This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

Publication Citation Research Program(s)
(2014), Comparison of NCEP/NCAR and ERA-40 total cloud cover with surface observations over the Tibetan Plateau., Int. J. Climatol., 34, 2529-2537, doi:10.1002/joc.3852.
(2014), A generalized method for discriminating thermodynamic phase and retrieving cloud optical thickness and effective radius using transmitted shortwave radiance spectra, Atmos. Meas. Tech., 7, 5293-5346, doi:10.5194/amtd-7-5293-2014.
Abalos, M., W. Randel, and E. Serrano (2014), Dynamical Forcing of Subseasonal Variability in the Tropical Brewer–Dobson Circulation, J. Atmos. Sci., 71, 3439-3453, doi:10.1175/JAS-D-13-0366.1. UARP
Abhik, S., P. Mukhopadhyay, and B. N. Goswami (2014), Evaluation of mean and intraseasonal variability of Indian summer monsoon simulation in ECHAM5: identification of possible source of bias, Clim. Dyn., 43, 389-406, doi:10.1007/s00382-013-1824-7.
Agustí-Panareda, A., et al. (2014), Forecasting global atmospheric CO2, Atmos. Chem. Phys., 14, 11959-11983, doi:10.5194/acp-14-11959-2014.
Ahn, C., O. Torres, and H. Jethva (2014), Assessment of OMI near-UV aerosol optical depth over land, J. Geophys. Res., 119, 2457-2473, doi:10.1002/2013JD020188.
Ambrosia, V., and T. Zajkowski (2014), Selection of Appropriate Class UAS/Sensors to Support Fire Monitoring, Real-Life Experiences in the US, Handbook of Unmanned Aerial Vehicles, edited by K. P. Valavanis and G. J. Vachtsevanos. New York: Springer Verlag; ISBN 978-9048197064.
Anenberg, et al. (2014), Impacts of intercontinental transport of anthropogenic fine particulate matter on human mortality, Air Qual. Atmo. Health, doi:10.1007/s11869-014-0248-9.
Anenberg, S., et al. (2014), Impacts of intercontinental transport of anthropogenic fine particulate matter on human mortality, Air Quality, Atmosphere & Health, doi:10.1007/s11869-014-0248-9. ACMAP
Arnold, T., et al. (2014), HFC-43-10mee atmospheric abundances and global emission estimates, Geophys. Res. Lett., 41, 2228-2235, doi:10.1002/2013GL059143.
Aschmann, J., et al. (2014), On the hiatus in the acceleration of tropical upwelling since the beginning of the 21st century, Atmos. Chem. Phys., 14, 12803-12814, doi:10.5194/acp-14-12803-2014. UARP
Balashov, N. V., et al. (2014), Surface ozone variability and trends over the South African Highveld from 1990 to 2007, J. Geophys. Res., 119, doi:10.1002/2013JD020555. UARP
Baran, A. J., et al. (2014), A self-consistent scattering model for cirrus. II: The high and low frequencies, Q. J. R. Meteorol. Soc., 140, 1039-1057, doi:10.1002/qj.2193.
Barker, H. W., J. N. S. Colea, and M. W. Shepharda (2014), Estimation of errors associated with the EarthCARE 3D scene construction algorithm, Q. J. R. Meteorol. Soc., 140, 2260-2271, doi:10.1002/qj.2294.
Barth, M., et al. (2014), The Deep Convective Clouds and Chemistry (DC3) Field Campaign,, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-13-00290.1. TCP
Behrangi, A., et al. (2014), An Update on the Oceanic Precipitation Rate and Its Zonal Distribution in Light of Advanced Observations from Space, J. Climate, 27, 3957-3965, doi:10.1175/JCLI-D-13-00679.1.
Behrangi, A., et al. (2014), What does CloudSat reveal about global land precipitation detection by other spaceborne sensors?, Water Resour. Res., 50, 4893-4905, doi:10.1002/2013WR014566.
Behrangi, A., et al. (2014), Satellite-Based Precipitation Estimation and Its Application for Streamflow Prediction over Mountainous Western U.S. Basins, J. Appl. Meteor. Climat., 53, 2823-2842, doi:10.1175/JAMC-D-14-0056.1.
Bellomo, K., et al. (2014), Observational and Model Estimates of Cloud Amount Feedback over the Indian and Pacific Oceans, J. Climate, 27, 925-940, doi:10.1175/JCLI-D-13-00165.1. RSP
Bergman, J., et al. (2014), Analyzing dynamical curculations in the tropical tropopause layer through empirical predictions of cirrus cloud distributions, J. Geophys. Res., 119, 2831-2845, doi:10.1002/2013JD021295.

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