Flooding in Norway under a near - future 2021-2050 climate: Rainfall vs.
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Flooding in Norway under a near future 2021-2050 climate: Rainfall vs. snowmelt floods and their uncertainties Deborah Lawrence1, Torill Engen-Skaugen2, Lars Roald1, Gusong Ruan1, Stein Beldring1 1Norwegian Water Resources and Energy Directorate (NVE) 2 Norwegian Meteorological Institute (met.no)
Climate change impacts on flooding and their uncertainties Demand for information regarding climate change impacts on flood frequency for use in adaptation (dam safety, transport, areal planning) Differing climate scenarios, models and methods can produce dissimilar results: How can these be summarised and used in practical applications? ⇒ Ensemble methodology for analysing hydrological projections and their uncertainties
Some factors contributing to flooding in Norway which are likely to be impacted by climate change: Runoff from rainfall and/or snowmelt Hønefossen, May, 2008; Photo:NVE Intense precipitation in localised areas Manndalen, May, 2010; Photo: NVE Excess rainfall in areas with limited infiltration Photo: NVE
Modelling chain for hydrological impact projections SRES Emission scenario Global climate model Regional climate model Adjustment of P,T to local 1 x1 km grid Hydrological models Flood frequency estimation
140 140 120 mm/måned 120 mm/måned 100 100 80 80 60 60 40 20 00 jan feb jan feb mar mar apr apr mai mai jun jun jul jul aug sep sep okt okt nov des 55550 Hafslo 55550 Hafslo 54130 Lærdal
Ensemble approach for probabilistic hydrological projections 3 GCM/RCMs (with SRES A1B emissions) Echam5/HIRHAM5 BCM/RCA3 HadCM3Qref/HIRHAM 2 Methods for transferring RCM output to 1 x 1 km grid Delta change Empirical adjustment method (met.no) 25 calibrated hydrological models for 115 catchments Flood frequency analysis for 200-year flood Catchment areas from 3 to 15,000 km2 ⇒ Construct pdfs from 150 results for each catchment
Flood frequency estimation applied to annual maximum flood series Viksvatn (Hestadfjord) - 83.2 IS92a ECHAM4/OPYC3 NorClim/HIRHAM 25x25 km 'Empirical Adjustment' to 1 x 1 km 900 850 1981-2010 GEV from annual max series 800 2021-2050 GEV from annual max series Peak daily discharge (m3/s) 750 700 2021 - 2050 Annual maximum series 650 1981 - 2010 Annual maximum series 600 % change in 550 2021-2050 30-year flood 200-year 500 450 flood 400 350 X X 300 250 200 150 1981-2010 100 200-year flood 1 10 100 1000 Return period (years)
Projected change in 200-yr. flood between 1961-1990 and 2021-2050 Median of 90th percentile 150 models of 150 models Change (%) Change (%)
Uncertainty – Relative magnitude of sampled sources Downscaling method 100 Percentage below given value 90 Delta change 80 70 Empirical adjustment 60 50 40 30 20 Uncertainty source 10 0 with largest magnitude: 15 17 19 21 23 25 Mean annual peak runoff (mm/day) GCM/RCM Percentage change in 200-year flood EA/DC • Differences in GCM/RCM HBV parameter tend to be more significant in inland and northern areas N = 115 GCM/RCM = 50 • Western Norway dominated EA/DC = 38 HBV = 27 by uncertainty from HBV and methods for adjusting P, T
Uncertainty from flood frequency analysis relative to model uncertainty Viksvatn - 83.2 A1B HadCM3Qref/HIRHAM (25 x 25 km) 'Empirical Adjustment' til 1 x 1 km 900 850 1961-1990 Gumbel 800 2021-2050 Gumbel Peak daily discharge (m3/s) 750 700 2021 - 2050 annual maxima 650 1961 - 1990 annual maxima Model uncertainty 600 550 500 X 450 400 350 X 300 250 35% increase 200 in 200-year 150 flood 100 1 10 100 1000 Return period (years)
Seasonal analysis - Rainfall-induced peak flows in annual maximum series Red – Type 1: > 67% of annual maximum in mar-july (snowmelt dominance) Green – Type 2: 34 – 66% (transitional) Blue – Type 3: < 33% (rainfall dominance) 1961 - 1990 2021-2050 ⇒ Change towards increasing occurrence of autumn/winter peak flows in annual series
Relative magnitude of rainfall- induced peak flows in annual series Ratio of Max (Aug – Feb) Max (all months) 1961 - 1990 2021-2050 ⇒Largest peak flow in some ’snowmelt’ areas is actually an autumn/winter rainfall flood
Projected increase in probable maximum precipitation (PMP) Median of three scenarios Percentage change in PMP between 1961-1990 and 2021-2050
Further comments •Ensemble approach is an effective method for summarising hydrological projections and the relative contributions of uncertainty sources •Only ’sampled’ uncertainties are represented, and other factors should not be disregarded Implications for dam safety analyses in Norway: •Flood frequency analysis indicates regions of increase vs. reduction in low frequency events •Change of seasonality can have implications for the season considered in the flood calculations •PMP is projected to increase in all regions, so that PMF estimated with event-based modelling can be expected to increase
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