What kinds of data models can be developed to reduce the effort and risks involved in siting climate sensor towers?
In climate science, flux sensor towers involve many pieces of equipment including observation instruments, reference instruments, data loggers, power sources, and others. For researchers, determining the optimal placement of each item requires collecting and interpreting data from many sources. This process can be arduous and dangerous.
Climate research teams need to determine the optimal placement of sensor towers and related equipment, with attention paid to factors that could skew data such as exposure to decomposing biomass, eddy shadows, etc.
A wind rose is a graphical representation of the wind patterns for a geographical location. Decisions about instrument and tower siting can require periodic reevaluation in the face of "disturbances" such as wildfires, crop harvesting, and species migration. Data visualization coupled with UAV imagery can reduce effort in the evaluation of potential sites. In addition, data processing and interpretation can be enhanced by reference to visualized wind data. 
 Jonathan Thom
 Jonathan Dandois
 Gil Bohrer and Tim Morin
 NEON Program and Battelle