IMPACTS OF CLIMATE CHANGE ON THE DISCHARGE OF CATCHMENTS

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Presentation transcript:

IMPACTS OF CLIMATE CHANGE ON THE DISCHARGE OF CATCHMENTS Introduction to project Supplementary material Encyclopedia of Water: Science, Technology, and Society Chapter: Hydrological climate change impact modeling

About this project: You will use HBV Light You will perform your analysis on the catchment provided We expect that you spend ~10 hours on this project HBV Light: (Seibert, J., and M. J. P. Vis, 2012: Teaching hydrological modeling with a user-friendly catchment-runoff-model software package. Hydrol. Earth Syst. Sci.,16, 3315–3325, doi:10.5194/hess-16-3315-2012.)

Files provided by instructor: PTQ.txt: The PTQ-file contains time series of precipitation [mm/day], temperature [°C] and discharge [mm/day]. T_mean.txt: The T_mean-file contains the long-term values for temperature [°C]. EVAP.txt: The EVAP-file contains values for the potential evaporation [mm/day]. Parameter.xml: The parameter-file specifies parameter values to be applied to the catchment. Clarea.xml: The clarea-file contains catchment setting information including number of elevation zones, vegetations zones as well as height increment variables. ΔT and ΔP: Delta factors for temperature and precipitation should either be provided by your instructor or literature should be provided where these values can be found. Climatechange_project.R: R-file contains script that analyzes output from HBV and plots it. You will need to update this script with your own file paths and to expand upon the basic analysis within the file. These files should be provided by the instructor. The delta T and P values can either be provided by literature or the instructor can provide.

Tasks: Introduce catchment Choose one calibration method - Hydrological regime (e.g. annual discharge cycle, precipitation cycle, etc.) Choose one calibration method Manual calibration Monte-Carlo calibration = automatic calibration Genetic algorithm (GAP) = automatic calibration Simulation under present climate Observed vs. simulated discharge Simulation under climate change

Delta Change Method: For example, consider the future period 2085-2100: Historical Future Scenario 1 Scenario 1 Scenario 3 1980 2009 2035 2060 2085 2100 Scenario 3 Historical 1980 2009 2035 2060 2085 2100 J F M A M J J A S O N D = +3 °C increase for MAM (since historical period) = +1 °C increase for MAM (since historical period)

Discharge projections: Delta Change Method: Tfuture = Tobserved + Δ T Region 1 Region 2 Region 3 Scenario 1 4 4 4 Temperature change [°C] 2 2 2 J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D Scenario 2 Climate Scenario Scenario 1 Scenario 2 Scenario 3 Description Non-intervention scenario with high fossil fuel emissions Some carbon mitigation Strong carbon mitigation 4 4 4 Temperature change [°C] 2 2 2 Tell students to find Δ T values for their catchment or region or the values can be provided by the instructor. See Fischer et al., 2012 figures 9 and 10 for an example of delta values for different regions in Switzerland. J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D Scenario 3 4 4 4 Temperature change [°C] 2 2 2 See Fisher et al., 2012 (Figures 9 & 10 for example): J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D Fischer, A.M., Weigel, A.P., Buser, C.M., Knutti, R., Künsch, H.R., Liniger, M.A., Schär, C. and Appenzeller, C., 2012: Climate change projections for Switzerland based on a Bayesian multi-model approachInt. J. Climatol. 32, 2348–2371.

Discharge projections: Delta Change Method: Pfuture = Pobserved * Δ P Region 1 Region 2 Region 3 Scenario 1 10 10 10 Precipitation change [%] -10 -10 -10 -30 -30 -30 J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D Scenario 2 Climate Scenario Scenario 1 Scenario 2 Scenario 3 Description Non-intervention scenario with high fossil fuel emissions Some carbon mitigation Strong carbon mitigation 10 10 10 Precipitation change [%] -10 -10 -10 Tell student to find Δ P values for their catchment or region or the values can be provided by the instructor. See Fischer et al., 2012 figures 9 and 10 for an example of delta values for different regions in Switzerland. -30 -30 -30 J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D Scenario 3 10 10 10 Precipitation change [%] -10 -10 -10 -30 -30 -30 See Fisher et al., 2012 (Figures 9 & 10 for example): J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D Fischer, A.M., Weigel, A.P., Buser, C.M., Knutti, R., Künsch, H.R., Liniger, M.A., Schär, C. and Appenzeller, C., 2012: Climate change projections for Switzerland based on a Bayesian multi-model approachInt. J. Climatol. 32, 2348–2371.

Simulation under climate change: Compare the annual cycles Relate changes to hydrological processes Go beyond the annual cycle Seasonal variation Maximum yearly discharge Number of days with a discharge lower (higher) than the 10% or 90% quantile Other ideas!

Evaluation criteria: Topics Elements Comment Maximum score Score Project Catchment description 3 Catchment calibration, validation and simulation under present climate 6 Discharge projections Beyond the seasonal cycle 4 Discussion 8 Personal contributions 1 Graphics style, axis, readability 2 Total 30