Synergies
and collaboration

Our ambitious tasks will benefit from existing collaborations and from activities already funded and under way. The ADAPT project, funded by the Canadian NSERC, supports several of our Canadian partners and is devoted to permafrost, but its main focus is on water motion while APT is mostly devoted to snow-vegetation interactions, energy budget and OM fate. Other funding sources include ANR (G. Picard) and Arcticnet (I. Laurion). The involvement and funding status of each partner in the project is listed in the Table below.

  • Florent Domine

    Build and deploy snow and permafrost thermal instruments in taiga.

    Perform field work at 3 subarctic and arctic sites, analyze data.

    IPEV + NSERC
  • Ghislain Picard

    Deploy snow optical instruments.

    Foundation BNP Parisbas
    ANR Monisnow
  • Samuel Morin

    Improve snow physics model crocus.

    Foundation BNP Parisbas
    ANR Monisnow
  • Bertrand Decharme

    Improve LSM ISBA

    Perform model runs to predict permafrost thermal regime and OM fate

    Foundation BNP Parisbas
  • Esther Levesque

    Investigate vegetation assemblages, as related to snow properties.

    ADAPT
  • Michel Allard

    Soil physical properties, OM in soil.

    ADAPT
  • Nigel Roulet

    Measure GHG emissions by wetlands.

    ADAPT
  • Gerhard Krinner

    Improve LSM ORCHIDEE

    Page 21
  • Alain Royer

    Microwave remote sensing of soil freezing, including the use of the SMAP satellite.

    NSERC
  • Isabelle Laurion

    Measure GHG emissions by aquatic systems.

    ARTICNET

 

The synergies between the
various projects are detailed
in the diagram below.

 

 

 

The main deliverables will be: (a) a well-organized data set that will be made available to modelers, including those in sister projects; (b) an improved understanding of physical and biological processes and of their interactions, leading to parameterizations usable in models; (c) improved and well validated land surface modules for snow properties, soil thermal properties, permafrost thermal regime and GHG emissions; (d) Model outputs on permafrost thermal regime, allowing predictions of thawing, and on GHG emissions, which can be included in future climate scenarios.