
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors

doi: 10.3390/atmos8050085
handle: 1854/LU-8527824
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.
- Xinjiang Institute of Ecology and Geography China (People's Republic of)
- Ghent University Belgium
- Chinese Academy of Sciences China (People's Republic of)
- State Key Laboratory of Desert and Oasis Ecology China (People's Republic of)
- University of Chinese Academy of Sciences China (People's Republic of)
NPP, CO<sub>2</sub>; GOSAT; Central Asia; statistical analysis; spatial and temporal distribution; wind; NPP; energy consumption, CHINA, VALIDATION, GOSAT, SCIAMACHY, CARBON-DIOXIDE, METHANE, Central Asia, statistical analysis, RETRIEVAL ALGORITHM, energy consumption, distribution, wind, ATMOSPHERIC CO2, SATELLITE, spatial and temporal, Earth and Environmental Sciences, CO2, ELEVATED CO2, RESPONSES
NPP, CO<sub>2</sub>; GOSAT; Central Asia; statistical analysis; spatial and temporal distribution; wind; NPP; energy consumption, CHINA, VALIDATION, GOSAT, SCIAMACHY, CARBON-DIOXIDE, METHANE, Central Asia, statistical analysis, RETRIEVAL ALGORITHM, energy consumption, distribution, wind, ATMOSPHERIC CO2, SATELLITE, spatial and temporal, Earth and Environmental Sciences, CO2, ELEVATED CO2, RESPONSES
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
