_e Menn et al 
or not the SVP-BRST buoys remain within the initial tolerance 
f0.01°C. 
AUTHOR CONTRIBUTIONS 
MlLe: responsible for the metrology part. PP: concept of 
measurements, deployment of buoys, and data processing. 
AD and JS: buoy developer. MLu: responsible of the project 
and data processing. AO’C: initiator of the project and the 
REFERENCES 
Banks, A. C., Mittaz, J., Bialek, A., Woolliams, E., Nightingale, J., Fox, N., et al. 
(2017). “Metrology in satellite oceanography;” in Conference: Second National 
Physical Laboratory (UK) - National Institute of Metrology (China) Joint 
Symposium (Teddington: NPL). 
BIPM (2008). Evaluation of Measurement Data - Guide to the Expression of 
Uncertainty in Measurement. JCGM 100:2008. 
BIPM (2012). International Vocabulary of Metrology - Basic and General concepts 
and Associated Terms (VIM), 3rd Edn. JCGM 200. 
Blouch, P., Billon, C., Poli, P. (2018). Recommended Iridium SBD Dataformats for 
Buoys (Version 1.7). Zenodo. 
Castro, S. L., Gary A. W., William J. E. (2012). Evaluation of the relative 
performance of sea surface temperature measurements from different types 
of drifting and moored buoys using satellite-derived reference products. JGR 
Oceans 117:C2. doi: 10.1029/2011JC007472 
le Podesta, M., Bell, S., and Underwood, R. (2018). Air temperature sensors: 
dependence of radiative errors on sensor diameter in precision metrology and 
meteorology. Metrologia 55, 229-244. doi: 10.1088/1681-7575/aaaa52 
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., 
et al. (2011). The ERA-Interim reanalysis: configuration and performance of 
the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553-597. doi: 10.1002/ 
qj.828 
Donlon, C., Berruti, B., Buongiorno, A., Ferreira, M.-H., Femenias, P., Frerick, 
1, et al. Sciarra, R. (2012). The Global Monitoring for Environment 
and Security (GMES) Sentinel-3 mission. Remote Sens. Env. 120, 37-57. 
doi: 10.1016/j.rse.2011.07.024 
Donlon, C. J., Nykjaer, L., and Gentemann, C. (2004). Using sea 
surface temperature measurements from microwave and infrared 
satellite measurements. Int. J. Remote Sens. 25, 1331-1336. 
doi: 10.1080/01431160310001592256 
EGOS (2002). Minimum Specifications and Guidelines for the Operation of EGOS 
Drifting Buoys. Technical Document. 
Gaillard, F., Diverres, D., Jacquin, S., Gouriou, Y., Grelet, J., Le Menn, M., et al. 
(2015). Sea Surface Temperature and Salinity from French research Vessels, 
2001-2013. Nat. Sci. Data 2:150054. doi: 10.1038/sdata.2015.54 
Hausfather, Z., Cowtan, K., Clarke, D. C., Jacobs, P., Richardson, M., Rohde, 
R. (2017). Assessing recent warming using instrumentally homogeneous sea 
surface temperature records. Sci. Adv. 3:e1601207. doi: 10.1126/sciadv.1601207 
immler, J. F., Dykema, J., Gardiner, T., Whiteman, D. N., Thorne, P. W., 
and Vomel, H. (2010). Reference quality upper-air measurements: guidance 
for developing GRUAN data products. Atmos. Meas. Tech. 3, 1217-1231. 
doi: 10.5194/amt-3-1217-2010 
[SO 5725-2 (1994). Accuracy (Trueness and Precision) of Measurement Methods 
and Results - Part 2: Basic Method for the Determination of Repeatability and 
Reproducibility of a Standard Measurement Method, Available online at: https:// 
www.iso.org/ 
Kennedy, J. J. (2014). A review of uncertainty in in situ measurements and data 
zets of sea surface temperature. Rev. Geophys. 52, 1-32. doi: 10.1002/2013RG 
000434 
Kennedy, J. J., Rayner, N. A., Smith, R. O., Saunby, M., and Parker, D. E. 
(2011a). Reassessing biases and other uncertainties in sea-surface temperature 
observations since 1850 Part 1: measurement and sampling errors. J. Geophys. 
Res. 116:D14103. doi: 10.1029/201017D015218 
ZIrontiers in Marine Science | www frontiersin orı 
SVP-BRST Fiducial Reference Network 
requirements. MB: metadata transmission and processing. KH: 
trials at sea. 
FUNDING 
This work was a part of the TRUSTED project led by Collecte 
Localisation Satellite (CLS) following a call to tender by 
EUMETSAT. TRUSTED is a Copernicus project, funded by the 
European Commission. 
Kennedy, J. J., Smith, R., and Rayner, N. (2011b). Using AATSR data to assess 
the quality of in situ sea surface temperature observations for climate studies. 
Remote Sens. Environ. 116, 79-92. doi: 10.1016/j.rse.2010.11.021 
Kent, E., and Berry, D. (2008). Assessment of the Marine Observing System 
(ASMOS): Final Report. Technical Report. National Oceanography 
Centre, Southampton. 
Le Traon, P. Y. (2018). “Satellites and operational oceanography;” in New 
Frontiers in Operational Oceanography,” eds E. Chassinet, A. Pascual, J. 
Tintore, and J. Verron (GODAE Ocean View), 161-190. doi: 10.17125/ 
g0v2018.ch07 
Lewellyn-Jones, D., Edwards, M. C., Mutlow, C. T., Birks, A. R., Barton, I. J., and 
Tait, H. (2001). AATSR: global-change and surface-temperature measurements 
from ENVISAT. ESA Bull. 105, 10-21. 
Lumpkin, R., Pazos, M. (2006). “Chapter 2: Measuring surface currents with 
Surface Velocity Program drifters: the instrument, its data, and some 
recent results” in Lagrangian Analysis and Prediction of Coastal and Ocean 
Dynamics (LAPCOD), eds A. Griffa, A. D. Kirwan, A. J. Mariano, T. 
Ozgokmen, and T. Rossby (Cambridge: Cambridge University Press). 39-67 
doi: 10.1017/CBO9780511535901.003 
Merchant, C. J., Embury, O., Rayner, N. A., David I. B., Corlett, G. K., Lean, K., 
et al. (2012). A 20 year independent record of sea surface temperature for 
climate from Along-Track Scanning Radiometers. J. Geophys. Res. 117:C12013. 
doi: 10.1029/2012JC008400 
Merchant, C. J., Holl, G., Mittaz, J., and Woolliams, E., R. (2019). Radiance 
uncertainty characterisation to facilitate climate data record creation. Remote 
Sens. 11:474. doi: 10.3390/rs11050474 
Milman, A. S., and Wiheit, T. T. (1985). Sea surface temperatures 
from the scanning multichannel microwave radiometer on Nimbus 
7. J. Geophys. Res. 90, 11631-11641. doi: 10.1029/TC090iC06 
p11631 
Niclös, R., Caselles, V., Valor, E., and Coll, C. (2007). Foam effect on the 
sea surface emissivity in the 8-14 mm region. J. Geophys. Res. 112:C12020 
doi: 10.1029/2007JC004521 
O’Carroll, A., Eyre, J. E., Saunders, R. W. (2008). Three-way error analysis between 
AATSR, AMSR-E, and in situ sea surface temperature observations. J. Atmos. 
Ocean. Technol. 25, 1197-1207. doi: 10.1175/2007J TECHO542.1 
Oka, E. (2005). Long-term sensor drift found in recovered argo profiling floats. 
Ocean. 61, 775-781. doi: 10.1007/s10872-005-0083-6 
Poli, P., Emzivat, G., Blouch, P., Ferezou, R., and Cariou, A. (2016). “Meteo- 
France/E-SURFMAR HRSST (re)calibration” in GHRSST Workshop on 
Traceability of Drifter SST Measurements (La Jolla, CA: Scripps Institution 
for Oceanography). 
Poli, P., Lucas, M., O’Carroll, A., Le Menn, M., David, A., Corlett, G. K., et al. 
(2018). The Copernicus Surface Velocity Platform drifter with Barometer and 
Reference Sensor for Temperature (SVP-BRST): genesis, design, and initial 
results. Ocean Sci. 15, 199-214. doi: 10.5194/0s-2018-109 
Prabhakara, C., Dalu, G., and Kunde, V. G. (1974). Estimation of 
sea surface temperature from remote sensing in the 11- to 13-um 
window region. J. Geophys. Res. 79, 5039-5044. doi: 10.1029/JC079i033 
p05039 
Roemmich, D., Gilson, J. (2009). The 2004-2008 mean and annual cycle of 
temperature, salinity and steric height in the global ocean from the Argo 
program. Prog. Oceanogr. 82, 81-100. doi: 10.1016/j.pocean.2009.03.004 
Schlichting, H. (1979). Boundary-Layer Theory. New York, NY: McGraw-Hill, 817. 
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