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Katia Lamer

Research Associate

Katia Lamer is a Research Associate in the Department of Environmental and Climate Sciences at Brookhaven National Laboratory. She has interests in both Earth Sciences and sustainability, but her scientific work is mostly focused on atmospheric boundary layer process and their impact on shallow clouds. Katia was born in Canada and attended McGill University, where she earned a bachelor’s degree in Earth System sciences in 2013 and a master’s degree in Atmospheric and Oceanic sciences in 2014. She then moved to the U.S. to pursue Ph.D. studies under the supervision of Eugene Clothiaux. Her Ph.D research focused on interfacing observations and GCM models to evaluate their representation of mixed-phase clouds. For this purpose, she created the (GO)2-SIM forward simulator as an objective tool that converts model output to observables. Following graduation, Katia worked as a post-doctoral researcher at the City College of New York with Jimmy Booth, where she investigated the impact of large-scale conditions on the properties of rain in subsidence regimes. Since she began her employment at BNL, her work has been focused on characterizing the dynamical structure of New York City’s urban boundary layer.

 

Education

  • Ph.D., Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, United States.
  • M.S., Atmospheric and Oceanic Sciences, McGill University, Montreal, Quebec, Canada.
  • B.S., Earth System Science, McGill University, Montreal, Quebec, Canada.

Areas of Interest

  • Boundary layer turbulence
  • Land-atmosphere interactions
  • Cloud and rain processes
  • Remote sensing
  • Model evaluation

Awards, Honors and Memberships

  • Canada Steamship Lines Award, McGill University, 08/2013.
  • Research Scholarship for the M.S. degree, Fonds de Recherche Nature et Technologies, 04/2013.
  • Student Undergraduate Research Award, Atmospheric and Oceanic Sc., McGill University,  04/2013.
  • Undergraduate Research Conference, 2nd Recipient, Earth Science, McGill University, 10/2012.
  • Student Undergraduate Research Award, Earth Planetary Science, McGill University,  06/2011.
  • Salme Nommik Bursary, McGill University, 10/2011.
  • Tim Hortons Scholarship, McGill University, 10/2010.
  • Membership:  American Geophysical Union

Experience

  • Research Associate, 12/2019-present:  Environmental and Climate Sciences Dept., Brookhaven National Laboratory, Upton, NY
  • Post-Doctoral Researcher, 03/2019-11/2019:  City University of New York, City College, New York, Department of Earth and Atmospheric Sciences
  • Graduate Assistant, 08/2015-12/2018:  The Pennsylvania State University, University Park, Pennsylvania, Department of Meteorology and Atmospheric Science
  • Research Assistant, 12/2014-08/2015:  McGill University, Montreal, Quebec, Canada
    Department of Atmospheric and Oceanic Sciences
  • Undergraduate Student Research Assistant,  02/2014-04/2014:  McGill University, Montreal, Quebec, Canada, Department of Atmospheric and Oceanic Sciences

Selected Publications

Kollias P. and coauthors (submitted to GRL). Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras.

Battaglia A. and coauthors (undergoing revision, AMT). Mind the Gap Part 2: Improving quantitative estimates of cloud and rainwater path in oceanic warm rain using spaceborne radars.

Battaglia A. and coauthors (undergoing revision, Review of Geophysics). Space-borne cloud and precipitation radars: status, challenges and ways forward.

Lamer, K. and coauthors (submitted to AGU-Wiley). chapter on Surface-based remote sensing of key properties, in the book Fast Physics in Large Scale Atmospheric Models: Parameterization, Evaluation, and Observations, edited by Y. Liu, P. Kollias and L. J. Donner.

Lamer, K. and coauthors (accepted, AMT). Mind-the-Gap Part 1: Precise Detection of Low-level Cloud and Precipitation Boundaries using Spaceborne Radars.

Naud D. and coauthors (accepted, JGR: Atmospheres). On the Relationship Between The Marine Cold Air Outbreak M Parameter And Low-Level Cloud Heights In The Midlatitudes.

Kollias, P., and coauthors (accepted, BAMS). The ARM Radar Network: At the Leading-edge of Cloud and Precipitation Observations.

Lamer K., and coauthors (2020). Relationships between precipitation properties and large-scale conditions during subsidence at the eastern north Atlantic observatory. JGR: Atmospheres, 124.

Zhu, Z., K. Lamer and coauthors (2019). The Vertical Structure of Liquid Water Content in Shallow Clouds as Retrieved from Dual-wavelength Radar Observations. JGR-Atmospheres, 124, no. 24 (2019): 14184-14197.

Endo, S. and coauthors (2019). Reconciling differences between large-eddy simulations and Doppler-lidar observations of continental shallow cumulus cloud-base vertical velocity, GRL, 46(20), 11539-11547.

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.

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 Photonic.

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(10), 4195-4214.

Berg L. and coauthors (2016). The Two-Column Aerosol Project: Phase I--Overview and impact of elevated aerosol layers on aerosol optical depth. JGR: Atmospheres 121(1), 336-361.

Lamer K. and P. Kollias (2015). Observations of fair-weather cumuli over land: Dynamical factors controlling cloud size and cover. Geophysic. Res. Lettrs 42(20), 8693-8701.

Lamer K., P. Kollias, and L. Nuijens (2015). Observations of the variability of shallow trade wind cumulus cloudiness and mass flux. JGR: Atmospheres 120(12), 6161-6178.

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.

Kollias P. and coauthors (2014). Scanning ARM cloud radars. Part II: Data quality control and processing. J. Atmos. Oceanic Technol. 31(3), 583-598.