Research Specialties.....
Instrumentation....
Instrumentation deals with the broad topic of sensors that measure the properties of the atmosphere. In our particular case, we are focused on the lower boundary layer of the atmosphere and the underlying surfaces, both vegetation and soils. State variables, like temperature and pressure, and process-related variables, like temperature gradient or vapor pressure gradient, are of interest. The challenge in instrumentation is to determine the what, how, when, and where related to measuring the state or change rate of the environment. We need to know what variables are important to the process; thus it is important for those specializing in instrumentation to also have a broad background in micrometeorology and other courses that deal with the processes of interest. How we take the measurement will determine whether the accuracy and representativeness of the measurements are appropriate for the study under contemplation. When to take the measurement is important and brings up the topic of sampling frequency. Unlike scientists of the past, we are not limited by the technology in regard to sampling frequency. Our only limit seems to be our own imagination. Where to take the measurements is also critical. Should the measurements be taken in agricultural fields or over nearby reference sites? What differences will arise in these two instances?
The analysis of measurements may follow a modeling approach or a statistical approach. It is important to understand these two approaches so that sufficient measurements are taken to support research in either case. Calibration, maintenance, communication of data, and quality control are also important to instrumentation.
A sensor cannot take measurements without disturbing the environment in which it is placed. One of our recent efforts has been to look at the microclimate of the temperature sensor housings, often called shelters, used to keep the radiation off the sensors. In order to take away any uncertainties in global change that may have arisen due to changes in sensor technology, we are working on sensor transform functions that can be used to remove heterogeneities from our historical networks.
| Participating Faculty... |
| Ken G. Hubbard |
| Andy E. Suyker |
| Xiaomao Lin |
| Shashi B. Verma |
