Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
Volume 9, issue 4
Geosci. Model Dev., 9, 1523–1543, 2016
https://doi.org/10.5194/gmd-9-1523-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Nucleus for European Modelling of the Ocean - NEMO

Geosci. Model Dev., 9, 1523–1543, 2016
https://doi.org/10.5194/gmd-9-1523-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 21 Apr 2016

Development and technical paper | 21 Apr 2016

Evaluation of an operational ocean model configuration at 1/12° spatial resolution for the Indonesian seas (NEMO2.3/INDO12) – Part 2: Biogeochemistry

Elodie Gutknecht et al.

Related authors

Modelling the marine ecosystem of Iberia–Biscay–Ireland (IBI) European waters for CMEMS operational applications
Elodie Gutknecht, Guillaume Reffray, Alexandre Mignot, Tomasz Dabrowski, and Marcos G. Sotillo
Ocean Sci., 15, 1489–1516, https://doi.org/10.5194/os-15-1489-2019,https://doi.org/10.5194/os-15-1489-2019, 2019
Short summary

Related subject area

Oceanography
Doppio – a ROMS (v3.6)-based circulation model for the Mid-Atlantic Bight and Gulf of Maine: configuration and comparison to integrated coastal observing network observations
Alexander G. López, John L. Wilkin, and Julia C. Levin
Geosci. Model Dev., 13, 3709–3729, https://doi.org/10.5194/gmd-13-3709-2020,https://doi.org/10.5194/gmd-13-3709-2020, 2020
Short summary
Evaluation of global ocean–sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)
Hiroyuki Tsujino, L. Shogo Urakawa, Stephen M. Griffies, Gokhan Danabasoglu, Alistair J. Adcroft, Arthur E. Amaral, Thomas Arsouze, Mats Bentsen, Raffaele Bernardello, Claus W. Böning, Alexandra Bozec, Eric P. Chassignet, Sergey Danilov, Raphael Dussin, Eleftheria Exarchou, Pier Giuseppe Fogli, Baylor Fox-Kemper, Chuncheng Guo, Mehmet Ilicak, Doroteaciro Iovino, Who M. Kim, Nikolay Koldunov, Vladimir Lapin, Yiwen Li, Pengfei Lin, Keith Lindsay, Hailong Liu, Matthew C. Long, Yoshiki Komuro, Simon J. Marsland, Simona Masina, Aleksi Nummelin, Jan Klaus Rieck, Yohan Ruprich-Robert, Markus Scheinert, Valentina Sicardi, Dmitry Sidorenko, Tatsuo Suzuki, Hiroaki Tatebe, Qiang Wang, Stephen G. Yeager, and Zipeng Yu
Geosci. Model Dev., 13, 3643–3708, https://doi.org/10.5194/gmd-13-3643-2020,https://doi.org/10.5194/gmd-13-3643-2020, 2020
Short summary
Representation of the Denmark Strait overflow in a z-coordinate eddying configuration of the NEMO (v3.6) ocean model: resolution and parameter impacts
Pedro Colombo, Bernard Barnier, Thierry Penduff, Jérôme Chanut, Julie Deshayes, Jean-Marc Molines, Julien Le Sommer, Polina Verezemskaya, Sergey Gulev, and Anne-Marie Treguier
Geosci. Model Dev., 13, 3347–3371, https://doi.org/10.5194/gmd-13-3347-2020,https://doi.org/10.5194/gmd-13-3347-2020, 2020
Short summary
A global eddying hindcast ocean simulation with OFES2
Hideharu Sasaki, Shinichiro Kida, Ryo Furue, Hidenori Aiki, Nobumasa Komori, Yukio Masumoto, Toru Miyama, Masami Nonaka, Yoshikazu Sasai, and Bunmei Taguchi
Geosci. Model Dev., 13, 3319–3336, https://doi.org/10.5194/gmd-13-3319-2020,https://doi.org/10.5194/gmd-13-3319-2020, 2020
Short summary
Tracking water masses using passive-tracer transport in NEMO v3.4 with NEMOTAM: application to North Atlantic Deep Water and North Atlantic Subtropical Mode Water
Dafydd Stephenson, Simon A. Müller, and Florian Sévellec
Geosci. Model Dev., 13, 2031–2050, https://doi.org/10.5194/gmd-13-2031-2020,https://doi.org/10.5194/gmd-13-2031-2020, 2020
Short summary

Cited articles

Allen, G. R.: Conservation hotspots of biodiversity and endemism for Indo-Pacific coral reef fishes, Aquat. Conserv., 18, 541–556, https://doi.org/10.1002/aqc.880, 2008.
Allen, G. R. and Werner, T. B.: Coral Reef Fish Assessment in the “Coral Triangle” of Southeastern Asia, Environ. Biol. Fish., 65, 209–2014, https://doi.org/10.1023/A:1020093012502, 2002.
Alongi, D. A., da Silva, M., Wasson, R. J., and Wirasantosa, S.: Sediment discharge and export of fluvial carbon and nutrients into the Arafura and Timor Seas: A regional synthesis, Mar. Geol., 343, 146–158, https://doi.org/10.1016/j.margeo.2013.07.004, 2013.
Aumont, O. and Bopp, L.: Globalizing results from ocean in situ iron fertilization studies, Global Biogeochem. Cy., 20, GB2017, https://doi.org/10.1029/2005GB002591, 2006.
Ayers, J. M., Strutton, P. G., Coles, V. J., Hood, R. R., and Matear, R. J.: Indonesian throughflow nutrient fluxes and their potential impact on Indian Ocean productivity, Geophys. Res. Lett., 41, 5060–5067, https://doi.org/10.1002/2014GL060593, 2014.
Publications Copernicus
Download
Short summary
An operational ocean forecasting system was developed to monitor the state of the Indonesian seas in terms of circulation, biogeochemistry and fisheries (INDESO project). Here we describe the skill assessment of the physical-biogeochemical coupled model configuration. Model results reproduce the main characteristics of biogeochemical tracer distributions in space and time: phasing of chlorophyll bloom, nutrient and oxygen distributions, water mass transformation across the archipelago.
An operational ocean forecasting system was developed to monitor the state of the Indonesian...
Citation