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Featured researches published by Fan Mei.


Bulletin of the American Meteorological Society | 2017

The Green Ocean Amazon Experiment (GoAmazon2014/5) Observes Pollution Affecting Gases, Aerosols, Clouds, and Rainfall over the Rain Forest

Scot T. Martin; Paulo Artaxo; Luiz A. T. Machado; Antonio O. Manzi; Rodrigo Augusto Ferreira de Souza; Courtney Schumacher; Jian Wang; Thiago Biscaro; Joel Brito; Alan J. P. Calheiros; K. Jardine; A. Medeiros; B. Portela; S. S. de Sá; Koichi Adachi; A. C. Aiken; Rachel I. Albrecht; L. M. Alexander; Meinrat O. Andreae; Henrique M. J. Barbosa; Peter R. Buseck; Duli Chand; Jennifer M. Comstock; Douglas A. Day; Manvendra K. Dubey; Jiwen Fan; Jerome D. Fast; Gilberto Fisch; Edward Charles Fortner; Scott E. Giangrande

AbstractThe Observations and Modeling of the Green Ocean Amazon 2014–2015 (GoAmazon2014/5) experiment took place around the urban region of Manaus in central Amazonia across 2 years. The urban pollution plume was used to study the susceptibility of gases, aerosols, clouds, and rainfall to human activities in a tropical environment. Many aspects of air quality, weather, terrestrial ecosystems, and climate work differently in the tropics than in the more thoroughly studied temperate regions of Earth. GoAmazon2014/5, a cooperative project of Brazil, Germany, and the United States, employed an unparalleled suite of measurements at nine ground sites and on board two aircraft to investigate the flow of background air into Manaus, the emissions into the air over the city, and the advection of the pollution downwind of the city. Herein, to visualize this train of processes and its effects, observations aboard a low-flying aircraft are presented. Comparative measurements within and adjacent to the plume followed t...


Nature | 2016

Amazon boundary layer aerosol concentration sustained by vertical transport during rainfall

Jian Wang; Radovan Krejci; Scott E. Giangrande; Chongai Kuang; Henrique M. J. Barbosa; Joel Brito; Samara Carbone; Xuguang Chi; Jennifer M. Comstock; Florian Ditas; Jošt V. Lavrič; H. E. Manninen; Fan Mei; Daniel Moran-Zuloaga; Christopher Pöhlker; Mira L. Pöhlker; Jorge Saturno; Beat Schmid; Rodrigo Augusto Ferreira de Souza; Stephen R. Springston; Jason M. Tomlinson; Tami Toto; David Walter; Daniela Wimmer; James N. Smith; Markku Kulmala; Luiz A. T. Machado; Paulo Artaxo; Meinrat O. Andreae; Tuukka Petäjä

The nucleation of atmospheric vapours is an important source of new aerosol particles that can subsequently grow to form cloud condensation nuclei in the atmosphere. Most field studies of atmospheric aerosols over continents are influenced by atmospheric vapours of anthropogenic origin (for example, ref. 2) and, in consequence, aerosol processes in pristine, terrestrial environments remain poorly understood. The Amazon rainforest is one of the few continental regions where aerosol particles and their precursors can be studied under near-natural conditions, but the origin of small aerosol particles that grow into cloud condensation nuclei in the Amazon boundary layer remains unclear. Here we present aircraft- and ground-based measurements under clean conditions during the wet season in the central Amazon basin. We find that high concentrations of small aerosol particles (with diameters of less than 50 nanometres) in the lower free troposphere are transported from the free troposphere into the boundary layer during precipitation events by strong convective downdrafts and weaker downward motions in the trailing stratiform region. This rapid vertical transport can help to maintain the population of particles in the pristine Amazon boundary layer, and may therefore influence cloud properties and climate under natural conditions.


Bulletin of the American Meteorological Society | 2014

The DOE ARM Aerial Facility

Beat Schmid; Jason M. Tomlinson; John M. Hubbe; Jennifer M. Comstock; Fan Mei; Duli Chand; Mikhail S. Pekour; Celine D. Kluzek; E. Andrews; S. Biraud; Greg M. McFarquhar

The Department of Energy Atmospheric Radiation Measurement (ARM) program is a climate research user facility operating stationary ground sites that provide long-term measurements of climate-relevant properties, mobile ground- and ship-based facilities to conduct shorter field campaigns (6–12 months), and the ARM Aerial Facility (AAF). The airborne observations acquired by the AAF enhance the surface-based ARM measurements by providing high-resolution in situ measurements for process understanding, retrieval-algorithm development, and model evaluation that are not possible using surface-or satellite-based techniques. Several ARM aerial efforts were consolidated to form AAF in 2006. With the exception of a small aircraft used for routine measurements of aerosols and carbon cycle gases, AAF at the time had no dedicated aircraft and only a small number of instruments at its disposal. AAF successfully carried out several missions contracting with organizations and investigators who provided their research airc...


Science | 2018

Substantial convection and precipitation enhancements by ultrafine aerosol particles

Jiwen Fan; Daniel Rosenfeld; Yuwei Zhang; Scott E. Giangrande; Zhanqing Li; Luiz A. T. Machado; Scot T. Martin; Yan Yang; Jian Wang; Paulo Artaxo; Henrique M. J. Barbosa; Ramon Campos Braga; Jennifer M. Comstock; Zhe Feng; Wenhua Gao; Helber Barros Gomes; Fan Mei; Christopher Pöhlker; Mira L. Pöhlker; Ulrich Pöschl; Rodrigo Augusto Ferreira de Souza

Up with ultrafine aerosol particles Ultrafine aerosol particles (smaller than 50 nanometers in diameter) have been thought to be too small to affect cloud formation. Fan et al. show that this is not the case. They studied the effect of urban pollution transported into the otherwise nearly pristine atmosphere of the Amazon. Condensational growth of water droplets around the tiny particles releases latent heat, thereby intensifying atmospheric convection. Thus, anthropogenic ultrafine aerosol particles may exert a more important influence on cloud formation processes than previously believed. Science, this issue p. 411 Water droplet condensation by ultrafine aerosol particles fuels more intense atmospheric convection. Aerosol-cloud interactions remain the largest uncertainty in climate projections. Ultrafine aerosol particles smaller than 50 nanometers (UAP<50) can be abundant in the troposphere but are conventionally considered too small to affect cloud formation. Observational evidence and numerical simulations of deep convective clouds (DCCs) over the Amazon show that DCCs forming in a low-aerosol environment can develop very large vapor supersaturation because fast droplet coalescence reduces integrated droplet surface area and subsequent condensation. UAP<50 from pollution plumes that are ingested into such clouds can be activated to form additional cloud droplets on which excess supersaturation condenses and forms additional cloud water and latent heating, thus intensifying convective strength. This mechanism suggests a strong anthropogenic invigoration of DCCs in previously pristine regions of the world.


Journal of Geophysical Research | 2016

The Two-Column Aerosol Project: Phase I - Overview and Impact of Elevated Aerosol Layers on Aerosol Optical Depth

Larry K. Berg; Jerome D. Fast; James C. Barnard; Sharon Burton; Brian Cairns; Duli Chand; Jennifer M. Comstock; Stephen E. Dunagan; Richard A. Ferrare; Connor J. Flynn; Johnathan W. Hair; Chris A. Hostetler; John M. Hubbe; Anne Jefferson; Roy R. Johnson; Evgueni I. Kassianov; Celine D. Kluzek; Pavlos Kollias; Katia Lamer; Kathleen Lantz; Fan Mei; Mark A. Miller; Joseph Michalsky; Ivan Ortega; Mikhail S. Pekour; Ray Rogers; Philip B. Russell; J. Redemann; Arthur J. Sedlacek; Michal Segal-Rosenheimer

The Two-Column Aerosol Project (TCAP), conducted from June 2012 through June 2013, was a unique study designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to aerosol mixing state and aerosol radiative forcing. The study was designed to sample the atmosphere between and within two atmospheric columns; one fixed near the coast of North America (over Cape Cod, MA) and a second moveable column over the Atlantic Ocean several hundred kilometers from the coast. The U.S. Department of Energys (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was deployed at the base of the Cape Cod column, and the ARM Aerial Facility was utilized for the summer and winter intensive observation periods. One important finding from TCAP is that four of six nearly cloud-free flight days had aerosol layers aloft in both the Cape Cod and maritime columns that were detected using the nadir pointing second-generation NASA high-spectral resolution lidar (HSRL-2). These layers contributed up to 60% of the total observed aerosol optical depth (AOD). Many of these layers were also intercepted by the aircraft configured for in situ sampling, and the aerosol in the layers was found to have increased amounts of biomass burning material and nitrate compared to aerosol found near the surface. In addition, while there was a great deal of spatial and day-to-day variability in the aerosol chemical composition and optical properties, no systematic differences between the two columns were observed.


Journal of Geophysical Research | 2016

Influences of upwind emission sources and atmospheric processing on aerosol chemistry and properties at a rural location in the Northeastern U.S.

Shan Zhou; Sonya Collier; Jianzhong Xu; Fan Mei; Jian Wang; Yin Nan Lee; Arthur J. Sedlacek; Stephen R. Springston; Yele Sun; Qi Zhang

Continuous real-time measurements of atmospheric aerosol with an Aerodyne high-resolution time-of-flight aerosol mass spectrometer coupled with a fast temperature-stepping thermodenuder were carried out in summer 2011 at Brookhaven National Laboratory (BNL, 40.871°N, 72.89°W) during the Department of Energy Aerosol Life Cycle Intensive Operational Period campaign. BNL was frequently downwind of emissions from the New York metropolitan area and was exposed to various combinations of anthropogenic, biogenic, and marine emissions based on air mass history. The average concentration of submicrometer aerosol (PM1) during this study was 12.6 µg m−3 with 64% of the mass being organic. Organic aerosol (OA) at BNL was found to be overwhelmingly secondary, consisting of (1) a fresher, semivolatile oxygenated organic aerosol (SV-OOA; oxygen-to-carbon ratio (O/C) = 0.54; 63% of OA mass) that was strongly influenced by transported urban plumes; (2) a regional, more aged, low-volatility OOA (LV-OOA; O/C = 0.97; 29% of OA mass) influenced by aqueous-phase processing; and (3) a nitrogen-enriched OA (NOA; nitrogen-to-carbon ratio (N/C) = 0.185; 8% of OA mass) likely composed of amine salts formed from acid-base reactions in industrial emissions. Urban emissions from the New York metropolitan areas to the W and SW in particular led to elevated PM1 mass concentration and altered aerosol composition at BNL. Transported urban plumes and local biogenic emissions likely interacted to enhance secondary organic aerosol production, primarily represented by SV-OOA. These results suggest an important role that urban anthropogenic emissions play in affecting ambient PM concentration, composition, and physical-chemical properties at rural areas in the Northeast U.S.


Bulletin of the American Meteorological Society | 2018

A Bird’s-Eye View: Development of an Operational ARM Unmanned Aerial Capability for Atmospheric Research in Arctic Alaska

Gijs de Boer; Mark D. Ivey; Beat Schmid; Dale A. Lawrence; Darielle Dexheimer; Fan Mei; John M. Hubbe; Albert Bendure; Jasper O. E. Hardesty; Matthew D. Shupe; Allison McComiskey; Hagen Telg; Carl Schmitt; Sergey Y. Matrosov; Ian M. Brooks; Jessie Creamean; Amy Solomon; David D. Turner; Christopher Williams; Maximilian Maahn; Brian Argrow; Scott E. Palo; Charles N. Long; R. S. Gao; James H. Mather

AbstractThorough understanding of aerosols, clouds, boundary layer structure, and radiation is required to improve the representation of the Arctic atmosphere in weather forecasting and climate models. To develop such understanding, new perspectives are needed to provide details on the vertical structure and spatial variability of key atmospheric properties, along with information over difficult-to-reach surfaces such as newly forming sea ice. Over the last three years, the U.S. Department of Energy (DOE) has supported various flight campaigns using unmanned aircraft systems [UASs, also known as unmanned aerial vehicles (UAVs) and drones] and tethered balloon systems (TBSs) at Oliktok Point, Alaska. These activities have featured in situ measurements of the thermodynamic state, turbulence, radiation, aerosol properties, cloud microphysics, and turbulent fluxes to provide a detailed characterization of the lower atmosphere. Alongside a suite of active and passive ground-based sensors and radiosondes deploy...


Journal of Geophysical Research | 2013

Droplet activation properties of organic aerosols observed at an urban site during CalNex‐LA

Fan Mei; Patrick L. Hayes; Amber M. Ortega; J. W. Taylor; J. D. Allan; J. B. Gilman; William C. Kuster; Joost A. de Gouw; Jose L. Jimenez; Jian Wang


Atmospheric Chemistry and Physics | 2016

Influence of urban pollution on the production of organic particulate matter from isoprene epoxydiols in central Amazonia

Suzane S. de Sá; Brett B. Palm; Pedro Campuzano-Jost; Douglas A. Day; Matthew K. Newburn; Weiwei Hu; Gabriel Isaacman-VanWertz; L. D. Yee; Ryan Thalman; Joel Brito; Samara Carbone; Paulo Artaxo; Allen H. Goldstein; Antonio O. Manzi; Rodrigo Augusto Ferreira de Souza; Fan Mei; John E. Shilling; Stephen R. Springston; Jian Wang; Jason D. Surratt; M. Lizabeth Alexander; Jose L. Jimenez; Scot T. Martin


Atmospheric Chemistry and Physics | 2016

Impacts of the Manaus pollution plume on the microphysical properties of Amazonian warm-phase clouds in the wet season

Micael A. Cecchini; Luiz A. T. Machado; Jennifer M. Comstock; Fan Mei; Jian Wang; Jiwen Fan; Jason M. Tomlinson; Beat Schmid; Rachel I. Albrecht; Scot T. Martin; Paulo Artaxo

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Jennifer M. Comstock

Pacific Northwest National Laboratory

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Jason M. Tomlinson

Pacific Northwest National Laboratory

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John M. Hubbe

Pacific Northwest National Laboratory

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Stephen R. Springston

Brookhaven National Laboratory

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Arthur J. Sedlacek

Brookhaven National Laboratory

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John E. Shilling

Pacific Northwest National Laboratory

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Mikhail S. Pekour

Pacific Northwest National Laboratory

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Beat Schmid

Pacific Northwest National Laboratory

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Scot T. Martin

University of North Carolina at Chapel Hill

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