Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires

We present an analysis of different sources of impact model uncertainty and combine this with probabilistic projections of climate change. Climatic envelope models describing the spatial distribution of palsa mires (mire complexes with permafrost peat hummocks) in northern Fennoscandia were calibrat...

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Main Authors: S. Fronzek, T. R. Carter, M. Luoto
Format: Article
Language:English
Published: Copernicus Publications 2011-11-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/11/2981/2011/nhess-11-2981-2011.pdf
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spelling doaj-7529984ea3d948b3b646ff60ee76716d2020-11-24T23:50:58ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812011-11-0111112981299510.5194/nhess-11-2981-2011Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa miresS. FronzekT. R. CarterM. LuotoWe present an analysis of different sources of impact model uncertainty and combine this with probabilistic projections of climate change. Climatic envelope models describing the spatial distribution of palsa mires (mire complexes with permafrost peat hummocks) in northern Fennoscandia were calibrated for three baseline periods, eight state-of-the-art modelling techniques and 25 versions sampling the parameter uncertainty of each technique – a total of 600 models. The sensitivity of these models to changes in temperature and precipitation was analysed to construct impact response surfaces. These were used to assess the behaviour of models when extrapolated into changed climate conditions, so that new criteria, in addition to conventional model evaluation statistics, could be defined for determining model reliability. Impact response surfaces were also combined with climate change projections to estimate the risk of areas suitable for palsas disappearing during the 21st century. Structural differences in impact models appeared to be a major source of uncertainty, with 60% of the models giving implausible projections. Generalized additive modelling (GAM) was judged to be the most reliable technique for model extrapolation. Using GAM, it was estimated as <i>very likely</i> (>90% probability) that the area suitable for palsas is reduced to less than half the baseline area by the period 2030–2049 and as <i>likely</i> (>66% probability) that the entire area becomes unsuitable by 2080–2099 (A1B emission scenario). The risk of total loss of palsa area was reduced for a mitigation scenario under which global warming was constrained to below 2 °C relative to pre-industrial climate, although it too implied a considerable reduction in area suitable for palsas.http://www.nat-hazards-earth-syst-sci.net/11/2981/2011/nhess-11-2981-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Fronzek
T. R. Carter
M. Luoto
spellingShingle S. Fronzek
T. R. Carter
M. Luoto
Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
Natural Hazards and Earth System Sciences
author_facet S. Fronzek
T. R. Carter
M. Luoto
author_sort S. Fronzek
title Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
title_short Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
title_full Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
title_fullStr Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
title_full_unstemmed Evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
title_sort evaluating sources of uncertainty in modelling the impact of probabilistic climate change on sub-arctic palsa mires
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2011-11-01
description We present an analysis of different sources of impact model uncertainty and combine this with probabilistic projections of climate change. Climatic envelope models describing the spatial distribution of palsa mires (mire complexes with permafrost peat hummocks) in northern Fennoscandia were calibrated for three baseline periods, eight state-of-the-art modelling techniques and 25 versions sampling the parameter uncertainty of each technique – a total of 600 models. The sensitivity of these models to changes in temperature and precipitation was analysed to construct impact response surfaces. These were used to assess the behaviour of models when extrapolated into changed climate conditions, so that new criteria, in addition to conventional model evaluation statistics, could be defined for determining model reliability. Impact response surfaces were also combined with climate change projections to estimate the risk of areas suitable for palsas disappearing during the 21st century. Structural differences in impact models appeared to be a major source of uncertainty, with 60% of the models giving implausible projections. Generalized additive modelling (GAM) was judged to be the most reliable technique for model extrapolation. Using GAM, it was estimated as <i>very likely</i> (>90% probability) that the area suitable for palsas is reduced to less than half the baseline area by the period 2030–2049 and as <i>likely</i> (>66% probability) that the entire area becomes unsuitable by 2080–2099 (A1B emission scenario). The risk of total loss of palsa area was reduced for a mitigation scenario under which global warming was constrained to below 2 °C relative to pre-industrial climate, although it too implied a considerable reduction in area suitable for palsas.
url http://www.nat-hazards-earth-syst-sci.net/11/2981/2011/nhess-11-2981-2011.pdf
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