Abstract
The Delaware River Basin (DRB) encompasses approximately 0.4 % of the area of the United States (U.S.), but supplies water to 5 % of the population. We studied three forested tributaries to quantify the potential climate-driven change in hydrologic budget for two 25-year time periods centered on 2030 and 2060, focusing on sensitivity to the method of estimating potential evapotranspiration (PET) change. Hydrology was simulated using the Water Availability Tool for Environmental Resources (Williamson et al. 2015). Climate-change scenarios for four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCMs) and two Representative Concentration Pathways (RCPs) were used to derive monthly change factors for temperature (T), precipitation (PPT), and PET according to the energy-based method of Priestley and Taylor (1972). Hydrologic simulations indicate a general increase in annual (especially winter) streamflow (Q) as early as 2030 across the DRB, with a larger increase by 2060. This increase in Q is the result of (1) higher winter PPT, which outweighs an annual actual evapotranspiration (AET) increase and (2) (for winter) a major shift away from storage of PPT as snow pack. However, when PET change is evaluated instead using the simpler T-based method of Hamon (1963), the increases in Q are small or even negative. In fact, the change of Q depends as much on PET method as on time period or RCP. This large sensitivity and associated uncertainty underscore the importance of exercising caution in the selection of a PET method for use in climate-change analyses.
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References
Bastola S (2013) Hydrologic impacts of future climate change on southeast US watersheds. Reg Environ Chang 13:131–139. doi:10.1007/s10113-013-0454-2
Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology / un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant. Hydrol Sci Bull 24:43–69. doi:10.1080/02626667909491834
Burns DA, Klaus J, McHale MR (2007) Recent climate trends and implications for water resources in the Catskill Mountain region, New York, USA. J Hydrol 336:155–170. doi:10.1016/j.jhydrol.2006.12.019
Clark KL, Skowronski N, Gallagher M, Renninger H, Schäfer K (2012) Effects of invasive insects and fire on forest energy exchange and evapotranspiration in the New Jersey pinelands Agric For Meteorol 166–167:50–61 doi:10.1016/j.agrformet.2012.07.007
Delaware River Basin Commission [DRBC] (1961) Delaware River Basin Compact vol United States: Public Law 87–328, Approved September 27, 1961, 75 Statutes at Large 688; Delaware: 53 Delaware Laws, Chapter 71, Approved May 26, 1961; New Jersey: Laws of 1961, Chapter 13, Approved May 1, 1961; New York: Laws of 1961, Chapter 148, Approved March 17, 1961; Pennsylvania: Acts of 1961, Act No. 268, Approved July 7, 1961.
Dingman SL (2002) Physical Hydrology, 2nd edn. Prentice Hall, Upper Saddle River, NJ
Dunne JP et al. (2012) GFDL’s ESM2 global coupled climate–carbon earth system models. Part I: physical formulation and baseline simulation characteristics. J Clim 25:6646–6665. doi:10.1175/JCLI-D-11-00560.1
Frumhoff PC, McCarthy JJ, Melillo JM, Moser SC, Wuebbles DJ (2007) Confronting Climate Change in the U.S. Northeast: Science, Impacts, and Solutions. Northeast Climate Impacts Assessment, Cambridge, MA
Fry J et al. (2011) Completion of the 2006 National Land Cover Database for the conterminous United States. Photogramm Eng Remote Sens 77:858–864
Gao Y, JS F, Drake JB, Liu Y, Lamarque J-F (2012) Projected changes of extreme weather events in the eastern United States based on a high resolution climate modeling system. Environ Res Lett 7:044025
Gent PR et al. (2011) The community climate system model version 4. J Clim 24:4973–4991. doi:10.1175/2011JCLI4083.1
Hamon WR (1963) Estimating Potential Evapotranspiration. Trans Am Soc Civ Eng 128:324–337
Hirsch RM, Archfield SA (2015) Flood trends: not higher but more often. Nat Clim Chang 5:198–199. doi:10.1038/nclimate2551
Hirsch RM, Ryberg KR (2011) Has the magnitude of floods across the USA changed with global CO2 levels? Hydrol Sci J 57:1–9. doi:10.1080/02626667.2011.621895
Intergovernmental Panel on Climate Change [IPCC] CWT (2014) Climate Change 2014: Synthesis Report. Contribution of Working Groups I. II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Geneva, Switzerland
Jin S, Yang L, Danielson P, Homer C, Fry J, Xian G (2013) A comprehensive change detection method for updating the National Land Cover Database to circa 2011. Remote Sens Environ 132:159–175
Jubb I, Canadell P, Dix M (2013) Representative concentration pathways (RCPs). Australian Government, Department of the Environment
Lu J, Sun G, McNulty SG, Amatya DM (2005) A comparison of six potential evapotranspiration methods for regional use in the southeastern United States. JAWRA J Am Water Resour Assoc 41:621–633. doi:10.1111/j.1752-1688.2005.tb03759.x
Matonse AH et al. (2011) Effects of changes in snow pattern and the timing of runoff on NYC water supply system. Hydrol Process 25:3278–3288. doi:10.1002/hyp.8121
Matonse A, Pierson D, Frei A, Zion M, Anandhi A, Schneiderman E, Wright B (2012) Investigating the impact of climate change on New York City’s primary water supply. Clim Chang:1–20. doi:10.1007/s10584-012-0515-4
McCabe GJ, Ayers MA (1989) Hydrologic Effects of Climate Change in The Delaware River Basin. JAWRA J Am Water Resour Assoc 25:1231–1242. doi:10.1111/j.1752-1688.1989.tb01335.x
McCabe G Jr, Wolock D (1992) Effects of climatic change and climatic variability on the Thornthwaite moisture index in the Delaware River basin. Clim Chang 20:143–153. doi:10.1007/BF00154172
Mehran A, AghaKouchak A, Phillips TJ (2014) Evaluation of CMIP5 continental precipitation simulations relative to satellite-based gauge-adjusted observations. Journal of Geophysical Research: Atmospheres 119:1695–1707. doi:10.1002/2013JD021152
Milly PCD, Dunne KA, (2011) On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration. Earth Interactions 15(1):1–14
Najjar RG et al. (2000) The potential impacts of climate change on the mid-Atlantic coastal region. Clim Res 14:219–233. doi:10.3354/cr014219
Nazarenko L et al. (2015) Future climate change under RCP emission scenarios with GISS ModelE2 Journal of Advances in Modeling Earth Systems:n/a-n/a doi:10.1002/2014MS000403
Neff R, Chang H, Knight CG, Najjar RG, Yarnal B, Walker HA (2000) Impact of climate variation and change on mid-Atlantic region hydrology and water resources. Clim Res 14:207–218. doi:10.3354/cr014207
Ning L, Riddle EE, Bradley RS (2015) Projected changes in climate extremes over the northeastern United States. J Clim 28:3289–3310. doi:10.1175/JCLI-D-14-00150.1
Priestley CHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100:81–92. doi:10.1175/1520–0493(1972)100 < 0081:otaosh > 2.3.co;2
R Core Team (2014) R: A language and environment for statistical computing. R Foundation for Statistical Computing. vol 3.1.2 (2014–10-31). Vienna, Austria
Shaw SB, Riha SJ (2011) Assessing temperature-based PET equations under a changing climate in temperate, deciduous forests. Hydrol Process 25:1466–1478. doi:10.1002/hyp.7913
Teutschbein C, Seibert J (2012) Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods J Hydrol 456–457:12–29 doi:10.1016/j.jhydrol.2012.05.052
Thompson J, Archfield S (2014) The EflowStats R package. USGS
Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38:55–94. doi:10.2307/210739
Thornton PE, Thornton MM, Mayer BW, Wilhelmi N, Wei Y, Cook RB (2012) Daymet: Daily surface weather on a 1 km grid for North America,1980–2012. doi:10.3334/ORNLDAAC/Daymet_V2
U. S. Army Corps Engineers [USACE] (1998) Engineering and Design Runoff from Snowmelt
U.S. Department of Agriculture [USDA] (1986) Urban hydrology for small watersheds vol 55, Second edn. Natural Resources Conservation Service, United States Department of Agriculture
van Vuuren D et al. (2011) The representative concentration pathways: an overview. Climatic Change 109:5–31. doi:10.1007/s10584–011-0148-z
von Salzen K et al. (2013) The Canadian fourth generation atmospheric global climate model (CanAM4). Part I: representation of physical processes. Atmosphere-Ocean 51:104–125. doi:10.1080/07055900.2012.755610
Soil Survey Staff - gSSURGO (2014) Natural Resources Conservation Service, United States Department of Agriculture. http://websoilsurvey.nrcs.usda.gov. Accessed 12 Aug 2014
Williamson TN, Lant JG, Claggett PR, Nystrom EA, Milly PCD, Nelson HL, Hoffman SA, Colarullo SJ, and Fischer JM (2015) Summary of hydrologic modeling for the Delaware River Basin using the Water Availability Tool for Environmental Resources (WATER) Scientific Investigations Report, U.S. Geological Survey, 2015–5143, p 68. http://dx.doi.org/10.3133/sir20155143
Wuebbles DJ, Kunkel K, Wehner M, Zobel Z (2014) Severe weather in United States under a changing climate. Eos, Transactions American Geophysical Union 95:149–150. doi:10.1002/2014eo180001
Acknowledgments
Development of the Water Availability Tool for Environmental Resources (WATER) for the Delaware River Basin was funded by the USGS as part of a National Water Census focus area study. We appreciate the thoughtful comments from colleagues and reviewers at different stages of this research and manuscript preparation.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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Williamson, T.N., Nystrom, E.A. & Milly, P.C.D. Sensitivity of the projected hydroclimatic environment of the Delaware River basin to formulation of potential evapotranspiration. Climatic Change 139, 215–228 (2016). https://doi.org/10.1007/s10584-016-1782-2
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DOI: https://doi.org/10.1007/s10584-016-1782-2