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Environmental Sciences

D-Index
48
Citations
22672
World Ranking
5386
National Ranking
1969

Overview

Roland R. Draxler is affiliated with the Air Resources Laboratory in the United States. Their research primarily focuses on the intersection of environmental science, mathematics, and medicine, with a strong emphasis on modeling and simulation as well as global and planetary change.

Their principal areas of study include:

  • COVID-19 epidemiological studies
  • COVID-19 impact on air quality
  • Infection control and ventilation
  • COVID-19 pandemic impacts

Roland R. Draxler has contributed to research on long-range atmospheric transmission mechanisms related to infectious diseases, particularly COVID-19. Their recent publications are centered on the atmospheric transport of bio-aerosols and the epidemiological implications of these processes.

Recent papers authored by or involving Roland R. Draxler include:

  • Outdoor long-range transmission of COVID-19 and patient zero, 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • Triggering of an Epidemic Outbreak by Long-Range Atmospheric Transport of Bio-Aerosols. Application to a Hypothetical Case for COVID-19, 2023, Preprints.org
  • Triggering of an Epidemic Outbreak via Long-Range Atmospheric Transport of Bio-Aerosols-Application to a Hypothetical Case for COVID-19, 2023, Atmosphere

Their work is often collaborative, with frequent co-authors being B. R. Rowe, James B. Mitchell, and André Canosa. These collaborations have contributed to research published across a range of scientific outlets, including bioRxiv (Cold Spring Harbor Laboratory), Preprints.org, and Atmosphere.

The subfields of study associated with Roland R. Draxler's publications are primarily:

  • Modeling and Simulation
  • Global and Planetary Change
  • Pulmonary and Respiratory Medicine
  • Economics and Econometrics

The integration of environmental science and epidemiology is evident in their research approach, investigating the dynamics of infectious disease spread at the intersection of atmospheric science and public health. This synthesis allows for a multidisciplinary perspective on COVID-19's transmission and its environmental factors.

Best Publications

  • NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System

    A. F. Stein;R. R. Draxler;G. D. Rolph;B. J. B. Stunder

  • Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

    T. Chai;T. Chai;R. R. Draxler

  • HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) Model access via NOAA ARL READY Website

    R. R. Draxler

  • TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data

    Y. Q. Wang;X. Y. Zhang;Roland R. Draxler

  • Root mean square error (RMSE) or mean absolute error (MAE)

    T. Chai;R. R. Draxler

  • Detailed source term estimation of the atmospheric release for the Fukushima Daiichi Nuclear Power Station accident by coupling simulations of an atmospheric dispersion model with an improved deposition scheme and oceanic dispersion model

    G. Katata;G. Katata;M. Chino;T. Kobayashi;H. Terada

  • Determination of atmospheric diffusion parameters

    R.R. Draxler

  • Estimating PM10 air concentrations from dust storms in Iraq, Kuwait and Saudi Arabia

    Roland R. Draxler;Dale A. Gillette;Jeffrey S. Kirkpatrick;Jack Heller

  • Modeling the atmospheric transport and deposition of mercury to the Great Lakes.

    Mark Cohen;Richard Artz;Roland Draxler;Paul Miller

  • Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season

    Glenn D. Rolph;Roland R. Draxler;Ariel F. Stein;Albion Taylor

  • What is the concentration footprint of a tall tower

    Manuel Gloor;Peter Bakwin;Dale Hurst;Loreen Lock

  • Evaluation of an ensemble dispersion calculation

    Roland R. Draxler

  • Determination of the contribution of northern Africa dust source areas to PM10 concentrations over the central Iberian Peninsula using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) model

    M. Escudero;A. Stein;R. R. Draxler;X. Querol

  • World Meteorological Organization's model simulations of the radionuclide dispersion and deposition from the Fukushima Daiichi nuclear power plant accident.

    Roland Draxler;Dèlia Arnold;Masamichi Chino;Stefano Galmarini

  • A hybrid modeling approach to resolve pollutant concentrations in an urban area

    Ariel F. Stein;Vlad Isakov;James Godowitch;Roland R. Draxler

  • Screening level assessment of risks due to dioxin emissions from burning oil from the BP Deepwater Horizon Gulf of Mexico spill.

    Unknown

  • Modeling the atmospheric transport and deposition of PCDD/F to the Great Lakes.

    Mark D. Cohen;Roland R. Draxler;Richard Artz;Barry Commoner

  • Sensitivity of Three-Dimensional Trajectories to the Spatial and Temporal Densities of the Wind Field

    Glenn D. Rolph;Roland R. Draxler

  • The Accuracy of Trajectories during ANATEX Calculated Using Dynamic Model Analyses Versus Rawinsonde Observations

    Roland R. Draxler

  • Trajectory model sensitivity to differences in input data and vertical transport method

    Joyce M. Harris;Roland R. Draxler;Samuel J. Oltmans

  • Sensitivity of a Trajectory Model to the Spatial and Temporal Resolution of the Meteorological Data during CAPTEX

    Roland R. Draxler

Frequent Co-Authors

Jozef M. Pacyna
Jozef M. Pacyna AGH University of Science and Technology
Xavier Querol
Xavier Querol Spanish National Research Council
Shobha Kondragunta
Shobha Kondragunta National Oceanic and Atmospheric Administration
Jesper H. Christensen
Jesper H. Christensen Aarhus University
Andrés Alastuey
Andrés Alastuey Spanish National Research Council
Anna Avila
Anna Avila Autonomous University of Barcelona
Xinrong Ren
Xinrong Ren University of Maryland, College Park
John Munthe
John Munthe IVL - Swedish Environmental Research Institute
Laurier Poissant
Laurier Poissant Environment and Climate Change Canada
Pieter P. Tans
Pieter P. Tans National Oceanic and Atmospheric Administration

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