climate model uncertainty
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2019 ◽  
Vol 40 (6) ◽  
pp. 1631-1653 ◽  
Author(s):  
Mark Carson ◽  
Kewei Lyu ◽  
Kristin Richter ◽  
Mélanie Becker ◽  
Catia M. Domingues ◽  
...  

2017 ◽  
Vol 5 (3) ◽  
pp. 337-353 ◽  
Author(s):  
Amy Dale ◽  
Charles Fant ◽  
Kenneth Strzepek ◽  
Megan Lickley ◽  
Susan Solomon

2016 ◽  
Vol 10 (1) ◽  
pp. 341-358 ◽  
Author(s):  
D. R. Harp ◽  
A. L. Atchley ◽  
S. L. Painter ◽  
E. T. Coon ◽  
C. J. Wilson ◽  
...  

Abstract. The effects of soil property uncertainties on permafrost thaw projections are studied using a three-phase subsurface thermal hydrology model and calibration-constrained uncertainty analysis. The null-space Monte Carlo method is used to identify soil hydrothermal parameter combinations that are consistent with borehole temperature measurements at the study site, the Barrow Environmental Observatory. Each parameter combination is then used in a forward projection of permafrost conditions for the 21st century (from calendar year 2006 to 2100) using atmospheric forcings from the Community Earth System Model (CESM) in the Representative Concentration Pathway (RCP) 8.5 greenhouse gas concentration trajectory. A 100-year projection allows for the evaluation of predictive uncertainty (due to soil property (parametric) uncertainty) and the inter-annual climate variability due to year to year differences in CESM climate forcings. After calibrating to measured borehole temperature data at this well-characterized site, soil property uncertainties are still significant and result in significant predictive uncertainties in projected active layer thickness and annual thaw depth-duration even with a specified future climate. Inter-annual climate variability in projected soil moisture content and Stefan number are small. A volume- and time-integrated Stefan number decreases significantly, indicating a shift in subsurface energy utilization in the future climate (latent heat of phase change becomes more important than heat conduction). Out of 10 soil parameters, ALT, annual thaw depth-duration, and Stefan number are highly dependent on mineral soil porosity, while annual mean liquid saturation of the active layer is highly dependent on the mineral soil residual saturation and moderately dependent on peat residual saturation. By comparing the ensemble statistics to the spread of projected permafrost metrics using different climate models, we quantify the relative magnitude of soil property uncertainty to another source of permafrost uncertainty, structural climate model uncertainty. We show that the effect of calibration-constrained uncertainty in soil properties, although significant, is less than that produced by structural climate model uncertainty for this location.


2015 ◽  
Vol 85 ◽  
pp. 14-26 ◽  
Author(s):  
Vassilis Glenis ◽  
Valentina Pinamonti ◽  
Jim W Hall ◽  
Chris G Kilsby

2015 ◽  
Vol 19 (9) ◽  
pp. 3891-3901 ◽  
Author(s):  
T. O. Sonnenborg ◽  
D. Seifert ◽  
J. C. Refsgaard

Abstract. Projections of climate change impact are associated with a cascade of uncertainties including in CO2 emission scenarios, climate models, downscaling and impact models. The relative importance of the individual uncertainty sources is expected to depend on several factors including the quantity that is projected. In the present study the impacts of climate model uncertainty and geological model uncertainty on hydraulic head, stream flow, travel time and capture zones are evaluated. Six versions of a physically based and distributed hydrological model, each containing a unique interpretation of the geological structure of the model area, are forced by 11 climate model projections. Each projection of future climate is a result of a GCM–RCM model combination (from the ENSEMBLES project) forced by the same CO2 scenario (A1B). The changes from the reference period (1991–2010) to the future period (2081–2100) in projected hydrological variables are evaluated and the effects of geological model and climate model uncertainties are quantified. The results show that uncertainty propagation is context-dependent. While the geological conceptualization is the dominating uncertainty source for projection of travel time and capture zones, the uncertainty due to the climate models is more important for groundwater hydraulic heads and stream flow.


2015 ◽  
Vol 12 (4) ◽  
pp. 4353-4385 ◽  
Author(s):  
T. O. Sonnenborg ◽  
D. Seifert ◽  
J. C. Refsgaard

Abstract. Projections of climate change impact are associated with a cascade of uncertainties including CO2 emission scenario, climate model, downscaling and impact model. The relative importance of the individual uncertainty sources is expected to depend on several factors including the quantity that is projected. In the present study the impacts of climate model uncertainty and geological model uncertainty on hydraulic head, stream flow, travel time and capture zones are evaluated. Six versions of a physically based and distributed hydrological model, each containing a unique interpretation of the geological structure of the model area, are forced by 11 climate model projections. Each projection of future climate is a result of a GCM-RCM model combination (from the ENSEMBLES project) forced by the same CO2 scenario (A1B). The changes from the reference period (1991–2010) to the future period (2081–2100) in projected hydrological variables are evaluated and the effects of geological model and climate model uncertainties are quantified. The results show that uncertainty propagation is context dependent. While the geological conceptualization is the dominating uncertainty source for projection of travel time and capture zones, the uncertainty on the climate models is more important for groundwater hydraulic heads and stream flow.


2014 ◽  
Vol 128 (1-2) ◽  
pp. 113-126 ◽  
Author(s):  
A. E. Harding ◽  
M. Rivington ◽  
M. J. Mineter ◽  
S. F. B. Tett

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