13 March: EES seminar by Dr. Thorben Dunse and Dr. Sebastian Westermann

研究院アワー（EES seminar）を下記の通り開催します。
皆様のご参加をお待ちしております。

Date: 13 March 2015 (Fri) 15:30- 17:30
Place: 環境科学院/地球環境科学研究院 D103
D103, Graduate School of Environmental Science

Chair: 石川守（統合環境科学部門）, 杉山慎（低温科学研究所）
Mamoru Ishikawa (EES), Shin Sugiyama (ILTS)

(1) Dr. Thorben Dunse (University of Oslo, Norway)
A surge of the Austfonna ice cap, Svalbard, promoted by a
hydro-thermodynamic feedback to summer melt

(2) Dr. Sebastian Westermann (University of Oslo, Norway)
Permafrost mapping using satellite data

問い合わせ先
石川守(mishi@ees.hokudai.ac.jp, 2221)
杉山慎(sugishin@lowtem.hokudai.ac.jp, 7441)
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(1) A surge of the Austfonna ice cap, Svalbard, promoted by a hydro-thermodynamic feedback to summer melt
Speaker: Dr. Thorben Dunse (University of Oslo, Norway)
Abstract:
Dynamic feedback processes have the potential to significantly alter glacier response to climate change. Here we present continuous GPS measurements and satellite synthetic-aperture radar-based velocity maps from Basin-3, the largest drainage basin of the Austfonna ice cap, Svalbard. Our observations demonstrate strong links between surface-melt and multiannual ice-flow acceleration that culminated in a large-scale dynamic instability, termed glacier surge. The resulting iceberg discharge and the seawater displacement by the terminus advance highlight the importance of dynamic mass loss for glacier mass balance and sea-level rise.

(2) Permafrost mapping using satellite data
Speaker: Dr. Sebastian Westermann (University of Oslo, Norway)
Abstract:
Permafrost is a subsurface phenomenon which can not directly measured by remote sensing technologies. Up to now, remote sensing of permafrost has therefore been restricted to the interpretation of surface information obtained from satellites, such as vegetation, surface characteristics or surface motion. We present a new approach which employs remote sensing data as input for subsurface thermal models and can hence deliver the physical variables characterizing the ground thermal state, in particular ground temperature. We present and assess different modeling schemes, which can be used to map permafrost from local to global scale.