Dataset: Time series composite CTD profiles from R/V Hermano Ginés cruises in the Cariaco Basin from 1995 through 2017 (CARIACO Ocean Time-Series Program)

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.3092.1Version 1 (2019-06-04)Dataset Type:Cruise Results

Lead Principal Investigator, Principal Investigator: Frank Muller-Karger (University of South Florida)

Co-Principal Investigator: Yrene Astor (Estacion de Investigaciones Marinas de Margarita)

Co-Principal Investigator: Claudia R. Benitez-Nelson (University of South Carolina)

Co-Principal Investigator: Dr Mary I. Scranton (Stony Brook University - MSRC)

Co-Principal Investigator: Gordon T. Taylor (Stony Brook University - MSRC)

Co-Principal Investigator: Dr Robert C. Thunell (University of South Carolina)

Co-Principal Investigator: Ramon Varela (Estacion de Investigaciones Marinas de Margarita)

Scientist: Juan Capelo (Estacion de Investigaciones Marinas de Margarita)

Scientist: Laurencia Guzman (Estacion de Investigaciones Marinas de Margarita)

Scientist, Contact, Data Manager: Laura Lorenzoni (University of South Florida)

Scientist: Enrique Montes (University of South Florida)

Scientist: Jaimie Rojas (Estacion de Investigaciones Marinas de Margarita)

Scientist, Contact, Data Manager: Digna Rueda-Roa (University of South Florida)

Technician: Jesus Narvaez (Estacion de Investigaciones Marinas de Margarita)

Technician: Alberto Rosales (Estacion de Investigaciones Marinas de Margarita)

Technician: Eric Tappa (University of South Carolina)

BCO-DMO Data Manager: Mathew Biddle (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Theresa McKee (Woods Hole Oceanographic Institution)


Program: Ocean Carbon and Biogeochemistry (OCB)

Program: U.S. Joint Global Ocean Flux Study (U.S. JGOFS)

Program: Ocean Time-series Sites (Ocean Time-series)

Project: CARIACO Ocean Time-Series Program (CARIACO)


Abstract

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50° N, 64.67° W) onboard the R/V Hermano Ginés of the Fundación La Salle de Ciencias Naturales de Venezuela. During each cruise, a minimum of four hydrocasts were performed to collect a suite of core monthly observations. We conducted separate shallow and deep casts to obtain...

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The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50° N, 64.67° W) onboard the R/V Hermano Ginés of the Fundación La Salle de Ciencias Naturales de Venezuela. During each cruise, a minimum of four hydrocasts were performed to collect a suite of core monthly observations. We conducted separate shallow and deep casts to obtain a better vertical resolution of in-situ Niskin-bottles samples for chemical observations, and for productivity, phytoplankton, and pigment observations. One CTD composite profile was created for each cruise by stitching together the sections of the different cruise's CTD profiles at the depth interval where water samples were obtained. CTD’s Salinity, Oxygen, and Fluorescence where calibrated with in-situ measurements. The composite CTD profiles dataset is a complement of the hydrographic time series data obtained with the Niskin Bottle Samples (https://www.bco-dmo.org/dataset/3093). The following sections describe the methods used in collecting the core observations at the CARIACO station.

Methodology published at CARIACO site (http://imars.usf.edu/publications/methods-cariaco)

CARIACO Field Program general description (http://www.imars.usf.edu/cariaco)

Additional funding support provided by:
Fondo Nacional de Ciencia, Tecnología e Investigación, FONACIT (2000001702 and 2011000353), Venezuela.
Ley Orgánica de Ciencia, Tecnología e Innovación, LOCTI (Estación de Investigaciones Marinas, 23914), Venezuela.
Inter-American Institute for Global Change Research, IAI (IAI-CRN3094).


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