Response functions of the temperature and conductivity sensors of CTD profilers

Lazaryuk, A. Yu.

doi:10.1134/s0001437008060131

Cited by 3 publications

(6 citation statements)

References 3 publications

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“…Data correction algorithms are another factor affecting the authenticity of CTD data. Measurement results of individual sensors are always affected by environments and the method of measurement, such as thermal lag, effects of temperature measurement, temperature drift of pressure sensor [ 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 ], etc. These errors can be partly corrected via compensation algorithm [ 106 , 107 , 108 , 109 , 110 , 111 ].…”

Section: Commercially Available Ctd Sensorsmentioning

confidence: 99%

CTD Sensors for Ocean Investigation Including State of Art and Commercially Available

Xiao

Zhang

Liu

et al. 2023

Sensors

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Over 70% of the earth’s surface is covered by oceans; globally, oceans provides a huge source of wealth to humans. In the literature, several sensors have been developed to investigate oceans. Electrical conductivity temperature depth (CTD) sensors were used frequently and extensively. Long-term accurate CTD data is important for the study and utilization of oceans, e.g., for weather forecasting, ecological evolution, fishery, and shipping. Several kinds of CTD sensors based on electrics, optical, acoustic wave and radio waves have been developed. CTD sensors are often utilized by measuring electrical signals. The latest progress of CTD sensors will be presented in order of performance. The principles, structure, materials and properties of many CTD sensors were discussed in detail. The commercially available CTD sensors were involved and their respective performances were compared. Some possible development directions of CTD sensors for ocean investigation are proposed.

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Section: Commercially Available Ctd Sensorsmentioning

confidence: 99%

CTD Sensors for Ocean Investigation Including State of Art and Commercially Available

Xiao

Zhang

Liu

et al. 2023

Sensors

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show abstract

“…In the process of working with data from many years, the authors established that the problem of correcting CTD data is especially important for the proper construction of Ts regression curves. Dynamic errors of CTD measurements in shallow seas, as a rule, lead to incorrect construction of such regressions [28,29].…”

Section: Correction Of Ctd Datamentioning

confidence: 99%

“…As we know, the largest values of instrumental errors in CTD profiling data fall on their dynamic components, which significantly depend on the stratification of seawater, the inertia of the CTD profiler sensors, and the mode of its movement in the water column [28,33]. In many in-situ measurements, dynamic errors can exceed all other instrumental errors by dozens of times [27].…”

Section: Errors Of Ctd Measurementsmentioning

confidence: 99%

“…The XR-620 and XRX-620 profilers are equipped with an induction cell of conductivity and a fast-response platinum thermometer [25], which, when the device moves in the water column, is freely washed by the oncoming flow of seawater. In this case, the inertial coefficients depend on the profiling velocity v. With stationary motion of the device, v(t) = const, and laminar modes of flow around the sensors, these dependences have the form: τ E (v) ~v−1.5 and τ T (v) ~v−0.5 [28].…”

Section: Errors Of Ctd Measurementsmentioning

confidence: 99%

“…The authors took into account the possible limits of the variability of the inertial coefficients and all profiling was performed at the speed of 0.5 < v < 1.5 m/s. Under such conditions, the expected inertia of the XR-620 profiler thermometer does not exceed τ T (v) ≤ 0.2 s, and the time constant of the induction cell is minor, τ E (v) << τ T (v), and can be neglected [28].…”

Section: Errors Of Ctd Measurementsmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Seawater Hydrophysical Characteristics from Thermistor Strings and CTD Data in the Sea of Japan Shelf Zone

Yaroshchuk

Kosheleva

Lazaryuk

et al. 2023

JMSE

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The knowledge of salinity in a specific sea area with high accuracy is required to solve several acoustic and hydrophysical problems on the ocean shelf. Unlike temperature, which can be measured continuously for a long time, with, for example, thermistor strings (thermostrings), salinity values of required accuracy can be obtained only using CTD profiling. This is why methods of estimating salinity from temperature could be helpful. In this paper, the authors propose using the regression method for solving this type of problem and demonstrate the efficiency of this method using examples of temperature measurements from anchored thermostrings. For the correct construction of regressions, the authors analyzed the errors of CTD measurements and suggested a method for the dynamic correction of raw CTD data. From CTD profiling datasets of 12 years (2011–2022), after their dynamic correction, the authors obtained regression polynomial formulas for calculating salinity from temperature and studied data stability in space and time at the hydrophysical test site, located in the shelf zone of the Sea of Japan. The authors consider this method efficient and applicable in solving a variety of acoustic and hydrophysical problems.

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Analysis of glider motion effect on the performance of pumped CTD: Implications for vehicle operation and data processing

et al. 2023

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Response functions of the temperature and conductivity sensors of CTD profilers

Cited by 3 publications

References 3 publications

CTD Sensors for Ocean Investigation Including State of Art and Commercially Available

CTD Sensors for Ocean Investigation Including State of Art and Commercially Available

Estimation of Seawater Hydrophysical Characteristics from Thermistor Strings and CTD Data in the Sea of Japan Shelf Zone

Analysis of glider motion effect on the performance of pumped CTD: Implications for vehicle operation and data processing

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