EAGER: Collaborative Analysis of Doppler Lidar Data from Canopy Horizontal Array Turbulence Study (CHATS) Collaborative Analysis of Doppler Lidar Data from CHATS The purpose of this EAGER is to explore and apply novel retrieval techniques for coherent structures from Doppler lidar data. The chosen dataset was obtained by the ASU Doppler lidar group during the Canopy Horizontal Array Turbulence Study (CHATS) of 2007. A long-standing challenge in Doppler lidar analysis is achieving costeffective and accurate resolution of inherent indeterminacy in measured radial velocity fields. Theoretically compelling approaches, such as four-dimensional variational data assimilation (4DVAR), have been developed and applied to Doppler lidar data (see Lin et al. 2008, Xia et al. 2008, and Newsom et al. 2005). Such methods introduce flow dynamics constraints, through Large-Eddy Simulation (LES) formulations, to close the indeterminacy. Due to their complexity and computational expense, ample motivation remains for more approximate and computationally less-expensive solutions. The method to be explored and applied to the CHATS data is the use of pre-existing theoretical models of expected coherent structures, such as roll vortices, as a framework in which the radial velocity can be interpreted. Collaboration with Dr. Ned Patton is proposed for the summer of 2012, and the PI has received notice of a Summer Fellow award from NCARs Advanced Study Program to offset travel and housing costs. Consequently, the budget request of this proposal was reduced accordingly.
|Effective start/end date||3/15/12 → 2/28/14|
- National Science Foundation (NSF): $31,501.00
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