We are working with other CZOs to develop cross-CZO capabilities for sharing, integrating, analyzing, and preserving CZO data.
CZO datasets are a powerful resource for developing and testing Earth system models. CZOs produce a large volume of data from a wide range of physical, chemical, and biological disciplines as well as spatial and temporal scales. This "flood" of disparate observational data partly reflects a new generation of integrated measurements. For example, most CZOs are using LIDAR imagery, copious isotopic samples, and low-cost sensors; others are also using eddy correlation and embedded sensor networks.
The Santa Catalina Mountains and Jemez River Basin CZO is collecting data from two field areas:
Our efforts thus far have concentrated on:
The Santa Catalina Mountains and Jemez River Basin CZO is collaborating with the Valles Caldera National Preserve Research Group to share whide area data, including meteorological, water quality, vegetation and spatial data.
News Category: Data
08 Jul 2019 - CZO will end Nov 2020, succeeded by the “CZ Collaborative Network”. Let’s explore how the CZ community can build upon the CZOs via new NSF proposals.
15 Jun 2016 - In 2014, students of a CyVerse (then iPlant Collaborative) course called Applied Concepts in Cyberinfrastructure, taught at the University of...
30 Oct 2017 - Water Resources Research published a new special collection in September 2017 featuring concentration-discharge research from multiple CZOs.
04 Dec 2015 - Taking the Pulse of the Earth's Surface Systems In September of 2014, Laurel Larsen (UC Berkley), Elizabeth Hajek (Penn State), and others...
03 Nov 2014 - The US CZO National Office has organized a webinar on December 8, 2014 at 11AM - 12:30 PM ET.
24 Apr 2014 - Information for the 2014 All Hands Meeting for the CZO Network on 21-14 September, including registration information and abstract submission.
06 Mar 2014 - Presentations describing the Integrated CZO Data system and how to use it; for interested CZO investigators, students & staff.
Discipline Tag: Data Management / Cyberinfrastructure