Publications for AQUA-AIRS

Publication Citation
Devasthale, A., J. Sedlar, B. Kahn, M. Tjernström, E.J. Fetzer, B. Tian, J. Teixeira, and T.S. Pagano (2016), A Decade Of Spaceborne Observations Of The Arctic Atmosphere: Novel Insights from NASA’s AIRS Instrument, Bull. Am. Meteorol. Soc., 97, 2163-2176, doi:10.1175/BAMS-D-14-00202.1.
Ding, F., A. Savtchenko, T.J. Hearty, J. Wei, M. Theobald, B. Vollmer, B. Tian, and E.J. Fetzer (2020), Assessing the Impacts of Two Averaging Methods on AIRS Level 3 Monthly Products and Multiyear Monthly Means, J. Atmos. Oceanic Technol., 37, 1027-1050, doi:10.1175/JTECH-D-19-0129.1.
Gahtan, J., and B. Tian (2022), Stratospheric Kelvin Wave Activity as a Function of Equivalent Depth in AIRS and Reanalysis Datasets, J. Geophys. Res., 127, e2021JD035572, doi:10.1029/2021jd035572.
Hearty, T.J., A. Savtchenko, B. Tian, E.J. Fetzer, Y. Yung, M. Theobald, B. Vollmer, E. Fishbein, and Y.-I. Won (2014), Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis, J. Geophys. Res., 119, 2725-2741, doi:10.1002/2013JD021205.
Huang, X., X. Chen, G.L. Potter, L. Oreopoulos, J.N.S. Cole, D. Lee, and N. Loeb (2014), A Global Climatology of Outgoing Longwave Spectral Cloud Radiative Effect and Associated Effective Cloud Properties, J. Climate, 27, 7475-7492, doi:10.1175/JCLI-D-13-00663.1.
Li, K., B. Tian, D.E. Waliser, and Y. Yung (2010), Tropical mid-tropospheric CO2 variability driven by the Madden–Julian oscillation, Proc. Natl. Acad. Sci., 107, 19171-19175, doi:10.1073/pnas.1008222107.
Liang, C.K., A. Eldering, A. Gettelman, B. Tian, S. Wong, E.J. Fetzer, and K. Liou (2011), Record of tropical interannual variability of temperature and water vapor from a combined AIRS‐MLS data set, J. Geophys. Res., 116, D06103, doi:10.1029/2010JD014841.
Tian, B. (2015), Spread of model climate sensitivity linked to double-Intertropical Convergence Zone bias, Geophys. Res. Lett., 42, 4133-4141, doi:10.1002/2015GL064119.
Tian, B., and T.J. Hearty (2020), Estimating and removing the sampling biases of the AIRS Obs4MIPs V2 data, Earth and Space Science, 7, e2020EA001438, doi:10.1029/2020EA001438.
Tian, B., E.J. Fetzer, and E.M. Manning (2019), The Atmospheric Infrared Sounder Obs4MIPs version 2 data set., Earth and Space Science, 6, 324-333, doi:10.1029/2018EA000508.
Tian, B., D.E. Waliser, E.J. Fetzer, B. Lambrigtsen, Y. Yung, and B. Wang (2006), Vertical Moist Thermodynamic Structure and Spatial–Temporal Evolution of the MJO in AIRS Observations, J. Atmos. Sci., 63, 2462-2485.
Tian, B., Y. Yung, D.E. Waliser, T. Tyranowski, L.(. Kuai, E.J. Fetzer, and B. Irion (2007), Intraseasonal variations of the tropical total ozone and their connection to the Madden-Julian Oscillation, Geophys. Res. Lett., 34, L08704, doi:10.1029/2007GL029451.
Tian, B., D.E. Waliser, E.J. Fetzer, and Y. Yung (2010), Vertical Moist Thermodynamic Structure of the Madden–Julian Oscillation in Atmospheric Infrared Sounder Retrievals: An Update and a Comparison to ECMWF Interim Re-Analysis, Mon. Wea. Rev., 138, 4576-4582, doi:10.1175/2010MWR3486.1.
Waliser, D.E., B. Tian, X. Xie, W.T. Liu, M.J. Schwartz, and E.J. Fetzer (2009), How well can satellite data characterize the water cycle of the Madden-Julian Oscillation?, Geophys. Res. Lett., 36, L21803, doi:10.1029/2009GL040005.
Wong, S., E.J. Fetzer, B. Tian, B. Lambrigtsen, and H. Ye (2011), The Apparent Water Vapor Sinks and Heat Sources Associated with the Intraseasonal Oscillation of the Indian Summer Monsoon, J. Climate, 24, 4466-4479, doi:10.1175/2011JCLI4076.1.
Lauren Zamora, L.M., and R.A. Kahn (2020), Saharan dust aerosols change deep convective cloud prevalence, possibly by inhibiting marine new particle formation, J. Climate, 33, 9467-9477, doi:10.1175/JCLI-D-20-0083.1.

 

Disclaimer: This material is being kept online for historical purposes. Though accurate at the time of publication, it is no longer being updated. The page may contain broken links or outdated information, and parts may not function in current web browsers. Visit https://espo.nasa.gov for information about our current projects.