HR: 1340h
AN: IN13B-1219 [Abstracts]
TI: Discovery and Access to ARM Data from Statistical Views of Measurement Results: A new View Into a Long-term Data Collection
AU: McCord, R A
EM: mccordra@ornl.gov
AF: Environmental Sciences Division,
Oak Ridge National Laboratory, M.S. 6407
P.O. Box 2008, Oak Ridge, TN 37831, United States
AU: * Palanisamy, G
EM: palanisamyg@ornl.gov
AF: Environmental Sciences Division,
Oak Ridge National Laboratory, M.S. 6407
P.O. Box 2008, Oak Ridge, TN 37831, United States
AU: Horwedel, B M
EM: horwedelbm@ornl.gov
AF: Environmental Sciences Division,
Oak Ridge National Laboratory, M.S. 6407
P.O. Box 2008, Oak Ridge, TN 37831, United States
AU: Kaiser, D P
EM: kaiserdp@ornl.gov
AF: Environmental Sciences Division,
Oak Ridge National Laboratory, M.S. 6407
P.O. Box 2008, Oak Ridge, TN 37831, United States
AB:
Atmospheric Radiation Measurement (ARM) Program has been establishing a climatic collection of observations
about radiative flux transfer and cloud formation over the past 10-14 years. This DOE sponsored program
provides climate modelers information to improve the parameterization of the models. The ARM Archive has
been providing data access and discovery through various user interfaces based on inventories of data
availability (from 3.3 million data files and 100's of measurement types). A new interface is
being developed so that users can discover and access data based on the observed results by viewing
hierarchical statistical summaries. The display of statistical views allows the users to include an overview of the
measured results in their decisions for the selection of long-term collection of ARM data. This approach provides
the various modeling communities with products that are easily accessible and display insights needed for
research on model parameterization and validation.
The prototype of statistical views currently consists of pre-computed products for nested time ranges (whole
period of record; annual; seasonal; and monthly - as appropriate). For each time range and measurement, a
variety of simple statistics are computed. Graphs of the statistical distribution of measurement (e.g., histograms)
are also linked to the statistical results. The graphs are available through a web based interface. Users select a
location and measurement and then drill down through times scales ranging from the full period of record to
individual months. While viewing the graphs displayed by the user interface, users will be able to extract the data
behind the statistical graphs, or the measurement data used for the statistics, or order the ARM data files.
DE: 1626 Global climate models (3337, 4928)
DE: 3309 Climatology (1616, 1620, 3305, 4215, 8408)
DE: 3310 Clouds and cloud feedbacks
DE: 3315 Data assimilation
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting