitoring of CO2 surface fluxes , 2010 .

[28]  G. Henebry,et al.  Climate and environmental change in arid Central Asia: impacts, vulnerability, and adaptations. , 2009 .

[29]  M. Buchwitz,et al.  SCIAMACHY: Mission Objectives and Measurement Modes , 1999 .

[30]  David T. Gregorich,et al.  AIRS hyper-spectral measurements for climate research : Carbon dioxide and nitrous oxide effects , 2005 .

[31]  S. Dance,et al.  Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman Filter , 2009 .

[32]  Rebecca Castano,et al.  The ACOS CO 2 retrieval algorithm – Part 1: Description and validation against synthetic observations , 2011 .

[33]  Effects of elevated CO2 (FACE) on the functional ecology of the drought-deciduous Mojave Desert shrub, Lycium andersonii , 2002 .

[34]  Liping Lei,et al.  Spatiotemporal correlation analysis of satellite-observed CO2: Case studies in China and USA , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[35]  Akihiko Kuze,et al.  A Comparison of In Situ Aircraft Measurements of Carbon Dioxide and Methane to GOSAT Data Measured Over Railroad Valley Playa, Nevada, USA , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[36]  Tatsuya Yokota,et al.  Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra , 2010 .

[37]  L. Ciattaglia.  Interpretation of atmospheric CO2 measurements at Mt. Cimone (Italy) related to wind data , 1983 .

[38]  Scott C. Doney,et al.  Contribution of ocean, fossil fuel, land biosphere, and biomass burning carbon fluxes to seasonal and interannual variability in atmospheric CO2 , 2008 .

[39]  Scott C. Doney,et al.  Carbon source/sink information provided by column CO 2 measurements from the Orbiting Carbon Observatory , 2008 .

[40]  Stefan Noel,et al.  Global atmospheric monitoring with SCIAMACHY , 1999 .