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A 1-D Sea Ice Thermodynamic Model for studies of sea-ice biogeochemistry

WORKSHOP W10 Progetto VECTOR. (Rimini, 11 th of September 2007). A 1-D Sea Ice Thermodynamic Model for studies of sea-ice biogeochemistry by Letizia Tedesco 1,2 , Marcello Vichi 1,3 , Jari Haapala 4 and Tapani Stipa 4

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A 1-D Sea Ice Thermodynamic Model for studies of sea-ice biogeochemistry

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  1. WORKSHOP W10 Progetto VECTOR (Rimini, 11th of September 2007) A 1-D Sea Ice Thermodynamic Model for studies of sea-ice biogeochemistry by Letizia Tedesco1,2, Marcello Vichi1,3, Jari Haapala4 and Tapani Stipa4 1Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC), Bologna, Italy 2University of Bologna, Centro Interdipipartimentale di Ricerca per le Scienze Anbientali (CIRSA), Ravenna, Italy 3Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy 4Finnish Institute of Marine Research, Helsinki, Finland collaboration with the Finnish Institute of Marine Research

  2. Motivation • Sea-ice ecosystem still poorly understood • Sea ice algae closely related to the phytoplankton bloom • Filling the “seasonal gap” of the global carbon cycle in ice-covered regions • Examine interactions between sea-ice physics and biogeochemistry • No such a coupled model yet exists! courtesy of H. Kartokallio, redrawn after Arrigo (2003) courtesy of D. Allen, CAMP project letizia.tedesco@cmcc.it

  3. Outline • Brief model description • Model results • Current model implementations • Next developments: coupling with BFM (Biogeochemical Flux Model) letizia.tedesco@cmcc.it

  4. Model description Assumptions • (Improved) 0-layer Semtner model • Snow ice and superimposed ice formation • Snow compaction Prognostic variables • Snow (two density classes) • Ice (superimposed ice, snow ice, sea ice) • Surface temperature Forcing data: NCEP and ERA15 Reanalysis 6 h • Tair at 2 m,Total Cloud Cover, Precipitation rate, Irradiance, U at 10 m, qair,surf Observations: Ice Service at FIMR letizia.tedesco@cmcc.it

  5. Model description –general structure during the growth period new new old snow snow ice sea ice seawater letizia.tedesco@cmcc.it

  6. Model description –general structure during the decay period old new superimposed snow snow ice sea ice seawater letizia.tedesco@cmcc.it

  7. Ajos Kummelgrund Jussarö Kotka Model results in the Baltic Sea: 1979-1993 letizia.tedesco@cmcc.it

  8. Model results: Ajos Tedesco et al., BER,submitted letizia.tedesco@cmcc.it

  9. Model results: Ajos Tedesco et al., BER,submitted letizia.tedesco@cmcc.it

  10. Conclusions • Snow and snow metamorphism is THE KEY FACTOR in sea ice modelling • An improved O-layer Semtner model does a good job (if the snow layer is well simulated) in: • Timing of growth and decay • Snow and ice thicknesses letizia.tedesco@cmcc.it

  11. Current and next model developments Implementations: ERA 40 6 h Reanalysis Salinity:ki,s(T,S); ci,s(T,S); Li,s (T,S) gravity drainage and flushing Light: α (z,surface type) light penetration in every layer Applications: Arctic(Svalbard, data provided by NPI) Antarctic(Ross Sea, data provided by PNRA) Coupling: with BFM(Biogeochemical Flux Model, Vichi et al, 2007a; Vichi et al., 2007b), direct descendent of ERSEM (Baretta et al., 1995; Baretta-Bekker et al. 1997) letizia.tedesco@cmcc.it

  12. BFM description Pelagic BFM Benthic BFM For documentation, code, applications and publications BFM portal http://www.bo.ingv.it/bfm letizia.tedesco@cmcc.it

  13. Coupling the SEA ICE model with the BFM New Living Functional Group: Sea Ice Algae S 2 subgroups: S(1) surviving diatoms, S(2) adapted diatoms letizia.tedesco@cmcc.it

  14. Future development: a fully coupled Sea Ice-Pelagic System BFM-SI letizia.tedesco@cmcc.it

  15. Future development: a fully coupled Sea Ice-Pelagic System BFM-SI letizia.tedesco@cmcc.it

  16. Thanks for your attention! Svalbard Archipelago, July 2007

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