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@Article{DelahayeKiDuMaViCl:2015:CoGaDa,
               author = "Delahaye, Florian and Kirstetter, Pierre-Emmanuel and Dubreuil, 
                         Vincent and Machado, Luiz Augusto Toledo and Vila, Daniel 
                         Alejandro and Clark III, Robert",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "A consistent gauge database for daily rainfall analysis over the 
                         Legal Brazilian Amazon",
              journal = "Journal of Hydrology",
                 year = "2015",
               volume = "527",
                pages = "292304",
             keywords = "Rainfall variability, geostatistics, rain gauge, spatial 
                         structure, Legal Brazilian Amazon.",
             abstract = "Reliable precipitation information provided by rain gauge networks 
                         is invaluable for applications ranging from climatological studies 
                         to validation of remote sensing rainfall estimates. Daily 
                         precipitation data from 235 tipping bucket gauges in the Legal 
                         Brazilian Amazon are quality controlled for the period 19982009 by 
                         comparing precipitation time series from individual rain gauges 
                         with neighboring stations. Within a geostatistical framework, 
                         optimal distances for the comparison between stations are 
                         identified while considering the density of the network and the 
                         spatial structure of the precipitation. The number of rain gauges 
                         used as neighboring rain gauges varies between 2 and 57. Each 
                         gauge station is compared to nearby gauge stations using fourteen 
                         climate and statistical indicators. A proposed variability index 
                         allows for the detection of suspicious precipitation data before 
                         more detailed analysis of the nature of the issue and the time 
                         period of concern in the time series. The internal consistency of 
                         the database is examined through the use of variograms and cross 
                         validation. The sensitivity of the effectiveness of the quality 
                         control procedure to the comparison distance is examined. These 
                         results are positive and this demonstrates that the spatial 
                         structure of daily rainfall is better sampled. The cross 
                         validation confirms that the quality control procedures improved 
                         the consistency of the database. Finally, the spatial consistency 
                         of the rainfall database is assessed through a classification of 
                         the seasonal regimes in the Legal Brazilian Amazon.",
                 issn = "0022-1694",
           targetfile = "Delahaye_A Consistent.pdf",
        urlaccessdate = "25 nov. 2020"
}


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