Study in Progress

The Future of Boundary Layer Observing: A Workshop


Workshop on the Future of Boundary Layer Observing - 10/24/17

Statement of Task

Improved observations of the atmospheric boundary layer and its interactions with the ocean, land, and ice surfaces have great potential to advance science on a number of fronts, from improving forecasts of severe storms and air quality to constraining estimates of trace gas emissions and transport. At the same time, new observing technologies and approaches have the potential to radically increase the density of observations and allow new types of variables to be measured.

An ad hoc committee will plan a workshop to bring together experts for discussions on the future of observing and modeling the boundary layer, including consideration of mature or new in situ and ground-based, airborne and satellite remote sensing technologies and cutting edge innovations that could be particularly useful in advancing our understanding. Workshop attendees will be asked to:
(1) examine our understanding of atmospheric boundary layer processes and interactions with land, ocean, and ice surfaces and science drivers, from observation, modeling, and data assimilation perspectives;
(2) discuss key observing and modeling gaps and the science that could be accomplished by filling those gaps;
(3) consider how new observing capabilities (including targeted field campaigns) can leverage the existing surface and boundary layer observational networks and where advances in satellite remote sensing could be most beneficial;
(4) consider frontiers in technology, innovation, and partnerships (e.g., optics and photonics sensor development) that would expand current capabilities (e.g., ground-based lidar and microwave radiometer profiles) and build on existing networks;
(5) discuss strategies for technology development to reduce cost and improve data quality; and
(6) discuss ways to foster communication between user and technology development communities to develop increased collaboration opportunities that could help rapidly advance the science.