A5006780848- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Vehicle emissions and performance
- Climate variability and models
- Advanced Combustion Engine Technologies
- Icing and De-icing Technologies
- Cryospheric studies and observations
- Atmospheric chemistry and aerosols
- Precipitation Measurement and Analysis
- Catalytic Processes in Materials Science
- Biodiesel Production and Applications
- Air Quality and Health Impacts
- Tropical and Extratropical Cyclones Research
- Smart Materials for Construction
- Transportation Planning and Optimization
- Energy, Environment, and Transportation Policies
- Rocket and propulsion systems research
- Atmospheric and Environmental Gas Dynamics
- Air Quality Monitoring and Forecasting
- Urban Transport and Accessibility
- Transportation Safety and Impact Analysis
- Fire effects on ecosystems
- Geotechnical Engineering and Underground Structures
- Real-time simulation and control systems
- Mechanical Engineering and Vibrations Research
General Electric (United States)
2025
University Corporation for Atmospheric Research
1997-2025
NSF National Center for Atmospheric Research
2015-2024
General Electric (Israel)
2024
West Virginia University
2009-2023
Medical College of Wisconsin
2023
Research Applications (United States)
1999-2019
North Carolina State University
2019
Research Applications Laboratory
2015
Arizona State University
2013
Abstract A new bulk microphysical parameterization (BMP) has been developed for use with the Weather Research and Forecasting (WRF) Model or other mesoscale models. As compared earlier single-moment BMPs, scheme incorporates a large number of improvements to both physical processes computer coding, it employs many techniques found in far more sophisticated spectral/bin schemes using lookup tables. Unlike any BMP, assumed snow size distribution depends on ice water content temperature is...
Abstract A new two-moment cloud microphysics scheme predicting the mixing ratios and number concentrations of five species (i.e., droplets, ice, snow, rain, graupel) has been implemented into Weather Research Forecasting model (WRF). This is used to investigate formation evolution trailing stratiform precipitation in an idealized two-dimensional squall line. Results are compared those using a one-moment version that predicts only species, diagnoses from specified size distribution intercept...
This study evaluates the sensitivity of winter precipitation to numerous aspects a bulk, mixed-phase microphysical parameterization found in three widely used mesoscale models [the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5), Rapid Update Cycle (RUC), and Weather Forecast (WRF) model]. Sensitivities microphysics primary ice initiation, autoconversion, cloud condensation nuclei (CCN) spectra, treatment graupel, parameters...
Abstract Aerosols influence cloud and precipitation development in complex ways due to myriad feedbacks at a variety of scales from individual clouds through entire storm systems. This paper describes the implementation, testing, results newly modified bulk microphysical parameterization with explicit droplet nucleation ice activation by aerosols. Idealized tests high-resolution, convection-permitting, continental-scale, 72-h simulation five sensitivity experiments showed that increased...
Abstract Statistical downscaling is widely used to improve spatial and/or temporal distributions of meteorological variables from regional and global climate models. This important because models are spatially coarse (50–200 km) often misrepresent extremes in variables, such as temperature precipitation. However, these methods rely on current estimates the largely assume that small-scale distribution will not change significantly a modified climate. In this study authors compare data...
Abstract WRF-Solar is a specific configuration and augmentation of the Weather Research Forecasting (WRF) Model designed for solar energy applications. Recent upgrades to WRF contribute making model appropriate power forecasting comprise 1) developments diagnose internally relevant atmospheric parameters required by industry, 2) improved representation aerosol–radiation feedback, 3) incorporation cloud–aerosol interactions, 4) cloud–radiation feedback. The are presented together with...
Abstract A new microphysics scheme has been developed based on the prediction of bulk particle properties for a single ice-phase category, in contrast to traditional approach separating ice into various predefined species (e.g., cloud ice, snow, and graupel). In this paper, predicted (P3) scheme, described Part I series, is tested three-dimensional simulations using Weather Research Forecasting (WRF) Model two contrasting well-observed cases: midlatitude squall line winter orographic...
Abstract Deep learning models, such as convolutional neural networks, utilize multiple specialized layers to encode spatial patterns at different scales. In this study, deep models are compared with standard machine approaches on the task of predicting probability severe hail based upper-air dynamic and thermodynamic fields from a convection-allowing numerical weather prediction model. The data for study come patches surrounding storms identified in NCAR ensemble runs 3 May June 2016....
Abstract An investigation was conducted on the effects of various physics parameterizations wintertime precipitation predictions using a high-resolution regional climate model. The objective to evaluate sensitivity cold-season mountainous snowfall cloud microphysics schemes, planetary boundary layer (PBL) land surface and radiative transfer schemes at 4-km grid spacing applicable next generation models. results indicated that orographically enhanced highly sensitive parameterizations. Of...
Abstract An intercomparison study of a midlatitude mesoscale squall line is performed using the Weather Research and Forecasting (WRF) model at 1 km horizontal grid spacing with eight different cloud microphysics schemes to investigate processes that contribute large variability in simulated precipitation properties. All simulations tend produce wider area high radar reflectivity ( Z e > 45 dBZ) than observed but much narrower stratiform area. The magnitude virtual potential temperature...
Abstract The 2020 wildfire season (May through December) in the United States was exceptionally active, with National Interagency Fire Center reporting over 10 million acres ( <?CDATA $\gt$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mo>></mml:mo> </mml:math> 40 000 km 2 ) burned. During September events, large concentrations of smoke particulates were emitted into atmosphere. As a result, responsible for ∼10%–30% reduction solar power production...
Despite continual increases in numerical model resolution and significant improvements the forecasting of many meteorological parameters, progress quantitative precipitation (QPF) has been slow. This is attributable part to deficiencies bulk microphysical parameterization (BMP) schemes used mesoscale models simulate cloud processes. These have become more apparent as increased. To address these problems requires comprehensive data that can be isolate errors QPF due BMP from those other...
Abstract This paper describes idealized simulations of a squall line observed on 20 June 2007, in central Oklahoma. Results are compared with measurements from dual-polarization radar and surface disdrometer. The baseline model configuration qualitatively reproduces key storm features, but underpredicts precipitation rates generally overpredicts median volume raindrop diameter. sensitivity to parameterization breakup is tested under different low-level (0–2.5 km) environmental vertical wind...
Abstract. This study investigates the hydrometeor development and response to cloud droplet number concentration (CDNC) perturbations in convection-permitting model configurations. We present results from a real-data simulation of deep convection Congo basin, an idealised supercell case, warm-rain large-eddy (LES). In each case we compare two frequently used double-moment bulk microphysics schemes investigate CDNC perturbations. find that variability among schemes, including aerosol, differs...
Abstract One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center conducted in the Oceanic Atmospheric Administration’s (NOAA) Hazardous Weather Testbed, is documenting performance characteristics experimental, convection-allowing modeling systems (CAMs). Since 2007, number CAMs (including CAM ensembles) examined SFEs has increased dramatically, peaking at six different ensembles 2015....
Abstract In this second part of a cloud microphysics scheme intercomparison study, we focus on biases and variabilities stratiform precipitation properties for midlatitude squall line event simulated with cloud‐resolving model implemented eight schemes. Most the schemes underestimate total precipitation, mainly due to underestimation area. All frequency moderate rain rates (2–6 mm/hr), which may result from low‐biased ice number mass concentrations 0.2–2‐mm diameter particles in region....
Abstract Terminal velocities of snow aggregates in storms along the Front Range eastern Colorado are examined with a ground-based two-dimensional video disdrometer. Power-law relationships for particles having equivalent volume diameters 0.5–20 mm computed temperatures −1°, −5°, and −10°C. Fall speeds increase temperature. Comparison found literature suggests that temperature-dependent relations may be surrogates based on aggregate composition (e.g., plates, columns, or dendrites) degree riming.
Abstract The impact of ice phase cloud microphysical processes on prediction tropical cyclone environment is examined for two parameterizations using the Coupled Ocean–Atmosphere Mesoscale Prediction System–Tropical Cyclone (COAMPS-TC) model. An older version parameterization a relatively typical single-moment scheme with five hydrometeor species: water and ice, rain, snow, graupel. alternative newer method uses hybrid approach double moment in rain single other three species. Basin-scale...
A realistic representation of mixed-phase clouds in weather and climate models is essential to accurately simulate the model's radiative balance water cycle. In addition, it important for providing downstream applications with physically model data computation of, instance, atmospheric icing on societal infrastructure aircraft. An quantity forecasts supercooled liquid (SLW). this study, we implement elements from Thompson cloud microphysics scheme into numerical prediction HARMONIE-AROME,...
Abstract Current state-of-the art regional numerical weather forecasts are run at horizontal grid spacings of a few kilometers, which permits medium- to large-scale convective systems be represented explicitly in the model. With convection parameterization no longer active, much uncertainty formulation subgrid-scale processes moves other areas such as cloud microphysical, turbulence, and land surface parameterizations. The goal this study is investigate experiments with stochastically...