@Article{DemariaNijValRodSu:2014:HoSaEr,
               author = "Demaria, Eleonora M. C. and Nijssen, Bart and Vald{\'e}s, Juan B. 
                         and Rodriguez, Daniel Andr{\'e}s and Su, Fengge",
          affiliation = "{The University of Arizona} and {University of Washington} and 
                         {The University of Arizona} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Institute of Tibetan Plateau Research, 
                         Chinese Academy of Sciences",
                title = "Satellite precipitation in southeastern South America: How do 
                         sampling errors impact high flow simulations?",
              journal = "International Journal of River Basin Management",
                 year = "2014",
               volume = "12",
               number = "1",
                pages = "1--13",
             keywords = "computer simulation, error analysis, flood forecasting, flow 
                         modeling, hydrological modeling, Monte Carlo analysis, peak flow, 
                         precipitation assessment, satellite data, Brazil, Iguazu basin.",
             abstract = "Satellite precipitation estimates are increasingly available at 
                         temporal and spatial scales of interest to hydrological 
                         applications and with the potential for improving flood forecasts 
                         in data-sparse regions. This study evaluates the effect of 
                         sampling error on simulated large flood events. Synthetic 
                         precipitation fields were generated in Monte Carlo fashion by 
                         perturbing observed precipitation fields with sampling errors 
                         based on 1, 2 and 6 h intervals. The variable infiltration 
                         capacity hydrological model was used to assess the impact of these 
                         errors on simulated high flow events in the Iguazu basin, a 
                         rain-dominated, subtropical basin in southeastern South America. 
                         Results showed that unbiased errors in daily error-corrupted 
                         precipitation fields introduced bias in the simulated hydrologic 
                         fluxes and states. The overall bias for error-corrupted daily 
                         streamflows was positive and its magnitude increased with larger 
                         sampling intervals. However, for high flow events, the bias was 
                         negative as a result of an increase in simulated infiltration and 
                         changes in precipitation variability. Errors in precipitation also 
                         affected the magnitude and volume of the peak events but did not 
                         change the first two statistical moments of the peaks indicating 
                         that non-linearities in the hydrological system preserve the 
                         statistical properties of high flows in the basin. Caution is 
                         needed when using satellite products for hydrological applications 
                         that require the estimation of large peaks and volumes.",
                  doi = "10.1080/15715124.2013.865637",
                  url = "http://dx.doi.org/10.1080/15715124.2013.865637",
                 issn = "1571-5124 and 1814-2060",
                label = "scopus 2014-05 DemariaNijValRodSu:2014:HoSaEr",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}