MERCATOR OCEAN JOURNA: 
SEPTEMBER 2021 
REFERENCES 
Buongiorno Nardelli, B., 
Tronconi, C., Pisano, A., 
Santoleri, R. (2013). High 
and Ultra-High resolution 
processing of satellite Sea 
Surface Temperature data over 
50uthern European Seas in the 
framework of MyOcean project. 
Remote Sensing of Environment, 
129, 1-16. 
Donlon, C.J., Martin, M., Stark, 
J., Roberts-Jones, J., Fiedler, 
E., Wimmer, W., The Operational 
Sea Surface Temperature 
and Sea Ice Analysis (OSTIA) 
system, Remote Sensing of 
Environment, Volume 116, 2012, 
Yages 140-158, ISSN 0034- 
4257, https://dol.org/10.1016/). 
"se.2010.10.017. 
Fiedler, EK, Mao, C, Good, 
SA, Waters, J, Martin, MJ. 
mprovements to feature 
resolution in the OSTIA sea 
surface temperature analysis 
Jsing the NEMOVAR assimilation 
scheme. Q JR Meteorol Soc. 
2019; 145: 3609- 3625. https:// 
dol.org/10.1002/0].3644. 
Good, S.; Fiedler, E.; Mao, 
C.; Martin, M.J.; Maycock, 
A.; Reid, R.; Roberts-Jones, 
J.; Searle, T.; Waters, J.; 
While, J.; Worsfold, M. The 
Zurrent Configuration of the 
JSTIA System for Operational 
Production of Foundation Sea 
5urface Temperature and Ice 
Zoncentration Analyses. Remote 
5ens. 2020, 12, 720. https://doi. 
rg/10.3390/rs 12040720. 
Martin, M., Dash, P., Ignatov, A., 
Banzon, V., Beggs, H., Brasnett, 
3., Cayula, J.-F., Cummings, 
J., Donlon, C., Gentemann, 
C., Grumbine, R., Ishizaki, S., 
Maturi, E., Reynolds, R.W., 
Roberts-Jones, 
J., Group for High Resolution 
5ea Surface temperature 
'GHRSST) analysis fields 
ntercomparisons. Part 1: 
A GHRSST multi-product 
ensemble (GMPE), Deep Sea 
Research Part Il: Topical Studies 
in Oceanography, Volumes 
77-80, 2012, Pages 21-30, 
SSN 0967-0645, https://doi. 
arg/10.1016/j.dsr2.2012.04.013. 
Marullo, S., Santoleri, R., 
Ciani, D., Le Borgne, P., Pere, 
S., Pinardi, N., ... Nardone, G. 
(2014). Combining model and 
Jeostationary satellite data to 
reconstruct hourly SST field 
ver the Mediterranean Sea. 
Zemote sensing of environment 
46, 11-23, 
Merchant, C.J., Embury, 0,, 
Roberts-Jones, J., Fiedler, E., 
Bulgin, C.E., Corlett, G.K., Good, 
S., McLaren, A., Rayner, N., 
Morak-Bozzo, S. and Donlon, C. 
'2014), Sea surface temperature 
Jatasets for climate applications 
’rom Phase 1 of the European 
5pace Agency Climate Change 
'nitiative (SST CCI). Geosei. 
Data J., 1: 179-191. https://do' 
arg/10.1002/gdj3.20 
Merchant, C.J., Embury, 0,, 
Bulgin, C.E. et al. Satellite 
based time-series of sea- 
surface temperature since 
981 for climate applications. 
3ci Data 6, 223 (2019). https:/- 
doi.org/10.1038/s41597-019- 
]236-x. 
Mogensen, K.; Alonso- 
Balmaseda, M.; Weaver, A.; 
Martin, M.; Vidard, A. NEMOVAR 
A variational data assimilatior 
system for the NEMO ocean 
model. ECMWF Newsl. 2009 
120,17-21. 
Pisano, A., Buongiorno Nardelli, 
B., Tronconi, C., Santoleri, R. 
(2016). The new Mediterranean 
optimally interpolated 
pathfinder AVHRR SST Dataset 
(1982-2012). Remote Sensing o* 
Environment, 176, 107-116 
While, J., Mao, C., Martin, M.J., 
Roberts-Jones, J., Sykes, 
P.A., Good, S.A. and McLaren. 
A.J. (2017), An operational 
analysis system for the global 
diurnal cycle of sea surface 
temperature: implementation 
and validation. Q.J.R. Meteorol 
Soc., 143: 1787-1803. https:// 
dol.org/10.1002/qj.3036.