Patterns of CO₂ Variability from Global Satellite Data
The authors present an analysis of the global midtropospheric CO₂ retrieved for all-sky (clear and cloudy) conditions from measurements by the Atmospheric Infrared Radiation Sounder on board theAquasatellite in 2003–09. The global data coverage allows the identification of the set of CO₂ spatial pat...
Gespeichert in:
Veröffentlicht in: | Journal of climate 2012-09, Vol.25 (18), p.6383-6393 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The authors present an analysis of the global midtropospheric CO₂ retrieved for all-sky (clear and cloudy) conditions from measurements by the Atmospheric Infrared Radiation Sounder on board theAquasatellite in 2003–09. The global data coverage allows the identification of the set of CO₂ spatial patterns and their time variability by applying principal component analysis and empirical mode decomposition. The first, dominant pattern represents 93% of the variability and exhibits the linear trend of 2 ± 0.2 ppm yr−1, as well as annual and interannual dependencies. The single-site record of CO₂ at Mauna Loa compares well with variability of this pattern. The first principal component is phase shifted relative to the Southern Oscillation, indicating a causative relationship between the atmospheric CO₂ and ENSO. The higher-order patterns show regional details of CO₂ distribution and display the semiannual oscillation. The CO₂ distributions are compared with the distribution of two major characteristics of air transport: the vertical velocity and potential temperature surfaces at the same height. In agreement with modeling, CO₂ concentration closely traces the potential temperature surfaces (isentropes) in middle and high latitudes. However, its vertical transport in the tropics, where these surfaces are mostly horizontal, is suppressed. The results are in agreement with the previous results on annual and interannual CO₂ time variability obtained by using the network flask data. This knowledge of the global CO₂ spatial patterns can be useful in climate analyses and potentially in the challenging task of connecting CO₂ sources and sinks with its distribution in the atmosphere. |
---|---|
ISSN: | 0894-8755 1520-0442 |
DOI: | 10.1175/JCLI-D-11-00223.1 |