| 2010 Fall Meeting Search Results |
Cite abstracts as Author(s) (2010), Title, Abstract xxxxx-xxxx presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13-17 Dec. |
EM: irbisg@miners.utep.edu AF: Environmental Science and Eng., The University of Texas at El Paso, El Paso, TX, USA AU: Gates, A Q EM: agates@utep.edu AF: Environmental Science and Eng., The University of Texas at El Paso, El Paso, TX, USA AU: Tweedie, C EM: ctweedie@utep.edu AF: Systems Ecology Lab, The University of Texas at El Paso, El Paso, TX, USA AB: Eddy covariance (EC) methods are used to measure the exchanges of mass and energy across the atmospheric boundary layer. EC is the basis of several large national and international flux networks of micrometeorological tower sites (i.e. FLUXNET, AMERIFLUX), that provide continuous observations and measurements to understand and quantify the spatial and temporal variations in carbon storage in plants, soils, and the exchanges of carbon dioxide, water vapor, and energy, in major vegetation types across a range of disturbance historic and climatic conditions. A consistent quality assurance and quality control (QA/QC) procedure of micrometeorological data is essential for measurement networks such as these. Although, a QA/QC procedure is very much a site-specific activity, there are a variety of components available to implement Eddy covariance methods, as well as, limited documentation about best practices or standards, results in different approaches being adopted throughout data capturing sites. In some cases, this can lead to a limited or inefficient data reusability and knowledge transfer among related projects. The amount of data being collected is rapidly increasing, and the ability to evaluate proper instrument operation and data accuracy is critical to ensure the results are not bias due to factors such as, instrument malfunction, erroneous definition of optimal measurement ranges, calibration errors and differences, and environmental conditions that can affect data quality (i.e. wind directions are not from the footprint of interest, heavy precipitation, dust/snow storms, etc). This study presents findings from Cyberinfrastructure research conducted on a data stream from a newly established Eddy Covariance Tower, located on the Jornada basin Experimental Range (JER), Las Cruces, NM. Specifically, property characterization and specification was developed under a series of laboratory and field experiments. Our intent was to characterize thresholds and range limitations on ecological instrumentation output that affect data uncertainty. The objective was to parameterize and capture scientific knowledge necessary to typify data quality associated with eddy covariance methods. The process was documented by developing workflow driven ontologies, which can be used to disseminate how the Eddy Covariance Data is being captured and processed at JER, and also to automate the capture of provenance meta-data. Ultimately, we hope to develop scalable Eddy Covariance data capturing systems that offer additional information about how the data was captured, which hopefully will result in data sets with a higher degree of re-usability. DE: [0434] BIOGEOSCIENCES / Data sets DE: [1631] GLOBAL CHANGE / Land/atmosphere interactions DE: [1908] INFORMATICS / Cyberinfrastructure DE: [1958] INFORMATICS / Ontologies SC: Earth and Space Science Informatics (IN) MN: 2010 Fall Meeting
SS: IN23B |