ArcticNet 2008 -------------- Leg 2: 16 July to 28 August 2009 file created : May 8, 2009 (R1: Release 1) last modified : Contents of the ASCII files in ArcticNet_0806.zip (*.int) ------------------------------------------------------------ Warning: please read the processing notes. There was so much variability in the data that many profiles barely passed the quality control spike tests. We ended up by almost processing the casts one by one. ----------------------------------------------------------------- *** NEW *** 1. We have included a 12-line header with the critical meta-data 2. The number of columns has been reduced to 17 (from 18). ---------------------------------------------------------------- **** From July 16 to July 30 **** ------------------------------------- Col Content Format Units --- ----------------- ------ ----- 1 Pressure (or depth) F7.2 dbars 2 Temperature F7.3 deg C (ITS-90) 3 Transmissivity F7.2 % 4 Fluorescence F6.2 micrograms / l 5 Salinity F7.3 PSS 1978 6 Density; sigma(S,T,P) F7.2 kg/m3 7 Specific volume anomaly F4.0 10**(-8) m3 / kg 8 N2 : Brunt-Väisälä frequency E9.2 1/sec2 9 Density; sigma-t: sigma(S,T,0) F7.3 kg/m3 10 Potential temperature (theta) F7.3 deg C 11 Sigma-theta: sigma(S,theta,0) F7.3 kg/m3 12 Freezing temperature F7.2 deg C 13 Dissolved oxygen concentration F7.4 ml/l 14 pH F5.3 no units 15 Nitrates F7.3 micro-M 16 PAR F8.3 µEinsteins/m2/sec 17 Surface PAR F8.3 µEinsteins/m2/sec -------------------------------------------------------------- **** From August 09 to August 28 **** ----------------------------------------- **** pH sensor changed to a CDOM fluorometer **** Col Content Format Units --- ----------------- ------ ----- 1 Pressure (or depth) F7.2 dbars 2 Temperature F7.3 deg C (ITS-90) 3 Transmissivity F7.2 % 4 Fluorescence F6.2 micrograms / l 5 Salinity F7.3 PSS 1978 6 Density; sigma(S,T,P) F7.2 kg/m3 7 Specific volume anomaly F4.0 10**(-8) m3 / kg 8 N2 : Brunt-Väisälä frequency E9.2 1/sec2 9 Density; sigma-t: sigma(S,T,0) F7.3 kg/m3 10 Potential temperature (theta) F7.3 deg C 11 Sigma-theta: sigma(S,theta,0) F7.3 kg/m3 12 Freezing temperature F7.2 deg C 13 Dissolved oxygen concentration F7.4 ml/l 14 CDOM F5.3 volts 15 Nitrates F7.3 micro-M 16 PAR F8.3 µEinsteins/m2/sec 17 Surface PAR F8.3 µEinsteins/m2/sec The data in columns 1, 2, 3, 4, 5, 13, 14, 15 and 16 have been averaged every exact db (pressure), The other parameters have been computed with the averaged data (i.e. pressure, temperature and salinity). The columns show the correct number of significant figures. The NaNs stand for Not-a-Number, at that depth. They are found in the first few meters only. At depth, missing values (rare) have been replaced by linearly interpolating the data from the preceeding and following depths. The Brunt-Väisälä frequency (N2) has been calculated in a leap-frog fashion: i.e. with the data (potential density) from the previous and following depths; i.e. N2 at 5 m is computed with the data at 4 and 6 m. The transmissivity and fluorescence data are the bin averaged, but raw values. The units of the Seapoint Chlorophyll Fluorometer data are micro- grams per liter. The sensor has a minimum detectable level of 0.02 and a range of 0-150 micrograms per liter. The dissolved oxygen data is has been processed the followay way. The caliration was first checked by comparing Wrinkler values with CTD-DO values in the same bottle. The DO sensor calibration coefficients were then corrected. Finally a delay of 10 seconds was added to the DO-CTD data to better fit the upcast and the downcast. The data is then averaged in 1 m bins. Only the downcast is given here. The oxygen gradient in regions of high temperature gradient is still difficult to match to the temperature gradient, but this far from being unusual. The NO3 data has been calibrated with Jean-Éric Tremblay's bottle data. The PAR and pH data are the original, raw data. The missing depth are considered "bad data" by the quality control process. They were removed before the final calculations (density, N2, etc). However, they are available upon request. The quality control process is described in the following document, also included in this zipped file. Please read the processing notes files. Let us know if you find errors. Yves Gratton INRS-Eeau, terre et environnement yves_gratton@ete.inrs.ca Dominique Boisvert INRS-Eeau, terre et environnement dominique_boisvert@ete.inrs.ca and Pascal Guillot Institut des sciences de la mer de Rimouski (ISMER) pascal_guillot@uqar.uquebec.ca