TY - GEN A1 - Rollenbeck, Rütger A1 - Trachte, Katja A1 - Bendix, Jörg T1 - A New Class of Quality Controls for Micrometeorological Data in Complex Tropical Environments T2 - Journal of Atmospheric and Oceanic Technology N2 - Quality control is a particularly demanding problem for micrometeorological studies in complex environments. With the transition to electronic sensing and storage of climate data in high temporal resolution, traditional approaches of homogenization are insufficient for addressing the small-scale variability and spatial heterogeneity of the data. This problem can be successfully addressed by introducing a new class of control procedures based on the physical and climatological relations between different climate variables. The new approach utilizes knowledge about the interdependency of air temperature, precipitation, radiation, relative air humidity, cloud cover, and visibility to develop empirical functions for determining the probability margins for the co-occurrence of specific conditions in tropical mountains and deserts. It can also be applied to other geographic settings by adjusting the parameters derived from the data itself. All procedures are integrated into a processing chain with feedback loops and combined with conventional logical and statistical checks, which enables it to detect small errors that normally pass unnoticed. The algorithms are also adapted to incorporate the short time steps of the original data to retain the potential for detailed process analyses. KW - Geographic location/entity KW - South America KW - Physical Meteorology and Climatology KW - Climate variability KW - Observational techniques and algorithms KW - Data processing KW - Data quality control KW - Quality assurance/control KW - Mathematical and statistical techniques KW - Error analysis Y1 - 2015 U6 - https://doi.org/10.1175/JTECH-D-15-0062.1 VL - 33 IS - 1 SP - 169 EP - 183 ER -