Upcoming Event

Workshop on the Future of Boundary Layer Observing

October 24, 2017 - October 26, 2017
See on google maps

Airlie House
6809 Airlie Road Warrenton Virginia 20187

NOTE: Remote participation is available via WebEx and teleconference. Please see page 6 of the agenda for details.

Planning Committee:

SHUYI S. CHEN (Chair), University of Washington
THOMAS M. BAER, Stanford University
JOHN J. CASSANO, University of Colorado Boulder
JEANNINE CAVENDER-BARES, University of Minnesota
RUBEN DELGADO, University of Maryland Baltimore County
JAMES B. EDSON, University of Connecticut
PATRICK HEIMBACH, University of Texas at Austin
PETRA KLEIN, University of Oklahoma
JIELUN SUN, National Center for Atmospheric Research
JOAO TEIXEIRA, Jet Propulsion Laboratory

Overarching Science Question: What observations are needed (over land, ocean, and ice) to make meaningful progress in our understanding and modeling of the global atmospheric boundary layer?

Workshop Goals:

  • 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;
  • Discuss key observing and modeling gaps and the science that could be accomplished by filling those gaps;
  • 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;
  • 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;
  • Discuss strategies for technology development to reduce cost and improve data quality; and
  • Discuss ways to foster communication between user and technology development communities to develop increased collaboration opportunities that could help rapidly advance the science.