Data for: Application of a Simple Variance Maximization Technique to MOPITT CO Column Data, and Resulting Improved Representation of Biomass Burning and Urban Air Pollution Sources

Published: 25-02-2020| Version 1 | DOI: 10.17632/76tcp84j87.1
Contributors:
Chuyong Lin,
Jason Cohen,
Shuo Wang,
Ruoyu Lan

Description

These 10 attached datasets are what underly the data in the paper "Lin C., Cohen J.B., Wang S., and Lan R. (2020) "Application of a Combined Standard Deviation and Mean Based Approach to MOPITT CO Column Data, and Resulting Improved Representation of Biomass Burning and Urban Air Pollution Sources." Submitted to Remote Sensing of Environment. In specific the data represent: dataset1.mat: Map of classifications (2000-2016) dataset2.mat: Map of classifications (2000-2009) dataset3.mat: Map of classifications (2010-2016) dataset4.mat: Weekly averaged CO Total Column dataset5.mat: Climatological Mean of #4 dataset6.mat: Climatological Normalized Standard Deviation of #4 dataset7.mat: Weekly averaged AERONET AOD at 12 stations dataset8.mat: MOPITT CO mean time series over the Yangtze River Delta region dataset9.mat: MOPITT CO mean time series over the Upper, Lower, and Downwind Biomass Burning regions dataset10.mat: MOPITT CO mean and standard deviation over the Chengdu Basin fig_16.mat: EOF1 and the linear combination of EOF2 and EOF3 finn_year_2000_2018.mat: FINN CO emissions year by year