Integrating downscaled CMIP5 data with a physically based hydrologic model to estimate potential climate change impacts on streamflow processes in a mixed-use watershed

Hydrological Processes

Volumn 31, Issue 9, 2017, Pages 1790-1803

  Sunde, Michael G ^a   He, Hong S ^a   Hubbart, Jason A ^b   Urban, Michael A ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

climate change; CMIP5; hydrologic modeling; SWAT; water resources

Indexed keywords

CLIMATE MODELS; STREAM FLOW; SURFACE WATERS; WATER RESOURCES; WATERSHEDS;

CLIMATE CHANGE IMPACT; CMIP5; COUPLED MODEL INTERCOMPARISON PROJECT; HYDROLOGIC MODELING; PHYSICALLY-BASED HYDROLOGIC MODELS; QUANTITATIVE ESTIMATES; SOIL AND WATER ASSESSMENT TOOLS; SWAT;

CLIMATE CHANGE;

CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE MODELING; CLIMATE PREDICTION; DOWNSCALING; HYDROLOGICAL MODELING; SOIL AND WATER ASSESSMENT TOOL; STREAMFLOW; WATERSHED;

MISSOURI; UNITED STATES;

EID: 85015300683     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.11150     Document Type: Article

References (71)

1. Ahmadi, M., Arabi, M., Ascough, J. C., Fontane, D. G., & Engel, B. A. (2014). Toward improved calibration of watershed models: Multisite multiobjective measures of information. Environmental Modelling and Software, 59, 135–145.
2. Arnell, N. W., & Gosling, S. N. (2013). The impacts of climate change on river flow regimes at the global scale. Journal of Hydrology, 486, 351–364.
3. Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment part I: Model development. Journal of the American Water Resources Association, 34, 73–89.
4. Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., … Jha, M. K. (2012). SWAT: Model use, calibration, and validation. Transactions of the ASABE, 55, 1491–1508.
5. Brekke, L., Thrasher, B.L., Maurer, E.P., Pruitt, T. (2013). Downscaled CMIP3 and CMIP5 climate projections: Release of downscaled CMIP5 climate projections, comparison with preceding information, and summary of user needs. U.S. Dept. of the Interior, Bureau of Reclamation, Technical Services Center.
6. Chen, J., Brissette, F. P., Poulin, A., & Leconte, R. (2011). Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resources Research, 47, W12509.
7. Cherkauer, K. A., & Sinha, T. (2010). Hydrologic impacts of projected future climate change in the Lake Michigan region. Journal of Great Lakes Research, 36, 33–50.
8. Chien, H., Yeh, P. J.-F., & Knouft, J. H. (2013). Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States. Journal of Hydrology, 491, 73–88.
9. Cibin, R., Sudheer, K. P., & Chaubey, I. (2010). Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydrological Processes, 24, 1133–1148.
10. Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T., Friedlingstein, P., … Wehner, M. (2013). Chapter 12: Long-term climate change: Projections, commitments and irreversibility. In T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, et al. (Eds.), Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change (pp. 1029–1136). Cambridge University Press.
11. Cubasch, U., Wuebbles, D., Chen, D., Facchini, M. C., Frame, D., Mahowald, N., & Winther, J. G. (2013). Chapter 1: Introduction, in: Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change (pp. 119–158). Cambridge University Press.
12. Dams, J., Nossent, J., Senbeta, T. B., Willems, P., & Batelaan, O. (2015). Multi-model approach to assess the impact of climate change on runoff. Journal of Hydrology, 529(Part 3), 1601–1616.
13. Dunne, J., John, J., Adcroft, A., Hallberg, R., Shevliakova, E., Stouffer, R., … Zadeh, N. (2014). NOAA GFDL GFDL-ESM2G, rcp26 experiment output for CMIP5 AR5, served by ESGF. World Data Center for Climate.
14. Ertürk, A., Ekdal, A., Gürel, M., Karakaya, N., Guzel, C., & Gönenç, E. (2014). Evaluating the impact of climate change on groundwater resources in a small Mediterranean watershed. Science of the Total Environment, 499, 437–447.
15. Ficklin, D. L., & Barnhart, B. L. (2014). SWAT hydrologic model parameter uncertainty and its implications for hydroclimatic projections in snowmelt-dependent watersheds. Journal of Hydrology, 519(Part B), 2081–2090. doi:10.1016/j.jhydrol.2014.09.082
16. Ficklin, D. L., Luo, Y., Luedeling, E., & Zhang, M. (2009). Climate change sensitivity assessment of a highly agricultural watershed using SWAT. Journal of Hydrology, 374, 16–29.
17. Ficklin, D. L., Letsinger, S. L., Stewart, I. T., & Maurer, E. P. (2015). Assessing differences in snowmelt-dependent hydrologic projections using CMIP3 and CMIP5 climate forcing data for the western United States. Hydrology Research, 47(2), 483–500.
18. Ficklin, D. L., Robeson, S. M., & Knouft, J. H. (2016). Impacts of recent climate change on trends in baseflow and stormflow in United States watersheds. Geophysical Research Letters, 43, 5079–5088.
19. Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S.C., Collins, W., … Rummukainen, M. (2013). Chapter 9: Evaluation of climate models, in: Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
20. Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007). The soil and water assessment tool: Historical development, applications, and future research directions. Transactions of the ASABE, 50, 1211–1250.
21. Gassman, P. W., Sadeghi, A. M., & Srinivasan, R. (2014). Applications of the SWAT model special section: Overview and insights. Journal of Environmental Quality.
22. Georgakakos, A., Fleming, P., Dettinger, M., Peters-Lidard, C., Richmand, T.C., Reckhow, K., … Yates, D. (2014). Chapter 3: Water resources. Climate Change Impacts in the United States: The Third National Climate Assessment 69–112.
23. Gesch, D., Oimoen, M., Greenlee, S., Nelson, C., Steuck, M., & Tyler, D. (2002). The national elevation dataset. Photogrammetric Engineering and Remote Sensing, 68(1), 5–11.
24. Holvoet, K., van Griensven, A., Seuntjens, P., & Vanrolleghem, P. A. (2005). Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT. Physics and Chemistry of the Earth, 30, 518–526.
25. Homer, C. G., Dewitz, J. A., Yang, L., Jin, S., Danielson, P., Xian, G., … Megown, K. (2015). Completion of the 2011 National Land Cover Database for the conterminous United States-representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, 81(5), 345–354.
26. Hubbart, J. A., & Zell, C. (2013). Considering streamflow trend analyses uncertainty in urbanizing watersheds: A baseflow case study in the Central United States. Earth Interactions, 17, 1–28.
27. Hubbart, J. A., Holmes, J., & Bowman, G. (2010). TMDLs: Improving stakeholder acceptance with science-based allocations. Watershed Science Bulletin Fall, 2010, 19–24.
28. Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Atmosphere and Ocean Research Institute (AORI), National Institute for Environmental Studies (NIES). (2015). MIROC-ESM model output prepared for CMIP5 RCP85, served by ESGF. World Data Center for Climate.
29. Jha, M., Arnold, J. G., Gassman, P. W., Giorgi, F., & Gu, R. R. (2006). Climate change sensitivity assessment on upper Mississippi River basin Streamflows using SWAT. JAWRA Journal of the American Water Resources Association, 42, 997–1015.
30. Jiménez Cisneros, B. E., Oki, T., Arnell, N. W., Benito, G., Cogley, J. G., Döll, P., … Mwakalila, S. S. (2014). Chapter 3: Freshwater resources. In C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, et al. (Eds.), Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel of climate change (pp. 229–269). Cambridge University Press.
31. Jin, X., & Sridhar, V. (2012). Impacts of climate change on hydrology and water resources in the Boise and Spokane River Basins. Journal of the American Water Resources Association, 48, 197–220.
32. Joh, H.-K., Lee, J.-W., Park, M.-J., Shin, H.-J., Yi, J.-E., Kim, G.-S., … Kim, S.-J. (2011). Assessing climate change impact on hydrological components of a small forest watershed through swat calibration of evapotranspiration and soil moisture. Transactions of the ASABE, 54, 1773–1781.
33. Kannan, N., White, S. M., Worrall, F., & Whelan, M. J. (2007). Sensitivity analysis and identification of the best evapotranspiration and runoff options for hydrological modelling in SWAT-2000. Journal of Hydrology, 332, 456–466.
34. Knutti, R., & Sedláček, J. (2013). Robustness and uncertainties in the new CMIP5 climate model projections. Nature Climate Change, 3, 369–373.
35. Lu, E., Takle, E. S., & Manoj, J. (2010). The relationships between climatic and hydrological changes in the upper Mississippi river basin: A SWAT and multi-GCM study. Journal of Hydrometeorology, 11, 437–451.
36. Melillo, J.M., Richmond, T.C., Yohe, G.W. (2014). Climate change impacts in the United States: The third National Climate Assessment. U.S. Global Change Research Program 841 pp.
37. Minville, M., Brissette, F., & Leconte, R. (2008). Uncertainty of the impact of climate change on the hydrology of a nordic watershed. Journal of Hydrology, 358, 70–83.
38. Missouri Department of Natural Resources (MDNR). (2010). Total maximum daily load (TMDL) for Hinkson Creek, Boone County, Missouri, draft. Water Protection Program, Jefferson City, Missouri, USA.
39. Mohammed, I. N., Bomblies, A., & Wemple, B. C. (2015). The use of CMIP5 data to simulate climate change impacts on flow regime within the Lake Champlain Basin. Journal of Hydrology: Regional Studies, 3, 160–186.
40. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50, 885–900.
41. Moriasi, D. N., Wilson, B. N., Douglas-Mankin, K. R., Arnold, J. G., & Gowda, P. H. (2012). Hydrologic and water quality models: Use, calibration, and validation. Transactions of the ASABE, 55, 1241–1247.
42. Narsimlu, B., Gosain, A. K., & Chahar, B. R. (2013). Assessment of future climate change impacts on water resources of upper Sind River basin, India using SWAT model. Water Resources Management, 27, 3647–3662.
43. Neitsch, S. L., Arnold, J., Kiniry, J. R., & Williams, J. R. (2011). Soil and water assessment tool theoretical documentation version 2009: TR-406. Texas A&M University.
44. Nigh, T. A., & Schroeder, W. A. (2002). Atlas of Missouri ecoregions. Missouri Department of Conservation.
45. Ouyang, F., Zhu, Y., Fu, G., Lü, H., Zhang, A., Yu, Z., & Chen, X. (2015). Impacts of climate change under CMIP5 RCP scenarios on streamflow in the Huangnizhuang catchment. Stochastic Environmental Research and Risk Assessment, 29, 1781–1795.
46. Price, K. (2011). Effects of watershed topography, soils, land use, and climate on baseflow hydrology in humid regions: A review. Progress in Physical Geography, 35, 465–492.
47. Pryor, S. C., Scavia, D., Downer, C., Gaden, M., Iverson, L., Nordstrom, R., … Robertson, G. P. (2014). Chapter 18: Midwest. Climate change impacts in the United States: the third National Climate Assessment (pp. 418–440).
48. Qiao, L., Pan, Z., Herrmann, R. B., & Hong, Y. (2014). Hydrological variability and uncertainty of lower Missouri River basin under changing climate. Journal of the American Water Resources Association, 50, 246–260.
49. Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., … Rafaj, P. (2011). RCP 8.5—A scenario of comparatively high greenhouse gas emissions. Climatic Change, 109, 33–57.
50. Romero-Lankao, P., Smith, J. B., Davidson, D. J., Diffenbaugh, N. S., Kinney, P. L., Kirshen, P., … Villers-Ruiz, L. (2014). Chapter 26: North America. In V. R. Barros, C. B. Field, D. J. Dokken, M. D. Mastrandrea, K. J. Mach, T. E. Bilir, et al. (Eds.), Climate change 2014: impacts, adaptation, and vulnerability. Part B: regional aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel of climate change (pp. 1439–1498). Cambridge University Press.
51. Rossi, C. G., Dybala, T. J., Moriasi, D. N., Arnold, J. G., Amonett, C., & Marek, T. (2008). Hydrologic calibration and validation of the soil and water assessment tool for the Leon River watershed. Journal of Soil and Water Conservation, 63, 533–541.
52. Sanford, W. E., & Selnick, D. L. (2013). Estimation of evapotranspiration across the conterminous United States using a regression with climate and land-cover data. JAWRA Journal of the American Water Resources Association, 49, 217–230.
53. Sheshukov, A. Y., Siebenmorgen, C. B., & Douglas-Mankin, K. R. (2011). Seasonal and annual impacts of climate change on watershed response using an ensemble of global climate models. Transactions of the ASABE, 54, 2209–2218.
54. Soil Survey Staff. (2013). Natural Resources Conservation Service, United States Department of Agriculture. Web soil survey. Available online at: http://websoilsurvey.nrcs.usda.gov/
55. Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., … Midgley, P. M. (2013). Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge, UK, and New York, USA: Cambridge University Press.
56. Sun, L., Kunkel, K.E., Stevens, L.E., Buddenberg, A., Dobson, J.G., Easterling, D.R. (2015). Regional surface climate conditions in CMIP3 and CMIP5 for the United States: Differences, similarities, and implications for the U.S. National Climate Assessment. NOAA Technical Report NESDIS 144 111 pp.
57. Sun, Q., Miao, C., & Duan, Q. (2015). Comparative analysis of CMIP3 and CMIP5 global climate models for simulating the daily mean, maximum, and minimum temperatures and daily precipitation over China. Journal of Geophysical Research – Atmospheres, 120, 4806–4824.
58. Sunde, M., He, H. S., Hubbart, J. A., & Scroggins, C. (2016). Forecasting streamflow response to increased imperviousness in an urbanizing Midwestern watershed using a coupled modeling approach. Applied Geography, 72, 14–25.
59. Verma, S., Bhattarai, R., Bosch, N. S., Cooke, R. C., Kalita, P. K., & Markus, M. (2015). Climate change impacts on flow, sediment and nutrient export in a Great Lakes watershed using SWAT. Clean: Soil, Air, Water, 43, 1464–1474.
60. Vo, N. D., Gourbesville, P., Vu, M. T., Raghavan, S. V., & Liong, S.-Y. (2016). A deterministic hydrological approach to estimate climate change impact on river flow: Vu Gia–Thu Bon catchment, Vietnam. Journal of Hydro-Environment Research, 11, 59–74.
61. van Vuuren, D. P., Stehfest, E., Elzen, M. G. J., Kram, T., Vliet, J., Deetman, S., … Ruijven, B. (2011). RCP2.6: Exploring the possibility to keep global mean temperature increase below 2°C. Climatic Change, 109, 95–116.
62. Walsh, J., Wuebbles, D., Hayhoe, K., Kossin, J., Kunkel, K., Stephens, G., … Somerville, R. (2014). Chapter 2: Our changing climate. Climate change impacts in the United States: The third National Climate Assessment (pp. 19–67).
63. Wang, R., Kalin, L., Kuang, W., & Tian, H. (2014). Individual and combined effects of land use/cover and climate change on Wolf Bay watershed streamflow in southern Alabama. Hydrological Processes, 28, 5530–5546.
64. Wang, R., Cherkauer, K. A., Bowling, L. C., Cibin, R., Her, Y., & Chaubey, I. (2017). Biophysical and hydrological effects of future climate change including trends in CO2, in the St. Joseph River watershed, Eastern Corn Belt. Agricultural Water Management, 180, 280–296.
65. White, K. L., & Chaubey, I. (2005). Sensitivity analysis, calibration, and validations for a multisite and multivariable SWAT model. Journal of the American Water Resources Association, 41, 1077–1089.
66. Wilby, R. L., Whitehead, P. G., Wade, A. J., Butterfield, D., Davis, R. J., & Watts, G. (2006). Integrated modelling of climate change impacts on water resources and quality in a lowland catchment: River Kennet, UK. Journal of Hydrology, 330, 204–220.
67. Woldemeskel, F. M., Sharma, A., Sivakumar, B., & Mehrotra, R. (2016). Quantification of precipitation and temperature uncertainties simulated by CMIP3 and CMIP5 models. Journal of Geophysical Research. Atmospheres, 121, 3–17.
68. Xu, C.-Y. (1999). From GCMs to river flow: A review of downscaling methods and hydrologic modelling approaches. Progress in Physical Geography, 23, 229–249.
69. Xu, Y.-P., Zhang, X., Ran, Q., & Tian, Y. (2013). Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China. Journal of Hydrology, 483, 51–60.
70. Zeiger, S., & Hubbart, J. A. (2016). A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the Central USA. Science of the Total Environment, 572, 232–243.
71. Zhou, B., He, H. S., Nigh, T. A., & Schulz, J. H. (2012). Mapping and analyzing change of impervious surface for two decades using multi-temporal Landsat imagery in Missouri. International Journal of Applied Earth Observation and Geoinformation, 18, 195–206. doi:10.1016/j.jag.2012.02.003