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Jacob Carlin

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Data Assimilation & Modeling (DAM)

Job Title:Research Physical Scientist

Affiliation:Federal

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Jacob is a Research Physical Scientist and Federal Team Lead of the Data Assimilation and Modeling (DAM) team within NSSL's Innovations in Modeling, Prediction, Applications, Communication, & Testbeds (IMPACT) Branch. His research focuses on basic and applied research involving dual-polarization radar observations, including developing radar-based algorithms for the NEXRAD network, exploring novel storm-scale radar data assimilation strategies, improving thermodynamic and microphysical retrievals, and understanding observed polarimetric radar signatures through idealized modeling studies.

Education
Degree (Ph.D, M.S, B.A, etc.) Major Subject University or College Name Year (YYYY) (optional)
B.S. Meteorology Rutgers University 2012
M.S. Meteorology University of Oklahoma 2014
Ph.D Meteorology University of Oklahoma 2018
Research Interests
  • Dual-polarization radar
  • Cloud and precipitation microphysics
  • Severe convection
  • Data assimilation
  • Storm-scale modeling
  • Remote sensing and retrievals
Honors & Awards
Award Name Year
AMS Committee on Radar Meteorology Outstanding Early Career Award 2025
Tommy C. Craighead Award for Best Paper in Radar Meteorology 2017
Selected Publications

Carlin, J. T., A. V. Ryzhkov, 2025: What can polarimetric radar signatures of developing downbursts reveal about their intensity?. Journal of Atmospheric Sciences, 82, 10, 2037–2060, doi:10.1175/JAS-D-25-0014.1.

Gibson, M. N., J. T. Carlin, 2025: Analysis of polarimetric radar downburst precursors using automated storm identification and tracking. Weather and Forecasting, 40, 9, 1671–1689, doi:10.1175/WAF-D-24-0222.1.

Liu, P., G. Zhang, J. T. Carlin, J. Gao, 2024: A new melting model and its implementation in parameterized forward operators for polarimetric radar data simulation with double moment microphysics schemes. Journal of Geophysical Research: Atmospheres, 129, 9, 1–21, doi:10.1029/2023JD040026.

Smith, E. N., J. T. Carlin, 2024: A multi-instrument fuzzy logic boundary-layer-top detection algorithm. EGU: Atmospheric Measurement Techniques, 17, 4087–4107, doi:10.5194/amt-17-4087-2024.

J. T. Carlin, E. N. Smith, K. Giannakopoulos, 2024: Contextualizing Polarimetric Retrievals of Boundary Layer Height Using State-of-the-Art Boundary Layer Profiling. Journal of Applied Meteorology and Climatology, 63, 7, 765–780, doi:https://doi.org/10.1175/JAMC-D-23-0231.1.

Dunnavan, E. L., J. T. Carlin, D. Schvartzman, A. V. Ryzhkov, H. Bluestein, S. Emmerson, G. M. McFarquhar, G. M. Heymsfield, J. Yorks, 2023: High-Resolution Snowstorm Measurements and Retrievals Using Cross-Platform Multi-Frequency and Polarimetric Radars. Geophysical Research Letters, 50, 12, 1–11, doi:10.1029/2023GL103692.

Carlin, J. T., E. L. Dunnavan, A. V. Ryzhkov, M. Oue, 2023: Impacts of Vertical Nonuniform Beam Filling on the Observability of Secondary Ice Production due to Sublimation. Journal of Atmospheric and Oceanic Technology, 40, 1, 65–84, doi:10.1175/JTECH-D-22-0076.1

Dunnavan, E. L., J. T. Carlin, J. Hu, P. Bukovcic, A. V. Ryzhkov, G. M. McFarquhar, J. A. Finlon, S. Y. Matrosov, D. J. Delene, 2022: Radar Retrieval Evaluation and Investigation of Dendritic Growth Layer Polarimetric Signatures in a Winter Storm. Journal of Applied Meteorology and Climatology, 61, 11, 1679–1705, doi:10.1175/JAMC-D-21-0220.1.

Shrestha, P., J. Mendrok, V. Pejcic, S. Trömel, U. Blahak, J. T. Carlin, 2022: Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators. Geoscientific Model Development, 15, 291–313, doi:10.5194/gmd-15-291-2022.

Carlin, J. T., H. D. Reeves, A. V. Ryzhkov, 2021: Polarimetric Observations and Simulations of Sublimating Snow: Implications for Nowcasting. Journal of Applied Meteorology and Climatology, 60, 8, 1035–1054, doi:10.1175/JAMC-D-21-0038.1.

Kuster, C. M., B. R. Bowers, J. T. Carlin, T. J. Schuur, J. W. Brogden, R. Toomey, A. Dean, 2021: Using KDP Cores as a Downburst Precursor Signature. Weather and Forecasting, 36, 4, 1183–1198, doi:10.1175/WAF-D-21-0005.1.

Brook, J. P., A. Protat, J. Soderholm, J. T. Carlin, H. McGowan, R. A. Warren, 2021: HailTrack—Improving Radar-Based Hailfall Estimates by Modeling Hail Trajectories. Journal of Applied Meteorology and Climatology, 60, 237–254, doi:10.1175/JAMC-D-20-0087.1.

Bukovcic, P., A. Ryzhkov, J. Carlin, 2021: Polarimetric radar relations for estimation of visibility in aggregated snow. Journal of Atmospheric and Oceanic Technology, 38, 805–822, doi:10.1175/JTECH-D-20-0088.1.

Ryzhkov, A., J. Snyder, J. T. Carlin, A. Khain, M. Pinsky, 2020: What polarimetric weather radars offer to cloud modelers: Forward radar operators and microphysical / thermodynamic retrievals. Atmosphere, 11, doi:10.3390/atmos11040362.

Carlin, J. T., A. V. Ryzhkov, 2019: Estimation of Melting-Layer Cooling Rate from Dual-Polarization Radar: Spectral Bin Model Simulations. Journal of Applied Meteorology and Climatology, 58, 1485–1508, doi:10.1175/JAMC-D-18-0343.1.

Carlin, J. T., J. Gao, J. C. Snyder, A. V. Ryzhkov, 2017: Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments. Monthly Weather Review, 145, 5033–5057, doi:10.1175/MWR-D-17-0103.1.

Carlin, J. T., A. V. Ryzhkov, J. C. Snyder, A. Khain, 2016: Hydrometeor Mixing Ratio Retrievals for Storm-Scale Radar Data Assimilation: Utility of Current Relations and Potential Benefits of Polarimetry. Monthly Weather Review, 144, 2981–3001, doi:10.1175/MWR-D-15-0423.1.