Spatio-temporal prediction of level 3 data for NASA's earth observing system

Authors

J Gabrosek, Grand Valley State University
Noel A. Cressie, University of WollongongFollow
Hsincheng Huang, Institute Of Statistical Science, Academia Sinica, Nankang

RIS ID

73189

Publication Details

Gabrosek, J., Cressie, N. A. & Huang, H. (1999). Spatio-temporal prediction of level 3 data for NASA's earth observing system. In K. Lowell & A. Jaton (Eds.), 3rd International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (pp. 331-337). United States: Ann Arbor Press, Inc.

Abstract

The first Earth Observing System (EOS) satellites was launched in 1998 and generated massive amounts of atmospheric data in both space and time. We explore the statistical issues relating to (optimal) processing of the resulting Level 2 data. We consider an approach to constructing Level 3 data products from Level 2 data that uses the spatio-temporal dependence of the data. We discuss the impact of global-grid-system choice and of spatial resolution on the error characteristics of the Level 3 data product. Data from the Total Ozone Mapping Spectromoter (TOMS) will be used for illustration.