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Dive into the research topics where Russell W. Long is active.

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Featured researches published by Russell W. Long.


Sensors | 2016

Performance Evaluation and Community Application of Low-Cost Sensors for Ozone and Nitrogen Dioxide

Rachelle M. Duvall; Russell W. Long; Melinda R. Beaver; Keith Kronmiller; Michael Wheeler; James J. Szykman

This study reports on the performance of electrochemical-based low-cost sensors and their use in a community application. CairClip sensors were collocated with federal reference and equivalent methods and operated in a network of sites by citizen scientists (community members) in Houston, Texas and Denver, Colorado, under the umbrella of the NASA-led DISCOVER-AQ Earth Venture Mission. Measurements were focused on ozone (O3) and nitrogen dioxide (NO2). The performance evaluation showed that the CairClip O3/NO2 sensor provided a consistent measurement response to that of reference monitors (r2 = 0.79 in Houston; r2 = 0.72 in Denver) whereas the CairClip NO2 sensor measurements showed no agreement to reference measurements. The CairClip O3/NO2 sensor data from the citizen science sites compared favorably to measurements at nearby reference monitoring sites. This study provides important information on data quality from low-cost sensor technologies and is one of few studies that reports sensor data collected directly by citizen scientists.


Journal of Geophysical Research | 2016

Quantifying the contribution of thermally driven recirculation to a high-ozone event along the Colorado Front Range using lidar

John T. Sullivan; Thomas J. McGee; A. O. Langford; Raul J. Alvarez; Christoph J. Senff; Patrick J. Reddy; Anne M. Thompson; Laurence Twigg; Grant Sumnicht; Pius Lee; Andrew J. Weinheimer; Christoph Knote; Russell W. Long; Raymond M. Hoff

A high-ozone (O3) pollution episode was observed on 22 July 2014 during the concurrent “Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality” (DISCOVER-AQ) and “Front Range Air Pollution and Photochemistry Experiment” (FRAPPE) campaigns in northern Colorado. Surface O3 monitors at three regulatory sites exceeded the Environmental Protection Agency (EPA) 2008 National Ambient Air Quality Standard (NAAQS) daily maximum 8-hr average (MDA8) of 75 ppbv. To further characterize the polluted air mass and assess transport throughout the event, measurements are presented from O3 and wind profilers, O3-sondes, aircraft, and surface monitoring sites. Observations indicate thermally-driven upslope flow was established throughout the Colorado Front Range during the pollution episode. As the thermally-driven flow persisted throughout the day, O3 concentrations increased and affected high-elevation Rocky Mountain sites. These observations, coupled with modeling analyses, demonstrate a westerly return flow of polluted air aloft, indicating the mountain-plains solenoid circulation was established and impacted surface conditions within the Front Range.


Journal of Geophysical Research | 2016

Formaldehyde Column Density Measurements as a Suitable Pathway to Estimate Near-Surface Ozone Tendencies from Space

Jason R. Schroeder; J. H. Crawford; Alan Fried; James G. Walega; Andrew J. Weinheimer; Armin Wisthaler; Markus Müller; Tomas Mikoviny; G. Chen; Michael Shook; D. R. Blake; Glenn S. Diskin; Mark Estes; Anne M. Thompson; Barry Lefer; Russell W. Long; Eric Mattson

In support of future satellite missions that aim to address the current shortcomings in measuring air quality from space, NASAs Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) field campaign was designed to enable exploration of relationships between column measurements of trace species relevant to air quality at high spatial and temporal resolution. In the DISCOVER-AQ data set, a modest correlation (r 2 = 0.45) between ozone (O3) and formaldehyde (CH2O) column densities was observed. Further analysis revealed regional variability in the O3-CH2O relationship, with Maryland having a strong relationship when data were viewed temporally and Houston having a strong relationship when data were viewed spatially. These differences in regional behavior are attributed to differences in volatile organic compound (VOC) emissions. In Maryland, biogenic VOCs were responsible for ~28% of CH2O formation within the boundary layer column, causing CH2O to, in general, increase monotonically throughout the day. In Houston, persistent anthropogenic emissions dominated the local hydrocarbon environment, and no discernable diurnal trend in CH2O was observed. Box model simulations suggested that ambient CH2O mixing ratios have a weak diurnal trend (±20% throughout the day) due to photochemical effects, and that larger diurnal trends are associated with changes in hydrocarbon precursors. Finally, mathematical relationships were developed from first principles and were able to replicate the different behaviors seen in Maryland and Houston. While studies would be necessary to validate these results and determine the regional applicability of the O3-CH2O relationship, the results presented here provide compelling insight into the ability of future satellite missions to aid in monitoring near-surface air quality.


Atmospheric Measurement Techniques | 2017

Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles

Travis Knepp; James S. Szykman; Russell W. Long; Rachelle M. Duvall; Jonathan Krug; Melinda R. Beaver; Kevin Cavender; Keith Kronmiller; Michael Wheeler; Ruben Delgado; Raymond M. Hoff; Timothy A. Berkoff; Erik R. Olson; Richard D. Clark; Daniel E. Wolfe; David van Gilst; Doreen O. Neil

Differing boundary/mixed-layer height measurement methods were assessed in moderately-polluted and clean environments, with a focus on the Vaisala CL51 ceilometer. This intercomparison was performed as part of ongoing measurements at the Chemistry And Physics of the Atmospheric Boundary Layer Experiment (CAPABLE) site in Hampton, Virginia and during the 2014 Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) field campaign that took place in and around Denver, Colorado. We analyzed CL51 data that were collected via two different methods (BLView software, which applied correction factors, and simple terminal emulation logging) to determine the impact of data collection methodology. Further, we evaluated the STRucture of the ATmosphere (STRAT) algorithm as an open-source alternative to BLView (note that the current work presents an evaluation of the BLView and STRAT algorithms and does not intend to act as a validation of either). Filtering criteria were defined according to the change in mixed-layer height (MLH) distributions for each instrument and algorithm and were applied throughout the analysis to remove high-frequency fluctuations from the MLH retrievals. Of primary interest was determining how the different data-collection methodologies and algorithms compare to each other and to radiosonde-derived boundary-layer heights when deployed as part of a larger instrument network. We determined that data-collection methodology is not as important as the processing algorithm and that much of the algorithm differences might be driven by impacts of local meteorology and precipitation events that pose algorithm difficulties. The results of this study show that a common processing algorithm is necessary for LIght Detection And Ranging (LIDAR)-based MLH intercomparisons, and ceilometer-network operation and that sonde-derived boundary layer heights are higher (10-15% at mid-day) than LIDAR-derived mixed-layer heights. We show that averaging the retrieved MLH to 1-hour resolution (an appropriate time scale for a priori data model initialization) significantly improved correlation between differing instruments and differing algorithms.


Atmospheric Measurement Techniques Discussions | 2018

The First Evaluation of Formaldehyde Column Observations by Pandora Spectrometers during the KORUS-AQ Field Study

Elena Spinei; Andrew Whitehill; Alan Fried; Martin Tiefengraber; Travis Knepp; Scott C. Herndon; Jay R. Herman; Moritz Müller; Nader Abuhassan; Alexander Cede; Petter Weibring; Dirk Richter; James G. Walega; J. H. Crawford; James J. Szykman; Lukas C. Valin; David J. Williams; Russell W. Long; Robert J. Swap; Youngjae Lee; Nabil Nowak; Brett Poche

uncertainty and the uncertainty in the air mass factors. Validation of such measurements is challenging due to air volume sampling differences between different platforms. In this paper we present HCHO total columns from DOAS measurements of unscattered, direct-sun photons using NASA/GSFC (National Aeronautics and Space Administration / Goddard Space Flight Center) Pandora instruments and in-situ measurements over two sites during the Korea-United States Air Quality Study (KORUSAQ) conducted in May-June 2016 in South Korea.


Environmental Health Perspectives | 2003

Ambient particulate air pollution, heart rate variability, and blood markers of inflammation in a panel of elderly subjects.

C. Arden Pope; Matthew L Hansen; Russell W. Long; Karen R. Nielsen; Norman L. Eatough; William E. Wilson; Delbert J. Eatough


Journal of Geophysical Research | 2005

Measurement of total PM2.5 mass (nonvolatile plus semivolatile) with the Filter Dynamic Measurement System tapered element oscillating microbalance monitor

Brett D. Grover; Michael Kleinman; Norman L. Eatough; Delbert J. Eatough; Philip K. Hopke; Russell W. Long; William E. Wilson; Michael Meyer; Jeffrey L. Ambs


Atmospheric Environment | 2008

Source apportionment of 1 h semi-continuous data during the 2005 Study of Organic Aerosols in Riverside (SOAR) using positive matrix factorization

Delbert J. Eatough; Brett D. Grover; Woods R. Woolwine; Norman L. Eatough; Russell W. Long; Robert J. Farber


Energy & Fuels | 2002

Sources of Fine Particulate Material along the Wasatch Front

Russell W. Long; Rachel Smith; Scott M. Smith; Norman L. Eatough; and Nolan F. Mangelson; Delbert J. Eatough; C. Arden Pope; William E. Wilson


Atmospheric Measurement Techniques | 2015

Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013

Caroline R. Nowlan; Xiong Liu; James W. Leitch; Kelly Chance; Gonzalo González Abad; Cheng Liu; Peter Zoogman; Joshua Cole; Thomas Delker; William Good; Frank Murcray; Lyle Ruppert; Daniel Soo; Melanie B. Follette-Cook; Scott J. Janz; Matthew G. Kowalewski; Christopher P. Loughner; Kenneth E. Pickering; Jay R. Herman; Melinda R. Beaver; Russell W. Long; James J. Szykman; Laura Judd; Paul Kelley; Winston T. Luke; Xinrong Ren; Jassim A. Al-Saadi

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Norman L. Eatough

California Polytechnic State University

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Andrew J. Weinheimer

National Center for Atmospheric Research

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Anne M. Thompson

Goddard Space Flight Center

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William E. Wilson

United States Environmental Protection Agency

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D. R. Blake

University of California

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