Bilde av D'Amboise, Christopher
Bilde av D'Amboise, Christopher
Postdoc Institutt for geovitenskap christopher.damboise@uit.no Her finner du meg

Christopher D'Amboise


Stillingsbeskrivelse

Work within the framework of the IMPETUS project with a focus on how the frequency and magnitude of natural hazards will change in a warming climate.


  • Vilde Edvardsen Hansen, Christopher James D'Amboise, Louise Mary Vick :
    Limitations of RAMMS:Debrisflow as a slushflow simulation tool
    International Snow Science Workshops (ISSW) Proceedings 2024 ARKIV
  • Sarah Valent, Nilas Tilo Mikkelsen, Jordy Hendrikx, Holt Hancock, Christopher James D'Amboise, Louise Mary Vick m.fl.:
    University snow science courses - an analysis of student learning outcomes
    International Snow Science Workshops (ISSW) Proceedings 2024 ARKIV
  • Yoichi Ito, Graham Gilbert, Dieter Issler, Callum Tregaskis, Louise Mary Vick, Carly Faber m.fl.:
    Building resilience to avalanches and other climate-driven geohazards through international collaboration in education: experience from the GEOMME partnership
    International Snow Science Workshops (ISSW) Proceedings 2024 ARKIV
  • Christopher James D'Amboise, Vilde Edvardsen Hansen, Louise Mary Vick :
    Motivation for slushflow classification
    International Snow Science Workshops (ISSW) Proceedings 2024 ARKIV
  • Christopher James D'Amboise, Karsten Müller, Laurent Oxarango, Samuel Morin, Thomas Schuler :
    Implementation of a physically based water percolation routine in the Crocus/SURFEX (V7.3) snowpack model
    Geoscientific Model Development 2017 ARKIV / DOI
  • Christopher James D'Amboise, Vilde Edvardsen Hansen, Jordy Hendrikx, Louise Mary Vick :
    The initial steps for a data science investigation on slushflows in northern Norway
    2023

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    Publikasjoner utenom Cristin

    • Accastello, Cristian; Poratelli, Francesca; Renner, Kathrin; Cocuccioni, Silvia; D'Amboise, Christopher JL; Teich, Michaela; ,Risk-based decision support for protective forest and natural hazard management,,,,,2022,IntechOpen
    • D'Amboise, Christopher; Plörer, Matthias; Hormes, Anne; Adams, Marc; Kleemayr, Karl; Teich, Michaela; ,Identifying object protection forest for natural hazards with the model Flow-py,EGU General Assembly Conference Abstracts,,,EGU21-14315,2021,
    • Plörer, Matthias; Teich, Michaela; Tagliavini, Fabrizio; Dainese, Roberta; Cesca, Matteo; D‘Amboise, Christopher; Adams, Marc; Pittore, Massimiliano; ,D3. 3REPORTONCASCADINGEFFECTS OFSTORM-RELATEDLANDCOVER CHANGEONALPINENATURALHAZARDS,,,,,,
    • Kogelbauer, Ilse; Heine, Erwin; D'Amboise, Christopher; Müllebner, Christoph; Sokol, Wolfgang; Loiskandl, Willibald; ,Adaptation of soil physical measurement techniques for the delineation of mud and lakebed sediments at Neusiedler See,Sensors,13,12,17067-17083,2013,Molecular Diversity Preservation International (MDPI)
    • Cocuccioni, Silvia; Renner, Kathrin; Steger, Stefan; D’Amboise, Christopher; Hormes, Anne; Plörer, Matthias; BFW, Michaela Teich; ,D. T3. 2.1 Report on “Preparation for risk analysis and strategy workshops”,,,,,,
    • D'Amboise, Christopher; Neuhauser, Michael; Hormes, Anne; Ploerer, Matthias; Fischer, Jan-Thomas; Teich, Michaela; ,Modelling forest effects on snow avalanche runout with the Flow-Py simulation tool,,,,,2022,Copernicus Meetings
    • D'Amboise, Christopher James Laplante; ,"Development of profile measurements using a frequency domain reflectometry sensor in a soft sludge, and calibration for use in the Neusiedlersee",,,,,2012,na
    • D’Amboise, Christopher James Laplante; Teich, Michaela; Hormes, Anne; Steger, Stefan; Berger, Frédéric; ,Modeling protective forests for gravitational natural hazards and how it relates to risk-based decision support tools,Protective forests as Ecosystem-based solution for Disaster Risk Reduction (ECO-DRR),,,,2021,IntechOpen
    • D'Amboise, Christopher JL; Neuhauser, Michael; Teich, Michaela; Huber, Andreas; Kofler, Andreas; Perzl, Frank; Fromm, Reinhard; Kleemayr, Karl; Fischer, Jan-Thomas; ,"Flow-Py v1. 0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows",Geoscientific Model Development,15,6,2423-2439,2022,Copernicus GmbH
    • Neuhauser, Michael; D'Amboise, Christopher; Teich, Michaela; Fischer, Jan Thomas; ,Flow-Py: Identifying protection forests and their effects on gravitational natural hazard processes on a regional scale,EGU General Assembly Conference Abstracts,,,21938,2020,
    • d'Amboise, Christopher JL; Müller, Karsten; Oxarango, Laurent; Morin, Samuel; Schuler, Thomas V; ,Implementation of a physically based water percolation routine in the Crocus/SURFEX (V7. 3) snowpack model,Geoscientific Model Development,10,9,3547-3566,2017,Copernicus GmbH
    • Cocuccioni, S; Renner, K; Steger, S; D’Amboise, C; Hormes, A; Plörer, M; ,D. T3. 2.1 Report on “Preparation for risk analysis and strategy workshops”[Internet]. 2020,,,,,,
    • D’Amboise, CJL; Žabota, B; Poratelli, F; Pecan, P; Plörer, M; Accastello, C; ,A. T1. 6 Construction of the innovative and new protective forest assessment tool (FAT)[Internet]. 2021,,,,,,
    • D’Amboise, CJL; Neuhauser, M; Teich, M; Huber, A; Kofler, A; Perzl, F; Fromm, R; Fischer, JT; ,"Flow-Py v1. 0: A customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows [working title]",Geoscientific Model Development,,,,,
    • D'Amboise, CJL; Müller, K; Oxarango, L; Morin, S; Schuler, TV; ,"Implementation of a physically based water percolation routine in the Crocus/SURFEX (V7. 3) snowpack model, Geosci. Model Dev., 10, 3547–3566, 10.5194",,,,,2017,gmd-10-3547-2017
    • Neuhauser, M; D’Amboise, CJL; Teich, M; Kofler, A; Huber, A; Fromm, R; ,Flow-Py: routing and stopping of gravitational mass flows (Version 1.0),,,,,2021,Zenodo


    Forskningsinteresser

    Snow science, Avalanche formation, Wet snow avalanches, Slush flows, Rockfall and Landslides.

    Methods that I have used in my research are computer simulations, statistics, snow pit and field measurements, sensor development, drone flights and machine learning.