about boon

About BOON




sensor platforms

Shoreline Observations

Offshore Mooring and Buoy Observations

High Frequency Radar

Vessel Based Observations

Resident Platforms

Products + Tools

All Real Time Observations

Sea Surface Currents

Research Products

Resource Managers

Recreation and Coastal Conditions


Summary of Data Sets

Data Access

Data Disclaimer & Terms of Use

BOON research Projects > Climate Research

COast-to-Mountain Environmental Transect (COMET)
COast-to-Mountain Environmental Transect
The COMET Project (for COast-to-Mountain Environmental Transect) is funded by the NSF Cyberinfrastructure for Environmental Observatories: Prototype Systems to Address Cross-Cutting Needs (CEO:P) initiative. The project team includes UC Davis faculty, researchers, and students from computer science, atmospherics sciences, environmental sciences, oceanography, and remote sensing.

The goal of the project is to develop a cyberinfrastructure prototype to facilitate the study of the way in which multiple environmental factors, including climate variability, affect major ecosystems along an elevation gradient from coastal California to the summit of the Sierra Nevada. An understanding of the coupling between the strength of the California upwelling system and terrestrial ecosystem carbon exchange is the central scientific question. Additional scientific goals are to better understand the way in which atmospheric dust is transported to Lake Tahoe and an examination of carbon flux in the coastal zone as moderated by upwelling processes. The geographic context is one in which there is a diversity of ecosystems that are believed to be sensitive to climatological changes.

The dispersion and complexity of the data needed to answer the scientific questions motivate the development of a state-of-the-art cyberinfrastructure to facilitate the scientific research. This cyberinfrastructure will be based around the integration of access to distributed and varied data collections and sensor data streams, semantic registration of data, models and analysis tools, semantically-aware data query mechanisms, and an orchestration system for advanced scientific workflows.