Resultados de investigación

This project aimed to collect temperature (T) and salinity (S) data from an opportunity vessel along the course of the Ocean Globe Race. It also aimed to develop an automated method to denoise such type of time series. Results show good accuracy in the filtering process and significant gains in time efficiency of the filtering process, ERC-2024-StG FRESH-CARE (Grant Agreement:276 101164517). With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Time is in format YYYY MM DD hh mm ss, in one single CSV column. Latitude and Longitude are in decimal expression, with longitude range from -180º to 180º; legX.dat are files containing raw T,S data; flasks.fk contains bias correction data from water samples taken during legs 2, 3 and 4; outDenoise_legX.dat are files with updated quality control label,s according to denoising processing; constSBC_outDenoise_legX.dat are files with a constant bias correction of +0.130 in salinity, which is done after denoising; leg2.dat; leg3.dat; leg4.dat; flasks.fk; outDenoise_leg2.dat; outDenoise_leg3.dat; outDenoise_leg4.dat; constSBC_outDenoise_leg2.dat; constSBC_outDenoise_leg3.dat; constSBC_outDenoise_leg4.dat, Peer reviewed