WebTritium update merged Carolina Berys Date: 2024-07-20 Data Type: Bottle Action: Website Update Note: P16N 2006 325020060213 processing - BTL/merge - TRITUM 2024-07-20 C Berys Submission filename submitted by date id ----- WHOI P16_2006 Revised Tritium Submission.xlsx William Jenkins 2015-11-30 12039 325020060213.exc.csv Bob Key … WebCTD should preferably be equipped with dual sensors for salinity and temperature, to prevent loss of data and provide a first instance of quality control. For stratified waters …
CTD Salinity for P16 150˚W (500:1) − SOUTH
WebIn my previous post I reported that the Irminger 8 CTD data looked to be very promising, but I like to include one more step before recommending data to be used for science: carefully considering salinity bottle data. Salinity bottle data can be used in many ways to support a particular scientific objective or research question. http://whp-atlas.ucsd.edu/pacific/p16/sections/bottle/2500/P16_SALNTY_all_1000.pdf iot devices in the workplace
Potential Temperature (˚C) for P16 150˚W (1000:1)
D (Depth): Despite having depth in the name, all CTDs actually measure pressure, which is not quite the same thing. The relationship between pressure and depth is a complex one involving water density and compressibility as well as the strength of the local gravity field (a function of the latitude). In oceanography, … See more If we measure conductivity, temperature, and pressure, we can calculate the amount of dissolved salts in the water – the salinity. The units for salinity are PSU (Practical Salinity Unit); a typical value in the ocean is 35 PSU. … See more WebCTD Salinity for P16 150˚W (500:1) − SOUTH km Lat m 53 48 43 38 33 28 23 18 13 8 180 185 190 195 200 205 210 215 221 226 231 236 241 246 251 258 259 Computer Generated. Created Date: Websections along 150°W in both hemispheres and 170°W in the Southern Hemisphere. The carefully calibrated CTD data from all these sections are thought to be accurate to at least 0.002°C or better in temperature, and 0.003 PSS-78 … iot digital health