Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements
by
Krahmann, Gerd
, Carpenter, Jeffrey R.
, Merckelbach, Lucas
, Dengler, Marcus
, Berger, Anja
in
Bias
/ Calibration
/ Computation
/ Data collection
/ Dissipation factor
/ Doppler sonar
/ Flight
/ Gliders
/ Mathematical models
/ Microstructure
/ Oceanographic processes
/ Process parameters
/ Sensors
/ Shear
/ Temperature
/ Temperature sensors
/ Turbulence
/ Velocity
/ Water velocity
/ Weather
/ Weather conditions
2019
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements
by
Krahmann, Gerd
, Carpenter, Jeffrey R.
, Merckelbach, Lucas
, Dengler, Marcus
, Berger, Anja
in
Bias
/ Calibration
/ Computation
/ Data collection
/ Dissipation factor
/ Doppler sonar
/ Flight
/ Gliders
/ Mathematical models
/ Microstructure
/ Oceanographic processes
/ Process parameters
/ Sensors
/ Shear
/ Temperature
/ Temperature sensors
/ Turbulence
/ Velocity
/ Water velocity
/ Weather
/ Weather conditions
2019
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements
by
Krahmann, Gerd
, Carpenter, Jeffrey R.
, Merckelbach, Lucas
, Dengler, Marcus
, Berger, Anja
in
Bias
/ Calibration
/ Computation
/ Data collection
/ Dissipation factor
/ Doppler sonar
/ Flight
/ Gliders
/ Mathematical models
/ Microstructure
/ Oceanographic processes
/ Process parameters
/ Sensors
/ Shear
/ Temperature
/ Temperature sensors
/ Turbulence
/ Velocity
/ Water velocity
/ Weather
/ Weather conditions
2019
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements
Journal Article
A Dynamic Flight Model for Slocum Gliders and Implications for Turbulence Microstructure Measurements
2019
Request Book From Autostore
and Choose the Collection Method
Overview
The turbulent dissipation rate ε 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 cannot be measured using the standard glider sensor setup, the parameter is normally computed from a steady-state glider flight model. As ε scales with U2 or U4, depending on whether it is computed from temperature or shear microstructure, respectively, 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.
This website uses cookies to ensure you get the best experience on our website.