Patterns of CO 2 variability from global satellite data

Journal of Climate

Volumn 25, Issue 18, 2012, Pages 6383-6393

  Ruzmaikin, Alexander ^a   Aumann, Hartmut H ^a   Pagano, Thomas S ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Climate records; Climate variability; Empirical orthogonal functions; Greenhouse gases; Trends

Indexed keywords

AIR TRANSPORT; ALL-SKY; AQUA SATELLITES; ATMOSPHERIC CO; ATMOSPHERIC INFRARED RADIATION; CLIMATE ANALYSIS; CLIMATE RECORD; CLIMATE VARIABILITY; EMPIRICAL MODE DECOMPOSITION; EMPIRICAL ORTHOGONAL FUNCTION; FIRST PRINCIPAL COMPONENTS; GLOBAL CO; GLOBAL DATA; HIGH LATITUDES; INTERANNUAL; ISENTROPES; MAUNA LOA; PHASE SHIFTED; POTENTIAL TEMPERATURE; SATELLITE DATA; SEMIANNUAL OSCILLATIONS; SOUTHERN OSCILLATION; SPATIAL PATTERNS; TIME VARIABILITY; TRENDS; VERTICAL TRANSPORTS; VERTICAL VELOCITY;

AIR; ATMOSPHERIC PRESSURE; CLIMATOLOGY; GREENHOUSE GASES; PRINCIPAL COMPONENT ANALYSIS;

CARBON DIOXIDE;

AQUA (SATELLITE); CARBON DIOXIDE; CLIMATE CHANGE; EL NINO-SOUTHERN OSCILLATION; GREENHOUSE GAS; PRINCIPAL COMPONENT ANALYSIS; SATELLITE DATA;

EID: 84867671614     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00223.1     Document Type: Article

References (30)

1. Aumann, H. H., and Coauthors, 2003: AIRS/AMSU/HSB on the Aqua mission: Design, science objectives, data products and processing systems. IEEE Trans. Geosci. Remote Sens., 41, 253-264.
2. 2. Geophys. Res. Lett., 32, L22803, doi:10.1029/ 2005GL024165.
3. 2. Geophys. Res. Lett., 35, L17807, doi:10.1029/ 2008GL035022.
4. 2 from high-resolution infrared sounders. J. Geophys. Res., 108, 4064, doi:10.1029/2001JD001443.
5. 2 sources and sinks: Theoretical study in a variational data assimilation framework. J. Geophys. Res., 112, D09307, doi:10.1029/2006JD007375.
6. 2 and other trace gas retrievals. Quart. J. Roy. Meteor. Soc., 129, 2719-2740.
7. Crisp, D., and Coauthors, 2004: The Orbiting Carbon Observatory (OCO) mission. Adv. Space Res., 34, 700-709.
8. 2 concentrations and source estimates. Global Biogeochem. Cycles, 14, 931-943.
9. 2 due to seasonal exchange with land biota. Nature, 386, 240-243.
10. 2 and climate. Tellus, 50B, 1-24.
11. 2 from advanced infrared satellite radiances within an operational 4D-Var data assimilation system: Methodology and first results. J. Geophys. Res., 109, D19309, doi:10.1029/2004JD004777.
12. 2 using ground-based, aircraft, and space-borne data. Atmos. Chem. Phys., 11, 2789- 2803, doi:10.5194/acp-11-2789-2011.
13. 2: Response to seasonal exchanges with the terrestrial biosphere. J. Geophys. Res., 88 (C2), 1281-1294.
14. Garcia, D., 2010: Robust smoothing of gridded data in one and higher dimensions with missing values. Comput. Stat. Data Anal., 54, 1167-1178.
15. Huang, N. E., and Z. Wu, 2008: A review on Hilbert-Huang transform: Method and its applications to geophysical studies. Rev. Geophys., 46, RG2006, doi:10.1029/2007RG000228.
16. Keeling, C. D., 1960: The concentration and isotopic abundances of carbon dioxide in the atmosphere. Tellus, 12, 200-203.
17. 2 interannual variability with empirical orthogonal function/principal component (EOF/PC) analysis. Geophys. Res. Lett., 29, 1921, doi:10.1029/2001GL014419.
18. Lintner, B. R., A. B. Gilliland, and I.Y. Fung, 2004:Mechanisms of convectioninduced modulation of passive tracer interhemispheric transport interannual variability. J. Geophys. Res., 109, D13102, doi:10.1029/2003JD004306.
19. Mahlman, J. D., 1997: Dynamics of transport processes in the upper troposphere. Science, 276, 1079-1083.
20. North, G. R., T. L. Bell, R. F. Cahalan, and F. J. Moeng, 1982: Sampling errors in the estimation of empirical orthogonal functions. Mon. Wea. Rev., 110, 699-706.
21. 2 along the mid-latitude storm track. Geophys. Res. Lett., 38, L09804, doi:10.1029/2011GL047238.
22. Preisendorfer, R. W., and C.D. Mobley, 1988: Principal Component Analyses in Meteorology and Oceanography. Elsevier, 425 pp
23. 2. Science, 316, 1732-1735.
24. 2 derived from ocean-only Atmospheric Infrared Sounder observations. J. Geophys. Res., 113, D18302, doi:10.1029/2007JD009713.
25. 2 seasonal cycle at Mauna Loa to atmospheric transport. Tellus, 55B, 547-554.
26. 2 budget. Science, 247, 1431-1438.
27. 2 retrieved from Atmospheric Infrared Sounder with model predictions: Implications for constraining surface fluxes and lower-to-upper troposphere transport. J. Geophys. Res., 111, D17106, doi:10.1029/2005JD006681.
28. Wofsy, S. C., and Coauthors, 2011: HIAPER Pole-to Pole Observations (HIPPO) fine-grained, global-scale measurements of climatically important atmospheric gases and aerosols. Philos. Trans. Roy. Soc. London, 369A, 2073-2086.
29. 2 retrieved from ground-based near IR solar spectra. Geophys. Res. Lett., 29, 1339, doi:10.1029/2001GL014537.
30. 2 and CH4 retrieved from GOSAT: First preliminary results. SOLA, 5, 160-163.