National Critical Zone Observatory Program (CZO)

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We study how the Critical Zone operates and evolves,
including predictions of its response to future
climate & land-use changes


Watch a short video introduction to CZO

The Critical Zone lies between rock and sky... where water, atmosphere, ecosystems, soils, and rock interact. It is essential to life on Earth, including food production and water quality.
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Critical Zone Observatories are environmental laboratories established to study the chemical, physical and biological processes that shape the Earth's surface. Little is known about how these processes are coupled and at what temporal and spatial scales. CZO research seeks to understand these couplings through monitoring and modeling at the watershed scale.

The National CZO Program is a community resource. It serves the international scientific community through research, infrastructure, data, and models. Please contact us if you are interested in conducting research at one or more of the CZOs.

RESEARCH

Supported by NSF - National Science Foundation, Geoscience Directorate, Earth Science Division.
Interdisciplinary - Hydrology, geology, soil science, biology, ecology, geochemistry, and more.
Developing predictive ability for how the Critical Zone will respond to projected climate and land-use changes.

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INFRASTRUCTURE

Six US observatories - Puerto Rico to California.
Community of researchers collaboratively working at same field sites.
Existing & new resources - Sensor & comm. networks, eddy towers, boreholes, gages & much more (some previously constructed by LTER, Forest Service, et al.)

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DATA

Diverse datasets across disciplines, spatial and temporal scales.
Large data volumes from in situ sensors, field instruments, remote sensing, and more.
Integrating data across observatories and prior programs for discovery and synthesis.

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MODELS

Coupled systems models that interconnect complex physical, chemical, & biological processes.
Watershed-scale simulations - Fluxes of energy, water, carbon, sediments, & other materials.
Multi-scale & multi-process models that include landscape and ecosystems.

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