Details

Title

Modelling of the thermal regime of permafrost during 1990–2014 in Hornsund, Svalbard

Journal title

Polish Polar Research

Yearbook

2016

Numer

No 2

Publication authors

Divisions of PAS

Nauki o Ziemi

Publisher

Polish Academy of Sciences ; Committee on Polar Research

Date

2016

Identifier

ISSN 0138-0338 ; eISSN 2081-8262

References

HumlumO (2003), Permafrost in Svalbard : a review of research history climatic background and engineering challenges, Polar Research, 22, 191, doi.org/10.1111/j.1751-8369.2003.tb00107.x ; KurylykB (2014), Climate change impacts on groundwater and soil temperatures in cold and temperate regions : Implications mathematical theory and emerging simulation tools Earth -, Science Reviews, 138. ; HarrisC (2009), Permafrost and climate in Europe : monitoring and modelling thermal geomorphological and geotechnical responses Earth -, Science Reviews, 92. ; PiotrowskiA (2012), Product - Units neural networks for catchment runoff forecasting Advances in, Water Resources, 49. ; MarszA (2013), and Repelewska b Influence of meteorological elements on changes in active - layer thickness in the Bellsund region Permafrost and, Periglacial Processes, 24, 304, doi.org/10.1002/ppp.1790 ; RachlewiczG (2008), Changes in thermal structure of permafrost active layer in a dry polar climate, Polish Polar Research, 29, 261. ; LeszkiewiczJ (2004), The thermal condition of the active layer in the permafrost at Hornsund, Polish Polar Research, 25, 223. ; RuanoM (2012), An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors Environmental Modelling &, Software, 37, 103. ; Myers (2015), and Methods for measuring Arctic and Alpine shrub growth review Earth -, Science Reviews, 140. ; DolnickiP (2013), Variability of temperature and thickness of permafrost active layer at coastal sites of Svalbard, Polish Polar Research, 34, 353. ; CampolongoF (2011), From screening to quantitative sensitivity analysis A unified approach Computer Physics, Commuications, 182. ; BaranowskiS (1968), Thermic conditions of the periglacial tundra in SW Spitsbergen Acta Universitatis in Polish, Wratislaviensis, 68. ; DasS (2009), Differential evolution using a neighbourhood - based mutation operator on, IEEE Transactions Evolutionary Computation, 13, 526, doi.org/10.1109/TEVC.2008.2009457 ; SzymańskiW (2013), Distribution genesis and properties of Arctic soils : a case study from the Fuglebekken catchment, Polish Polar Research, 34, 289. ; NashJ (1970), River flow forecasting through conceptual models part I A discussion of principles, Journal of Hydrology, 10, 282, doi.org/10.1016/0022-1694(70)90255-6 ; HommaT (1996), Importance measures in global sensitivity analysis of nonlinear models Reliability Engineering & System, Safety, 52, 1. ; SobolI (2001), Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates Mathematics and Computers in, Simulation, 55, 271. ; MiętusM (1988), Annual variation of soil temperature at Polar Station in Hornsund, Polish Polar Research, 9, 95. ; LuksB (2011), The relationship between snowpack dynamics and NAO / AO indices in SW Spitsbergen Physics and Chemistry of the, Earth, 36, 646. ; ChristiansenH (2010), The Thermal State of Permafrost in the Nordic area during the International Polar Year and, Permafrost Periglacial Processes, 21, 156. ; HermanJ (2013), Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models and, Hydrology Earth System Sciences, 17, 2893, doi.org/10.5194/hess-17-2893-2013 ; IsaksenK (2007), Recent warming of mountain permafrost in Svalbard and Scandinavia of ,, Journal Geophysical Research Earth Surface, 112, doi.org/10.1029/2006JF000522 ; MoeB (2009), Climate change and phenological responses of two seabird species breeding in the high - Arctic, Marine Ecology Progress Series, 393. ; MorrisM (1991), Factorial Sampling Plans for Preliminary Computational Experiments, Technometrics, 33, 161, doi.org/10.1080/00401706.1991.10484804 ; SaltelliA (2002), Making best use of model evaluations to compute sensitivity indices, Computer Physics Communications, 145. ; SobotaI (2014), Changes in the dynamics and thermal regime of the permafrost and active layer of the High Arctic coastal area in north - west Spitsbergen Geografiska Annaler : Series A ,, Physical Geography, 96, 227. ; ArcherG (1997), Sensitivity measures like techniques and the use of bootstrap of Computation and, Journal Statistical Simulation, 58. ; JahnA (1982), Soil thawing and active layer of permafrost Results of investigations of Polish Scientific Spitsbergen Expedition Universitatis, Acta Wratislaviensis, 4, 525.

DOI

10.1515/popore-2016-0013

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