@misc{merckelbach_a_dynamic_2019, 
author={Merckelbach, L., Berger, A., Krahmann, G., Dengler, M., Carpenter, J.R.},
title={A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements},
year={2019},
howpublished = {journal article},
doi = {https://doi.org/10.1175/JTECH-D-18-0168.1},
abstract = {The turbulent dissipation rate ɛ is a key parameter to many oceanographic processes. Recently gliders have been increasingly used as a carrier for microstructure sensors. Compared to conventional ship-based methods, glider-based microstructure observations allow for long duration measurements under adverse weather conditions, and at lower costs. The incident water velocity U is an input parameter for the calculation of the dissipation rate. Since U can not be measured using the standard glider sensor setup, the parameter is normally computed from a steady-state glider flight model. As ɛ scales with U2 or U4, depending whether it is computed from temperature or shear microstructure, flight model errors can introduce a significant bias. This study is the first to use measurements of in-situ glider flight, obtained with a profiling Doppler velocity log and an electromagnetic current meter, to test and calibrate a flight model, extended to include inertial terms. Compared to a previously suggested flight model, the calibrated model removes a bias of approximately 1 cm s−1 in the incident water velocity, which translates to roughly a factor of 1.2 in estimates of the dissipation rate. The results further indicate that 90% of the estimates of the dissipation rate from the calibrated model are within a factor of 1.1 and 1.2 for measurements derived from microstructure temperature sensors and shear probes, respectively. We further outline the range of applicability of the flight model.},
note = {Online available at: \url{https://doi.org/10.1175/JTECH-D-18-0168.1} (DOI). Merckelbach, L.; Berger, A.; Krahmann, G.; Dengler, M.; Carpenter, J.: A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements. Journal of Atmospheric and Oceanic Technology. 2019. vol. 36, no. 2, 281-296. DOI: 10.1175/JTECH-D-18-0168.1}}