davifmonticelli / Fixing-FMPS-Data

# Objective: Read TSI WCPC and FMPS data, modify files to account for lag time and time series alignement, and change FMPS signal according to Zimmerman et al. (2015) paper (https://wwww.sciencedirect.com/science/article/pii/S1352231014008516)

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Fixing FMPS Data

Coding Language: R (tested in R 4.2.3 and RStudio 2023.03.0)

Objective: Read TSI WCPCa and FMPSb data, modify files to account for lag time and time series alignement, and change FMPS signal.

References: Zimmerman N, Jeong CH, Wang JM, Ramos M, Wallace JS, Evans GJ. A source-independent empirical correction procedure for the fast mobility and engine exhaust particle sizers. Atmospheric Environment. 2015 Jan 1;100:178-84. (https://wwww.sciencedirect.com/science/article/pii/S1352231014008516)

aWCPC: Water Condensation Particle Counter

bFMPS: Fast Mobility Particle Spectrometer

Required R packages:

install.packages(readxl)
install.packages(openair)
install.packages(tidyverse)
install.packages(xts)
install.packages(forecast)

library(readxl)
library(openair)
library(tidyverse)
library(xts)
library(forecast)

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# Objective: Read TSI WCPC and FMPS data, modify files to account for lag time and time series alignement, and change FMPS signal according to Zimmerman et al. (2015) paper (https://wwww.sciencedirect.com/science/article/pii/S1352231014008516)


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Language:R 100.0%