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Briefing for U.S. Senate Staff

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Long time period (25-50 years) analyzed with a fixed assimilation scheme and model ... Mainly modern period extensions. Recover data from historical time periods ... – PowerPoint PPT presentation

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Title: Briefing for U.S. Senate Staff


1
Data Archives for Atmospheric Research
  • Briefing for U.S. Senate Staff
  • Steven Worley, CISL/NCAR

2
Outline
  • Research Data Archive, definition and metrics
  • A few samples
  • Stewardship activities
  • What we do
  • What we dont do

3
Research Data Archive (RDA) definition
  • Collection of reference datasets used in
    atmospheric and related sciences
  • Over 600 datasets
  • 10-20 new datasets added annually
  • First established about 40 years ago
  • Basic metrics
  • 548K files
  • 100.5 TB
  • 2-3K unique users annually

4
What types of data?
  • Conventional Observations, global
  • Land surface and upper air soundings
  • Marine surface, upper air sounding, and
    subsurface profiles

5
What types of data?
  • Operational Atmospheric Analyses, global
  • NWP from U.S. and Europe
  • Research Atmospheric Reanalyses, global
  • Like NWP work, but much better for climate
    studies
  • More and varied data with better QC
  • Long time period (25-50 years) analyzed with a
    fixed assimilation scheme and model
  • Focused analyses single data types

6
Content additions
  • 70 collections updated annually
  • Some weekly
  • Mainly modern period extensions
  • Recover data from historical time periods
  • Data exchanges in U.S. and internationally
  • Rescue data from old magnetic media
  • Promote and collaborate in digitization efforts

7
Land Surface Data
1900
1925
1950
1975
  • poor global prior to 1950
  • 1950, low China, Canada, S. America
  • -300 for 1975 to 2000
  • Russia
  • Australia

2000
8
Upper Air Data
1960
1950
1970
1980
1990
1998
9
Marine Surface Data
ICOADS, One day observation distribution January
15 of the year shown
1960
1970
1990
1980
10
Stewardship - What we do
  • Collect, archive, and document the data
  • Organize the data for research
  • E.g. synoptically sort
  • Correct systematic errors
  • Fix station position and elevations
  • Hydrostatic check profiles, fix ordering
  • Broad climatic range checks, label grossly
    erroneous data
  • Collaborate with sister organizations to improve
    archives
  • U.S., NOAA (NCEP, NCDC, NODC), NASA (GSFC,JPL),
    plus others
  • International ECMWF, JMA, MPI, CMA, RIHMI, plus
    others

My worst nightmare, International restriction on
data distribution Have WMO Res. 40 Always being
challenged - countries want big for data
11
Stewardship - What we dont do
  • Adjust data for observing system changes
  • Instruments vary in type, distribution, and
    accuracy
  • Measurement homogenizing is a science and
    statistical problem
  • Analyze irregularly space observation onto grids
  • E.g. create a latitude/longitude grid of SST
  • Target space and time scales dictate appropriate
    methods
  • Blend satellite data with observations
  • Increase global temporal and spatial coverage
    since 1979
  • Bias adjust satellite data for
  • Atmospheric aerosols, water vapor, volcanic dust,
    etc
  • Big and complex problems - leave to world experts

However, we do collect and offer these
specialized data products to the community
12
  • Conclusion
  • Building research data archives is critical for
    documenting and understanding the climate. Our
    historical data records can be greatly improved.
    We intend to stay on course to meet this
    challenge.
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