EOL Seminar: From flux measurements to information: A brief journey over land, air and space

Friday, June 16, 2017 - 12:30
FL2-1001 Small Seminar Room
Contact Name: 
Holger Voemel
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From flux measurements to information: A brief journey over land, air and space
Dr. Stefan Metzger - NEON

Owing to sophisticated developments in theory and technology, measurements of the earth’s surface and atmosphere become available at unprecedented coverage and resolution. For example, eddy-covariance provides one of the most direct methods to quantify the cycling of energy, water and greenhouse gases at the surface-atmosphere interface. Its use in aircraft applications, in addition to tower flux networks such as AmeriFlux and NEON, enables insights into atmospheric, ecosystem, geologic and anthropogenic processes. Nevertheless, de-convolving observational co-variations in space and time presents a major challenge to unraveling and quantifying processes for improved representation in numerical models.

Theoretically, combining e.g. flux and remote-sensing data with ancillary information should enhance our understanding of spatio-temporal patterns. Practically, however, extracting joint information among measurements can become challenging due to differing theoretical assumptions and technology. The situation is further exacerbated when working across traditional disciplinary boundaries, such as e.g. in-situ and remote sensing techniques. To the detriment of data use efficiency and accuracy, solutions to match the differing perspectives are often specific and quickly become elaborate and unwieldy. This results not only in their frequent neglect, but also in corresponding biases that can contribute to scientific conundrums such as an unclosed surface energy balance from in-situ measurements.
This seminar examines pathways to overcome current restrictions and transform measurements into accurate information for numerical models, natural resource management and societal decisions. Initially, measurement strategies that reduce observational biases in boundary-layer meteorology are presented. This is followed by data-mining approaches that objectively extract process information from compounded and joint measurements. Ultimately, the integrated development of hardware, software and experiment strategies based on scientific requirements is proposed. Example applications include unveiling the long-tailed distributions of atmospheric and surface fields underlying measurements, and the quantification and geolocation of methane emissions from the oil and gas industry.

Seminar will be webcast at  http://www.fin.ucar.edu/it/mms/fl-live.htm

Tuesday June 20, 2017 11:00am

3450 Mitchell Lane, Boulder

FL2-1001 Small Seminar Room