Proposal of a Protocol to Post-Process Micrometeorological Data
Imbuzeiro, Federal University of Višosa, firstname.lastname@example.org
Costa, Federal University of Višosa, MarcosHeil
Data collected at micrometeorological sites may have a variety of uses, from the micrometeorological characterization of an ecosystem to the improvement of numerical weather forecast models. The final release of micrometeorological data is strongly influenced by the post-processing of the raw data collected and, in a network of stations, they may differ considerably among them, because of different post-processing techniques used. As the network grows, the series get longer, and we move from datalogging to data streaming, there is an increased need of a standard, automatic procedure to post-process the data. To reduce differences and inconsistencies across sites, improve data quality and repeatability, and facilitate future re-processing, we propose a protocol to post-process data from a network of micrometeorological towers. The protocol defines six levels of increased data quality that should be achieved by all data involved: Level zero data is the raw data out the sensors; level one is the data after the application of the instrument calibration curves; level two data is processed to eliminate errors that are related to a single instrument, while level three data is processed to correct for errors that may be noticed only with the use of multiple sensors, like conservation of energy and vertical gradients; level four data is processed to gap fill the meteorological station data using simple interpolation procedures, to prepare a dataset ready for micrometeorological model driving; and level five is the data with the gaps filled by a mechanistic micrometeorological model, ready to improve weather forecast models.
Science Theme: LC (Land Use and Land Cover Change)