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- > The 50th Anniversary of the First International Conference on Permafrost and Beyond (supprimer)
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Par Collection Par Auteur- BROWN, J., (Editeur scientifique) (2)
- FROLOV, S.V. (1)
- RENSSEN, H. (1)
- ROCHE, D.M. (1)
- SITAR, K.A. (1)
- VAN BALEN, R.T. (1)
- VANDENBERGHE, J. (1)
- GALUSHKIN, Y.I. (1)
- KITOVER, D.C. (1)
- 2013 (2)
- Air temperature ; Deglaciation ; Eurasia ; Model ; Numerical model ; Periglacial features ; Permafrost (1)
- Asian part of Russia ; Cold area ; Heat flow ; Model ; Numerical model ; Palaeoclimate ; Periglacial features ; Permafrost ; Siberia ; Temperature (1)
- Deglaciación ; Eurasia ; Modelo ; Modelo numérico ; Pergelisol ; Periglaciar ; Temperatura del aire (1)
- Déglaciation ; Eurasie ; Modèle ; Modèle numérique ; Pergélisol ; Périglaciaire ; Température de l'air (1)
- Flujo térmico ; Modelo ; Modelo numérico ; Paleoclima ; Pergelisol ; Periglaciar ; Rusia de Asia ; Siberia ; Temperatura ; Zona fría (1)
- Flux thermique ; Modèle ; Modèle numérique ; Paléoclimat ; Pergélisol ; Périglaciaire ; Russie d'Asie ; Sibir' ; Température ; Zone froide (1)
- The 50th Anniversary of the First International Conference on Permafrost and Beyond (2)
- Basin modelling of temperature and heat flow distributions and permafrost evolution, Urengoy and Kuyumbinskaya areas, Siberia (1)
- New estimates of permafrost evolution during the last 21 kyears in Eurasia using numerical modelling (1)
- Basin modelling of temperature and heat flow distributions and permafrost evolution, Urengoy and Kuyumbinskaya areas, Siberia
- Asian part of Russia ; Cold area ; Heat flow ; Model ; Numerical model ; Palaeoclimate ; Periglacial features ; Permafrost ; Siberia ; Temperature
- Flujo térmico ; Modelo ; Modelo numérico ; Paleoclima ; Pergelisol ; Periglaciar ; Rusia de Asia ; Siberia ; Temperatura ; Zona fría
New estimates of permafrost evolution during the last 21 kyears in Eurasia using numerical modelling
- model as the surface forcing. In Central and West Siberia, the simulated LGM permafrost thicknesses agree well with previous estimates. The LGM and present-day estimates for South Russia are underestimated, which is likely due to a highly simplified land