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The EDAM project: Mining atmospheric aerosol datasets
Author(s) -
Ramakrishnan Raghu,
Schauer James J.,
Chen Lei,
Huang Zheng,
Shafer Martin M.,
Gross Deborah S.,
Musicant David R.
Publication year - 2005
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20094
Subject(s) - aerosol , particle dynamics , environmental science , atmospheric composition , computer science , exploratory data analysis , atmospheric dynamics , meteorology , data science , data mining , geography , atmosphere (unit) , chemistry , computational chemistry , molecular dynamics
There is a great need to better understand the sources, dynamics, and compositions of atmospheric aerosols. The traditional approach for particle measurement, collecting bulk samples of particulates on filters, is not adequate for studying particle dynamics and real‐time correlations. This has led to the development of a new generation of real‐time instruments that provide continuous or semicontinuous streams of data about certain aerosol properties. However, these instruments have added a significant level of complexity to atmospheric aerosol data and dramatically increased the amounts of data to be collected, managed, and analyzed. Our ability to integrate the data from all of these new and complex instruments now lags far behind our data‐collection capabilities, and severely limits our ability to understand the data and act upon it in a timely manner. In this article, we present an overview of EDAM (Exploratory Data Analysis and Management), a joint project between researchers in Atmospheric Chemistry and Computer Science. Important objectives include environmental monitoring and data quality assurance, and real‐time data mining offers great potential. While atmospheric aerosol analysis is an important and challenging domain, our objective is to develop techniques that have broader applicability. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 759–787, 2005.