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@Article{SiqueiraVila:2019:HyMePr,
               author = "Siqueira, Ricardo Almeida de and Vila, Daniel Alejandro",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Hybrid methodology for precipitation estimation using 
                         Hydro-Estimator over Brazil",
              journal = "International Journal of Remote Sensing",
                 year = "2019",
               volume = "40",
               number = "11",
                pages = "4244--4263",
             abstract = "Rainfall measurement is a very important topic to society and for 
                         the understanding of the weather and climate, therefore needs to 
                         be calculated as accurately as possible. Counteracting the problem 
                         of the high temporal and spatial variability of precipitation, 
                         geostationary satellites sensors have been proved an excellent 
                         tool to this task, providing scans with high temporal resolution 
                         and detecting the growth and decay of rain cells. Using infra-red 
                         (IR) images obtained from the Geostationary Operational 
                         Environmental Satellites (GOES), the Hydro-Estimator (HYDRO) 
                         algorithm produces instantaneous precipitation estimates with 30 
                         min temporal resolution and 4 km spatial resolution with a very 
                         low latency compared with other more sophisticated methodologies 
                         (i.e. passive microwave-based algorithms). However, the IR 
                         algorithm has some limitations to estimate precipitation on some 
                         cloud systems. In order to overcome this problem, the main 
                         objective of this study is to develop a light and fast algorithm, 
                         based on the histogram matching (HM) technique, to combine the 
                         superior sampling and low latency of the HYDRO IR product with 
                         more accurate active microwave-based products over Brazil. The 
                         adjusted HYDRO (AHYDRO) product was validated against Brazil rain 
                         gauge network for two years (2016-2017) and the performance was 
                         assessed by using standard statistical metrics and categorical 
                         indices. Results show that the HM technique is able to minimize 
                         the large variability and discrepancies among HYDRO and observed 
                         precipitation over Brazil. At same time, is able to generate a 
                         better bias performance while maintaining the same correlation 
                         levels before the adjustment.",
                  doi = "10.1080/01431161.2018.1562262",
                  url = "http://dx.doi.org/10.1080/01431161.2018.1562262",
                 issn = "0143-1161",
             language = "en",
           targetfile = "Hybrid methodology for precipitation estimation using Hydro 
                         Estimator over Brazil.pdf",
        urlaccessdate = "24 jan. 2021"
}


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