Climate Change and the Chehalis River. Guillaume Mauger, Se-Yeun Lee, Christina Bandaragoda, Yolande Serra, and Jason Won September 21, 2016

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Transcription:

Climate Change and the Chehalis River Guillaume Mauger, Se-Yeun Lee, Christina Bandaragoda, Yolande Serra, and Jason Won September 21, 2016

Background: General Approach to Climate Impacts Assessment Global Climate Scenarios Regional Climate Scenarios Impacts Modeling Planning and Design 2

All Results and Methods Online Project website Model code, methods Google map https://cig.uw.edu/datasets/ https://www.hydroshare.org 3

Large-scale Drivers of Heavy Rainfall Events 1. Are regional model simulations accurate? 2. Does the spatial distribution of precipitation change? 3. Do the large-scale dynamics change? 4

Large-scale Drivers of Heavy Rainfall Events 1. Are regional model simulations accurate? mm per day 70 60 50 40 30 20 10 Basin Dam 41-yr value 95th Percentile Rain Events 1970-2010 0 NNRP MME ECHAM5 CCSM3 CCSM4 mm per day 35 30 25 20 15 10 5 0-5 Differences from NNRP for 95th Percentile Rain Events 1970-2010 Basin Dam 41-yr value MME ECHAM5 CCSM3 CCSM4 5

Large-scale Drivers of Heavy Rainfall Events 40 mm per day 70 60 50 30 20 95th Percentile Rain Events for 2030-2070 Basin Dam 41-yr value 1. Are regional model simulations accurate? 2. Does the spatial distribution of precipitation change? mm per day count 10 0 20 15 400 10 300 5 0 200-5 100 0 50 40 30 MME ECHAM5 CCSM3 CCSM4 Differences from Historical Period (1970-2010) Basin Dam 41-yr value Number of 95th Percentile Rain Events for 2030-2070 Basin Dam MME ECHAM5 CCSM3 CCSM4 MME ECHAM5 CCSM3 CCSM4 Basin Dam Change in Intensity Change in Frequency Percent Difference from Historical Period (1970-2010) % 20 10 0-10 MME ECHAM5 CCSM3 CCSM4 (98th percentile) 6

Large-scale Drivers of Heavy Rainfall Events 1. Are regional model simulations accurate? 2. Does the spatial distribution of precipitation change? 3. Do the large-scale dynamics change? Water Vapor Wind Future Historical Future Historical Source: Warner et al. 2015 7

Hydrologic Modeling: Updated Methods, Improved Representation of Flows Improved Methods observed new old 8

Flooding: Projected to Increase; Wide Range Among Models Different Hydrologic Models Different Climate Change Inputs 9

Flooding: Uncertainty Is Larger than Differences Among Tributaries Projected Change in 100-year FLOOD for all Bias-Corrected Chehalis streamflow sites 2050s: Average for all sites and all MACA models: rawwrf, SRES A1B bcwrf, SRES A1B bcmaca, RCP 4.5 bcmaca, RCP 8.5 DHSVM VIC DHSVM VIC DHSVM VIC DHSVM VIC min max min max min max min max avg min max avg min max avg min max avg min max ChehalisR-atPorter -28 16 100-year 15 47-33 23= +66% 7 47 20-21 65 52-1 225 40-8 122 76 5 169 ChehalisR-nrDoty -11 34-1 45-15 41 27 29 31-39 102 38-29 211 58-7 135 102-13 368 ChehalisR-nrGrandMound 7 14 28 96-9 34 5 55 27-20 128 54-5 233 66 10 166 88 22 194 10-year = +35% NewaukumR-nrChehalis 49 55 53 128 10 33 53 74 46-15 230 64-14 244 85 40 188 91 14 184 SatsopR-nrSatsop 25 59 48 89 15 19 49 131 44-22 170 71-32 225 13-26 47 26-35 73 SkookumchuckR-blwBldyRunCr -39 19-21 2-year 7-46 20 = +16% -24 24-42 108 46-4 238 56-17 161 65-5 224 SkookumchuckR-nrBucoda -27 1-25 9-46 17-30 3 22-46 105 48-4 196 40-10 111 58-6 169 SkookumchuckR-nrVail -13 2-25 27-41 11-40 3 27-37 135 37-10 199 65 12 131 69-1 233 WynoocheeR-abvBlackCr 54 69 18 45 18 50 16 86 40-21 208 63-24 263 22-15 47 36-31 102 WynoocheeR-abvSaveCr 3 57 47 67-8 43-4 26 21-24 94 42-7 142 22-18 95 35-10 118 WynoocheeR-nrGrisdale Projected 20 36 47 change 87 23 for 25 a high -2 89 greenhouse 27-14 104 31gas -9 scenario 97 24-6 63 24-19 57 Average: All sites 4 33 17 59-12 29 5 51 30-27 132 50-13 207 45-4 115 61-7 172 Average: Key sites (*) 10 35 19 66-9 31 18 61 33-26 144 56-16 228 46-2 117 68-6 180 (RCP 8.5), for 2040 to 2099 relative to 1951 to 2005 KEY: +50%: wetter 0: no change 50%: drier 2080s: rawwrf, SRES A1B bcwrf, SRES A1B bcmaca, RCP 4.5 bcmaca, RCP 8.5 DHSVM VIC DHSVM VIC DHSVM VIC DHSVM VIC min max min max min max min max avg min max avg min max avg min max avg min max ChehalisR-atPorter -- -- -- -- -- -- -- -- 16-35 68 67 6 189 23-21 95 76 11 233 ChehalisR-nrDoty -- -- -- -- -- -- -- -- 37-39 114 82-4 227 36-39 147 82-22 10 207 ChehalisR-nrGrandMound -- -- -- -- -- -- -- -- 24-32 82 71 0 171 41-4 164 79 12 260

Low Flows: Projected to Decrease; Smaller Range 11

Low Flows: Projected to Decrease; Smaller Range Projected Change in 10-year LOW FLOW for all Bias-Corrected Chehalis streamflow sites 2050s: Average for all sites and all MACA models: rawwrf, SRES A1B bcwrf, SRES A1B bcmaca, RCP 4.5 bcmaca, RCP 8.5 DHSVM VIC DHSVM VIC DHSVM VIC DHSVM VIC min max min max min max min max avg min max avg min max avg min max avg min max ChehalisR-atPorter* -22-16 -18-16 -20-15 -3 2-15 -33-9 -5-11 4-13 -27-4 -4-10 2 ChehalisR-nrDoty* -24-24 -20 10-year -19-20 -15 = -7-6%-2-18 -37-3 -3-7 6-17 -36-1 -3-7 1 ChehalisR-nrGrandMound* -24-13 -21-14 -22-13 -3 6-14 -31-3 -5-16 6-13 -29-1 -4-14 4 NewaukumR-nrChehalis* -20-11 -16 2-year -13-21 -12 = -14% 5 6-15 -30-5 1-13 11-17 -33-3 2-11 10 SatsopR-nrSatsop* -33-16 -22-16 -25-14 -13-7 -23-39 -10-14 -21-8 -26-40 -6-15 -24-5 SkookumchuckR-blwBldyRunCr -28-12 -28-15 -28-3 -9 4-17 -45 5-4 -21 20-18 -43 12-2 -19 12 SkookumchuckR-nrBucoda* -17-5 -27-15 -19 0 4 12-12 -37 18-3 -26 15-10 -34 27 2-19 28 SkookumchuckR-nrVail -25-20 -13-12 -22-14 -2-1 -26-44 -7-3 -6-1 -27-51 -2-2 -5 1 WynoocheeR-abvBlackCr* Projected -70-66 -29 change 1-56 for -24 a -18 high 4 greenhouse -47-72 -10-19gas -32 scenario 6-48 -73-21 -17-38 5 WynoocheeR-abvSaveCr -64-39 -29-16 -67-28 -19-13 -61-73 -29-26 -40-15 -65-78 -49-28 -41-9 WynoocheeR-nrGrisdale (RCP -73 8.5), -58-38 for -242040-79 to -47 2069-28 -4relative -66-81 -32 to 1970-27 -41 to -81999-70 -85-58 -31-44 -11 Average: All sites -36-25 -24-14 -34-17 -8 1-29 -47-8 -10-21 3-29 -48-10 -9-21 3 Average: Key sites (*) -30-22 -22-13 -26-13 -5 3-21 -40-3 -7-18 6-21 -39-1 -6-18 6 KEY: +50%: wetter 0: no change 50%: drier 2080s: rawwrf, SRES A1B bcwrf, SRES A1B bcmaca, RCP 4.5 bcmaca, RCP 8.5 DHSVM VIC DHSVM VIC DHSVM VIC DHSVM VIC min max min max min max min max avg min max avg min max avg min max avg min max ChehalisR-atPorter* -- -- -- -- -- -- -- -- -11-19 0-4 -13 4-11 -22 2-5 -14 12 1 ChehalisR-nrDoty* -- -- -- -- -- -- -- -- -14-28 9-4 -9 0-14 -33 0-4 -10 2

Temperature and Humidity: Warmer Year-round, Drier Summers Maximum Minimum Vapor Pressure Temperature Deficit 2.0 15 30 1.5 25 10 20 1.0 15 5 0.5 10 0 Jan Apr Jul Oct 13

Summary Storm dynamics (e.g., wind speeds) are not projected to change, but warming will bring heavier precipitation Flooding is projected to increase Low flows are projected to decrease Models suggest drier conditions in summer New methods have led to improved streamflow estimates, but there remains a large spread among models 14

Questions

Extra Slides The following slides are included as extras for reference during Q&A 16

Background: Creating Regional Climate Scenarios: Downscaling ~100 to 200 km (~60 to 120 mi) resolution ~6 km (~4 mi) resolution Downscaling Relates the Large to the Small 17

Background: Two Approaches to Downscaling Statistical: MACA (Multivariate Adaptive Constructed Analogs) Dynamical: WRF (Weather Research and Forecasting Model) 778 779 780 Empirical approach Physics-based approach Figure 2. 6-hour accumulated precipitation simulated by ECHAM5/WRF for 27 Nov 2030; the left panel shows results for the outer, 36-km domain; right panel the inner, 12-km domain. 18

% Change in 100-year flood Background: Off-the-shelf Results Gave a Wide Range of Answers 2040s, A1B scenario, relative to 1980s Different approaches give very different answers; further refinement is needed 19