The Center for Atmospheric Sciences | » Ruben Delgado

    • PhD, Chemistry, University of Puerto Rico-Rio Piedras, 2011

    • MS, Chemistry, University of Puerto Rico-Rio Piedras, 2004

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      ruben.delgado@hamptonu.edu

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  • Ruben Delgado

    Research interests focus in atmospheric chemistry and physics, and laser remote sensing technology. Elastic, Raman, and Doppler wind lidar measurements are integrated with satellite retrievals, ground based concentration measurements of gases and aerosols, and numerical weather prediction models to reach a thorough understanding of the coupling of chemistry and dynamics in air-land-marine interactions.

    Lidar Remote Sensing: Dr. Delgado has expertise with instrumentation, analysis and retrievals of elastic, Raman and Doppler lidar remote sensing technology of troposphere aerosols, water vapor, clouds and winds, for air quality, meteorology and wind energy applications. This provides in near real time optical, physical and chemical composition and characterization of aerosol/particle pollution and planetary boundary layer dynamics. Expertise also includes ground-based lidar/ceilometer networks, validation of satellite and forecasting models, and wind resource assessment and improvement of power production with machine learning tools for wind energy projects.

    Air Quality Observing System – Measurements and analysis from in-situ/ground, remote sensing (lidar, radar, radiosondes, AERI) and column (ground/satellite measurements) of meteorological variables and air chemical composition are carried out to determine the relative impact of long-range transport versus local emissions during pollution events. This synergistic approach provides a comprehensive 3D monitoring of particle pollution (e.g., aerosols, smoke, dust, etc.), gases and meteorological variables in the Mid-Atlantic United States and that can be expanded throughout the United States. This aids future policy decisions and strategies as the remote sensing observations contribute to provide answers on the influence of gases and aerosols in air quality, atmospheric composition, and climate. Dr. Delgado is a member of the World Meteorological Organization (WMO) Vegetation Fire and Smoke Pollution Warning Advisory and Assessment System (VFSP-WAS) Wildfire Risk Forecast working group.

    Wind Energy – The behavior of the wind in a marine/coastal environment is complex, and often not well measured, modeled, nor understood; thus, significant preconstruction energy yield uncertainties may be introduced when estimating a local wind resource and a turbine’s available power. Dr. Delgado has participated in various wind energy field campaigns sponsored by NOAA, DOE, NSF. His expertise in ground based remote sensing measurements contribute to the reduction of uncertainties and improve wind power prediction in research areas associated with wind resource characterization, measurements and farm layout: 1-Uncertainty reduction in offshore wind resource characterization & turbine available power along US East Coast; 2-Validation & improvements in Numerical Weather Prediction model estimates of offshore and coastal wind resource; 3-Improvement of wind power prediction from meteorological characterization with machine learning models.

    Unified Ceilometer Network (UCN) – Dr. Delgado is the Principal Investigator for this network that came as result of the US EPA entrusting him and his team with the creation and management of the lidar/ceilometer data quality control and assurance, retrievals, data visualization and portal for their Photochemical Assessment Monitoring Stations network. UCN provides students the opportunity to have multidisciplinary academic and research experiences. The network is a collaboration US EPA, NASA, and NOAA on a ground-based ceilometer network to support activities that will provide a comprehensive three-dimensional assessment of the chemical and dynamical processes in the lower atmosphere that can aid future policy decisions and strategies to key questions on the influence of gases and aerosols in air quality, atmospheric composition and climate, as well as the validation/verification of satellite and modeling products. A total of 32 local, state, federal agencies, and nine academic institutions currently participate with over forty locations contributing and providing extensive observational coverage across North America. Dr. Delgado has deliberately engaged Minority Serving Institutions in this effort to promote Diversity, Equity and Inclusion and broadening their participation in Earth systems science and remote sensing technology. This opportunity allows Dr. Delgado to be heavily engaged with the national and international community in initiatives such as:

    1. ASTM International: Standard Guide for Mixing Layer Height from Laser Based Ceilometers
    2. U.S. EPA Methods Document/Quality Assurance Project Plan (QAPP): Quality Assurance for Ground Based Ceilometer
    3. European Cooperation in Science & Technology: PROfiling the atmospheric Boundary layer at European scale (PROBE)

    Dr. Delgado scholarly and research capacity developed in UCN provides a solid foundation, key to the advancement of Earth Science and Weather Observation Networks. UCN development efforts can be will be critical component into the next five years of HU participation in NOAA CESSRST and will enhance the research portfolio of the HU Severe Weather Research Center.

    Project: Air Quality

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    Air quality forecasts and attainment projections rely upon semi-empirical parameterizations within numerical models for the description of dispersion, formation and fate of pollutants influenced by the spatial and temporal distribution of emissions in cities, the topography, and weather. The particulate matter (PM) mass measured at the ground level is a common way to quantify the […]

    Project: Unified Ceilometer Network

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    The Unified Ceilometer Network (UCN) is a collaboration between Hampton University, the University of Maryland, Baltimore County (UMBC), the U.S. Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA) and National Atmospheric and Oceanic Administration (NOAA) on a ground-based ceilometer network to support activities that will provide a comprehensive three-dimensional assessment of the chemical […]

    Project: Wind Energy

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    To justify an offshore wind project’s economic viability, an accurate preconstruction energy yield estimate is required. Unfortunately, the behavior of the wind in a marine/coastal environment is complex, and often not well measured, modeled, nor understood; thus significant preconstruction energy yield uncertainties may be introduced when estimating a local wind resource and a turbine’s available […]