| Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments JT Carlin, J Gao, JC Snyder, AV Ryzhkov Monthly Weather Review 145 (12), 5033-5057, 2017 | 55 | 2017 |
| Estimation of melting-layer cooling rate from dual-polarization radar: Spectral bin model simulations JT Carlin, AV Ryzhkov Journal of Applied Meteorology and Climatology 58 (7), 1485-1508, 2019 | 33 | 2019 |
| What polarimetric weather radars offer to cloud modelers: forward radar operators and microphysical/thermodynamic retrievals AV Ryzhkov, J Snyder, JT Carlin, A Khain, M Pinsky Atmosphere 11 (4), 362, 2020 | 27 | 2020 |
| Hydrometeor Mixing Ratio Retrievals for Storm-Scale Radar Data Assimilation: Utility of Current Relations and Potential Benefits of Polarimetry JT Carlin, AV Ryzhkov, JC Snyder, A Khain Monthly Weather Review 144 (8), 2981-3001, 2016 | 26 | 2016 |
| HailTrack—Improving radar-based hailfall estimates by modeling hail trajectories JP Brook, A Protat, J Soderholm, JT Carlin, H McGowan, RA Warren Journal of Applied Meteorology and Climatology 60 (3), 237-254, 2021 | 20 | 2021 |
| Evaluation of the COSMO model (v5. 1) in polarimetric radar space–impact of uncertainties in model microphysics, retrievals and forward operators P Shrestha, J Mendrok, V Pejcic, S Trömel, U Blahak, JT Carlin Geoscientific Model Development 15 (1), 291-313, 2022 | 12 | 2022 |
| Using K DP Cores as a Downburst Precursor Signature CM Kuster, BR Bowers, JT Carlin, TJ Schuur, JW Brogden, R Toomey, ... Weather and Forecasting 36 (4), 1183-1198, 2021 | 12 | 2021 |
| Polarimetric observations and simulations of sublimating snow: Implications for nowcasting JT Carlin, HD Reeves, AV Ryzhkov Journal of Applied Meteorology and Climatology 60 (8), 1035-1054, 2021 | 11 | 2021 |
| A radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: An observing system simulation experiment H Chen, Y Chen, J Gao, T Sun, JT Carlin Atmospheric research 243, 105022, 2020 | 11 | 2020 |
| The influence of multiple groups of biological ice nucleating particles on microphysical properties of mixed-phase clouds observed during MC3E S Patade, D Waman, A Deshmukh, AK Gupta, A Jadav, VTJ Phillips, ... Atmospheric Chemistry and Physics 22 (18), 12055-12075, 2022 | 10 | 2022 |
| Radar reflectivity data assimilation method based on background‐dependent hydrometeor retrieval: Comparison with direct assimilation for real cases H Chen, J Gao, Y Wang, Y Chen, T Sun, J Carlin, Y Zheng Quarterly Journal of the Royal Meteorological Society 147 (737), 2409-2428, 2021 | 9 | 2021 |
| Radar retrieval evaluation and investigation of dendritic growth layer polarimetric signatures in a winter storm EL Dunnavan, JT Carlin, J Hu, P Bukovčić, AV Ryzhkov, GM McFarquhar, ... Journal of Applied Meteorology and Climatology 61 (11), 1685-1711, 2022 | 7 | 2022 |
| Multi-channel Imager Algorithm (MIA): A novel cloud-top phase classification algorithm J Hu, D Rosenfeld, Y Zhu, X Lu, J Carlin Atmospheric Research 261, 105767, 2021 | 7 | 2021 |
| Bonn Polarimetric Radar forward Operator (B-PRO) X Xie, P Shrestha, J Mendrok, J Carlin, S Trömel, U Blahak CRC/TR32 Database (TR32DB) 10, 2021 | 6 | 2021 |
| Polarimetric Radar Relations for Estimation of Visibility in Aggregated Snow P Bukovčić, AV Ryzhkov, JT Carlin Journal of Atmospheric and Oceanic Technology 38 (4), 805-822, 2021 | 4 | 2021 |
| Identifying Downburst Precursor Signatures in KDP CM Kuster, BR Bowers, TJ Schuur, J Carlin, J Brogden, R Toomey 99th American Meteorological Society Annual Meeting, 2019 | 3 | 2019 |
| The use of polarimetric radar data for informing numerical weather prediction models J Carlin | 3 | 2018 |
| Improving Polarimetric Radar-Based Drop Size Distribution Retrieval and Rain Estimation Using a Deep Neural Network J Ho, G Zhang, P Bukovcic, DB Parsons, F Xu, J Gao, JT Carlin, ... Journal of Hydrometeorology 24 (11), 2057-2073, 2023 | 1 | 2023 |
| Test of power transformation function to hydrometeor and water vapor mixing ratios for direct variational assimilation of radar reflectivity data J Hu, J Gao, C Liu, G Zhang, P Heinselman, JT Carlin Weather and Forecasting 38 (10), 1995-2010, 2023 | 1 | 2023 |
| Assimilation of ZDR Columns for Improving the Spin-Up and Forecast of Convective Storms in Storm-Scale Models J Carlin, J Gao, JC Snyder, AV Ryzhkov 38th Conference on Radar Meteorology, 2017 | 1 | 2017 |
Jeffrey SnyderNOAA/OAR National Severe Storms LaboratoryDirección de correo verificada de noaa.gov
