A5031620679- Climate variability and models
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Atmospheric aerosols and clouds
- Remote Sensing and LiDAR Applications
- Flood Risk Assessment and Management
- 3D Surveying and Cultural Heritage
- Atmospheric chemistry and aerosols
- Hydrological Forecasting Using AI
- Infrared Target Detection Methodologies
- Satellite Image Processing and Photogrammetry
- Robotics and Sensor-Based Localization
- Fire dynamics and safety research
- Landslides and related hazards
- Water Quality Monitoring and Analysis
- Soil and Water Nutrient Dynamics
- Spectroscopy and Chemometric Analyses
- Water Quality and Pollution Assessment
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
- Ocean Waves and Remote Sensing
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Urban Heat Island Mitigation
- Water Quality and Resources Studies
Wake Forest University
2019-2020
Mississippi State University
2016-2018
East Carolina University
2012-2014
Abstract While deterministic forecasts provide a single realization of potential inundation, the inherent uncertainty associated with also needs to be conveyed for improved decision support. The objective this study was develop an ensemble framework quantification and visualization flood inundation forecast maps. An 11‐member streamflow at lead times from 0 48 hr used force two hydraulic models produce multimodel ensemble. are (1) International River Interface Cooperative along Flow Sediment...
Abstract Tropical cloud clusters (TCCs) are traditionally defined as synoptic-scale areas of deep convection and associated cirrus outflow. They play a critical role in the energy balance tropics, releasing large amounts latent heat high troposphere. If conditions favorable, TCCs can develop into tropical cyclones (TCs), which put coastal populations at risk. Previous work, usually connected with field campaigns, has investigated TCC characteristics over small time periods. Recently,...
This article describes results from a new four‐year (2009–2012) radar‐based precipitation climatology for the southeastern United States (SE USA). The shows that size‐based classification between mesoscale features (MPF) and isolated reveals distinct seasonal diurnal variability of precipitation. On average, 70 to 90% is associated with MPF, generally less in summertime southern coastal regions. MPF has relatively small cycle except Florida warm offshore waters Gulf Stream. In contrast,...
The current study sets out to develop an empirical line method (ELM) radiometric calibration framework for the reduction of atmospheric contributions in unmanned aerial systems (UAS) imagery and production scaled remote sensing reflectance imagery. Using a MicaSense RedEdge camera flown on custom-built octocopter, research reported herein finds that have important impact UAS Data collected over Lower Pearl River Estuary Mississippi during five week-long missions covering wide range...
Abstract Numerical weather prediction (NWP) models are limited with respect to initial and boundary condition data possess an incomplete description of underlying physical processes. To account for this, modelers have adopted the method ensemble quantify uncertainty within a model framework; however, generation members requires considerably more computational time and/or resources than single deterministic simulation, especially at convection-allowing horizontal grid spacings. One approach...
The current study sets out to develop an empirical line method (ELM) radiometric calibration framework for reducing atmospheric contributions in UAS imagery and producing scaled remote sensing reflectance imagery. Using a MicaSense RedEdge camera flown on custom-built octocopter, the research reported herein finds that have important impact Data collected over Lower Pearl River Estuary Mississippi during five week-long missions covering wide range of environmental conditions was used test...
This paper characterizes the influence of synoptic-scale air mass conditions on spatial and temporal patterns precipitation in North Carolina over a 16-year period (2003–2018). National Center for Environmental Prediction Stage IV multi-sensor estimates were used to describe seasonal variations context prevailing classified using synoptic classification system. Spatial analyses identified significant clustering high daily amounts distributed along east side Appalachian Mountains Coastal...
This paper characterizes the influence of synoptic-scale air mass conditions on spatial and temporal patterns precipitation in North Carolina over a 16-year period (2003-2018). National Center for Environmental Prediction Stage IV multi-sensor estimates were used to describe seasonal variations context prevailing classified using synoptic classification system. Spatial analyses identified significant clustering high daily amounts distributed along east side Appalachian Mountains coastal...
This paper characterizes the influence of synoptic-scale airmass conditions on spatial and temporal patterns precipitation in North Carolina over a 16-year period (2003-2018). National Center for Environmental Prediction Stage IV multi-sensor estimates were used to describe seasonal variations context prevailing classified using synoptic classification system. Spatial analyses identified significant clustering high daily average amounts distributed along lee side Appalachian Mountains...
As wildland fires become more frequent and intense, models foreshadowing their behavior destruction have ever important. These models, however, are often parametrized using laboratory-scale fire experiments. We ask: to what extent laboratory representative of field-scale fires? compile make public a dataset measurements from the literature North Carolina prescribed fire. The data show that while wind speed flame like temperature residence time do not vary significantly between fires, latter...