Dynamical bias correction procedure to improve global gridded daily streamflow data for local application in the Upper Blue Nile basin

Badr, H.S., Zaitchik, B.F., Guikema, S.D., 2014. Application of Statistical Models to the Prediction of Seasonal Rainfall Anomalies over the Sahel. J. Appl. Meteorol. Climatol., 53, 614–636. https://doi.org/10.1175/JAMC-D-13-0181.110.1175/JAMC-D-13-0181.1Search in Google Scholar

Bitew, M.M., Gebremichael, M., 2011. Assessment of satellite rainfall products for streamflow simulation in medium watersheds of the Ethiopian highlands. Hydrol. Earth Syst. Sci., 15, 1147–1155. https://doi.org/10.5194/hess-15-1147-201110.5194/hess-15-1147-2011Search in Google Scholar

Eisner, S., 2016. Comprehensive evaluation of the WaterGAP3 model across climatic, physiographic, and anthropogenic gradients. PhD thesis. University of Kassel, Kassel, Germany. Available at http://nbn-resolving.de/urn:nbn:de:hebis:34-2016031450014Search in Google Scholar

El-Sadek, A., Bleiweiss, M., Shukla, M., Guldan, S., Fernald, A., 2011. Alternative climate data sources for distributed hydrological modelling on a daily time step. Hydrol. Process., 25, 1542–1557. https://doi.org/10.1002/hyp.791710.1002/hyp.7917Search in Google Scholar

Elshamy, M.E., Seierstad, I.A., Sorteberg, A., 2009. Impacts of climate change on Blue Nile flows using bias-corrected GCM scenarios. Hydrol. Earth Syst. Sci., 13, 551–565. https://doi.org/10.5194/hess-13-551-200910.5194/hess-13-551-2009Search in Google Scholar

Erkossa, T., Awlachew, S., Haileslassie, A., Denekew Yilma, A., 2009. Impacts of improving water management of smallholder agriculture in the Upper Blue Nile Basin. https://doi.org/DOI:10.22004/ag.econ.212433Search in Google Scholar

Guetter, A.K., Georgakakos, K.P., Tsonis, A.A., 1996. Hydrologic applications of satellite data: 2. Flow simulation and soil water estimates. J. Geophys. Res. Atmos., 101, 26527–26538. https://doi.org/10.1029/96JD0165510.1029/96JD01655Search in Google Scholar

Haberlandt, U., Kite, G.W., 1998. Estimation of daily space–time precipitation series for macroscale hydrological modelling. Hydrol. Process., 12, 1419–1432. https://doi.org/10.1002/(SICI)1099-1085(199807)12:9<1419::AID-HYP645>3.0.CO;2-A10.1002/(SICI)1099-1085(199807)12:9<1419::AID-HYP645>3.0.CO;2-ASearch in Google Scholar

Habib, E., Haile, A., Sazib, N., Zhang, Y., Rientjes, T., 2014. Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile. Remote Sens., 6, Article Number: 6688. https://doi.org/doi.org/10.3390/rs607668810.3390/rs6076688Search in Google Scholar

Hay, L.E., Clark, M.P., 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. https://doi.org/10.1016/s0022-1694(03)00252-x10.1016/S0022-1694(03)00252-XSearch in Google Scholar

Hossain, F., Anagnostou, E.N., 2004. Assessment of current passive-microwave- and infrared-based satellite rainfall remote sensing for flood prediction. J. Geophys. Res. Atmos., 109, Article Number: D07102. https://doi.org/10.1029/2003JD00398610.1029/2003JD003986Search in Google Scholar

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. https://doi.org/https://doi.org/10.1016/S0022-1694(02)00138-510.1016/S0022-1694(02)00138-5Search in Google Scholar

Kanamaru, H., Kanamitsu, M., 2007. Fifty-seven-year California reanalysis downscaling at 10 km (CaRD10). Part II: Comparison with North American regional reanalysis. J. Clim., 20, 5572–5592. https://doi.org/10.1175/2007jcli1522.110.1175/2007JCLI1522.1Search in Google Scholar

Lachenbruch, P.A., Mickey, M.R., 1968. Estimation of error rates in discriminant analysis. Technometrics, 10, 1–11. https://doi.org/10.1080/00401706.1968.1049053010.1080/00401706.1968.10490530Search in Google Scholar

Lakew, H.B., Moges, S.A., Asfaw, D.H., 2017. Hydrological evaluation of satellite and reanalysis precipitation products in the Upper Blue Nile basin: A case study of Gilgel Abbay. Hydrology, 4, Article Number: 39. https://doi.org/https://doi.org/10.3390/hydrology403003910.3390/hydrology4030039Search in Google Scholar

Lakew, H.B., Moges, S.A., Anagnostou, E.N., Nikolopoulos, E.I., Asfaw, D.H., 2019. Evaluation of global water resources reanalysis runoff products for local water resources applications: Case study - Upper Blue Nile basin of Ethiopia. Water Resour. Manag., https://doi.org/10.1007/s11269-019-2190-y10.1007/s11269-019-2190-ySearch in Google Scholar

Lakew, H.B., Moges, S.A., Asfaw, D.H., 2020. Hydrological performance evaluation of multiple satellite precipitation products in the upper Blue Nile basin, Ethiopia. J. Hydrol. Reg. Stud., 27, Article Number: 100664. https://doi.org/https://doi.org/10.1016/j.ejrh.2020.10066410.1016/j.ejrh.2020.100664Search in Google Scholar

Mei, Y., Nikolopoulos, E., Anagnostou, E., Zoccatelli, D., Borga, M., 2016. Error analysis of satellite precipitation-driven modeling of flood events in complex Alpine terrain. Remote Sens., 8, Article Number: 293. https://doi.org/https://doi.org/10.3390/rs804029310.3390/rs8040293Search in Google Scholar

Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F.T., Flörke, M., Döll, P., 2014. Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration. Hydrol. Earth Syst. Sci., 18, 3511–3538. https://doi.org/10.5194/hess-18-3511-201410.5194/hess-18-3511-2014Search in Google Scholar

Nash, J.E., Sutcliffe, J. V., 1970. River flow forecasting through conceptual models part I - A discussion of principles. J. Hydrol., 10, 282–290. https://doi.org/10.1016/0022-1694(70)90255-610.1016/0022-1694(70)90255-6Search in Google Scholar

Nikolopoulos, E.I., Anagnostou, E.N., Hossain, F., Gebremichael, M., Borga, M., 2010. Understanding the scale relationships of uncertainty propagation of satellite rainfall through a distributed hydrologic model. J. Hydrometeorol., 11, 520–532. https://doi.org/10.1175/2009jhm1169.110.1175/2009JHM1169.1Search in Google Scholar

Schellekens, J., Dutra, E., Martínez-de la Torre, A., Balsamo, G., van Dijk, A., Sperna Weiland, F., Minvielle, M., Calvet, J.-C., Decharme, B., Eisner, S., Fink, G., Flörke, M., Peßenteiner, S., van Beek, R., Polcher, J., Beck, H., Orth, R., Calton, B., Burke, S., Dorigo, W., Weedon, G.P., 2017. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset. Earth Syst. Sci. Data, 9, 389–413. https://doi.org/10.5194/essd-9-389-201710.5194/essd-9-389-2017Search in Google Scholar

Setegn, S.G., Srinivasan, R., Melesse, A.M., Dargahi, B., 2010. SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia. Hydrol. Process., 24, 357–367. https://doi.org/10.1002/hyp.745710.1002/hyp.7457Search in Google Scholar

Stone, M., 1977. An asymptotic equivalence of choice of model by cross-validation and Akaike’s criterion. J. R. Stat. Soc. Ser. B, 39, 44–47. https://doi.org/10.1111/j.2517-6161.1977.tb01603.x10.1111/j.2517-6161.1977.tb01603.xSearch in Google Scholar