Articles | Volume 7, issue 2
https://doi.org/10.5194/os-7-231-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-7-231-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison of the fall rate and structure of recent T-7 XBT manufactured by Sippican and TSK
S. Kizu
Physical Oceanography Laboratory, Department of Geophysics, Graduate School of Science, Tohoku University, 6-3 Aza Aoba, Aramaki, Aoba-ku, Sendai 980-8578, Japan
C. Sukigara
Physical Oceanography Laboratory, Department of Geophysics, Graduate School of Science, Tohoku University, 6-3 Aza Aoba, Aramaki, Aoba-ku, Sendai 980-8578, Japan
now at: Laboratory of Satellite Biological Oceanography, Hydrospheric Atmospheric, Research Center, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
K. Hanawa
Physical Oceanography Laboratory, Department of Geophysics, Graduate School of Science, Tohoku University, 6-3 Aza Aoba, Aramaki, Aoba-ku, Sendai 980-8578, Japan
Viewed
Total article views: 3,764 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 27 Oct 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,376 | 2,204 | 184 | 3,764 | 156 | 121 |
- HTML: 1,376
- PDF: 2,204
- XML: 184
- Total: 3,764
- BibTeX: 156
- EndNote: 121
Total article views: 2,859 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 07 Apr 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,082 | 1,623 | 154 | 2,859 | 143 | 112 |
- HTML: 1,082
- PDF: 1,623
- XML: 154
- Total: 2,859
- BibTeX: 143
- EndNote: 112
Total article views: 905 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 27 Oct 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
294 | 581 | 30 | 905 | 13 | 9 |
- HTML: 294
- PDF: 581
- XML: 30
- Total: 905
- BibTeX: 13
- EndNote: 9
Cited
17 citations as recorded by crossref.
- Exposing XBT bias in the Atlantic sector of the Southern Ocean K. Hutchinson et al. 10.1016/j.dsr.2013.06.001
- Correction of Depth Bias in Upper-Ocean Temperature and Salinity Profiling Measurements from Airborne Expendable Probes D. Alappattu & Q. Wang 10.1175/JTECH-D-14-00114.1
- XBT Science: Assessment of Instrumental Biases and Errors L. Cheng et al. 10.1175/BAMS-D-15-00031.1
- 3D Numerical Simulation of Expendable Bathythermograph Probe Dropping W. Lv et al. 10.1088/1757-899X/744/1/012037
- A computational method for determining XBT depths J. Stark et al. 10.5194/os-7-733-2011
- Empirical Correction of XBT Data M. Hamon et al. 10.1175/JTECH-D-11-00129.1
- International Quality-Controlled Ocean Database (IQuOD) v0.1: The Temperature Uncertainty Specification R. Cowley et al. 10.3389/fmars.2021.689695
- Time, Probe Type, and Temperature Variable Bias Corrections to Historical Expendable Bathythermograph Observations L. Cheng et al. 10.1175/JTECH-D-13-00197.1
- An Algorithm for Classifying Unknown Expendable Bathythermograph (XBT) Instruments Based on Existing Metadata M. Palmer et al. 10.1175/JTECH-D-17-0129.1
- The Impact of Improved Thermistor Calibration on the Expendable Bathythermograph Profile Data M. Goes et al. 10.1175/JTECH-D-17-0024.1
- Early Dynamics of Deep Blue XBT Probes F. Bringas & G. Goni 10.1175/JTECH-D-15-0048.1
- Biases in Expendable Bathythermograph Data: A New View Based on Historical Side-by-Side Comparisons R. Cowley et al. 10.1175/JTECH-D-12-00127.1
- The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements C. Cabanes et al. 10.5194/os-9-1-2013
- Assessment of Quality and Reliability of Measurements with XBT Sippican T5 and T5/20 F. Reseghetti et al. 10.1175/JTECH-D-18-0043.1
- Using Neural Networks to Correct Historical Climate Observations T. Leahy et al. 10.1175/JTECH-D-18-0012.1
- Turbulent and Transitional Modeling of Drag on Oceanographic Measurement Devices J. Abraham et al. 10.1155/2012/567864
- Using GEBCO digital bathymetry to infer depth biases in the XBT data V. Gouretski 10.1016/j.dsr.2011.12.012
15 citations as recorded by crossref.
- Exposing XBT bias in the Atlantic sector of the Southern Ocean K. Hutchinson et al. 10.1016/j.dsr.2013.06.001
- Correction of Depth Bias in Upper-Ocean Temperature and Salinity Profiling Measurements from Airborne Expendable Probes D. Alappattu & Q. Wang 10.1175/JTECH-D-14-00114.1
- XBT Science: Assessment of Instrumental Biases and Errors L. Cheng et al. 10.1175/BAMS-D-15-00031.1
- 3D Numerical Simulation of Expendable Bathythermograph Probe Dropping W. Lv et al. 10.1088/1757-899X/744/1/012037
- A computational method for determining XBT depths J. Stark et al. 10.5194/os-7-733-2011
- Empirical Correction of XBT Data M. Hamon et al. 10.1175/JTECH-D-11-00129.1
- International Quality-Controlled Ocean Database (IQuOD) v0.1: The Temperature Uncertainty Specification R. Cowley et al. 10.3389/fmars.2021.689695
- Time, Probe Type, and Temperature Variable Bias Corrections to Historical Expendable Bathythermograph Observations L. Cheng et al. 10.1175/JTECH-D-13-00197.1
- An Algorithm for Classifying Unknown Expendable Bathythermograph (XBT) Instruments Based on Existing Metadata M. Palmer et al. 10.1175/JTECH-D-17-0129.1
- The Impact of Improved Thermistor Calibration on the Expendable Bathythermograph Profile Data M. Goes et al. 10.1175/JTECH-D-17-0024.1
- Early Dynamics of Deep Blue XBT Probes F. Bringas & G. Goni 10.1175/JTECH-D-15-0048.1
- Biases in Expendable Bathythermograph Data: A New View Based on Historical Side-by-Side Comparisons R. Cowley et al. 10.1175/JTECH-D-12-00127.1
- The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements C. Cabanes et al. 10.5194/os-9-1-2013
- Assessment of Quality and Reliability of Measurements with XBT Sippican T5 and T5/20 F. Reseghetti et al. 10.1175/JTECH-D-18-0043.1
- Using Neural Networks to Correct Historical Climate Observations T. Leahy et al. 10.1175/JTECH-D-18-0012.1
Saved (final revised paper)
Latest update: 23 Nov 2024