Comparison of CTD vs XBT data

Slides:



Advertisements
Similar presentations
Why does seawater in the Polar Regions become more dense as sea ice forms? and Why is this process called “Brine Rejection”
Advertisements

SIO 210: I. Observational methods and II. Data analysis (combined single lecture) Fall 2013 Remote sensing In situ T, S and tracers Velocity Observing.
Galapagos & ecuador coast Marine Data Collection Patricia Marti Puig.
Water column structure and zooplankton distribution along Trevor Channel, Barkley Sound Andrew Hamilton.
Interferometric Interpolation of 3D OBS Data Weiping Cao, University of Utah Oct
I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=
I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=
2-5 Mar, 2015IHC1 Sensitivity of Ocean Sampling for Coupled COAMPS-TC Prediction Sue Chen 1, James Cummings 2, Jerome Schmidt 1, Peter Black 2, Elizabeth.
ME 322: Instrumentation Lecture 23 March 13, 2015 Professor Miles Greiner Transient TC response, Modeling, Expected and observed behaviors, Lab 9, Plot.
GDC Data Processing Tui Malila Expedition, Leg 6 (TUIM06MV)  Dates: May 13, June 5, 2005 Chief Scientist: Robert Vrijenhoek Tui Malila Expedition,
Page 1 CONSULTANCY AND RESEARCH IN AQUACULTURE AND THE AQUATIC ENVIRONMENT A Company in the NIVA-group Methodology for Environmental monitoring of aquaculture.
Adjoint Sensitivity Stidues in the Philippine Archipelago Region –Julia Levin –Hernan Arango –Enrique Curchitser –Bin Zhang
Salinometer Thermosalinograph (TSG) CTD
Nature’s Density Column. Nature creates its own density column Example: The Bering Sea As you discovered in your experiment, when ice melts it forms a.
The hydrographic research during NABOS 2013 expedition Sergey Kirillov Andrey Pniushkov Ilona Goszczko Ekaterina Bloshkina John Guthrie and Igor Ashik.
8.1.4 Can it still be factored? Factoring Completely I can factor out a common factor.
Quality Control for the World Ocean Database GSOP Quality Control Workshop June 12, 2013.
JCOMM SOT-4 April 2007 XBT Data Acquisition System Intercomparison JCOMM/SOT-4 Scientific and Technical Session Derrick Snowden Gustavo Goni Molly Baringer.
Underway Salinity/Temperature and Moored Temperature Sterling A. Wheaten
Physical Oceanography Unit II. Physical Oceanography Physical oceanography is the study of the properties of seawater. There are 4 main topics: 1.Temperature.
ECOOP annual meeting Feb 13-14, Objectives & Description. Objectives: Collect meta data and historical data for temperature and salinity measurements.
Capacity of HRSST-2 buoys to measure SST with a high degree of accuracy Pierre Blouch E-SURFMAR Operational Service Manager.
CTD - Salinity and Temperature at Depth Jonathan Walter University of North Carolina at Wilmington CHM Jonathan Walter University of North Carolina.
1 NODC Quality Control : Automatic Checks - reveal systematic errors in incoming data and metadata - eliminate most non-representative data from consideration.
Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.
Adding Decibels. Speed of Sound in Water Depth Salinity Pressure Temperature Medium Effects: Elasticity and Density Salinity Pressure Temperature Variable.
Lab 5 Physical and Chemical Properties of Sea Water
XBT Fall Rate Equation – A Review Pankajakshan and Gopalkrishna, National Institute of Oceanography, Goa, India.
Presented By: Shaun Dolk PMO-5 Workshop July, 2015 Viña Del Mar, Chile Deployment of Oceanographic Instruments - Barometer Upgrade & VOS Donation.
Statistics 270– Lecture 26.
Deep Observing Network
TAIYO KOBAYASHI and Shinya Minato
Lecture Slides Elementary Statistics Twelfth Edition
Section 11.1 Day 3.
Projectile Motion October 4, 2016.
Bruce Cornuelle, Josh Willis, Dean Roemmich
THE TSURUMI SEIKI CO., LTD.
Spatial Modes of Salinity and Temperature Comparison with PDO index
XBT Data Acquisition System Intercomparison
Statistical Quality Control, 7th Edition by Douglas C. Montgomery.
Amanda Williams, Scott Glenn, Josh Kohut,
Simulation-Based Approach for Comparing Two Means
Using Measurement Scales to Build Marketing Effectiveness
Coordinate Plane Plotting Points
Projectile Motion.
The Importance of Reforecasts at CPC
presented by LCDR Allon Turek, USN 14 March 2008
OC3570 Cruise Project Presentation: Slocum Glider Study
Comparison of Different Sea Surface Temperature Measurements
CTD SVP’s Compared to GDEM
Operational Oceanography Cruise February 2003
Production Status 39 modules produced
Characterization of Sound Speed Profiles
XBT/CTD Comparisons LCDR. Chin-lung Fang OC 3570
Evidence of the California Undercurrent in CTD Data
Comparison of XBT vs CTD Data
Operational Oceanography
Effects of various SST sources on estimates of the Height of the Stratocumulus Topped Boundary Layer LCDR Mike Cooper.
Comparison of Sea Surface Temperature Collection Methods at Sea
LT Sarah Heidt 9 September 2008
CTD/XBT Comparison, Quality of JJYY Data and XBT Data Analysis of the Mixed Layer Depth by LT Mike Roth OC MAR01.
Comparison of CTD/XBT Temperature Profiles and XBT/GDEM Sound Speed Profiles LT Annie Laird 08 March 2006.
CTD AND XBT TEMPERATURE MEASUREMENT COMPARISON
Day 56 Identifying Outliers
Validating NAVO’s Navy Coastal Ocean Model
EL NINO EFFECTS ON SOUND SPEED IN THE SOUTH CHINA SEA BASIN
An Analysis of San Clemente Basin: Crosshore vs. Alongshore
A Comparison of Computed Sound Speed Profiles from CTD and GDEM Data
ENS Alicia A. Washkevich, USN
SIO Contributions for ASAP 2006
Presentation transcript:

Comparison of CTD vs XBT data LCDR John Whelan Cruise dates: 23-30 January 2007

Outline I. Motive II. Equipment Used III. Data Quality Control IV. Analysis V. Conclusions

Motive Conductivity Temperature Depth (CTD) profilers provide an accurate method of determining temperature and salinity with depth. CTD data is then used to compute sound velocity profiles which are of significant importance to naval forces in predicting acoustic characteristics/performance. Unfortunately, CTD systems are very expensive, time consuming to operate, and require a stationary platform to collect data. Expendable Bathythermographs (XBT) provide a quick and low cost method of determining temperature versus depth. Using an assumed salinity, sound velocity profiles (SVP) can easily be generated. XBT can be dropped while underway and are not affected by sea state.

Motive Since XBTs are less sophisticated than CTDs there is a concern that XBTs are not as accurate in determining temperature or may exhibit data bias which would ultimately result in SVP errors. The intent of this project is to determine if there are significant differences between XBT and CTD temperature measurements.

LM-3A Hand Held Launcher Equipment Used Sea Bird 911+CTD/Rosette (12 position) with standard sensor suite. Max cast this study: 2127 m LM-3A Hand Held Launcher Sippican Mark 12 XBT system XBT: T-7 Max Depth: 760 m

Good Error Too far (Not used)

Good Error Too far?

Data Quality Control Initially 25 possible pairs 1 CTD failure 1 XBT failure 1 XBT processed as shorter depth T-6 vice T-7 1 pair 4 km apart 21 pairs of CTD/XBT remain for analysis Only downcast data for CTD used Data was plotted and inspected for obvious errors Several XBT datasets had temperature spike at end of record removed

Analysis Representative plot:

Analysis EOF for CTD for 21 pairs

Analysis EOF for XBT for 21 pairs

Analysis EOF for Temp Difference for 21 pairs

Analysis EOF for Sound Velocity Difference for 21 pairs

Analysis Mean and Standard Deviation for 21 pairs - Temperature

Analysis Mean and Standard Deviation for 21 pairs – Sound Velocity

Data QC During course of analysis noticed some pairs were separated by over 1 km Re-analyzed data excluding pairs more than 1 km apart

Analysis EOF for CTD for 16 pairs EOF for CTD for 21 pairs

Analysis EOF for XBT for 16 pairs EOF for XBT for 21 pairs

Analysis EOF for Temp Difference for 16 pairs

Analysis EOF for Sound Velocity Difference for 16 pairs

Analysis Mean and Standard Deviation for 21 pairs - Temperature

Analysis Mean and Standard Deviation for 16 pairs – Sound Velocity

Conclusions XBT probes measure 0.034 C warmer than CTD with standard deviation of 0.1 C (exactly same as listed in Sippican’s product brochure) XBTs exhibit a warm bias above 200 m and below 700 m Resulting higher temperature measurements by XBT result in an increase in SVP of approximately 5 m/s Difference is not operationally significant – XBT remain a viable method for sampling the ocean environment for acoustic propagation predictions.

References http://www.seabird.com/products/spec_sheets/911data.htm http://www.sippican.com/stuff/contentmgr/files/0dad831400ede7b5f71cf7885fdeb110/sheet/xbtxsv92005.pdf Professor Collins!

Questions?