Zou, M., Xiong, X., Wu, Z., Li, S., Zhang, Y., & Chen, L. (2019). Increase of Atmospheric Methane Observed from Space-Borne and Ground-Based Measurements.
Remote Sensing, 11(8).
Abstract: It has been found that the concentration of atmospheric methane (CH4) has rapidly increased since 2007 after a decade of nearly constant concentration in the atmosphere. As an important greenhouse gas, such an increase could enhance the threat of global warming. To better quantify this increasing trend, a novel statistic method, i.e. the Ensemble Empirical Mode Decomposition (EEMD) method, was used to analyze the CH4 trends from three different measurements: the mid-upper tropospheric CH4 (MUT) from the space-borne measurements by the Atmospheric Infrared Sounder (AIRS), the CH4 in the marine boundary layer (MBL) from NOAA ground-based in-situ measurements, and the column-averaged CH4 in the atmosphere (X-CH4) from the ground-based up-looking Fourier Transform Spectrometers at Total Carbon Column Observing Network (TCCON) and the Network for the Detection of Atmospheric Composition Change (NDACC). Comparison of the CH4 trends in the mid-upper troposphere, lower troposphere, and the column average from these three data sets shows that, overall, these trends agree well in capturing the abrupt CH4 increase in 2007 (the first peak) and an even faster increase after 2013 (the second peak) over the globe. The increased rates of CH4 in the MUT, as observed by AIRS, are overall smaller than CH4 in MBL and the column-average CH4. During 2009-2011, there was a dip in the increase rate for CH4 in MBL, and the MUT-CH4 increase rate was almost negligible in the mid-high latitude regions. The increase of the column-average CH4 also reached the minimum during 2009-2011 accordingly, suggesting that the trends of CH4 are not only impacted by the surface emission, however that they also may be impacted by other processes like transport and chemical reaction loss associated with [OH]. One advantage of the EEMD analysis is to derive the monthly rate and the results show that the frequency of the variability of CH4 increase rates in the mid-high northern latitude regions is larger than those in the tropics and southern hemisphere.
Selman, C., Misra, V., Stefanova, L., Dinapoli, S., & Smith III, T. J. (2013). On the twenty-first-century wet season projections over the Southeastern United States.
Reg Environ Change, 13(S1), 153–164.
Cammarano, D., Stefanova, L., Ortiz, B. V., Ramirez-Rodrigues, M., Asseng, S., Misra, V., et al. (2013). Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US.
Reg Environ Change, 13(S1), 101–110.
Misra, V., DiNapoli, S. M., & Bastola, S. (2013). Dynamic downscaling of the twentieth-century reanalysis over the southeastern United States.
Reg Environ Change, 13(S1), 15–23.
Misra, V., Li, H., Wu, Z., & DiNapoli, S. (2014). Global seasonal climate predictability in a two tiered forecast system: part I: boreal summer and fall seasons.
Clim Dyn, 42(5-6), 1425–1448.
Misra, V., Stroman, A., & DiNapoli, S. (2013). The rendition of the Atlantic Warm Pool in the reanalyses.
Clim Dyn, 41(2), 517–532.
Misra, V., & DiNapoli, S. M. (2013). The observed teleconnection between the equatorial Amazon and the Intra-Americas Seas.
Clim Dyn, 40(11-12), 2637–2649.
Misra, V., & DiNapoli, S. M. (2013). Understanding the wet season variations over Florida.
Clim Dyn, 40(5-6), 1361–1372.
Misra, V., Pantina, P., C. Chan, S., & DiNapoli, S. (2012). A comparative study of the Indian summer monsoon hydroclimate and its variations in three reanalyses.
Clim Dyn, 39(5), 1149–1168.
Misra, V., DiNapoli, S., & Powell, M. (2013). The Track Integrated Kinetic Energy of Atlantic Tropical Cyclones.
Mon. Wea. Rev., 141(7), 2383–2389.