Real-time Environmental Applications and Display sYstem: READY

Rolph, Glenn D.; Stein, Ariel; Stunder, Barbara J. B.

doi:10.1016/j.envsoft.2017.06.025

Cited by 1,529 publications

(983 citation statements)

References 8 publications

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“…AERONET data are downloaded from the AERONET web page (AERONET, 2017). Backward trajectories analysis has been supported by air mass transport computation with the NOAA (National Oceanic and Atmospheric Administration) HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) model (HYSPLIT, 2017) using GDAS meteorological data (Stein et al, 2015;Rolph et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…The linear volume depolarization ratio, δ V , in a classical sense (Sassen, 1991), can be defined as…”

Section: Polarized Micro-pulse Lidar (P-mpl) Systemmentioning

confidence: 99%

“…Those selected dust, smoke and pollen cases occurred on 5 July, 23 May and 23 March 2016, respectively. HYSPLIT back-trajectory (Hybrid Single Particle Lagrangian Integrated Trajectory model version 4 developed by the NOAA's Air Resources Laboratory (ARL); Draxler and Hess, 1998;Stein et al, 2015;Rolph et al, 2017) analysis is used to confirm the presence of dust and smoke over BCN for each particular case. HYSPLIT back trajectories are calculated for those days ending over BCN at given altitudes and several times in relation with the results obtained and discussed later in Sect.…”

Section: Measurement Station and Selected Aerosol Case Studiesmentioning

confidence: 99%

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Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

et al. 2018

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Abstract. The application of the POLIPHON (POlarizationLIdar PHOtometer Networking) method is presented for the first time in synergy with continuous 24/7 polarized MicroPulse Lidar (P-MPL) measurements to derive the vertical separation of two or three particle components in different aerosol mixtures, and the retrieval of their particular optical properties. The procedure of extinction-to-mass conversion, together with an analysis of the mass extinction efficiency (MEE) parameter, is described, and the relative mass contribution of each aerosol component is also derived in a further step. The general POLIPHON algorithm is based on the specific particle linear depolarization ratio given for different types of aerosols and can be run in either 1-step (POL-1) or 2 steps (POL-2) versions with dependence on either the 2-or 3-component separation. In order to illustrate this procedure, aerosol mixing cases observed over Barcelona (NE Spain) are selected: a dust event on 5 July 2016, smoke plumes detected on 23 May 2016 and a pollination episode observed on 23 March 2016. In particular, the 3-component separation is just applied for the dust case: a combined POL-1 with POL-2 procedure (POL-1/2) is used, and additionally the fine-dust contribution to the total fine mode (fine dust plus non-dust aerosols) is estimated. The high dust impact before 12:00 UTC yields a mean mass loading of 0.6 ± 0.1 g m −2 due to the prevalence of Saharan coarse-dust particles. After that time, the mean mass loading is reduced by two-thirds, showing a rather weak dust incidence. In the smoke case, the arrival of fine biomass-burning particles is detected at altitudes as high as 7 km. The smoke particles, probably mixed with less depolarizing non-smoke aerosols, are observed in air masses, having their origin from either North American fires or the Arctic area, as reported by HYSPLIT backtrajectory analysis. The particle linear depolarization ratio for smoke shows values in the 0.10-0.15 range and even higher at given times, and the daily mean smoke mass loading is 0.017 ± 0.008 g m −2 , around 3 % of that found for the dust event. Pollen particles are detected up to 1.5 km in height from 10:00 UTC during an intense pollination event with a particle linear depolarization ratio ranging between 0.10 and 0.15. The maximal mass loading of Platanus pollen particles is 0.011 ± 0.003 g m −2 , representing around 2 % of the dust loading during the higher dust incidence. Regarding the MEE derived for each aerosol component, their values are in agreement with others referenced in the literature for the specific aerosol types examined in this work: 0.5 ± 0.1 and 1.7 ± 0.2 m 2 g −1 are found for coarse and fine dust particles, 4.5 ± 1.4 m 2 g −1 is derived for smoke and 2.4 ± 0.5 m 2 g −1 for non-smoke aerosols with Arctic origin, and a MEE of 2.4 ± 0.8 m 2 g −1 is obtained for pollen particles, though it can reach higher or lower values depending on predomiPublished by Copernicus Publications on behalf of the European Geosciences Union. 4776 C. Córdoba...

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Section: Resultsmentioning

confidence: 99%

“…The linear volume depolarization ratio, δ V , in a classical sense (Sassen, 1991), can be defined as…”

Section: Polarized Micro-pulse Lidar (P-mpl) Systemmentioning

confidence: 99%

Section: Measurement Station and Selected Aerosol Case Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

et al. 2018

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“…The analysis of backward trajectories was performed by means of the HYSPLIT model (Hybrid Single-Particle Lagrangian Integrated Trajectory; Stein et al, 2015;Rolph, 2016) developed by the NOAA (National Oceanographic and Atmospheric Administration) in collaboration with Australia's Bureau of Meteorology. Two types of multiple trajectory analyses were carried out: cluster analysis and ensemble calculation.…”

Section: Methodsologymentioning

confidence: 99%

Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations

et al. 2017

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Abstract. Strong events of long-range transported biomass burning aerosol were detected during July 2013 at three EARLINET (European Aerosol Research Lidar Network) stations, namely Granada (Spain), Leipzig (Germany) and Warsaw (Poland). Satellite observations from MODIS (Moderate Resolution Imaging Spectroradiometer) and CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) instruments, as well as modeling tools such as HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) and NAAPS (Navy Aerosol Analysis and Prediction System), have been used to estimate the sources and transport paths of those North American forest fire smoke particles. A multiwavelength Raman lidar technique was applied to obtain vertically resolved particle optical properties, and further inversion of those properties with a regularization algorithm allowed for retrieving microphysical information on the studied particles. The results highlight the presence of smoke layers of 1-2 km thickness, located at about 5 km a.s.l. altitude over Granada and Leipzig and around 2.5 km a.s.l. at Warsaw. These layers were intense, as they accounted for more than 30 % of the total AOD (aerosol optical depth) in all cases, and presented optical and microphysical features typical for different aging degrees: color ratio of lidar ratios (LR 532 / LR 355 ) around 2, α-related ångström exponents of less than 1, effective radii of 0.3 µm and large values of single scattering albedos (SSA), nearly spectrally independent. The intensive microphysical properties were compared with columnar retrievals form co-located AERONET (Aerosol Robotic Network) stations. The intensity of the layers was also characterized in terms of particle volume concentration, and then an experimental relationship between this magnitude and the particle extinction coefficient was established.

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“…The NOAA Hysplit back-trajectory model (Rolph et al, 2017;Stein et al, 2015) was used for estimating the origins of air masses. The trajectories were calculated from the observation site at 200 and 500 m above ground level (a.g.l.)…”

Section: Public Domain Data and Analysismentioning

confidence: 99%

Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015

Budisulistiorini¹,

Riva²,

Williams³

et al. 2018

Preprint

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15Abstract. Recurring transboundary haze from Indonesian wildfires in previous decades significantly elevated particulate matter (PM) concentrations in Southeast Asia. During that event on October 10 to 31, 2015, we conducted a real-time observation of non-refractory submicron PM (NR-PM 1 ) in Singapore using an Aerodyne aerosol mass spectrometer.Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM 2.5 ) samples to support source apportionment of the online measurements. The real-time analysis demonstrated that OA accounted for 20 approximately 80% of NR-PM 1 mass during the wildfire haze period. Source apportionment analysis applied to the OA mass spectra using multilinear-engine (ME-2) approach resulted in four factors: hydrocarbon-like OA (HOA), biomass burning OA (BBOA), peat burning OA (PBOA), and oxygenated OA (OOA). The OOA can be considered as a surrogate of both secondary organic aerosol (SOA) and oxidized primary organic aerosol (OPOA), while the other factors are considered as surrogates of primary organic aerosol (POA). The OOA accounted for approximately 50% of the total OA mass in NR-PM 1 , 25 while POA subtypes from wildfires (BBOA and PBOA) contributed to approximately 30% of the total OA mass. Our findings highlight the importance of atmospheric chemical processes, which likely include POA oxidation and SOA formation from oxidation of gaseous precursors, to the OOA concentration. As this research could not separately quantify the POA oxidation and SOA formation processes, further studies should attempt to investigate the contribution of gaseous precursors oxidation and POA aging to the OOA formation in wildfire plumes. 30

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Real-time Environmental Applications and Display sYstem: READY

Cited by 1,529 publications

References 8 publications

Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements

Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations

Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015

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