FN Archimer Export Format
PT J
TI Evaluation of an operational ocean model configuration at 1/12° spatial resolution for the Indonesian seas (NEMO2.3/INDO12) – Part 2: Biogeochemistry
BT 
AF GUTKNECHT, Elodie
   REFFRAY, Guillaume
   GEHLEN, Marion
   TRIYULIANTI, Iis
   BERLIANTY, Dessy
   GASPAR, Philippe
AS 1:1;2:1;3:2;4:3;5:3;6:4;
FF 1:;2:;3:;4:;5:;6:;
C1 Mercator Ocean, 8-10 Rue Hermes, F-31520 Ramonville St Agne, France.
   UMR CEA CNRS UVSQ, LSCE, F-91191 Gif Sur Yvette, France.
   Inst Marine Res & Observat, Negara Jembrana 82251, Bali, Indonesia.
   CLS, 8-10 Rue Hermes, F-31520 Ramonville St Agne, France.
C2 MERCATOR OCEAN, FRANCE
   CEA, FRANCE
   IMRO, INDONESIA
   CLS, FRANCE
IN DOAJ
IF 3.458
TC 11
UR https://archimer.ifremer.fr/doc/00421/53284/54280.pdf
   https://archimer.ifremer.fr/doc/00421/53284/54281.pdf
LA English
DT Article
CR MD 180 / INDOMIX
BO Marion Dufresne
AB In the framework of the INDESO (Infrastructure Development of Space Oceanography) project, an operational ocean forecasting system was developed to monitor the state of the Indonesian seas in terms of circulation, biogeochemistry and fisheries. This forecasting system combines a suite of numerical models connecting physical and biogeochemical variables to population dynamics of large marine predators (tunas). The physical-biogeochemical coupled component (the INDO12BIO configuration) covers a large region extending from the western Pacific Ocean to the eastern Indian Ocean at 1/12 degrees horizontal resolution. The NEMO-OPA (Nucleus for European Model of the Ocean) physical ocean model and the PISCES (Pelagic Interactions Scheme for Carbon and Ecosystem Studies) biogeochemical model are running simultaneously ("online" coupling), at the same resolution. The operational global ocean forecasting system (1/4 degrees) operated by Mercator Ocean provides the physical forcing, while climatological open boundary conditions are prescribed for the biogeochemistry. This paper describes the skill assessment of the INDO12BIO configuration. Model skill is assessed by evaluating a reference hindcast simulation covering the last 8 years (2007-2014). Model results are compared to satellite, climatological and in situ observations. Diagnostics are performed on nutrients, oxygen, chlorophyll a, net primary production and mesozooplankton. The model reproduces large-scale distributions of nutrients, oxygen, chlorophyll a, net primary production and mesozooplankton biomasses. Modelled vertical distributions of nutrients and oxygen are comparable to in situ data sets although gradients are slightly smoothed. The model simulates realistic biogeochemical characteristics of North Pacific tropical waters entering in the archipelago. Hydrodynamic transformation of water masses across the Indonesian archipelago allows for conserving nitrate and oxygen vertical distribution close to observations, in the Banda Sea and at the exit of the archipelago. While the model overestimates the mean surface chlorophyll a, the seasonal cycle is in phase with satellite estimations, with higher chlorophyll a concentrations in the southern part of the archipelago during the SE monsoon and in the northern part during the NW monsoon. The time series of chlorophyll a anomalies suggests that meteorological and ocean physical processes that drive the interannual variability of biogeochemical properties in the Indonesian region are reproduced by the model. 
PY 2016
SO Geoscientific Model Development
SN 1991-959X
PU Copernicus Gesellschaft Mbh
VL 9
IS 4
UT 000376936200012
BP 1523
EP 1543
DI 10.5194/gmd-9-1523-2016
ID 53284
ER

EF