Evaluation of the value of radar QPE data and rain gauge data for hydrological modeling

Water Resources Research

Volumn 49, Issue 9, 2013, Pages 5989-6005

  He, Xin ^a   Sonnenborg, Torben O ^a   Refsgaard, Jens Christian ^a   Vejen, Flemming ^b   Jensen, Karsten H ^c  

^a GEOLOGICAL SURVEY OF DENMARK AND GREENLAND   (Denmark)

^b DANISH METEOROLOGICAL INSTITUTE   (Denmark)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

catchment scale; coupled hydrological modeling; groundwater; precipitation estimation; rain gauge density; weather radar

Indexed keywords

CATCHMENTS; GROUNDWATER; METEOROLOGICAL RADAR; MODEL STRUCTURES; QUALITY CONTROL; RAIN GAGES; RUNOFF;

CATCHMENT SCALE; GROUNDWATER MODELING; HEADWATER CATCHMENT; HYDROLOGICAL MODELING; HYDROLOGICAL RESPONSE; PRECIPITATION ESTIMATION; QUANTITATIVE PRECIPITATION ESTIMATION; RAIN GAUGES;

RAIN;

CATCHMENT; DATA SET; GROUNDWATER-SURFACE WATER INTERACTION; HEADWATER; HYDROLOGICAL MODELING; NUMERICAL MODEL; OBSERVATIONAL METHOD; PRECIPITATION ASSESSMENT; RADAR; RAINGAUGE;

DENMARK;

EID: 84884376093     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20471     Document Type: Article

References (82)

1. Abbott, M. B., J. C. Bathurst, J. A. Cunge, P. E. Oconnell, and, J. Rasmussen, (1986), An introduction to the European hydrological system-Systeme Hydrologique Europeen, SHE. 1. History and philosophy of a physically-based, distributed modeling system, J. Hydrol., 87 (1-2), 45-59.
2. Abtew, W., J. Obeysekera, and, G. Shih, (1995), Spatial variation of daily rainfall and network design, T Asae, 38 (3), 843-845. (Pubitemid 26438118)
3. Anagnostou, E. N., and, W. F. Krajewski, (1998), Calibration of the wsr-88d precipitation processing subsystem, Weather Forecasting, 13 (2), 396-406. (Pubitemid 29120691)
4. Anagnostou, E. N., W. F. Krajewski, D. J. Seo, and, E. R. Johnson, (1998), Mean-field rainfall bias studies for wsr-88d, J. Hydrol. Eng., 3 (3), 149-159.
5. Anagnostou, E. N., M. N. Anagnostou, W. F. Krajewski, A. Kruger, and, B. J. Miriovsky, (2004), High-resolution rainfall estimation from x-band polarimetric radar measurements, J. Hydrometeorol, 5 (1), 110-128. (Pubitemid 38381929)
6. Atencia, A., L. Mediero, M. C. Llasat, and, L. Garrote, (2011), Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model, Hydrol. Earth Syst. Sci., 15 (12), 3809-3827.
7. Bandaragoda, C., D. G. Tarboton, and, R. Woods, (2004), Application of topnet in the distributed model intercomparison project, J. Hydrol., 298 (1-4), 178-201. (Pubitemid 39098773)
8. Barnes, S. L., (1964), A technique in maximizing details in numerical weather map analysis, J. Appl. Meteorol., 3 (4), 396-409.
9. Bech, J., A. Sairouni, B. Codina, J. Lorente, and, D. Bebbington, (2000), Weather radar anaprop conditions at a Mediterranean coastal site, Phys. Chem. Earth Part B, 25 (10-12), 829-832.
10. Benito, G., et al., (2010), Management of alluvial aquifers in two Southern African ephemeral rivers: Implications for IWRM, Water Resour. Manage, 24 (4), 641-667.
11. Beven, K., (2002), Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system, Hydrol. Processes, 16, 189-206. (Pubitemid 34137749)
12. Borga, M., and, F. Tonelli, (2000), Adjustment of range-dependent bias in radar rainfall estimates, Phys. Chem. Earth Part B, 25 (10-12), 909-914.
13. Borga, M., F. Tonelli, R. J. Moore, and, H. Andrieu, (2002), Long-term assessment of bias adjustment in radar rainfall estimation, Water Resour. Res., 38 (11), 1226, doi: 10.1029/2001WR000555.
14. Bormann, H., B. Diekkruger, and, C. Renschler, (1999), Regionalisation concept for hydrological modelling on different scales using a physically based model: Results and evaluation, Phys. Chem. Earth Part B, 24 (7), 799-804. (Pubitemid 30024501)
15. Boyle, D. P., H. V. Gupta, S. Sorooshian, V. Koren, Z. Y. Zhang, and, M. Smith, (2001), Toward improved streamflow forecasts: Value of semidistributed modeling, Water Resour. Res., 37 (11), 2749-2759. (Pubitemid 32996668)
16. Brandes, E. A., (1975), Optimizing rainfall estimates with aid of radar, J. Appl. Meteorol., 14 (7), 1339-1345.
17. Brandes, E. A., G. F. Zhang, and, J. Vivekanandan, (2004), Drop size distribution retrieval with polarimetric radar: Model and application, J. Appl. Meteorol., 43 (3), 461-475. (Pubitemid 38463260)
18. Burns, D. A., J. J. McDonnell, R. P. Hooper, N. E. Peters, J. E. Freer, C. Kendall, and, K. Beven, (2001), Quantifying contributions to storm runoff through end-member mixing analysis and hydrologic measurements at the Panola mountain research watershed (Georgia, USA), Hydrol Processes, 15 (10), 1903-1924. (Pubitemid 32680080)
19. Carpenter, T. M., and, K. P. Georgakakos, (2004), Continuous streamflow simulation with the hrcdhm distributed hydrologic model, J. Hydrol., 298 (1-4), 61-79. (Pubitemid 39098768)
20. Carpenter, T. M., J. A. Sperfslage, K. P. Georgakakos, T. Sweeney, and, D. L. Fread, (1999), National threshold runoff estimation utilizing gis in support of operational flash flood warning systems, J. Hydrol., 224 (1-2), 21-44. (Pubitemid 29485462)
21. Christensen, S., and, J. Doherty, (2008), Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration, Adv. Water Resour., 31 (4), 674-700.
22. Ciach, G. J., W. F. Krajewski, E. N. Anagnostou, M. L. Baeck, J. A. Smith, J. R. McCollum, and, A. Kruger, (1997), Radar rainfall estimation for ground validation studies of the tropical rainfall measuring mission, J. Appl. Meteorol., 36 (6), 735-747.
23. Clark, R. A., Y. J. Canipe, and, D. R. Greene, (1972), Applications of digital radar data in both meteorology and hydrology, B. Am. Meteorol. Soc., 53 (7), 687.
24. Cole, S. J., and, R. J. Moore, (2008), Hydrological modelling using raingauge- and radar-based estimators of areal rainfall, J. Hydrol., 358 (3-4), 159-181.
25. Cole, S. J., and, R. J. Moore, (2009), Distributed hydrological modelling using weather radar in gauged and ungauged basins, Adv. Water Resour., 32 (7), 1107-1120.
26. Doherty, J., (2003), Ground water model calibration using pilot points and regularization, Ground Water, 41 (2), 170-177. (Pubitemid 36280735)
27. Fu, S. H., T. O. Sonnenborg, K. H. Jensen, and, X. He, (2011), Impact of precipitation spatial resolution on the hydrological response of an integrated distributed water resources model, Vadose Zone J., 10 (1), 25-36.
28. Goudenhoofdt, E., and, L. Delobbe, (2009), Evaluation of radar-gauge merging methods for quantitative precipitation estimates, Hydrol. Earth Syst. Sci., 13 (2), 195-203.
29. Gourley, J. J., and, B. E. Vieux, (2005), A method for evaluating the accuracy of quantitative precipitation estimates from a hydrologic modeling perspective, J. Hydrometeorol., 6 (2), 115-133. (Pubitemid 40714175)
30. Gourley, J. J., S. E. Giangrande, Y. Hong, Z. L. Flamig, T. Schuur, and, J. A. Vrugt, (2010), Impacts of polarimetric radar observations on hydrologic simulation, J. Hydrometeorol., 11 (3), 781-796.
31. Graham, D. N., and, M. B. Butts, (2006), Flexible, integrated watershed modelling with MIKE SHE, in Watershed Models, edited by, V. P. Singh, and, D. K. Frevert, pp. 245-272, Taylor and Francis, London, United Kingdom.
32. Gupta, H. V., L. A. Bastidas, S. Sorooshian, W. J. Shuttleworth, and, Z. L. Yang, (1999), Parameter estimation of a land surface scheme using multicriteria methods, J. Geophys. Res., 104 (D16), 19,491-19,503.
33. Haberlandt, U., (2007), Geostatistical interpolation of hourly precipitation from rain gauges and radar for a large-scale extreme rainfall event, J. Hydrol., 332 (1-2), 144-157. (Pubitemid 44937318)
34. Haberlandt, U., B. Klocking, V. Krysanova, and, A. Becker, (2001), Regionalisation of the base flow index from dynamically simulated flow components-A case study in the elbe river basin, J. Hydrol., 248 (1-4), 35-53. (Pubitemid 32614593)
35. He, X., F. Vejen, S. Stisen, T. O. Sonnenborg, and, K. H. Jensen, (2011a), An operational weather radar-based quantitative precipitation estimation and its application in catchment water resources modeling, Vadose Zone J., 10 (1), 8-24.
36. He, X., J. C. Refsgaard, T. O. Sonnenborg, F. Vejen, and, K. H. Jensen, (2011b), Statistical analysis of the impact of radar rainfall uncertainties on water resources modeling, Water Resour Res, 47, W09526, doi: 10.1029/2011WR010670.
37. Henriksen, H. J., L. Troldborg, P. Nyegaard, T. O. Sonnenborg, J. C. Refsgaard, and, B. Madsen, (2003), Methodology for construction, calibration and validation of a national hydrological model for Denmark, J. Hydrol., 280 (1-4), 52-71. (Pubitemid 37171966)
38. Henriksen, H. J., L. Troldborg, A. L. Hojberg, and, J. C. Refsgaard, (2008), Assessment of exploitable groundwater resources of denmark by use of ensemble resource indicators and a numerical groundwater-surface water model, J. Hydrol., 348 (1-2), 224-240. (Pubitemid 351483869)
39. Hojberg, A. L., L. Troldborg, S. Stisen, B. S. B. Christensen, and, H. J. Henriksen, (2012), Stakeholder driven update and improvement of a national water resources model, Environ. Modell. Software, 40, 202-213.
40. Ivanov, V. Y., E. R. Vivoni, R. L. Bras, and, D. Entekhabi, (2004), Preserving high-resolution surface and rainfall data in operational-scale basin hydrology: A fully-distributed physically-based approach, J. Hydrol., 298 (1-4), 80-111. (Pubitemid 39098769)
41. Jayawickreme, D. H., and, D. W. Hyndman, (2007), Evaluating the influence of land cover on seasonal water budgets using next generation radar (nexrad) rainfall and streamflow data, Water Resour Res, 43, W02408, doi: 10.1029/2005WR004460.
42. Jensen, K. H., and, T. H. Illangasekare, (2011), Hobe: A hydrological observatory, Vadose Zone J., 10 (1), 1-7.
43. Kim, K., K. Kim, and, C. Yoo, (2010), Decision of minimum rain gauge density in a combined radar-rain gauge rainfall observation system: A case study of the Imjin river basin, Korea, Water Int., 35 (1), 49-62.
44. Kitchen, M., R. Brown, and, A. G. Davies, (1994), Real-time correction of weather radar data for the effects of bright band, range and orographic growth in widespread precipitation, Q. J. R. Meteorol. Soc., 120 (519), 1231-1254.
45. Krajewski, W. F., and, B. Vignal, (2001), Evaluation of anomalous propagation echo detection in WSR-88D data: A large sample case study, J. Atmos. Ocean Tech., 18 (5), 807-814. (Pubitemid 32546303)
46. Krajewski, W. F., V. Lakshmi, K. P. Georgakakos, and, S. C. Jain, (1991), A Monte-Carlo study of rainfall sampling effect on a distributed catchment model, Water Resour. Res., 27 (1), 119-128.
47. Krause, S., A. Bronstert, and, E. Zehe, (2007), Groundwater-surface water interactions in a north german lowland floodplain-Implications for the river discharge dynamics and riparian water balance, J. Hydrol., 347 (3-4), 404-417. (Pubitemid 350122529)
48. Kuczera, G., and, B. J. Williams, (1992), Effect of rainfall errors on accuracy of design flood estimates, Water Resour. Res., 28 (4), 1145-1153.
49. Liang, X., and, Z. H. Xie, (2003), Important factors in land-atmosphere interactions: Surface runoff generations and interactions between surface and groundwater, Global Planet. Change, 38 (1-2), 101-114. (Pubitemid 36815063)
50. Ludwig, R., et al. (2003), Web-based modelling of energy, water and matter fluxes to support decision making in mesoscale catchments-The integrative perspective of Glowa-Danube, Phys. Chem. Earth, 28 (14-15), 621-634. (Pubitemid 37078499)
51. Madsen, H., (2003), Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives, Adv. Water Resour., 26 (2), 205-216. (Pubitemid 36093693)
52. Marshall, J. S., R. C. Langille, W. M. Palmer, and, D. W. Perrie, (1947), The measurement of rainfall by radar, Phys. Rev., 72 (6), 538-538.
53. Michelson, D. B., and, J. Koistinen, (2000), Gauge-radar network adjustment for the baltic sea experiment, Phys. Chem. Earth Part. B, 25 (10-12), 915-920.
54. Milewski, A., M. Sultan, E. Yan, R. Becker, A. Abdeldayem, F. Soliman, and, K. A. Gelil, (2009), A remote sensing solution for estimating runoff and recharge in arid environments, J. Hydrol., 373 (1-2), 1-14.
55. Moore, C., and, J. Doherty, (2005), Role of the calibration process in reducing model predictive error, Water Resour. Res., 41, W05020, doi: 10.1029/2004WR003501.
56. Ntelekos, A. A., K. P. Georgakakos, and, W. F. Krajewski, (2006), On the uncertainties of flash flood guidance: Toward probabilistic forecasting of flash floods, J. Hydrometeorol., 7 (5), 896-915. (Pubitemid 44734304)
57. Nyegaard, P., L. Troldborg, and, A. L. Højberg, (2010), Geologisk og hydrostratigrafisk opdatering 2005-2009 (in Danish), GEUS Rep. Geological Survey of Denmark and Greenland, Copenhagen, Denmark [Available at http://vandmodel.dk/xpdf/dk-model2009-geol-hydr-opdatering.pdf.]
58. Refsgaard, J. C., and, B. Storm, (1995), MIKE SHE, in Computer Models of Watershed Hydrology, edited by, V. P. Singh, pp. 804-846, Water Resour. Publ., Colo.
59. Ryzhkov, A., and, D. S. Zrnic, (1995), Precipitation and attenuation measurements at a 10-cm wavelength, J. Appl. Meteorol., 34 (10), 2121-2134. (Pubitemid 26444728)
60. Scharling, M., K. Rajakumar, L. Hansen, and, J. J. Jensen, (2006), Cataloque of meteorological observing stations operated by DMI, DMI Internal Rep., Danish Meteorological Institute, Copenhagen, Denmark [Available at: http://www.dmi.dk/dmi/tr06-11.pdf.].
61. Seifert, D., T. O. Sonnenborg, J. C. Refsgaard, A. L. Hojberg, and, L. Troldborg, (2012), Assessment of hydrological model predictive ability given multiple conceptual geological models, Water Resour. Res., 48, W06503, doi: 10.1029/2011WR011149.
62. Seo, D. J., and, J. P. Breidenbach, (2002), Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements, J. Hydrometeorol., 3 (2), 93-111.
63. Seo, D. J., J. P. Breidenbach, and, E. R. Johnson, (1999), Real-time estimation of mean field bias in radar rainfall data, J. Hydrol., 223 (3-4), 131-147. (Pubitemid 29478411)
64. Skahill, B. E., and, J. Doherty, (2006), An advanced regularization methodology for use in watershed model calibration, J. Hydrol., 327 (3-4), 564-577. (Pubitemid 44093548)
65. Smith, J. A., and, W. F. Krajewski, (1991), Estimation of the mean field bias of radar rainfall estimates, J. Appl. Meteorol., 30 (4), 397-412.
66. Steiner, M., R. A. Houze, and, S. E. Yuter, (1995), Climatological characterization of 3-dimensional storm structure from operational radar and rain-gauge data, J. Appl. Meteorol., 34 (9), 1978-2007. (Pubitemid 26440835)
67. Steiner, M., J. A. Smith, S. J. Burges, C. V. Alonso, and, R. W. Darden, (1999), Effect of bias adjustment and rain gauge data quality control on radar rainfall estimation, Water Resour. Res., 35 (8), 2487-2503. (Pubitemid 29375377)
68. Stisen, S., T. O. Sonnenborg, A. L. Hojberg, L. Troldborg, and, J. C. Refsgaard, (2011), Evaluation of climate input biases and water balance issues using a coupled surface-subsurface model, Vadose Zone J., 10 (1), 37-53.
69. Stisen, S., A. L. Højberg, L. Troldborg, J. C. Refsgaard, B. C. B. Christensen, M. Olsen, and, H. J. Henriksen, (2012), On the importance of appropriate rain-gauge catch correction for hydrological modelling at mid to high latitudes, Hydrol. Earth Syst. Sci., 9, 3607-3655.
70. Sun, X., R. G. Mein, T. D. Keenan, and, J. F. Elliott, (2000), Flood estimation using radar and raingauge data, J. Hydrol., 239 (1-4), 4-18. (Pubitemid 32010437)
71. Tilford, K. A., N. I. Fox, and, C. G. Collier, (2002), Application of weather radar data for urban hydrology, Meteorol. Appl., 9 (1), 95-104.
72. van de Beek, C. Z., H. Leijnse, J. N. M. Stricker, R. Uijlenhoet, and, H. W. J. Russchenberg, (2010), Performance of high-resolution x-band radar for rainfall measurement in the Netherlands, Hydrol. Earth Syst. Sci., 14 (2), 205-221.
73. van Roosmalen, L., T. O. Sonnenborg, and, K. H. Jensen, (2009), Impact of climate and land use change on the hydrology of a large-scale agricultural catchment, Water Resour. Res., 45, W00A15, doi: 10.1029/2007WR006760.
74. Vignal, B., G. Galli, J. Joss, and, U. Germann, (2000), Three methods to determine profiles of reflectivity from volumetric radar data to correct precipitation estimates, J. Appl. Meteorol., 39 (10), 1715-1726. (Pubitemid 32040600)
75. Villarini, G., and, W. F. Krajewski, (2010), Review of the different sources of uncertainty in single polarization radar-based estimates of rainfall, Surv. Geophys., 31 (1), 107-129.
76. Villarini, G., F. Serinaldi, and, W. F. Krajewski, (2008), Modeling radar-rainfall estimation uncertainties using parametric and non-parametric approaches, Adv. Water Resour., 31 (12), 1674-1686.
77. Villarini, G., W. F. Krajewski, G. J. Ciach, and, D. L. Zimmerman, (2009), Product-error-driven generator of probable rainfall conditioned on WSR-88D precipitation estimates, Water Resour. Res., 45, W01404, doi: 10.1029/2008WR006946.
78. Watts, L. G., and, A. Calver, (1991), Effects of spatially-distributed rainfall on runoff for a conceptual catchment, Nordic Hydrol., 22 (1), 1-14.
79. Wilson, J. W., and, E. A. Brandes, (1979), Radar measurement of rainfall-Summary, Bull. Am. Meteorol. Soc., 60 (9), 1048-1058.
80. Younger, P. M., J. E. Freer, and, K. J. Beven, (2009), Detecting the effects of spatial variability of rainfall on hydrological modelling within an uncertainty analysis framework, Hydrol. Processes, 23 (14), 1988-2003.
81. Zawadzki, I., (1984), Factors affecting the precision of radar measurement of rain, paper presented at 22nd International Conference on Radar Meteorology, Am. Meteorol. Soc., Boston, Massachusetts.
82. Zoccatelli, D., M. Borga, A. Viglione, G. B. Chirico, and, G. Bloschl, (2011), Spatial moments of catchment rainfall: Rainfall spatial organisation, basin morphology, and flood response, Hydrol. Earth Syst. Sci., 15 (12), 3767-3783.