Assessment of the utility of dynamically-downscaled regional reanalysis data to predict streamflow in west central Florida using an integrated hydrologic model

Regional Environmental Change

Volumn 13, Issue SUPPL.1, 2013, Pages 69-80

  Hwang, Syewoon ^a,b   Graham, Wendy D ^a,b   Adams, Alison ^c   Geurink, Jeffrey ^c  

^a UNIVERSITY OF FLORIDA   (United States)

^b University of Florida   (United States)

^c Tampa Bay Water   (United States)

Author keywords

Bias correction; Dynamically downscaled reanalysis; Integrated hydrologic model; Regional climate model; West central Florida

Indexed keywords

EID: 84893779724     PISSN: 14363798     EISSN: 1436378X     Source Type: Journal    
DOI: 10.1007/s10113-013-0406-x     Document Type: Article

References (35)

1. Beck A, Ahrens B, Stadlbacher K (2004) Impact of nesting strategies in dynamical downscaling of reanalysis data. Geophys Res Lett 31: L19101.
2. Bicknell B, Imhoff JC, Kittle JL, Jobes TH, Donigian AD (2001) Hydrologic simulation program-FORTRAN (HSPF): user's manual for version 12. U. S Environmental Protection Agency, Athens, GA.
3. Bromwich DH, Fogt RL (2004) Strong trend in the skill of the ERA-40 and NCEP-NCAR reanalyses in the high and midlatitudes of the southern hemisphere, 1958-2001. J Clim 17: 4603-4619.
4. El-Sadek A, Bleiweiss M, Shukla M, Guldan S, Fernald A (2011) Alternative climate data sources for distributed hydrological modeling on a daily time step. Hydrol Process 25: 1542-1557.
5. Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modeling to impacts studies: recent advances in downscaling techniques for hydrological modeling. Int J Climatol 27: 1547-1578.
6. Geurink J, Basso R (2012) Development, calibration, and evaluation of the Integrated Northern Tampa Bay Hydrologic Model. Tampa Bay Water and the Southwest Florida Water Management District, Clearwater, FL.
7. Geurink J, Basso R, Tara P, Trout K, Ross M (2006) Improvements to integrated hydrologic modeling in the Tampa Bay, Florida region: hydrologic similarity and calibration metrics. In: Proceedings of the joint federal interagency conference 2006, Reno, NV.
8. Giorgi F, Hewitson B, Christensen J, Hulme M, Von Storch H, Whetton P, Jones R, Mearns L, Fu C (2001) Regional climate information -evaluation and projections. In: Climate change 2001: the scientific basis. Cambridge University Press, Cambridge, pp 583-638, 739-768.
9. Haberlandt U, Kite GW (1998) Estimation of daily space-time precipitation series for macroscale hydrological modeling. Hydrol Process 12: 1419-1432.
10. Harbaugh AW, McDonald MG (1996) Programmer's documentation for MODFLOW-96, an update to the U. S. Geological Surbay modular finite-difference ground-water flow model, U. S. Geological Survey Open-File Report 96-486, Reston, VA.
11. Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1: 96-99.
12. Hay LE, Clark MP (2003) Use of statistically and dynamically downscaled atmospheric model output for hydrologic simulations in three mountainous basins in the western United States. J Hydrol 282: 56-75.
13. Hwang S, Graham W, Hernández JL, Martinez C, Jones JW, Adams A (2011) Quantitative spatiotemporal evaluation of dynamically downscaled MM5 precipitation predictions over the Tampa Bay region, Florida. J Hydrometeorol 12(6): 1447-1464.
14. Iizumi T, Nishimori M, Dairaku K, Adachi AS, Yokozawa M (2011) Evaluation and intercomparison of downscaled daily precipitation indices over Japan in present-day climate: strengths and weaknesses of dynamical and bias correction-type statistical downscaling methods. J Geophys Res 116: D01111.
15. Jasper K, Gurtz J, Lang H (2002) Advanced flood forecasting in Alpine watersheds by coupling meteorological observations and forecasts with a distributed hydrological model. J Hydrol 267: 40-52.
16. Jonathan TO, Meehl GA, Bony S, Easterling DR (2011) Climate data challenges in the 21st century. Science 331: 700. doi: 10. 1126/science. 1197869.
17. Juang HMH, Kanamitsu M (1994) The NMC nested regional spectral model. Mon Weather Rev 122: 3-26.
18. Kanamitsu M, Kanamaru H (2007) Fifty-seven year California reanalysis downscaling at 10 km (CaRD10). Part I: system detail and validation with observations. J Clim 20: 5553-5571.
19. Kanamitsu M, Evisuzaki W, Woollen J, Yang S-K, Hnilo JJ, Fiorino M, Potter GL (2002) NCEP/DOE AMIP-II Reanalysis (R-2). Bull Am Meteorol Soc 83: 1631-1643.
20. Lim Y-K, Stefanova LB, Chan SC, Schubert SD, O'Brien JJ (2011) High-resolution subtropical summer precipitation derived from dynamical downscaling of the NCEP/DOE reanalysis: how much small-scale information is added by a regional model? Clim Dyn 37: 1061-1080. doi: 10. 1007/s00382-010-0891-2.
21. Lo JC, Yang Z, Pielke RA Sr (2008) Assessment of three dynamical climate downscaling methods using the Weather Research and Forecasting (WRF) model. J Geophys Res 113: D09112. doi: 10. 1029/2007JD009216.
22. Mearns LO, Giorgi F, Whetton P, Pabon D, Hulme M, Lal M (2003) Guidelines for use of climate scenarios developed from regional climate model experiments. Data distribution centre of the Intergovernmental. Panel Clim Change. http://www. ipcc-data. org/guidelines/dgm_no1_v1_10-2003. pdf.
23. Mesinger F, Janjić ZI, Nicković S, Gavrilov D, Deaven DG (1988) The step-mountain coordinate: model description and performance for cases of Alpine lee cyclogenesis and for a case of an Appalachian redevelopment. Mon Weather Rev 116: 1493-1518.
24. Mesinger F, DiMego G, Kalnay E, Shafran P, Ebisuzaki W, Jovic D, Woollen J, Mitchell K, Rogers E, Ek M, Fan Y, Grumbine R, Higgins W, Li H, Lin Y, Manikin G, Parrish D, Shi D (2006) North American regional reanalysis. Bull Am Meteorol Soc 87: 343-360.
25. Moriasi DN, Arnold JG, van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulation. Trans ASABE 50(3): 885-900.
26. Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I: a discussion of principles. J Hydrol 10: 282-290. doi: 10. 1016/0022-1694(70)90255-6.
27. Panofsky HA, Brier GW (1968) Some applications of statistics to meteorology. The Pennsylvania State University, University park, p 224.
28. Piani C, Weedon GP, Best M, Gomes SM, Viterbo P, Hagemann S, Haerter JO (2010) Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models. J Hydrol 395: 199-215.
29. Ross M, Trout K, Tara P, Said A, Geurink J (2004) A new discretization scheme for integrated surface and groundwater modeling. Hydrological science and technology. J Am Inst Hydrol (AIH) 21: 143-156.
30. Ross M, Geurink J, Said A, Aly A, Tara P (2005) Evapotranspiration conceptualization in the HSPF-MODFLOW integrated models. J Am Water Res Assoc 41(5): 1012-1025.
31. Stefanova L, Misra V, Chan S, Griffin M, O'Brien JJ, Smith JT III (2011) A proxy for high-resolution regional reanalysis for the southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses. Clim Dyn 38(11): 2449-2466. doi: 10. 1007/s00382-011-1230-y.
32. Themeßl JM, Gobiet A, Heinrich G (2012) Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal. Clim Change 112: 449-468.
33. Uppala SM et al (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131: 2961-3012.
34. Wilby RL, Wigley TML (1997) Downscaling general circulation model output: a review of methods and limitations. Prog Phys Geogr 21: 530-548.
35. Wood AW, Leung LR, Sridhar V, Lettenmaier DP (2004) Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Clim Change 62: 189-216.