Comparative evaluation of XCO2 concentration among climate types within India region using OCO-2 signatures
The XCO 2 concentration across climate type remains largely unexplored. This paper examined carbon concentration across climate types in India using Level 2 data (378,050 sample points) of column-averaged CO 2 concentrations (XCO 2 ) that were collected from the orbiting carbon observatory (OCO-2) i...
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Veröffentlicht in: | Spatial information research (Online) 2016, 24(6), 93, pp.679-688 |
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Sprache: | eng |
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Zusammenfassung: | The XCO
2
concentration across climate type remains largely unexplored. This paper examined carbon concentration across climate types in India using Level 2 data (378,050 sample points) of column-averaged CO
2
concentrations (XCO
2
) that were collected from the orbiting carbon observatory (OCO-2) in September 2014 to August 2015. Temperate climate ranks first among climate types in terms of energy demand and carbon dioxide (CO
2
) emissions due to continued intensive urbanization. However, urbanization in temperate climate was not the most important predictor of higher XCO
2
concentration in India. On the contrary, the annual XCO
2
mean concentration in tropical climate was higher than annual XCO
2
mean concentration in temperate climate. In contrast to the typical theory, temperate climate were not a dominant determining factor upon dense XCO
2
concentration. A clear verification has been made for the typical theory for CO
2
concentration increased across global urbanization. The individual climate types are found to be more appropriate in explaining global CO
2
concentration, rather than urban location. It was demonstrated that the climate types could be used effectively as an indicator to global CO
2
concentrations since the OCO-2 signature of 378,050 sample points can present objective area-wide evidences as a basis for regional climate comparisons. It is anticipated that this research output could be used as a valuable reference to a strong theoretical basis to compare carbon concentrations across climate types. |
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ISSN: | 2366-3286 2366-3294 |
DOI: | 10.1007/s41324-016-0063-5 |