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CROCO

Release 2.1

  • Reduction of PISCES memory footprint to reduce memory access.
  • Reduction of the number of MPI communications.
  • Improved performance: vectorization, numerical calculation, 1/day call of the POC lability calculation instead of a time-step call of the biogeochemical model.
  • Sediment metamodel burial parameters added to the PISCES namelist.
  • Alkalinity damping control separated from nutrient damping control.
  • Calculation of diazotrophy removed from p4zsed.F90 and done in the p4zdiaz.F90.
  • Changing impact of mixed layer on primary productivity. The effect of photoperiod (day length, ln_p4z_dcyc) and the mixed-layer depth is merged into a single parameterization based on Schatwell et al., 20121
  • Add the parameterization of diurnal vertical migration of mesozooplankton (ln_dvm_meso, Gorgues et al., 20192).
  • Reformulation of phytoplankton size and its effect on ½ saturation constants and grazing by microzooplankton.
  • Phytoplankton N/P ratio reformulated in PISCES-Research, the full quota version of PISCES.
  • Reformulation of calcite dissolution according to Naviaux et al., 20193.
  • Sediment module: switch to Rosenbrock's implicit time scheme (orders 3 and 4) involving a major rewrite of the diagenetic code. Also significant developments both in terms of cpu efficiency (twice as fast), and physics with an improved parameterization of sulfur and iron cycles in sediment. Tunings of different parameters.
  • Add debugging options by biogeochemical process (namelist + code).
  • Rename PISCES-Simple CPP key from key_pisces_light to key_pisces_npzd

Release 2.0

  • Add PISCES-Simple (key_pisces_light CPP key). This is the NPZD version of PISCES-Operational. It models the marine biogeochemical cycles of 9 prognostic tracers, one generic group of phytoplankton and zooplankton and includes the Fe cycle for a better representation of primary production in iron-limited regions.

Release 1.3

Version of Aumont et al. (2015)4 with the addition of :

  • Ocean carbonate system changed to Mocsy 2.0 standards (Orr et Epitalon, 20155).
  • Add PISCES-Research (key_pisces_quota CPP key), the full quota version of PISCES (Kwiatkowski et al., 20186).
  • Variable composition of POC (Aumont et al., 20177).
  • Add prognostic ligands, key_ligand (Völker and Tagliabue, 20158).
  • New semi-lagrangian sinking scheme ln_sink_new
  • Bug correction of particles accumulation in anoxic and nitrate-limited areas (nitrfac2 in p4zrem.F90)
  • Major update of the diagenetic module (marine sediment biogeochemistry, key_sediment).

  1. Tom Shatwell, Andreas Nicklisch, and Jan Köhler. Temperature and photoperiod effects on phytoplankton growing under simulated mixed layer light fluctuations. Limnology and Oceanography, 57(2):541–553, 2012. doi:10.4319/lo.2012.57.2.0541. ↩

  2. Thomas Gorgues, Olivier Aumont, and Laurent Memery. Simulated Changes in the Particulate Carbon Export Efficiency due to Diel Vertical Migration of Zooplankton in the North Atlantic. Geophysical Research Letters, 46(10):5387–5395, 2019. doi:10.1029/2018GL081748. ↩

  3. John D Naviaux, Adam V Subhas, Nick E Rollins, Sijia Dong, William M Berelson, and Jess F Adkins. Temperature dependence of calcite dissolution kinetics in seawater. Geochimica et Cosmochimica Acta, 246:363–384, 2019. doi:10.1016/j.gca.2018.11.037. ↩

  4. Olivier Aumont, Christian Ethé, Alessandro Tagliabue, Laurent Bopp, and Marion Gehlen. PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies. Geoscientific Model Development, 8:2465–2513, 2015. doi:10.5194/gmd-8-2465-2015. ↩

  5. JC Orr and J-M Epitalon. Improved routines to model the ocean carbonate system: mocsy 2.0. Geoscientific Model Development, 8(3):485–499, 2015. doi:10.5194/gmd-8-485-2015. ↩

  6. Lester Kwiatkowski, Olivier Aumont, Laurent Bopp, and Philippe Ciais. The Impact of Variable Phytoplankton Stoichiometry on Projections of Primary Production, Food Quality, and Carbon Uptake in the Global Ocean. Global Biogeochemical Cycles, 32(4):516–528, 2018. doi:10.1002/2017GB005799. ↩

  7. Olivier Aumont, Marco van Hulten, Matthieu Roy-Barman, Jean-Claude Dutay, Christian Éthé, and Marion Gehlen. Variable reactivity of particulate organic matter in a global ocean biogeochemical model. Biogeosciences, 14(9):2321–2341, 2017. doi:10.5194/bg-14-2321-2017. ↩

  8. Christoph Völker and Alessandro Tagliabue. Modeling organic iron-binding ligands in a three-dimensional biogeochemical ocean model. Marine Chemistry, 173:67–77, 2015. doi:10.1016/j.marchem.2014.11.008. ↩