Peer-Review Publications
See Google scholar page for the most up-to-date list
2022
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25. Lamer, K. and coauthors (in press). Going mobile to address emerging climate equity needs in the heterogeneous urban environment. BAMS
24. Jonghoon, G, and coauthors (in press). Distinct dynamical and structural properties of marine stratocumulus and shallow cumulus clouds in the Eastern North Atlantic. JGR
23. Lamer, K. and coauthors (2022). The impact of heat and inflow wind variations on vertical transport around a supertall building – The One Vanderbilt field experiment. STOTEN, 851, 157834.
22. Kollias, P. and coauthors (2022). Mind-the-gap Part III – Doppler velocity measurements from space. Frontiers, 26.
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2021
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21. Kirshbaum D. and K. Lamer (2021). Climatological Sensitivities of Shallow-Cumulus Bulk Entrainment in Continental and Oceanic Locations. Journal of Atmos. Science. 78(8), 2429–2443
20. Wang J. and coauthors (2021) Aerosol and Cloud Experiments in Eastern North Atlantic (ACE-ENA). Bulletin of the American Meteorological Society, 1-51.
19. Lamer, K. and coauthors (2021) Multi-frequency Radar Observations of Cloud and Precipitation Including the G-band. Journal of Atmos. Meas. Techniques. 14, no. 5: 3615-3629.
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2020 |
18. Lamer, K. and coauthors (2020). Ground-based radars insight into warm marine boundary layer clouds for shaping future spaceborne radar missions. IEEE Radar Conference 1-4
17. Kollias P. and coauthors (2020). Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras. GRL, 47.14 (2020): e2020GL08844016. Battaglia A. and coauthors (2020). Mind the Gap Part 2: Improving quantitative estimates of cloud and rainwater path in oceanic warm rain using spaceborne radars. Atmos. Meas. Tech., 13, 4865–488315. Lamer, K. and coauthors (2020). Mind-the-Gap Part 1: Precise Detection of Low-level Cloud and Precipitation Boundaries using Spaceborne Radars. Atmos. Meas. Tech., 13, 2363–2379
14. Naud D. and coauthors (2020). On the Relationship Between The Marine Cold Air Outbreak M Parameter And Low-Level Cloud Heights In The Midlatitudes. Journal of Geophysical Research: Atmospheres, e2020JD032465.13. Kollias, P., and coauthors (2020). The ARM Radar Network: At the Leading-edge of Cloud and Precipitation Observations. Bulletin of the American Meteorological Society, 101(5), E588-E607.12. Battaglia A. and coauthors (2020). Space-borne cloud and precipitation radars: status, challenges and ways forward. Reviews of Geophysics, e2019RG00068611. Lamer K., and coauthors (2020). Relationships between precipitation properties and large-scale conditions during subsidence at the ARM eastern north Atlantic observatory. JGR: Atmospheres, 124 |
2019 |
9. Endo, S. and coauthors (2019). Reconciling differences between large-eddy simulations and Doppler-lidar observations of continental shallow cumulus cloud-base vertical velocity, GRL8. Lamer, K., and coauthors (2019). Characterization of Shallow Oceanic Precipitation using Profiling and Scanning Radar Observations at the Eastern North Atlantic ARM Observatory, AMT, 12(9), 4931-4947. |
2018 |
7. Kollias P. and coauthors (2018). The EarthCARE Cloud Profiling Radar (CPR) Doppler measurements in deep convection: challenges, post-processing and science applications. Remote Sensing of the Atmosphere, Clouds and Precipitation VII. (Vol. 10776, p. 107760R). International Society for Optics and Photonic6. Lamer, K. and coauthors (2018). (GO)2-SIM: a GCM-oriented ground-observation forward-simulator framework for objective evaluation of cloud and precipitation phase. Geoscientific Model Development 11, no. 10: 4195-4214. |
2015 |
2014 |
2. Lamer K., A. Tatarevic, I. Jo, and P. Kollias (2014). Evaluation of gridded scanning ARM cloud radar reflectivity observations and vertical Doppler velocity retrievals. AMT, 7(4), 1089-1103.1. Kollias P. and coauthors (2014). Scanning ARM cloud radars. Part II: Data quality control and processing. Journal of Atmospheric and Oceanic Technology, 31(3), 583-598. |