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Toward an Integrated Arctic Observing Network (2006) / Chapter Skim
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2 Key Variables to Monitor in the Long Term
Pages 13-19

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From page 13...
... As illustration, assume that an observing station measures The Committee's intent with this list is to stimulate discussion. 500 variables including 10 that are "AON key variables." The Committee's deliberations on key variables revealed The data related to these variables could be reported in a that this approach is readily applied to physical variables but standardized way, undergo a quality control step, and then becomes harder in the biological and human dimensions contribute to a pan-arctic dataset that is served through a realms.
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From page 14...
... proxies to monitoring networks is that they provide historical context for the contemporary measurements and instrument Grouping by What Is Practical records. They also improve data products that arise from reanalysis efforts.
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From page 15...
... Examples include That is, they enable detection of fundamental variations in numbers of polar bears or extent of glacier retreat. the arctic system, help improve understanding of how the These kinds of variables might help with broad buy-in arctic system functions and changes, and can easily be to the value of the AON.
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From page 16...
... 16 TOWARD AN INTEGRATED ARCTIC OBSERVING NETWORK TABLE 2.1 The Arctic Observing Network's 31 Key Variables and Key Indicator Variables Critical and Major Gaps in Observations Variablea Examples of Why the Variable Is Important (spatial, temporal, or thematic) PHYSICAL VARIABLES Albedo · Influences global change (through changes in cloud, land, · Time sequences of fields of albedo, particularly in (K)
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From page 17...
... KEY VARIABLES TO MONITOR IN THE LONG TERM 17 TABLE 2.1 Continued Critical and Major Gaps in Observations Variablea Examples of Why the Variable Is Important (spatial, temporal, or thematic) Water vapor · Influences radiation budget (both up- and down-welling)
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From page 18...
... Column 3 gives examples of major and critical gaps in observations. Variables are arranged alphabetically followed by assignment to one of three clusters -- physical, biogeochemical, or human.
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From page 19...
... compilation of variables for which present observing net The table is divided into three clusters -- physical, bio- works are in widely different stages of evolution, the critical geochemical, and human dimensions. It became clear to the gaps vary from spatial or temporal details to thematic Committee that the "key variables" approach, although considerations.
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Key Terms

  • arctic data
  • arctic communities
  • human dimensions
  • traditional knowledge
  • human dimension

  • climate observing
  • arctic observations
  • data products
  • monitoring network
  • observing activities

  • variables identified
  • weather stations
  • variables including
  • monitoring activities
  • fundamental variations

  • human observers
  • improve understanding
  • critical gaps
  • help improve
  • identifying key

  • key variables


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