IASOAInternational Arctic Systems for Observing the Atmosphere
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Importantly, all of the IASOA working groups are investigator-driven, so each takes on a unique flavor and focus as the groups self-assign objectives.
The design of "Data-at-a-Glance," automatically populated with harvested metadata, is readily maintained and directly supports the IASOA vision for pan-Arctic research synthesis.
1) The IASOA measurement vocabulary was aggregated from existing atmospheric science vocabularies (e.
Count of datasets currently available through IASOA data access portal by category and observatory.
Aside from the variety of governance models and observing assets, the observatories also represent a vast diversity of Arctic subregions with different climatologies, geographies, and biomes so that each IASOA observatory effectively gathers information on a unique Arctic regional system subtype.
At the inaugural meeting of the IASOA science committee in 2012, discovery and access to data were identified as essential.
To further capitalize on new measurement infrastructure developed during the IPY and an increasingly functional data portal, IASOA began accelerating the collaborative research process (Wulf 1993) by initiating a number of thematic working groups in 2013 (Table 3).
Seven IASOA observatories (Alert, Barrow, Pallas, Summit, Tiksi, Station Nord, and Ny-Alesund) monitor aerosol optical properties including concentrations of absorbing equivalent black carbon (EBC; Petzold et al.
NASA's AERONET program operates sun photometers at several Arctic stations including four IASOA stations (Ny-Alesund, Barrow, Alert, and Tiksi).
Five of the IASOA observatories (Barrow, Alert, Eureka, Ny-Alesund, and Tiksi) are World Meteorological Organization (WMO) BSRN sites, with Summit being a candidate site.
2015), the IASOA Radiation Working Group has begun developing a pan-Arctic radiation climatology.
Although an IASOA Cloud Working Group is being developed, it is clear that there will be areas of overlap between working groups with opportunities to integrate experts on key topics; for example, the Radiation Working Group has begun examining cloud representation in models (Fig.