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Earth Observation Systems: What Shall We Do with the Data we Are Expecting in 1998?
Pages 15-22

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From page 15...
... The sheer volume of data creates unprecedented challenges for accomplishing basic data handling operations, such as throughput and storage. But there are deeper issues regarding the scientific use of this huge amount of data.
From page 16...
... The binning process for large data sets usually entails taking the arithmetic mean en c! standard deviation of all Level 2 data points falling into a grid cell, with possible trimming of outTiers or of measurements flagged as "low quality" for other reasons.
From page 17...
... To form sub-grids at length scales below 140 km, decisions must be made as to whether the subdivisions will be equi-angular, which are unique and relatively easy to define, or equal area, which has more desirable sampling properties, but requires more complex cell boundaries that increase anisotropy. Performing analysis on data sets from non-nested grids introduces errors that may be significant on a global scale (Green and Wielicki, 1995b)
From page 18...
... 4.1 Sensitivity Studies From the point of view of retrieving aerosol properties from MISR observations, the distinctions worth reporting are determined by the sensitivity of the instrument. We use a theoretical model to simulate the measurements at the 4 wavelengths and 9 viewing angles covered by the MISR instrument.
From page 19...
... We plan to use in situ measurements where available, to improve the constraints placed by the global data sets. Again we are undecided as to how to weight the information from different data sources, and how to assign uncertainties.
From page 20...
... Acknowledgements ~ thank my colleagues on the EOS MISR Team for providing the context for this work. ~ also thank the participants in Massive Data Sets Workshop for their interest in our data-handling issues, and their patience with our naive approach to profound problems in statistics.
From page 21...
... tI0] Robert St.


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