Statistics – Methodology
Scientific paper
Jun 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29lmod1i&link_type=abstract
Geophysical Research Letters, Volume 29, Issue 12, pp. MOD1-1, CiteID 8006, DOI 10.1029/2001GL013206
Statistics
Methodology
64
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801), Global Change: Atmosphere (0315, 0325), Global Change: Remote Sensing, Atmospheric Composition And Structure: Instruments And Techniques
Scientific paper
With the launch of the MODIS sensor on the Terra spacecraft, new data sets of the global distribution and properties of aerosol are being retrieved, and need to be validated and analyzed. A system has been put in place to generate spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of the MODIS aerosol parameters over more than 100 validation sites spread around the globe. Corresponding statistics are also computed from temporal subsets of AERONET-derived aerosol data. The means and standard deviations of identical parameters from MODIS and AERONET are compared. Although, their means compare favorably, their standard deviations reveal some influence of surface effects on the MODIS aerosol retrievals over land, especially at low aerosol loading. The direction and rate of spatial variation from MODIS are used to study the spatial distribution of aerosols at various locations either individually or comparatively. This paper introduces the methodology for generating and analyzing the data sets used by the two MODIS aerosol validation papers in this issue.
Chu Allen D.
Holben Brent N.
Ichoku Charles
Kaufman Yoram J.
Mattoo Shana
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