세미나 연사 
임교선 교수님(경북대학교)
 세미나 장소 
과학관 553
 연도 
2018
 월 / 일 
10/12
 시간 
10:00

Title: Classified Cloud Types for More Effective Use of ARM  Observations in Model Evaluation


Abstract:

To take advantage of the wealth of measurements provided by Department of Energy
(DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility, some
context is needed to interpret these measurements statistically. This seminar will present
new data products that can aid in that interpretation. A cloud type data product has been
produced from cloud boundaries determined by vertically pointing radar and lidars.
Results will be shown from a long-term climatology showing seasonal and diurnal
variations. This product can be used as an index to identify how other measurements of
the atmospheric state (such as radiation, moisture, aerosol, etc) vary with cloud state.
This allows for statistical aggregation of observational data in order to better understand
atmospheric processes and relationships. Using indices of atmospheric state also
facilitates more useful comparisons with model output in order to gain understanding of
the conditions when models do well or need improvement. Second, a fair weather
shallow cumulus identification data product has been produced to automatically
determine time periods of interest to high-resolution modeling. This product merges
information from multiple instruments, and validates the results against manually
selected shallow cumulus time periods. This shallow cumulus product is one example of
how multiple ARM data sets can be used to give more targeted classification of
observations for specific science questions.

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