Paul I Williams

Dr. Paul I Williams

National Centre for Atmospheric Science/Department of Earth and Env. Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 December 2009 in Science
Verified
Journal Article
Closed access
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JJJ. L. Jimenez
J. L. Jimenez
MCM. R. Canagaratna
M. R. Canagaratna
NDN. M. Donahue
N. M. Donahue
APA. S. H. Prevot
A. S. H. Prevot
QZQ. Zhang
Q. Zhang
DWD. R. Worsnop
D. R. Worsnop
Framework for Change: Organic aerosols make up 20 to 90% of the particulate mass of the troposphere and are important factors in both climate and human heath. However, their sources and removal pathways are very uncertain, and their atmospheric evolution is poorly characterized. Jimenez et al. (p. 1525 ; see the Perspective by Andreae ) present an integrated framework of organic aerosol compositional evolution in the atmosphere, based on model results and field and laboratory data that simulate the dynamic aging behavior of organic aerosols. Particles become more oxidized, more hygroscopic, and less volatile with age, as they become oxygenated organic aerosols. These results should lead to better predictions of climate and air quality.

7 July 2007 in Geophysical Research Letters
Verified
Journal Article
Open access
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QZQ. Zhang
Q. Zhang
JJJ. L. Jimenez
J. L. Jimenez
MCM. R. Canagaratna
M. R. Canagaratna
JAJ. D. Allan
J. D. Allan
HCH. Coe
H. Coe
DWD. R. Worsnop
D. R. Worsnop
Organic aerosol (OA) data acquired by the Aerosol Mass Spectrometer (AMS) in 37 field campaigns were deconvolved into hydrocarbon‐like OA (HOA) and several types of oxygenated OA (OOA) components. HOA has been linked to primary combustion emissions (mainly from fossil fuel) and other primary sources such as meat cooking. OOA is ubiquitous in various atmospheric environments, on average accounting for 64%, 83% and 95% of the total OA in urban, urban downwind, and rural/remote sites, respectively. A case study analysis of a rural site shows that the OOA concentration is much greater than the advected HOA, indicating that HOA oxidation is not an important source of OOA, and that OOA increases are mainly due to SOA. Most global models lack an explicit representation of SOA which may lead to significant biases in the magnitude, spatial and temporal distributions of OA, and in aerosol hygroscopic properties.

29 March 2012 in Atmospheric Measurement Techniques
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Journal Article
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AWAlfred Wiedensohler
Alfred Wiedensohler
WBW. Birmili
W. Birmili
ANA. Nowak
A. Nowak
ASA. Sonntag
A. Sonntag
KWK. Weinhold
K. Weinhold
SBS. Bastian
S. Bastian
Mobility particle size spectrometers often referred to as DMPS (Differential Mobility Particle Sizers) or SMPS (Scanning Mobility Particle Sizers) have found a wide range of applications in atmospheric aerosol research. However, comparability of measurements conducted world-wide is hampered by lack of generally accepted technical standards and guidelines with respect to the instrumental set-up, measurement mode, data evaluation as well as quality control. Technical standards were developed for a minimum requirement of mobility size spectrometry to perform long-term atmospheric aerosol measurements. Technical recommendations include continuous monitoring of flow rates, temperature, pressure, and relative humidity for the sheath and sample air in the differential mobility analyzer. We compared commercial and custom-made inversion routines to calculate the particle number size distributions from the measured electrical mobility distribution. All inversion routines are comparable within few per cent uncertainty for a given set of raw data. Furthermore, this work summarizes the results from several instrument intercomparison workshops conducted within the European infrastructure project EUSAAR (European Supersites for Atmospheric Aerosol Research) and ACTRIS (Aerosols, Clouds, and Trace gases Research InfraStructure Network) to determine present uncertainties especially of custom-built mobility particle size spectrometers. Under controlled laboratory conditions, the particle number size distributions from 20 to 200 nm determined by mobility particle size spectrometers of different design are within an uncertainty range of around ±10% after correcting internal particle losses, while below and above this size range the discrepancies increased. For particles larger than 200 nm, the uncertainty range increased to 30%, which could not be explained. The network reference mobility spectrometers with identical design agreed within ±4% in the peak particle number concentration when all settings were done carefully. The consistency of these reference instruments to the total particle number concentration was demonstrated to be less than 5%. Additionally, a new data structure for particle number size distributions was introduced to store and disseminate the data at EMEP (European Monitoring and Evaluation Program). This structure contains three levels: raw data, processed data, and final particle size distributions. Importantly, we recommend reporting raw measurements including all relevant instrument parameters as well as a complete documentation on all data transformation and correction steps. These technical and data structure standards aim to enhance the quality of long-term size distribution measurements, their comparability between different networks and sites, and their transparency and traceability back to raw data.

27 February 2017 in Nature Geoscience
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Journal Article
Closed access
Dantong LiuDantong Liu
Dantong Liu
JWJames Whitehead
James Whitehead
MAM. Rami Alfarra
M. Rami Alfarra
ERErnesto Reyes-Villegas
Ernesto Reyes-Villegas
DSDominick V. Spracklen
Dominick V. Spracklen
JAJames D. Allan
James D. Allan

1 June 2004 in Aerosol Science and Technology
Verified
Journal Article
Open access
MCManjula R. Canagaratna
Manjula R. Canagaratna
JJJohn T. Jayne
John T. Jayne
DGDavid A. Ghertner
David A. Ghertner
SHScott Herndon
Scott Herndon
QSQuan Shi
Quan Shi
DWDouglas R. Worsnop
Douglas R. Worsnop
Emissions from motor vehicles are a significant source of fine particulate matter (PM) and gaseous pollutants in urban environments. Few studies have characterized both gaseous and PM emissions from individual in-use vehicles under real-world driving conditions. Here we describe chase vehicle studies in which on-road emissions from individual vehicles were measured in real time within seconds of their emission. This work uses an Aerodyne aerosol mass spectrometer (AMS) to provide size-resolved and chemically resolved characterization of the nonrefractory portion of the emitted PM; refractory materials such as elemental carbon (EC) were not measured in this study. The AMS, together with other gas-phase and particle instrumentation, was deployed on the Aerodyne Research Inc. (ARI) mobile laboratory, which was used to “chase” the target vehicles. Tailpipe emission indices of the targeted vehicles were obtained by referencing the measured nonrefractory particulate mass loading to the instantaneous CO2 measured simultaneously in the plume. During these studies, nonrefractory PM1.0 (NRPM1) emission indices for a representative fraction of the New York City Metropolitan Transit Authority (MTA) bus fleet were determined. Diesel bus emissions ranged from 0.10 g NRPM1/kg fuel to 0.23 g NRPM1/kg, depending on the type of engine used by the bus. The average NRPM1 emission index of diesel-powered buses using Continuously Regenerating Technology (CRT™) trap systems was 0.052 g NRPM1/kg fuel. Buses fueled by compressed natural gas (CNG) had an average emission index of 0.034 g NRPM1/kg Fuel. The mass spectra of the nonrefractory diesel aerosol components measured by the AMS were dominated by lubricating oil spectral signatures. Mass-weighted size distributions of the particles in fresh diesel exhaust plumes peak at vacuum aerodynamic diameters around 90 nm with a typical full width at half maximum of 60 nm.

4 February 2003 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
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JAJames D. Allan
James D. Allan
JJJose L. Jimenez
Jose L. Jimenez
PWPaul I Williams
Paul I Williams
MAM. Rami Alfarra
M. Rami Alfarra
KBKeith N. Bower
Keith N. Bower
DWDouglas R. Worsnop
Douglas R. Worsnop