Dear Critical Zone and Data Science Community,
As you prepare abstracts for the upcoming Geological Society of America (GSA) online annual meeting 2020, please consider submitting to Session T225: From Pattern to Process and Back: Data Driven Insights in Critical Zone Sciences. We hope to bring together an interdisciplinary group of scientists, working to understand the process of the critical zone, using a combination of observational data and novel computational tools. The complete session description is copied below.
We hope you can join us online this October. Abstracts are due August 4!
Hang Wen and Julia Perdrial
T225. From Pattern to Process and Back: Data Driven Insights in Critical Zone (CZ) Sciences
The CZ, the zone of life that spans from the top of the tree canopy to the actively cycled groundwater, is studied in highly interdisciplinary and collaborative settings that generate large quantities of data on CZ inputs, composition and exports. Over recent decades, investigations at CZ observatories (CZOs) and long-term-monitoring observatories (LTMOs) have generated increasing variety, volume and velocity of data, facilitated in part by the application of new sensor technologies. These “Big Data” sets on the CZ enable us to identify patterns in CZ dynamics, including coupled and nonlinear hydrologic, geomorphic, and biogeochemical processes, and CZ responses to external forcing, including climate change and anthropogenic stressors. We invite contributions that i) investigate current challenges in environmental and geoscience (e.g. declining water quality, changes to elemental cycling or ecosystem response to disturbances) using a data driven approach, ii) apply novel analysis tools to accommodate data of mixed densities across spatial and temporal scales, and /or iii) combine data driven approaches with process-based, experimental and field observational insights.