CalNex Observational Data
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Observations made during the 2010 CalNex measurement campaign. This dataset is associated with the following publication: Woody , M., K. Baker , P. Hayes, J. Jimenez, B. Koo, and H. Pye. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 16: 4081-4100, (2016).
CalNex Observational Data
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Observations made during the 2010 CalNex measurement campaign. This dataset is associated with the following publication: Woody , M., K. Baker , P. Hayes, J. Jimenez, B. Koo, and H. Pye. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 16: 4081-4100, (2016).
Condensable PM on Atmospheric organic aerosols and PM2.5 in China data
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Data was generated by the US EPA's CMAQ model and is the industry standard for the past 2 decades. Any use of CMAQ model can handle this data with ease. This dataset is not publicly accessible because: Data belongs to academia. It can be accessed through the following means: contact the first author. Format: netCDF data files using CMAQ. This dataset is associated with the following publication: Li, M., S. Yu, X. Chen, Z. Li, Y. Zhang, Z. Song, W. Liu, P. Li, X. Zhang, M. Zhang, Y. Sun, Z. Liu, C. Sun, J. Jiang, S. Wang, B. Murphy, K. Alapaty, R. Mathur, D. Rosenfeld, and J.H. Seinfeld. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 22(17): 11845–11866, (2022).
Data for: Leveraging scientific community knowledge for air quality model chemistry parameterizations
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Files contain values from Figures 1, 2, and 3 of the article by Pye et al., "Leveraging scientific community knowledge for air quality model chemistry parameterizations," scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms. This dataset is associated with the following publication: Pye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 24-31, (2024).
This dataset contains data presented in the figures of the paper "Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning" published in Atmospheric Chemistry and Physics. It also links to the data archive of field observations. This dataset is associated with the following publication: Murphy, B., M. Woody, J. Jimenez, A.M. Carlton, P. Hayes, S. Liu, N. Ng, L. Russell, A. Setyan, L. Xu, J. Young, R. Zaveri, Q. Zhang, and H. Pye. Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 11107-11133, (2017).
GAGE - Global Atmospheric Gases Experiment dataset, CSIRO Archive - 1981 to 1996
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The CSIRO archive of the Global Atmospheric Gases Experiment (GAGE) datasets which were designed to determine accurately the atmospheric concentrations of the five halocarbons CFCl3, CF2Cl2, CH3CCl3, CCl4 and CCL2FCCLF2 and also of N2O & CH4 with emphasis on measurement of their long-term trends in the atmosphere. Comparison of these concentrations and trends for the five halocarbons with estimates of their industrial emission rates then enabled calculations of their global circulation rates and globally averaged atmospheric lifetimes. The GAGE project was the continuation and expansion of the ALE (Atmospheric Life Experiment) and precursor to the AGAGE (Advanced Global Atmospheric Gases Experiment) global observing system that has been continuously measuring the composition of the atmosphere since. This particular dataset represents measurements taken utilizing automated dual-column electron-capture gas chromatographs which sample the background air about 12 times daily at the following globally distributed sites: Adrigole, Ireland; Cape Meares, Oregon; Ragged Point, Barbados; Cape Matatula, American Samoa; and Cape Grim, Tasmania. Officially GAGE ran for the time period from 1981-1985, although data was continued to be logged until 1996 and is available in yearly files either in Ascii (.txt), Ascii decimal date(.dat) or binary file decimal date format(.dat.bin).
LBA-ECO CD-10 CO2 and H2O Eddy Flux Data at km 67 Tower Site, Tapajos National Forest
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This data set reports eddy flux measurements of CO2 and H2O exchange and associated meteorological measurements at the Para Western (Santarem) - km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from January 2002 through January 2006.Eddy fluxes of CO2 and H2O were measured at two levels (58m and 47m) using tower-mounted closed-path Licor 6262 gas analyzers and Campbell CSAT3 sonic anemometers (Figure 1). Eddy-flux measurements were made at a sampling rate of 8 Hz and averaged over a 1 hour interval.. A comprehensive set of meteorological parameters (air temperature, pressure, PAR, net radiation, precipitation, etc) were also measured.Co-located measurements included a third Licor gas analyzer that measured (a) the CO2 and H2O concentration profiles at 8 levels in and above the canopy (1 level every 2 minutes) and (b) the instantaneous integrated canopy storage of CO2 and H2O, using a design that pulled air simultaneously through all 8 inlets (once every 20 minutes). See related data sets.With the permission of the author, Hutyra, L.R. 2007. Carbon and water exchange in Amazonian rainforests. Ph.D. Thesis, Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts., is included as a companion file.