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Responses of Simulated Arctic Mixed-Phase Clouds to Parameterized Ice Particle Shape.
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- Journal of the Atmospheric Sciences, 2024, v. 81, n. 1, p. 125, doi. 10.1175/JAS-D-23-0015.1
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- Article
Evaluations of the Thermodynamic Phases of Clouds in a Cloud-System-Resolving Model Using CALIPSO and a Satellite Simulator over the Southern Ocean.
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- Journal of the Atmospheric Sciences, 2020, v. 77, n. 11, p. 3781, doi. 10.1175/JAS-D-19-0273.1
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- Article
Relationships between Immersion Freezing and Crystal Habit for Arctic Mixed-Phase Clouds--A Numerical Study.
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- Journal of the Atmospheric Sciences, 2020, v. 77, n. 7, p. 2411, doi. 10.1175/JAS-D-20-0078.1
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Numerical Study of Motion and Stability of Falling Columnar Crystals.
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- Journal of the Atmospheric Sciences, 2016, v. 73, n. 5, p. 1923, doi. 10.1175/JAS-D-15-0219.1
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- Article
Numerical Experiments to Analyze Cloud Microphysical Processes Depicted in Vertical Profiles of Radar Reflectivity of Warm Clouds.
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- Journal of the Atmospheric Sciences, 2015, v. 72, n. 12, p. 4509, doi. 10.1175/JAS-D-15-0053.1
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A Numerical Study on the Attitudes and Aerodynamics of Freely Falling Hexagonal Ice Plates.
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- Journal of the Atmospheric Sciences, 2015, v. 72, n. 9, p. 3685, doi. 10.1175/JAS-D-15-0059.1
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- Article
The Spectral Ice Habit Prediction System (SHIPS). Part III: Description of the Ice Particle Model and the Habit-Dependent Aggregation Model.
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- Journal of the Atmospheric Sciences, 2011, v. 68, n. 6, p. 1125, doi. 10.1175/2011JAS3666.1
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The Spectral Ice Habit Prediction System (SHIPS). Part IV: Box Model Simulations of the Habit-Dependent Aggregation Process.
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- Journal of the Atmospheric Sciences, 2011, v. 68, n. 6, p. 1142, doi. 10.1175/2011JAS3667.1
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The Spectral Ice Habit Prediction System (SHIPS). Part II: Simulation of Nucleation and Depositional Growth of Polycrystals.
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- Journal of the Atmospheric Sciences, 2008, v. 65, n. 10, p. 3071, doi. 10.1175/2008JAS2615.1
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- Article
Sampling Uncertainty and Confidence Intervals for the Brier Score and Brier Skill Score.
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- Weather & Forecasting, 2008, v. 23, n. 5, p. 992, doi. 10.1175/2007WAF2007049.1
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- Article
Distributions-Oriented Verification of Probability Forecasts for Small Data Samples.
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- Weather & Forecasting, 2003, v. 18, n. 5, p. 903, doi. 10.1175/1520-0434(2003)018<0903:DVOPFF>2.0.CO;2
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- Article
River Stage Modeling with a Deep Neural Network Using Long-Term Rainfall Time Series as Input Data: Application to the Shimanto-River Watershed.
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- Water (20734441), 2022, v. 14, n. 3, p. 452, doi. 10.3390/w14030452
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- Article
Introduction to EarthCARE synthetic data using a global storm-resolving simulation.
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- Atmospheric Measurement Techniques Discussions, 2023, p. 1, doi. 10.5194/amt-2023-18
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- Article
Modeling Performance of SCALE-AMPS: Simulations of Arctic Mixed-Phase Clouds Observed During SHEBA.
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- Journal of Advances in Modeling Earth Systems, 2022, v. 14, n. 6, p. 1, doi. 10.1029/2021MS002887
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- Article
Introduction to EarthCARE synthetic data using a global storm-resolving simulation.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 12, p. 3331, doi. 10.5194/amt-16-3331-2023
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Evaluations and improvements of global cloud resolving models using high-resolution satellite data using simulators.
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- Geophysical Research Abstracts, 2018, v. 20, p. 1128
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Vertical grid spacing necessary for simulating tropical cirrus clouds with a high-resolution atmospheric general circulation model.
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- Geophysical Research Letters, 2015, v. 42, n. 10, p. 4150, doi. 10.1002/2015GL064282
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Evaluation of cloud and precipitation processes in regional and global models with ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment): a case study using the dual-polarization Doppler weather radars.
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- Progress in Earth & Planetary Science, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40645-022-00511-5
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Examination of all‐sky infrared radiance simulation of Himawari‐8 for global data assimilation and model verification.
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- Quarterly Journal of the Royal Meteorological Society, 2021, v. 147, n. 740, p. 3611, doi. 10.1002/qj.4144
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Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud.
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- Quarterly Journal of the Royal Meteorological Society, 2009, v. 135, n. 641, p. 979, doi. 10.1002/qj.416
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Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds.
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- Atmospheric Chemistry & Physics, 2024, v. 24, n. 10, p. 5737, doi. 10.5194/acp-24-5737-2024
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Idealized numerical experiments on the microphysical evolution of warm-type heavy rainfall.
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- Journal of Geophysical Research. Atmospheres, 2017, v. 122, n. 3, p. 1685, doi. 10.1002/2016JD025637
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- Article
Evaluating Arctic cloud radiative effects simulated by NICAM with A-train.
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- Journal of Geophysical Research. Atmospheres, 2016, v. 121, n. 12, p. 7041, doi. 10.1002/2016JD024775
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Relationships between layer-mean radar reflectivity and columnar effective radius of warm cloud: Numerical study using a cloud microphysical bin model.
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- Journal of Geophysical Research. Atmospheres, 2014, v. 119, n. 6, p. 3281, doi. 10.1002/2013JD020276
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Numerical evidence that the impact of CCN and INP concentrations on mixed-phase clouds is observable with cloud radars.
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- Atmospheric Chemistry & Physics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-1887
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On the Land-Ocean Contrast of Tropical Convection and Microphysics Statistics Derived from TRMM Satellite Signals and Global Storm-Resolving Models.
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- Journal of Hydrometeorology, 2016, v. 17, n. 5, p. 1425, doi. 10.1175/JHM-D-15-0111.1
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Distributions-Oriented Verification of Ensemble Streamflow Predictions.
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- Journal of Hydrometeorology, 2004, v. 5, n. 3, p. 532, doi. 10.1175/1525-7541(2004)005<0532:DVOESP>2.0.CO;2
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- Article