Property:DataSystemValueConsolidation
From Earth Science Information Partners (ESIP)
3
A
AIRNow serves to consolidate real-time data and forecasts from agencies across the country. The AIRNowTech systems also perform some integration by pulling in meteorological data, fire and smoke information, trajectory modeling, etc. +
C
D
Data consolidation from heterogeneous to homogeneous structure is performed on the fly for most datasets. Many historical datasets are cached at DataFed for fast data access and browsing. +
E
Sharing data planned with Emission Inventory System (EIS) to help reduce/prevent duplicate data. +
Not Given +
Metadata aggregator. Provide domain-specific context for data where metadata and other contextual information about earth science data is available to help understand how data are created and used. +
G
H
N
* Data format primarilyin HDF-EOS with integrated metadata.
* Metadata managed in PostGres POSTGIS open source database.
+
R
Yes. RSIG visualizes data together over a map. RSIG can regrid all surface data points onto the CMAQ grid (layer 1). RSIG does not regrid data (e.g., CALIPSO LIDAR) onto the CMAQ vertical grid layers due to unresolved difficulties with the vertical grid scheme used by CMAQ. +
U
Data from many different sources are available via the Unidata datastreams in real-time and can be analyzed in an integrated fashion via tools such as the Unidata Integrated Data Viewer +
V
VIEWS employs an advanced data acquisition and import system to integrate data from several air quality data centers into a single, highly-optimized data warehouse. Ground-based measurements from dozens of monitoring networks, air quality modeling results, and detailed emissions inventories are imported and updated on a regular basis using a generalized, uniform data model and carefully standardized metadata. Names, codes, units, and quality flags from the source datasets are carefully mapped to a unified standard, and native formats and organizations are transformed into a common, normalized database schema. This design enables users to explore, merge, and analyze datasets of widely-varying origin in a consistent, unified manner with a common set of tools and web services. This degree of interoperability allows decision-makers to analyze diverse datasets side-by-side and focus on high-level planning strategies without having to contend with the details of data management and manipulation. +
