2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) (ICPSR doi:10.26165/JUELICH-DATA/BQOLQF)

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Document Description

Citation

Title:

2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)

Identification Number:

doi:10.26165/JUELICH-DATA/BQOLQF

Distributor:

Jülich DATA

Date of Distribution:

2020-11-03

Version:

1

Bibliographic Citation:

Gkatzelis, Georgios; Dimitrios K. Papanastasiou; Vlassis A. Karydis; Thorsten Hohaus; Ying Liu; Sebastian H. Schmitt; Patrick Schlag; Hendrik Fuchs; Anna Novelli; Qi Chen; Xi Cheng; Sebastian Broch; Huabin Dong; Frank Holland; Xin Li; Yuhan Liu; Xuefei Ma; David Reimer; Franz Rohrer; Min Shao; Zhaofeng Tan; Domenico Taraborrelli; Ralf Tillmann; Haichao Wang; Yu Wang; Yusheng Wu; Zhijun Wu; Limin Zheng; Jun Zheng; Min Hu; Keding Lu; Andreas Hofzumahaus; Yuanhang Zhang; Andreas Wahner; Astrid Kiendler-Scharr, 2020, "2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)", https://doi.org/10.26165/JUELICH-DATA/BQOLQF, Jülich DATA, V1

Study Description

Citation

Title:

2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)

Identification Number:

doi:10.26165/JUELICH-DATA/BQOLQF

Authoring Entity:

Gkatzelis, Georgios (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Dimitrios K. Papanastasiou (Independent Researcher, Buffalo NY USA.)

Vlassis A. Karydis (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Thorsten Hohaus (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Ying Liu (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Sebastian H. Schmitt (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Patrick Schlag (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Hendrik Fuchs (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Anna Novelli (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Qi Chen (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Xi Cheng (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Sebastian Broch (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Huabin Dong (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Frank Holland (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Xin Li (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Yuhan Liu (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Xuefei Ma (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

David Reimer (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Franz Rohrer (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Min Shao (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Zhaofeng Tan (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Domenico Taraborrelli (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Ralf Tillmann (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Haichao Wang (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Yu Wang (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Yusheng Wu (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Zhijun Wu (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Limin Zheng (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Jun Zheng (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Min Hu (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Keding Lu (State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China.)

Andreas Hofzumahaus (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Yuanhang Zhang (International Joint Laboratory for Regional Pollution Control, Jülich, Germany, and Beijing, China)

Andreas Wahner (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Astrid Kiendler-Scharr (Institute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, Germany.)

Software used in Production:

IGOR Pro

Distributor:

Jülich DATA

Access Authority:

Gkatzelis, Georgios

Depositor:

Gkatzelis, Georgios

Date of Deposit:

2020-11-02

Study Scope

Keywords:

Chemistry, Earth and Environmental Sciences, Urban pollution, haze events, China

Abstract:

This dataset is based on the 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) and is a product of the International Joint Laboratory for Regional Pollution Control, Jülich, Germany, and Beijing, China. More specifically, this dataset is provided in order for users to replicate the results from the Gkatzelis et al. publication. It includes time-series of species in the gas- and particle-phase during measurements performed in Huairou, Northeast of Beijing, in the winter of 2016. Also, provided is the output of the Positive Matrix Factorization model analysis.

Time Period:

2016-01-01-2016-03-07

Date of Collection:

2016-01-01-2016-03-07

Kind of Data:

observation data

Kind of Data:

process-produced data

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Other Study-Related Materials

Label:

GasPhase_GCMS_ConcentrationData_timeseries.csv

Text:

Time-series of gas-phase compounds measured by Gas Chromatography-Mass Spectrometry (GC-MS). For each column, the naming e.g. "MethyleneChloride_ppbv", corresponds to the name of the compound (MethyleneChloride), and the measurement units (ppbv=parts per billion). The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

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Other Study-Related Materials

Label:

GasPhase_NO3CIMS_ConcentrationData_timeseries.csv

Text:

Time-series of gas-phase compounds measured by Nitrate Chemical Ionization Mass Spectrometry (NO3-CIMS). For each column, the naming e.g. "SumofMassRange_220to250_pptv", corresponds to the sum of the masses detected in the range from 220 to 250 u. The measurement units are in pptv=parts per trillion. The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

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Other Study-Related Materials

Label:

GasPhase_PTRToFMS_ConcentrationData_timeseries.csv

Text:

Time-series of gas-phase compounds measured by a Proton Transfer Reaction - Time of Flight - Mass Spectrometer (PTR-ToF-MS). For each column, the naming e.g. "m31_CH2O_ppbv", corresponds to the unit mass of detection (m31 = 31 u), the chemical formula of the detected compound (CH2O), and the measurement units (ppbv=parts per billion). The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

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Other Study-Related Materials

Label:

Meteorology_RawData_timeseries.csv

Text:

Time-series of temperature in Celsius units and relative humidity (RH) in %. The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

text/plain

Other Study-Related Materials

Label:

ParticlePhase_AerosolLiquidWater_ConcentrationData_timeseries.csv

Text:

Time-series of aerosol liquid water in micrograms per cubic meter (ugm3). The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

text/plain

Other Study-Related Materials

Label:

ParticlePhase_AMS_ConcentrationData_timeseries.csv

Text:

Time-series of aerosol organics, nitrate, ammonium, sulfate, and chloride in micrograms per cubic meter (ugm3) as derived by an Aerosol Mass Spectrometer. The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

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Other Study-Related Materials

Label:

PositiveMatrixFactorization_GasPhase_Profiles.csv

Text:

Profiles of the different pollution sources in the gas-phase based on the outcome of the positive matrix factorization model. File delimiter is the tabstop.

Notes:

text/plain

Other Study-Related Materials

Label:

PositiveMatrixFactorization_GasPhase_Timeseries.csv

Text:

Time-series of the different pollution sources in the gas-phase based on the outcome of the positive matrix factorization model. The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

text/plain

Other Study-Related Materials

Label:

PositiveMatrixFactorization_ParticlePhase_Profiles.csv

Text:

Profiles of the different pollution sources in the particle-phase based on the outcome of the positive matrix factorization model. File delimiter is the tabstop.

Notes:

text/plain

Other Study-Related Materials

Label:

PositiveMatrixFactorization_ParticlePhase_Timeseries.csv

Text:

Time-series of the different pollution sources in the particle-phase based on the outcome of the positive matrix factorization model. The value -9999 is given to non-existing data. File delimiter is the tabstop.

Notes:

text/plain