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    Autumnal Mixed-Phase Cloudy Boundary Layers in the Arctic 

    Source: Journal of the Atmospheric Sciences:;1998:;Volume( 055 ):;issue: 011:;page 2016
    Author(s): Pinto, James O.
    Publisher: American Meteorological Society
    Abstract: Two mixed-phase cloudy boundary layer events observed over the Arctic ice pack in autumn are extensively analyzed. The local dynamic and thermodynamic structure of the boundary layers is determined from aircraft measurements ...
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    Estimating Continuous-Coverage Instantaneous Precipitation Rates Using Remotely Sensed and Ground-Based Measurements 

    Source: Journal of Applied Meteorology and Climatology:;2011:;volume( 050 ):;issue: 010:;page 2073
    Author(s): Grim, Joseph A.; Pinto, James O.
    Publisher: American Meteorological Society
    Abstract: his study demonstrates a method of temporally and spatially scaling precipitation rates at low probability of precipitation-rate exceedance levels (e.g., 0.1%) from coarser-resolution global datasets to near-instantaneous ...
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    Intercomparison of Arctic Regional Climate Models: Modeling Clouds and Radiation for SHEBA in May 1998 

    Source: Journal of Climate:;2006:;volume( 019 ):;issue: 017:;page 4167
    Author(s): Inoue, Jun; Liu, Jiping; Pinto, James O.; Curry, Judith A.
    Publisher: American Meteorological Society
    Abstract: To improve simulations of the Arctic climate and to quantify climate model errors, four regional climate models [the Arctic Regional Climate System Model (ARCSYM), the Coupled Ocean?Atmosphere Mesoscale Prediction System ...
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    Assessment of the High-Resolution Rapid Refresh Model’s Ability to Predict Mesoscale Convective Systems Using Object-Based Evaluation 

    Source: Weather and Forecasting:;2015:;volume( 030 ):;issue: 004:;page 892
    Author(s): Pinto, James O.; Grim, Joseph A.; Steiner, Matthias
    Publisher: American Meteorological Society
    Abstract: n object-based verification technique that keys off the radar-retrieved vertically integrated liquid (VIL) is used to evaluate how well the High-Resolution Rapid Refresh (HRRR) predicted mesoscale convective systems (MCSs) ...
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    Probabilistic Forecasts of Mesoscale Convective System Initiation Using the Random Forest Data Mining Technique 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 002:;page 581
    Author(s): Ahijevych, David; Pinto, James O.; Williams, John K.; Steiner, Matthias
    Publisher: American Meteorological Society
    Abstract: data mining and statistical learning method known as a random forest (RF) is employed to generate 2-h forecasts of the likelihood for initiation of mesoscale convective systems (MCS-I). The RF technique uses an ensemble ...
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    Assessing RRFS versus HRRR in Predicting Widespread Convective Systems over the Eastern CONUS 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 001:;page 121
    Author(s): Grim, Joseph A.; Pinto, James O.; Dowell, David C.
    Publisher: American Meteorological Society
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    Global Precipitation Extremes Associated with Diurnally Varying Low-Level Jets 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 019:;page 5065
    Author(s): Monaghan, Andrew J.; Rife, Daran L.; Pinto, James O.; Davis, Christopher A.; Hannan, John R.
    Publisher: American Meteorological Society
    Abstract: Extreme rainfall events have important societal impacts: for example, by causing flooding, replenishing reservoirs, and affecting agricultural yields. Previous literature has documented linkages between rainfall extremes ...
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    Global Distribution and Characteristics of Diurnally Varying Low-Level Jets 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 019:;page 5041
    Author(s): Rife, Daran L.; Pinto, James O.; Monaghan, Andrew J.; Davis, Christopher A.; Hannan, John R.
    Publisher: American Meteorological Society
    Abstract: This study documents the global distribution and characteristics of diurnally varying low-level jets (LLJs), including their horizontal, vertical, and temporal structure, with a special emphasis on highlighting the underlying ...
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    Cloud Resolving Simulations of Mixed-Phase Arctic Stratus Observed during BASE: Sensitivity to Concentration of Ice Crystals and Large-Scale Heat and Moisture Advection 

    Source: Journal of the Atmospheric Sciences:;2000:;Volume( 057 ):;issue: 013:;page 2105
    Author(s): Jiang, Hongli; Cotton, William R.; Pinto, James O.; Curry, Judy A.; Weissbluth, Michael J.
    Publisher: American Meteorological Society
    Abstract: The authors? previous idealized, two-dimensional cloud resolving model (CRM) simulations of Arctic stratus revealed a surprising sensitivity to the concentrations of ice crystals. In this paper, simulations of an actual ...
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    Regional Assessment of Sampling Techniques for More Efficient Dynamical Climate Downscaling 

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 004:;page 1524
    Author(s): Pinto, James O.; Monaghan, Andrew J.; Delle Monache, Luca; Vanvyve, Emilie; Rife, Daran L.
    Publisher: American Meteorological Society
    Abstract: ynamical downscaling is a computationally expensive method whereby finescale details of the atmosphere may be portrayed by running a limited area numerical weather prediction model (often called a regional climate model) ...
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