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.

Publication Citation Research Program(s)
Noyes, K.T.J., and R.A. Kahn (2024), Satellite Multi-Angle Observations of Wildfire Smoke Plumes During the CalFiDE Field Campaign: Aerosol Plume Heights, Particle Property Evolution, and Aging Timescales, J. Geophys. Res.. ASP, ACMAP
Noyes, K.J., R. Kahn, A. Sedlacek, L. Kleinman, J. Limbacher, and Z. Li (2020), Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging, doi:10.3390/rs12050769. Atmospheric Composition, ACMAP
Noyes, K.T.J., R.A. Kahn, J.A. Limbacher, and Z. Li (2022), Canadian and Alaskan Wildfire Smoke Particle Properties, Their Evolution, and Controlling Factors, Using Satellite Observations. Atm. Chem. Phys., 22, 10267-10290, doi:10.5194/acp-22-10267-2022. Atmospheric Composition, ACMAP, Climate Variability and Change Program
Noyes, K.T.J., R.A. Kahn, J.A. Limbacher, Z. Li, M.A. Fenn, D.M. Giles, J.W. Hair, J.M. Katich, R.H. Moore, C.E. Robinson, K.J. Sanchez, T.J. Shingler, K.L. Thornhill, E.B. Wiggins, and E.L. Winstead (2022), Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign, doi:10.3390/rs12223823. ASP, ACMAP
Noyes, K.J., R. Kahn, A. Sedlacek, L. Kleinman, J. Limbacher, and Z. Li (2022), Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging, doi:10.3390/rs12050769. ASP, ACMAP
Nuijens, L., and L.W. O’Neill (2024), The air‐sea interaction (ASI) sub-mesoscale: Physics and impact, NSF NCAR and UCAR Research: Reports and Report Chapters, doi:10.5065/78ac-qd31.
Nussbaumer, E.A., and R.T. Pinker (2012), Estimating surface longwave radiative fluxes from satellites utilizing artificial neural networks, J. Geophys. Res., 117, D07209, doi:10.1029/2011JD017141.
O’Brien, D.M., I. Polonsky, P. Stephens, and T.E. Taylor (2010), Feasibility of Cloud Screening Using Proxy Photon Pathlength Distributions Derived from High-Resolution Spectra in the Near Infrared, J. Atmos. Oceanic Technol., 27, 135-146, doi:10.1175/2009JTECHA1340.1.
O’Byrne, G., R.V. Martin, A. van Donkelaar, J. Joiner, and E.A. Celarier (2010), Surface reflectivity from the Ozone Monitoring Instrument using the Moderate Resolution Imaging Spectroradiometer to eliminate clouds: Effects of snow on ultraviolet and visible trace gas retrievals, J. Geophys. Res., 115, D17305, doi:10.1029/2009JD013079.
O’Doherty, S., M. Rigby, J. Mühle, D.J. Ivy, B.R. Miller, D. Young, P.G. Simmonds, S. Reimann, M.K. Vollmer, P.B. Krummel, P.J. Fraser, L.P. Steele, B. Dunse, P.K. Salameh, C.M. Harth, T. Arnold, R.F. Weiss, J. Kim, S. Park, S. Li, C. Lunder, O. Hermansen, N. Schmidbauer, L.X. Zhou, B. Yao, R.H.J. Wang, A.J. Manning, and R.G. Prinn (2014), Global emissions of HFC-143a (CH3CF3) and HFC-32 (CH2F2) from in situ and air archive atmospheric observations, Atmos. Chem. Phys., 14, 9249-9258, doi:10.5194/acp-14-9249-2014.
O’Neill, L.W., D.B. Chelton, E. Rodriguez, R. Samelson, and A. Wineteer (2024), Feasibility of estimating sea surface height from surface ocean currents, J. Atmos. Oc. Tech., 41, 475-497, doi:10.1175/JTECH-D-23-0096.1.. POP
O’Neill, N.T., T.F. Eck, J.S. Reid, A. Smirnov, and O. Pancrati (2008), Coarse mode optical information retrievable using ultraviolet to short-wave infrared Sun photometry: Application to United Arab Emirates Unified Aerosol Experiment data, J. Geophys. Res., 113, D05212, doi:10.1029/2007JD009052.
O'Connor, M.T., M.B. Cardenas, S.B. Ferencz, Y. Wu, B.T. Neilson, J. Chen, and G.W. Kling (2020), Empirical Models for Predicting Water and Heat Flow Properties of Permafrost Soils, Geophys. Res. Lett., 47, e2020GL087646, doi:10.1029/2020GL087646. THP
O’Dell, C.W., B. Connor, H. Bösch, D. O’Brien, C. Frankenberg, R. Castano, M. Christi, D. Eldering, B. Fisher, M. Gunson, J. McDuffie, C.E. Miller, V. Natraj, F. Oyafuso, I. Polonsky, M. Smyth, T. Taylor, G.C. Toon, P.O. Wennberg, and D. Wunch (2012), The ACOS CO2 retrieval algorithm – Part 1: Description and validation against synthetic observations, Atmos. Meas. Tech., 5, 99-121, doi:10.5194/amt-5-99-2012.
O’Dell, C.W., A. Eldering, P.O. Wennberg, D. Crisp, M.R. Gunson, B. Fisher, C. Frankenberg, M. Kiel, H. Lindqvist, L. Mandrake, A. Merrelli, V. Natraj, R.R. Nelson, G.B. Osterman, V.H. Payne, T.E. Taylor, D. Wunch, B.J. Drouin, F. Oyafuso, A. Chang, J. McDuffie, M. Smyth, D.F. Baker, S. Basu, F. Chevallier, S.M.R. Crowell, L. Feng, P.I. Palmer, M. Dubey, O.E. García, D.W.T. Griffith, F. Hase, L.T. Iraci, R. Kivi, I. Morino, J. Notholt, H. Ohyama, C. Petri, C.M. Roehl, M.K. Sha, K. Strong, R. Sussmann, Y. Te, O. Uchino, and V.A. Velazco (2018), Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm, Atmos. Meas. Tech., 11, 6539-6576, doi:10.5194/amt-11-6539-2018.
Oak, Y.J., R.J. Park, J.R. Schroeder, J.H. Crawford, D.R. Blake, A.J. Weinheimer, J.-H. Woo, S.-W. Kim, H. Yeo, A. Fried, A. Wisthaler, and W.H. Brune (2019), Evaluation of simulated O3 production efficiency during the KORUS-AQ campaign: Implications for anthropogenic NOx emissions in Korea, Elem Sci Anth, 7, 56, doi:10.1525/elementa.394. TCP
Oak, Y.J., R.J. Park, D.S. Jo, A. Hodzic, J.L. Jimenez, P. Campuzano-Jost, B.A. Nault, H. Kim, H. Kim, E.S. Ha, C.-K. Song, S.-M. Yi, G.S. Diskin, A.J. Weinheimer, D.R. Blake, A. Wisthaler, M. Shim, and Y. Shin (2022), Evaluation of Secondary Organic Aerosol (SOA) Simulations for Seoul, Korea, J. Adv. Modeling Earth Syst.. TCP
Observatory, O.C., B. Zheng, F. Chevallier, P. Ciais, G. Broquet, Y. Wang, J. Lian, and Y. Zhao (2020), Observing carbon dioxide emissions over China’s cities with the, Atmos. Chem. Phys., doi:10.5194/acp-2020-123.
Oda, T., S. Maksyutov, and R.J. Andres (2018), The Open-source Data Inventory for Anthropogenic CO2 , version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions, Earth Syst. Sci. Data, 10, 87-107, doi:10.5194/essd-10-87-2018. CCEP
Odintsova, T.A., A.E. Fasci, L. Moretti, E.J. Zak, O.L. Polyansky, and A.J. Tennyson (2017), Highly accurate intensity factors of pure CO2 lines near 2 µm, J. Chem. Phys., 146, 244309, doi:10.1063/1.4989925.