Two databases derived from BGC-Argo float measurements for marine biogeochemical and bio-optical applications

Abstract. Since 2012, an array of 105 Biogeochemical-Argo (BGC-Argo) floats has been deployed across the world's oceans to assist in filling observational gaps that are required for characterizing open-ocean environments. Profiles of biogeochemical (chlorophyll and dissolved organic matter) and optical (single-wavelength particulate optical backscattering, downward irradiance at three wavelengths, and photosynthetically available radiation) variables are collected in the upper 1000 m every 1 to 10 days. The database of 9837 vertical profiles collected up to January 2016 is presented and its spatial and temporal coverage is discussed. Each variable is quality controlled with specifically developed procedures and its time series is quality-assessed to identify issues related to biofouling and/or instrument drift. A second database of 5748 profile-derived products within the first optical depth (i.e., the layer of interest for satellite remote sensing) is also presented and its spatiotemporal distribution discussed. This database, devoted to field and remote ocean color applications, includes diffuse attenuation coefficients for downward irradiance at three narrow wavebands and one broad waveband (photosynthetically available radiation), calibrated chlorophyll and fluorescent dissolved organic matter concentrations, and single-wavelength particulate optical backscattering. To demonstrate the applicability of these databases, data within the first optical depth are compared with previously established bio-optical models and used to validate remotely derived bio-optical products. The quality-controlled databases are publicly available from the SEANOE (SEA scieNtific Open data Edition) publisher at https://doi.org/10.17882/49388 and https://doi.org/10.17882/47142 for vertical profiles and products within the first optical depth, respectively.

[1]  B. Bergamaschi,et al.  Seeing the light: The effects of particles, dissolved materials, and temperature on in situ measurements of DOM fluorescence in rivers and streams , 2012 .

[2]  L. Prieur,et al.  Unexpected winter phytoplankton blooms in the North Atlantic subpolar gyre , 2017 .

[3]  B. Franz,et al.  Examining the consistency of products derived from various ocean color sensors in open ocean (Case 1) waters in the perspective of a multi-sensor approach , 2007 .

[4]  Catherine Schmechtig,et al.  Processing Bio-Argo particle backscattering at the DAC level , 2018 .

[5]  E. Boss,et al.  Revisiting Ocean Color algorithms for chlorophyll a and particulate organic carbon in the Southern Ocean using biogeochemical floats , 2017 .

[6]  K. Carder,et al.  A simple spectral solar irradiance model for cloudless maritime atmospheres , 1990 .

[7]  Jacqueline Boutin,et al.  A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT) , 2016 .

[8]  Stephen C. Riser,et al.  Biogeochemical sensor performance in the SOCCOM profiling float array , 2017 .

[9]  Rosalia Santoleri,et al.  Seasonal variability of the mixed layer depth in the Mediterranean Sea as derived from in situ profiles , 2005 .

[10]  Stephen C. Riser,et al.  Observations of pigment and particle distributions in the western North Atlantic from an autonomous float and ocean color satellite , 2008 .

[11]  Michael J. Behrenfeld,et al.  Significant contribution of large particles to optical backscattering in the open ocean , 2009 .

[12]  A compilation of global bio-optical in situ data for ocean-colour satellite applications , 2016 .

[13]  C. Mouw,et al.  Global Ocean Particulate Organic Carbon Flux Merged with Satellite Parameters , 2016 .

[14]  Fabrizio D'Ortenzio,et al.  Recommendations for obtaining unbiased chlorophyll estimates from in situ chlorophyll fluorometers: A global analysis of WET Labs ECO sensors , 2017 .

[15]  M. Perry,et al.  Guidelines towards an integrated ocean observation system for ecosystems and biogeochemical cycles , 2010 .

[16]  J. Kindle,et al.  Euphotic zone depth: Its derivation and implication to ocean-color remote sensing , 2007 .

[17]  Hervé Claustre,et al.  Bringing Biogeochemistry into the Argo Age , 2016 .

[18]  Hervé Claustre,et al.  Bio-optical profiling floats as new observational tools for biogeochemical and ecosystem studies: Potential synergies with ocean color remote sensing , 2010 .

[19]  D. Pierson,et al.  Temperature quenching of CDOM fluorescence sensors: temporal and spatial variability in the temperature response and a recommended temperature correction equation , 2012 .

[20]  A. Bracher,et al.  Satellite derived euphotic depth in the Southern Ocean: Implications for primary production modelling , 2013 .

[21]  W. Mccluney,et al.  Estimation of the depth of sunlight penetration in the sea for remote sensing. , 1975, Applied optics.

[22]  A. Morel.  Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters) , 1988 .

[23]  Nicolas Gruber,et al.  Observing Biogeochemical Cycles at Global Scales With Profiling Floats and Gliders Prospects for a Global Array , 2009 .

[24]  Walker O. Smith,et al.  The MAREDAT global database of high performance liquid chromatography marine pigment measurements , 2012 .

[25]  Craig M. Lee,et al.  High-resolution observations of aggregate flux during a sub-polar North Atlantic spring bloom , 2011 .

[26]  Collin S. Roesler,et al.  New insights on obtaining phytoplankton concentration and composition from in situ multispectral Chlorophyll fluorescence , 2010 .

[27]  N. Nelson,et al.  Optical Signatures of Dissolved Organic Matter Transformation in the Global Ocean , 2016, Front. Mar. Sci..

[28]  E. Boss,et al.  Two databases derived from BGC-Argo float measurements forbiogeochemical and bio-optical applications at the global scale , 2017 .

[29]  F. D’Ortenzio,et al.  Combined processing and mutual interpretation of radiometry and fluorimetry from autonomous profiling Bio‐Argo floats: Chlorophyll a retrieval , 2011 .

[30]  Janet Sprintall,et al.  Southern Ocean mixed-layer depth from Argo float profiles , 2008 .

[31]  John J. Cullen,et al.  The deep chlorophyll maximum comparing vertical profiles of chlorophyll a , 1982 .

[32]  F. D’Ortenzio,et al.  Quenching correction for in vivo chlorophyll fluorescence acquired by autonomous platforms: A case study with instrumented elephant seals in the Kerguelen region (Southern Ocean) , 2012 .

[33]  F. D’Ortenzio,et al.  Bio-optical anomalies in the world's oceans: An investigation on the diffuse attenuation coefficients for downward irradiance derived from biogeochemical Argo float measurements , 2017 .

[34]  E. Boss,et al.  Pan-Arctic optical characteristics of colored dissolved organic matter: Tracing dissolved organic carbon in changing Arctic waters using satellite ocean color data , 2017 .

[35]  E. Boss,et al.  Influence of Raman scattering on ocean color inversion models. , 2013, Applied optics.

[36]  F. D’Ortenzio,et al.  Phytoplankton biomass cycles in the North Atlantic subpolar gyre: A similar mechanism for two different blooms in the Labrador Sea , 2015 .

[37]  F. D’Ortenzio,et al.  Bio-Argo quality control manual for the Chlorophyll-A concentration , 2014 .

[38]  Mary Jane Perry,et al.  Seaglider observations of variability in daytime fluorescence quenching of chlorophyll-a in Northeastern Pacific coastal waters , 2008 .

[39]  D. Kiefer,et al.  Fluorescence properties of natural phytoplankton populations , 1973 .

[40]  F. D’Ortenzio,et al.  Vertical distribution of chlorophyll a concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean , 2015 .

[41]  Mati Kahru,et al.  Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 4, Volume IV: Inherent Optical Properties: Instruments, Characterizations, Field Measurements and Data Analysis Protocols , 2013 .

[42]  Yu Hen Hu,et al.  A temperature compensation method for CDOM fluorescence sensors in freshwater , 2011 .

[43]  Diego A. Sorrentino,et al.  Validation of Ocean Color Remote Sensing Reflectance Using Autonomous Floats , 2016 .

[44]  C. Carlson,et al.  Tracing global biogeochemical cycles and meridional overturning circulation using chromophoric dissolved organic matter , 2010 .

[45]  F. D’Ortenzio,et al.  A novel near real-time quality-control procedure for radiometric profiles measured by Bio-Argo floats: protocols and performances , 2016 .

[46]  H. Claustre,et al.  Water intrusions and particle signatures in the Black Sea: a Biogeochemical-Argo float investigation , 2017, Ocean Dynamics.

[47]  D. Antoine,et al.  Seasonal dynamics of light absorption by chromophoric dissolved organic matter (CDOM) in the NW Mediterranean Sea (BOUSSOLE site) , 2014 .

[48]  R. W. Austin.  The remote sensing of spectral radiance from below the ocean surface , 1974 .

[49]  Mary Jane Perry,et al.  Particulate organic carbon and inherent optical properties during 2008 North Atlantic Bloom Experiment , 2012 .

[50]  E. Boss,et al.  Particulate concentration and seasonal dynamics in the mesopelagic ocean based on the backscattering coefficient measured with Biogeochemical‐Argo floats , 2017 .

[51]  Robert Keeley,et al.  Argo Quality Control Manual for CTD and Trajectory Data , 2018 .

[52]  F. D’Ortenzio,et al.  On the trophic regimes of the Mediterranean Sea: a satellite analysis , 2008 .

[53]  R. Ferrari,et al.  Floats with bio-optical sensors reveal what processes trigger the North Atlantic bloom , 2018, Nature Communications.

[54]  Jan Kaiser,et al.  Estimates of net community production and export using high-resolution, Lagrangian measurements of O2, NO3−, and POC through the evolution of a spring diatom bloom in the North Atlantic , 2012 .

[55]  Annick Bricaud,et al.  Retrieval of Colored Detrital Matter (CDM) light absorption coefficients in the Mediterranean Sea using field and satellite ocean color radiometry: Evaluation of bio-optical inversion models , 2016 .

[56]  Fabrizio D'Ortenzio,et al.  Assessing the Variability in the Relationship Between the Particulate Backscattering Coefficient and the Chlorophyll a Concentration From a Global Biogeochemical‐Argo Database , 2017 .

[57]  Walter Munk.  Chapter 1 Oceanography before, and after, the advent of satellites , 2000 .

[58]  S. Maritorena,et al.  Bio-optical properties of oceanic waters: A reappraisal , 2001 .

[59]  Michael J. Behrenfeld,et al.  In situ evaluation of the initiation of the North Atlantic phytoplankton bloom , 2010 .

[60]  Stanford B. Hooker,et al.  The Seventh SeaWiFS Intercalibration Round-Robin Experiment (SIRREX-7), March 1999 , 2002 .

[61]  J R Zaneveld,et al.  Influence of surface waves on measured and modeled irradiance profiles. , 2001, Applied optics.

[62]  G. Dall’Olmo,et al.  Carbon export by small particles in the Norwegian Sea , 2014 .

[63]  M. H. Davis.  Conference statement , 1994, Environmental monitoring and assessment.

[64]  André Morel,et al.  Natural variability of bio-optical properties in Case 1 waters: attenuation and reflectance within the visible and near-UV spectral domains, as observed in South Pacific and Mediterranean waters , 2007 .

[65]  Xiaodong Zhang,et al.  Scattering by pure seawater: effect of salinity. , 2009, Optics express.

[66]  Michael S. Twardowski,et al.  Measuring optical backscattering in water , 2013 .

[67]  E. Boss,et al.  Correction of profiles of in‐situ chlorophyll fluorometry for the contribution of fluorescence originating from non‐algal matter , 2017 .

[68]  A. Baker.  Thermal fluorescence quenching properties of dissolved organic matter. , 2005, Water research.

[69]  E. Boss,et al.  Particulate optical scattering coefficients along an Atlantic Meridional Transect. , 2012, Optics express.

[70]  Russ E. Davis,et al.  Robotic Observations of Dust Storm Enhancement of Carbon Biomass in the North Pacific , 2002, Science.