570
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Correcting bias in rainfall inputs to a semi-distributed hydrological model using downstream flow simulation errors

&
Pages 2427-2439 | Received 15 Dec 2016, Accepted 24 Jul 2017, Published online: 27 Oct 2017

References

  • Andersson, L., et al., 2003. Water flow dynamics in the Okavango River Basin and Delta – a prerequisite for the ecosystems of the delta. Physics and Chemistry of the Earth, Parts A/B/C, 28, 1165–1172. doi:10.1016/j.pce.2003.09.002
  • Beven, K., 2012. Causal models as multiple working hypotheses about environmental processes. Comptes Rendus – Geoscience, 344 (2), 77–88. doi:10.1016/j.crte.2012.01.005
  • Beven, K. and Binley, A., 2014. GLUE: 20 years on. Hydrological Processes, 28 (24), 5897–5918. doi:10.1002/hyp.v28.24
  • Beven, K.J., 2000. Uniqueness of place and process representations in hydrological modelling. Hydrology and Earth System Sciences, 4 (2), 203–213. doi:10.5194/hess-4-203-2000
  • Döll, P., et al., 2016. Modelling freshwater resources at the global scale: challenges and prospects. Surveys in Geophysics, 37 (2), 195–221. doi:10.1007/s10712-015-9343-1
  • Euser, T., et al., 2013. A framework to assess the realism of model structures using hydrological signatures. Hydrology and Earth System Sciences, 17, 1893–1912. doi:10.5194/hess-17-1893-2013
  • Harris, I., et al., 2014. Updated high-resolution grids of monthly climatic observations – the CRUTS3.10 dataset. International Journal of Climatology, 34 (3), 623–642. doi:10.1002/joc.3711
  • Hrachowitz, M., et al., 2014. Process consistency in models: the importance of system signatures, expert knowledge, and process complexity. Water Resources Research, 50 (9), 7445–7469. doi:10.1002/2014WR015484
  • Hrachowitz, M., et al., 2013. A decade of Predictions in Ungauged Basins (PUB) - a review. Hydrological Sciences Journal, 58 (6), 1198–1255. doi:10.1080/02626667.2013.803183
  • Hughes, D.A., 2013. A review of 40 years of hydrological science and practice in southern Africa using the Pitman rainfall–runoff model. Journal of Hydrology, 501, 111–124. doi:10.1016/j.jhydrol.2013.07.043
  • Hughes, D.A., et al., 2006. Regional calibration of the Pitman model for the Okavango River. Journal of Hydrology, 331 (1–2), 30–42. doi:10.1016/j.jhydrol.2006.04.047
  • Hughes, D.A., Kingston, D.G., and Todd, M.C., 2011. Uncertainty in water resources availability in the Okavango River Basin as a result of climate change. Hydrology and Earth System Sciences, 15, 931–941. doi:10.5194/hess-15-931-2011
  • Hughes, D.A. and Slaughter, A.R., 2015. Daily disaggregation of simulated monthly flows using different rainfall datasets in southern Africa. Journal of Hydrology: Regional Studies, 4, 153–171.
  • Kirchner, J.W., 2006. Getting the right answers for the right reasons: linking measurements, analyses, and models to advance the science of hydrology. Water Resources Research, 42, W0SS04. doi:10.1029/2005WR004362
  • Knoche, M., et al., 2014. Combined uncertainty of hydrological model complexity and satellite-based forcing data evaluated in two data-scarce semi-arid catchments in Ethiopia. Journal of Hydrology, 519, 2049–2066.
  • Legates, D.R., and Willmott, C.J., 1990. Mean seasonal and spatial variability in gauge-corrected, global precipitation. International Journal of Climatology, 10, 111–127.
  • Linhoss, A.C., et al., 2013. Hydrologic modeling, uncertainty, and sensitivity in the Okavango Basin: insights for scenario assessment. Journal of Hydrologic Engineering, 18, 1767–1778. doi:10.1061/(ASCE)HE.1943-5584.0000755
  • Mitchell, T.D. and Jones, P.D., 2005. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. International Journal of Climatology, 25, 693–712. doi:10.1002/(ISSN)1097-0088
  • Ndzabandzaba, C. and Hughes, D.A., 2017. Regional water resources assessments using an uncertain modelling approach: the example of Swaziland. Journal of Hydrology: Regional Studies, 10, 47–60.
  • Pluntke, T., Pavlik, D., and Bernhofer, C., 2014. Reducing uncertainty in hydrological modelling in a data sparse region. Environmental Earth Sciences, 72 (12), 4801–4816. doi:10.1007/s12665-014-3252-3
  • Pokhrel, P. and Gupta, H.V., 2009. Regularized calibration of a distributed hydrological model using available information about watershed properties and signature measures. IAHS-AISH Publication, 333, 20–25.
  • Pombo, S., Proença de Oliveira, R., and Mendes, A., 2014. Validation of remote‐sensing precipitation products for Angola. Meteorological Applications. doi:10.1002/met.1467
  • Prakash, S., Gairola, R.M., and Mitra, A.K., 2014. Comparison of large‐scale global land precipitation from multisatellite and reanalysis products with gauge‐based GPCC datasets. Theoretical Applied Climatology. doi:10.1007/s00704‐014‐1245‐5
  • Rouhani, H., et al., 2007. Parameter estimation in semi-distributed hydrological catchment modelling using a multi-criteria objective function. Hydrological Processes, 21 (22), 2998–3008. doi:10.1002/(ISSN)1099-1085
  • Tumbo, M. and Hughes, D.A., 2015. Uncertain hydrological modelling: application of the Pitman model in the Great Ruaha River Basin, Tanzania. Hydrological Sciences Journal, 60 (11), 2047–2061.
  • Voisin, N., Wood, A.W., and Lettenmaier, D.P., 2008. Evaluation of precipitation products for global hydrological prediction. Journal of Hydrometeorology, 9 (3), 388‐407. doi:10.1175/2007JHM938.1
  • Westerberg, I.K., et al., 2011. Calibration of hydrological models using flow-duration curves. Hydrology and Earth System Sciences, 15 (7), 2205–2227. doi:10.5194/hess-15-2205-2011
  • Wilk, J., et al., 2006. Estimating rainfall and water balance over the Okavango River basin for hydrological applications. Journal of Hydrology, 331 (1–2), 18–29. doi:10.1016/j.jhydrol.2006.04.049
  • Wolski, P., et al., 2012. Multi-decadal oscillations in the hydro-climate of the Okavango River system during the past and under a changing climate. Journal of Hydrology, 475, 294–305. doi:10.1016/j.jhydrol.2012.10.018
  • Wood, E.F., et al., 1988. Effects of spatial variability and scale with implications to hydrologic modeling. Journal of Hydrology, 102 (1–4), 29–47. doi:10.1016/0022-1694(88)90090-X
  • Yadav, M., Wagener, T., and Gupta, H.V., 2007. Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins. Advances in Water Resources, 30, 1756–1774. doi:10.1016/j.advwatres.2007.01.005
  • Zhang, Z., et al., 2008. Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization. Water Resources Research. 44. doi:10.1029/2008WR006833

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.