Technical Papers
Mar 27, 2019

Transforming Global Climate Model Precipitation Output for Use in Urban Stormwater Applications

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 6

Abstract

Statistically downscaled global climate model (GCM) precipitation output is available for Philadelphia, but the temporal resolution is too low for direct use in model-based urban stormwater applications. Additionally, GCM output for Philadelphia does not accurately represent local storm intensities and durations. To address these limitations, this study presents an innovative approach employed by the Philadelphia Water Department (PWD) to transform GCM output into actionable science that can directly inform planning, design, and engineering applications, including hydrologic and hydraulic (H&H) modeling and intensity-duration-frequency curve development. This approach uses GCM output for current (1995–2015) and future (2080–2100) conditions under a certain greenhouse gas emission trajectory to develop delta change factors based on season and storm size. These factors are then used to create a plausible future hourly time series. A stochastic generator was also developed that utilizes the adjusted future time series to explore potential variability in projected precipitation patterns. The approach presented in this study is practical and transferable, addressing the need for actionable climate change information in the field of water resource management.

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Acknowledgments

The authors acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and thank the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output. For CMIP the US Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.

References

Acharya, N., A. Frei, J. Chen, L. DeCristofaro, and E. Owens. 2017. “Evaluating stochastic precipitation generators for climate change impact studies of New York City’s primary water supply.” J. Hydrometeorol. 18 (3): 879–896. https://doi.org/10.1175/JHM-D-16-0169.1.
Alam, M. S., and A. Elshorbagy. 2015. “Quantification of the climate change-induced variations in intensity–duration–frequency curves in the Canadian Prairies.” J. Hydrol. 527: 990–1005. https://doi.org/10.1016/j.jhydrol.2015.05.059.
AlHassoun, S. A. 2011. “Developing an empirical formulae to estimate rainfall intensity in Riyadh region.” J. King Saud Univ. Eng. Sci. 23 (2): 81–88. https://doi.org/10.1016/j.jksues.2011.03.003.
Arnbjerg-Nielsen, K., P. Willems, J. Olsson, S. Beecham, A. Pathirana, I. Bülow Gregersen, H. Madsen, and V.-T.-V. Nguyen. 2013. “Impacts of climate change on rainfall extremes and urban drainage systems: A review.” Water Sci. Technol. J. Int. Assoc. Water Pollut. Res. 68 (1): 16–28. https://doi.org/10.2166/wst.2013.251.
Beier, P., L. J. Hansen, L. Helbrecht, and D. Behar. 2017. “A how-to guide for coproduction of actionable science.” Conserv. Lett. 10 (3): 288–296. https://doi.org/10.1111/conl.12300.
Brekke, L., A. Wood, and T. Pruitt. 2014. “Downscaled CMIP3 and CMIP5 climate and hydrology projections: Release of hydrology projections, comparison with preceding information, and summary of user needs.” US Dept. of Interior, Bureau of Reclamation, Technical Services Center. Accessed November 8, 2017. https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/downscaled_climate.pdf.
Cash, D., W. N. Adger, F. Berkes, P. Garden, L. Lebel, P. Olsson, L. Pritchard, and O. Young. 2006. “Scale and cross-scale dynamics: Governance and information in a multilevel world.” Ecol. Soc. 11 (2): 1–12. https://doi.org/10.5751/ES-01759-110208.
Cheng, L., and A. AghaKouchak. 2014. “Nonstationary precipitation intensity-duration-frequency curves for infrastructure design in a changing climate.” Sci. Rep. 4 (1): 7093. https://doi.org/10.1038/srep07093.
Cowpertwait, P. S. P., C. G. Kilsby, and P. E. O’Connell. 2002. “A space-time Neyman-Scott model of rainfall: Empirical analysis of extremes.” Water Resour. Res. 38 (8): 6-1–6-14. https://doi.org/10.1029/2001WR000709.
Cox, D. R., and H. D. Miller. 1977. The theory of stochastic processes: Methuen’s monographs on applied probability and statistics. New York: Taylor & Francis.
Dilling, L., and M. C. Lemos. 2011. “Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy.” Global Environ. Change 21 (2): 680–689. https://doi.org/10.1016/j.gloenvcha.2010.11.006.
Fowler, H. J., S. Blenkinsop, and C. Tebaldi. 2007. “Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling.” Int. J. Climatol. 27 (12): 1547–1578. https://doi.org/10.1002/joc.1556.
Guo, D., S. Westra, and H. R. Maier. 2018. “An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies.” J. Hydrol. 556: 877–890. https://doi.org/10.1016/j.jhydrol.2016.03.025.
Gyawali, R., J. Garbrecht, and J. Zhang. 2016. “Suitability of global circulation model downscaled BCCA daily precipitation for local hydrologic applications.” J. Hydrol. Eng. 21 (12): 06016014. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001452.
Harris, C. N. P., A. D. Quinn, and J. Bridgeman. 2014. “The use of probabilistic weather generator information for climate change adaptation in the UK water sector.” Meteorol. Appl. 21 (2): 129–140. https://doi.org/10.1002/met.1335.
Kilsby, C. G., P. D. Jones, A. Burton, A. C. Ford, H. J. Fowler, C. Harpham, P. James, A. Smith, and R. L. Wilby. 2007. “A daily weather generator for use in climate change studies.” Environ. Modell. Software 22 (12): 1705–1719. https://doi.org/10.1016/j.envsoft.2007.02.005.
Kirchhoff, C. J. 2013. “Understanding and enhancing climate information use in water management.” Clim. Change 119 (2): 495–509. https://doi.org/10.1007/s10584-013-0703-x.
Lee, T., and C. Jeong. 2014. “Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios.” J. Hydrol. 510: 182–196. https://doi.org/10.1016/j.jhydrol.2013.12.027.
Lemos, M. C., and B. J. Morehouse. 2005. “The co-production of science and policy in integrated climate assessments.” Global Environ. Change 15 (1): 57–68. https://doi.org/10.1016/j.gloenvcha.2004.09.004.
Malter, S., J. Rockwell, and M. Maimone. 2017. “Climate change and precipitation: Applying global climate model projections to local precipitation time series data in Philadelphia.” In Proc., World Environmental and Water Resources Congress 2017. Reston, VA: ASCE.
Maraun, D., et al. 2010. “Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user.” Rev. Geophys. 48 (3): 1–34. https://doi.org/10.1029/2009RG000314.
Olsson, J., K. Berggren, M. Olofsson, and M. Viklander. 2009. “Applying climate model precipitation scenarios for urban hydrological assessment: A case study in Kalmar City, Sweden.” Atmos. Res. 92 (3): 364–375. https://doi.org/10.1016/j.atmosres.2009.01.015.
Onof, C., R. E. Chandler, A. Kakou, P. Northrop, H. S. Wheater, and V. Isham. 2000. “Rainfall modelling using poisson-cluster processes: A review of developments.” Stochastic Environ. Res. Risk Assess. 14 (6): 384–411. https://doi.org/10.1007/s004770000043.
Panaou, T., A. Tirusew, and M. H. Nachabe. 2018. “Keeping us honest: Examining climate states and transition probabilities of precipitation projections in general circulation models.” J. Water Resour. Plann. Manage. 144 (4): 04018008. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000910.
Philadelphia Office of Sustainability and ICF International. 2015. “Growing stronger: Toward a climate-ready Philadelphia.” Accessed November 8, 2017. https://beta.phila.gov/media/20160504162056/Growing-Stronger-Toward-a-Climate-Ready-Philadelphia.pdf.
Philadelphia Water Department. 2009. “Philadelphia combined sewer overflow long term control plan update (LTCPU): Supplemental documentation volume 5, precipitation analaysis.” Accessed November 8, 2017. http://www.phillywatersheds.org/ltcpu/Vol05_Precip.pdf.
Reclamation. 2013. Downscaled CMIP3 and CMIP5 climate and hydrology projections: Release of downscaled CMIP5 climate projections, comparison with preceding information, and summary of user need, 47. Denver: US Dept. of the Interior, Bureau of Reclamation, Technical Services Center.
Rodríguez-Iturbe, I., B. Febres de Power, and J. B. Valdés. 1987. “Rectangular pulses point process models for rainfall: Analysis of empirical data.” J. Geophys. Res. Atmos. 92 (D8): 9645–9656. https://doi.org/10.1029/JD092iD08p09645.
Schaarup-Jensen, K., M. R. Rasmussen, and S. Thorndahl. 2009. “To what extent does variability of historical rainfall series influence extreme event statistics of sewer system surcharge and overflows?” Water Sci. Technol. J. Int. Assoc. Water Pollut. Res. 60 (1): 87–95. https://doi.org/10.2166/wst.2009.290.
Semadeni-Davies, A., C. Hernebring, G. Svensson, and L.-G. Gustafsson. 2008. “The impacts of climate change and urbanisation on drainage in Helsingborg, Sweden: Combined sewer system.” J. Hydrol. 350 (1): 100–113. https://doi.org/10.1016/j.jhydrol.2007.05.028.
Singh, V. P. 1992. Elementary hydrology. Upper Saddle River, NJ: Prentice Hall.
Sorup, H. J. D., O. B. Christensen, K. Arnbjerg-Nielsen, and P. S. Mikkelsen. 2016. “Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman-Scott weather generator.” Hydrol. Earth Syst. Sci. 20: 1387–1403. https://doi.org/10.5194/hess-20-1387-2016.
Sorup, H. J. D., S. Georgiadis, and K. Arnbierg-Nielsen. 2017. “Formulating and testing a method for perturbing precipitation time series to reflect anticipated climatic changes.” Hydrol. Earth Syst. Sci. 21 (1): 345–355. https://doi.org/10.5194/hess-21-345-2017.
Srikanthan, R., and T. A. McMahon. 1983. “Sequential generation of short time-interval rainfall data.” Hydrol. Res. 14 (5): 277–306. https://doi.org/10.2166/nh.1983.0022.
Te Chow, V., D. R. Maidment, and L. W. Mays. 1988. “Applied hydrology.” In McGraw-Hill series in water resources and environmental engineering. New York: Tata McGraw-Hill Education.
Thorndahl, S. 2009. “Stochastic long term modelling of a drainage system with estimation of return period uncertainty.” Water Sci. Technol. J. Int. Assoc. Water Pollut. Res. 59 (12): 2331–2339. https://doi.org/10.2166/wst.2009.305.
Thorndahl, S., A. K. Andersen, and A. B. Larsen. 2017. “Event-based stochastic point rainfall resampling for statistical replication and climate projection of historical rainfall series.” Hydrol. Earth Syst. Sci. 21 (9): 4433–4448. https://doi.org/10.5194/hess-21-4433-2017.
Thorndahl, S., K. Schaarup-Jensen, and M. R. Rasmussen. 2015. “On hydraulic and pollution effects of converting combined sewer catchments to separate sewer catchments.” Urban Water J 12 (2): 120–130. https://doi.org/10.1080/1573062X.2013.831915.
Vandenberghe, S., N. E. C. Verhoest, C. Onof, and B. De Baets. 2011. “A comparative copula-based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett-Lewis modeled rainfall.” Water Resour. Res. 47 (7): 1–16. https://doi.org/10.1029/2009WR008388.
Verhoest, N., P. A. Troch, and F. P. De Troch. 1997. “On the applicability of Bartlett-Lewis rectangular pulses models in the modeling of design storms at a point.” J. Hydrol. 202 (1–4): 108–120. https://doi.org/10.1016/S0022-1694(97)00060-7.
Whateley, S., S. Steinschneider, and C. Brown. 2016. “Selecting stochastic climate realizations to efficiently explore a wide range of climate risk to water resource systems.” J. Water Resour. Plann. Manage. 142 (6): 06016002. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000631.
Wilks, D. S. 2010. “Use of stochastic weathergenerators for precipitation downscaling.” Wiley Interdiscip. Rev. Clim. Change 1 (6): 898–907. https://doi.org/10.1002/wcc.85.
Willems, P. 2000. “Compound Intensity/duration/frequency-relationships of extreme precipitation for two seasons and two storm types.” J. Hydrol. 233 (1–4): 189–205. https://doi.org/10.1016/S0022-1694(00)00233-X.
Willems, P. 2011. “Revision of urban drainage design rules based on extrapolation of design rainfall statistics.” Porto Alegre/Brazil. Accessed November 8, 2017. https://web.sbe.hw.ac.uk/staffprofiles/bdgsa/temp/12th%20ICUD/PDF/PAP005394.pdf.
Zahmatkesh, Z., M. Karamouz, E. Goharian, and S. J. Burian. 2015. “Analysis of the effects of climate change on urban storm water runoff using statistically downscaled precipitation data and a change factor approach.” J. Hydrol. Eng. 20 (7): 05014022. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001064.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 145Issue 6June 2019

History

Received: Nov 30, 2017
Accepted: Nov 5, 2018
Published online: Mar 27, 2019
Published in print: Jun 1, 2019
Discussion open until: Aug 27, 2019

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M. Maimone, Ph.D., M.ASCE [email protected]
P.E.
D.WRE
Senior Vice President, CDM Smith, 60 Crossways Park Dr. West, Woodbury, NY 11979 (corresponding author). Email: [email protected]
Civil Engineer, Climate Change Adaptation Program, Philadelphia Water Dept., 1101 Market St., 4th Floor, Philadelphia, PA 19107. Email: [email protected]
J. Rockwell [email protected]
Manager, Climate Change Adaptation Program, Philadelphia Water Dept., 1101 Market St., 4th Floor, Philadelphia, PA 19107. Email: [email protected]
Civil Engineer, Climate Change Adaptation Program, Philadelphia Water Dept., 1101 Market St., 4th Floor, Philadelphia, PA 19107. Email: [email protected]

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