Pubs by Program

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.

Download CSV
Publication Citation Research Program(s)
Kaiser, J., D.J. Jacob, L. Zhu, K. Travis, J.A. Fisher, G.G. Abad, L. Zhang, X. Zhang, A. Fried, J.D. Crounse, J.M. St. Clair, and A. Wisthaler (2018), High-resolution inversion of OMI formaldehyde columns to quantify isoprene emission on ecosystem-relevant scales: application to the southeast US, Atmos. Chem. Phys., 18, 5483-5497, doi:10.5194/acp-18-5483-2018. ACMAP
Kajino, M., S. Hayashida, T.T. Sekiyama, M. Deushi, K. Ito, and X. Liu (2019), Detectability assessment of a satellite sensor for lower tropospheric ozone responses to its precursors emission changes in East Asian summer, Scientific Reports, 9, 19629, doi:10.1038/s41598-019-55759-7. MAP, Atmospheric Composition, ACMAP
Kaku, K.C., J.S. Reid, N.T. O’Neill, P. Quinn, D.J. Coffman, and T.F. Eck (2014), Verification and application of the extended spectral deconvolution algorithm (SDA+) methodology to estimate aerosol fine and coarse mode extinction coefficients in the marine boundary layer, Atmos. Meas. Tech., 7, 3399-3412, doi:10.5194/amt-7-3399-2014. IDS
Kaku, K.C., J.S. Reid, E.A. Reid, K. Ross-Langerman, S.J. Piketh, S. Cliff, A.A. Mandoos, S. Broccardo, Y. Zhao, J. Zhang, and K.D. Perry (2016), Investigation of the relative fine and coarse mode aerosol loadings and properties in the Southern Arabian Gulf region, Atmos. Res., 169, 171-182, doi:10.1016/j.atmosres.2015.09.029.
Kaku, K.C., J.S. Reid, J.L. Hand, E.S. Edgerton, B.N. Holben, J. Zhang, and R.E. Holz (2018), Assessing the Challenges of Surface-Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States, J. Geophys. Res., 123, 7530-7562, doi:10.1029/2017JD028074. ACMAP
Kalashnikova, O.V., and R.A. Kahn (2006), Ability of multiangle remote sensing observations to identify and distinguish mineral dust types: 2. Sensitivity over dark water, J. Geophys. Res., 111, D11207, doi:10.1029/2005JD006756. ACMAP, RSP
Kalashnikova, O.V., and R.A. Kahn (2008), Mineral dust plume evolution over the Atlantic from MISR and MODIS aerosol retrievals, J. Geophys. Res., 113, D24204, doi:10.1029/2008JD010083. ACMAP, RSP
Kalashnikova, O.V., R.A. Kahn, I. Sokolik, and W.-H. Li (2005), Ability of multiangle remote sensing observations to identify and distinguish mineral dust types: Optical models and retrievals of optically thick plumes, J. Geophys. Res., 110, D18S14, doi:10.1029/2004JD004550. ACMAP, RSP
Kalashnikova, O.V., F.P. Mills, A. Eldering, and D. Anderson (2007), Application of satellite and ground-based data to investigate the UV radiative effects of Australian aerosols, Remote Sensing of Environment, 107, 65-80, doi:10.1016/j.rse.2006.07.025. RSP
Kalashnikova, O.V., M.J. Garay, A.B. Davis, D.J. Diner, and J. Martonchik (2011), Sensitivity of multi-angle photo-polarimetry to vertical layering and mixing of absorbing aerosols: Quantifying measurement uncertainties, J. Quant. Spectrosc. Radiat. Transfer, 112, 2149-2163, doi:10.1016/j.jqsrt.2011.05.010. RSP
Kalashnikova, O.V., M.J. Garay, J. Martonchik, and D.J. Diner (2013), MISR Dark Water aerosol retrievals: operational algorithm sensitivity to particle non-sphericity, Atmos. Meas. Tech., 6, 1-24, doi:10.5194/amt-6-1-2013. RSP
Kalita, G., P.P. Yadav, R. Jat, G. Govardhan, R. Ambulkar, R. Kumar, P. Gunwani, S. Debnath, P. Sharma, S. Kulkarni, A. Kaginalkar, and S. Ghude (2023), Forecasting of an unusual dust event over western India by the Air Quality Early Warning System, Atmos. Environ., 311, 120013, doi:10.1016/j.atmosenv.2023.120013. ASP
Kalmus, P., M.D. Lebsock, Jo, and O. Teixeira (2014), Observational Boundary Layer Energy and Water Budgets of the Stratocumulus-to-Cumulus Transition, J. Climate, 27, 9155-9170, doi:10.1175/JCLI-D-14-00242.1.
Kalmus, P., B. Kahn, S.W. Freeman, and S. van den Heever (2019), Trajectory-Enhanced AIRS Observations of Environmental Factors Driving Severe Convective Storms, Mon. Wea. Rev., 147, 1633-1653, doi:10.1175/MWR-D-18-0055.1.
Kaminski, J.W., L. Neary, J. Struzewska, J.C. McConnell, A. Lupu, J. Jarosz, K. Toyota, S.L. Gong, and J. Côté (2008), GEM-AQ, an on-line global multiscale chemical weather modelling system: model description and evaluation of gas phase chemistry processes, Atmos. Chem. Phys., 8, 3255-3281, doi:10.5194/acp-8-3255-2008.
Kanakidou, M., H.B. Singh, K.M. Valentin, and P.J. Crutzen (1991), A 2-D Model Study of Ethane and Propane Oxidation in the Troposphere, J. Geophys. Res., 96, 15,395-15.
Kang, J., E. Kalnay, J. Liu, I. Fung, T. Miyoshi, and K. Ide (2011), “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation, J. Geophys. Res., 116, D09110, doi:10.1029/2010JD014673.
Kang, J., E. Kalnay, T. Miyoshi, J. Liu, and I. Fung (2012), Estimation of surface carbon fluxes with an advanced data assimilation methodology, J. Geophys. Res., 117, D24101, doi:10.1029/2012JD018259.
Kang, M., M.H. Ahn, X. Liu, U. Jeong, and J. Kim (2020), Spectral Calibration Algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS), Remote Sensing, 12, doi:10.3390/rs12172846. Atmospheric Composition
Kao, D., M. Kramer, A. Love, J. Dungan, and A. Pang (2005), Visualizing distributions from multi-return lidar data to understand forest structure, The Cartographic Journal , Special issue on GeoVisualization, 42, 35-47.
Download CSV