87th AMS Annual Meeting

Wednesday, 17 January 2007
Analysis of historical ARM measurements to detect trends and assess typical behavior
Exhibit Hall C (Henry B. Gonzalez Convention Center)
Sean T. Moore, Mission Research & Technical Services, Santa Barbara, CA; and R. A. Peppler, K. E. Kehoe, and K. L. Sonntag
Poster PDF (178.8 kB)
The Department of Energy's Atmospheric Radiation Measurement (ARM) Program has amassed more than ten years of continuous data for instruments that measure radiation, aerosols, clouds and surface properties at sites around the world. These measurements can now be viewed in a long time series to detect trends and assess typical behavior. Furthermore, frequency distributions categorized by month or by season are useful to set valid data ranges specific to those time domains. These statistics can be used to improve upon the reporting of suspicious data and to improve methods of detecting instrument malfunction early. An effort is underway to develop software that will systematically analyze ARM b-level and c-level data from this 10-year record. The statistics and plots resulting from this analysis will be saved in an easily distributable format for use by the ARM Data Quality Office or other interested parties.

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