2021
DOI: 10.1016/j.oneear.2021.11.011
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Thermokarst acceleration in Arctic tundra driven by climate change and fire disturbance

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Cited by 24 publications
(15 citation statements)
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“…Although wildfires are part of ESMs, our ability to model the precise details of fire regimes is limited (Hantson et al., 2016). Many efforts have been made to build models to simulate the processes and/or effects of coastal erosion (Nielsen et al., 2020), thermokarst development (Chen et al., 2021), wildfires (Descals et al., 2022), and subsea permafrost (Wilkenskjeld et al., 2022). Coupling these processes into ESMs will be helpful to obtain better predictions of Arctic changes and their impacts.…”
Section: Call To Actionmentioning
confidence: 99%
“…Although wildfires are part of ESMs, our ability to model the precise details of fire regimes is limited (Hantson et al., 2016). Many efforts have been made to build models to simulate the processes and/or effects of coastal erosion (Nielsen et al., 2020), thermokarst development (Chen et al., 2021), wildfires (Descals et al., 2022), and subsea permafrost (Wilkenskjeld et al., 2022). Coupling these processes into ESMs will be helpful to obtain better predictions of Arctic changes and their impacts.…”
Section: Call To Actionmentioning
confidence: 99%
“…Therefore, we propose to use Machine Learning (ML), an effective data-driven approach, to estimate GWS changes at a higher spatial resolution by downscaling GRACE-derived GWS changes to model in situ groundwater level variations. ML has been used for solving several non-linear complex problems in geoscience, (e.g., Berner et al (2020); Chen et al (2021); Dramsch (2020); Sun and Scanlon (2019)), as it does not require the knowledge of exact physical relationships between input and response variables. Further, J o u r n a l P r e -p r o o f is thus suitable for empirically modeling complex hydrological processes, such as basin-wide groundwater variations.…”
Section: Introductionmentioning
confidence: 99%
“…Strong evidence points toward an increasing frequency and severity of wildfires throughout the arctic and boreal north (Flannigan et al., 2009; Hanes et al., 2019; Kasischke & Turetsky, 2006; McCarty et al., 2020). Field observations have demonstrated that wildfire can act as a major driver of regional permafrost thaw, with fire contributing toward the expansion of thermokarst (areas where thaw leads to ground subsidence) area in western Canada (Gibson et al., 2018), Alaska (Y. Chen et al., 2021), and Siberia (Yanagiya & Furuya, 2020).…”
Section: Introductionmentioning
confidence: 99%