The conceptual model for Southern Sierra CZO involves understanding varaibles along three axes: i) elevation gradient, representing alo gradients in climate, regolith properties, soils, ecosystems, and associated processes, ii) spatial scales, and iii) temporal scales. We use a variety of numerical models, as reflected in pulications and the work plan.
The conceptual model is presented in four panels, illustrated at right, and accompanying text. The panels are: Conceptual model, Processes, Spatial scales and Temporal feedbacks.
The REHSSys panel is linked to a description of one numerical model we are using, the Regional Hydro-Ecologic Simulation System.
Refer to the Conceptual and Numerical models pages for details.
20 Dec 2016 - Lawrence Livermore and UC Merced researchers are tracking water through the critical zone using cutting-edge technology and new collection methods.
02 Sep 2016 - This is an excerpt of a press release originally published on 30 August 2016 by James Badham, covering a new peer-reviewed article published by...
22 Mar 2016 - As part of World Water Day, the White House is hosting a Water Summit today and released its Commitments to Action on Building a Sustainable...
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.
Conceptual model diagram
Southern Sierra elevation and climate gradient, with spatial scaling and temporal feedbacks
Conceptual model processes and implications
Drivers of critical zone development must be understood together to address science questions and understand implications
Regional Hydro-Ecologic Simulation System
A spatially distributed dynamic model of coupled eco-hydrologic processes.
Conceptual model—spatial scales
Variables important for spatial scaling of vegetation differences, water cycles and material fluxes
Feedbacks across time
Variables important for temporal feedbacks of vegetation differences, water cycles and material fluxes