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Marchenko, Sergey S.

We used the CRU (1950-1959 and 2000-2009) and projected 5-GCM composite (2001-2010, 2051-2060, and 2091-2100) decadal climate forcing, ecotype (Stevens 2001), soil landscape (Clark and Duffy 2006), and snow (unpublished) maps of DENA to model the presence or absence of near-surface permafrost, temperature at the bottom of seasonal freeze-thaw layer and its thickness within DENA. We produced permafrost temperature, and active-layer and seasonally-frozen-layer thickness distribution maps through this modeling effort at a pixel spacing of 28 m. This is an immense improvement over the spatial resolution of existing permafrost maps on any part of Alaska, whether produced through the spatially explicit thermal modeling...
We used the CRU (1950-1959 and 2000-2009) and projected 5-GCM composite (2001-2010, 2051-2060, and 2091-2100) decadal climate forcing, ecotype (Jorgenson et al. 2008), soil landscape (Jorgenson et al. 2008), and snow (unpublished) maps of WRST to model the presence or absence of near-surface permafrost, temperature at the bottom of seasonal freeze-thaw layer and thickness of seasonal freeze-thaw layer within WRST. We produced permafrost temperature and active-layer and seasonally-frozen-layer thickness distribution maps through this modeling effort at a pixel spacing of 28.5 m. This is an immense improvement over the spatial resolution of existing permafrost maps on any part of Alaska, whether produced through the...
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We used the CRU (1950-1959 and 2000-2009) and projected 5-GCM composite (2001-2010, 2051-2060, and 2091-2100) decadal climate forcing, ecotype (Jorgenson et al. 2008), soil landscape (Jorgenson et al. 2008), and snow (unpublished) maps of WRST to model the presence or absence of near-surface permafrost, temperature at the bottom of seasonal freeze-thaw layer and thickness of seasonal freeze-thaw layer within WRST. We produced permafrost temperature and active-layer and seasonally-frozen-layer thickness distribution maps through this modeling effort at a pixel spacing of 28.5 m. This is an immense improvement over the spatial resolution of existing permafrost maps on any part of Alaska, whether produced through the...
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Climate change in the circumpolar region is causing dramatic environmental change that is increasing the vulnerability of infrastructure. We quantified the economic impacts of climate change on Alaska public infrastructure under relatively high and low climate forcing scenarios [representative concentration pathway 8.5 (RCP8.5) and RCP4.5] using an infrastructure model modified to account for unique climate impacts at northern latitudes, including near-surface permafrost thaw. Additionally, we evaluated how proactive adaptation influenced economic impacts on select infrastructure types and developed first-order estimates of potential land losses associated with coastal erosion and lengthening of the coastal ice-free...
We used the CRU (1950-1959 and 2000-2009) and projected 5-GCM composite (2001-2010, 2051-2060, and 2091-2100) decadal climate forcing, ecotype (Stevens 2001), soil landscape (Clark and Duffy 2006), and snow (unpublished) maps of DENA to model the presence or absence of near-surface permafrost, temperature at the bottom of seasonal freeze-thaw layer and its thickness within DENA. We produced permafrost temperature, and active-layer and seasonally-frozen-layer thickness distribution maps through this modeling effort at a pixel spacing of 28 m. This is an immense improvement over the spatial resolution of existing permafrost maps on any part of Alaska, whether produced through the spatially explicit thermal modeling...
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