1 / 16

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

winka
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related