@InProceedings{CallegareBrSiRuSaPa:2018:ReASi,
               author = "Callegare, Andyara Oliveira and Bressiani, Danielle de Almeida and 
                         Silva, Jonathan Mota da and Ruman, Caio Jorge and Saad, Sandra and 
                         Palma, Gilca",
                title = "The relationship between a simplified water balance and total soil 
                         water storage in south american basins",
            booktitle = "Anais...",
                 year = "2018",
               editor = "Herdies, Dirceu Luis and Coelho, Simone Marilene Sievert da 
                         Costa",
         organization = "Encontro dos alunos de p{\'o}s-gradua{\c{c}}{\~a}o em 
                         meteorologia do CPTEC/INPE, 17. (EPGMET)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Thornthwaite and Mather, evapotranspiration, GRACE.",
             abstract = "Global changes, as in land use and climate, impact the water 
                         balance, and managing this natural resource is key to obtain 
                         better crop yields and reduce waste. Improvements in environmental 
                         forecasting models are constant and every day they get more 
                         complex, still, even a simple model has its uses, like the water 
                         balance of Thornthwaite and Mather that represents in a 
                         minimalistic way how water interacts within the superficial soil 
                         layer, and although its simplicity its used until today in 
                         practical applications. The simplifications include that the only 
                         way water enters into the system is through rainfall and exits, 
                         mostly through evapotranspiration. The meteorological data needed 
                         is only precipitation and temperature, the latter one is used to 
                         estimate the evapotranspiration. Although GRACE satellite measures 
                         the anomaly of the total water storage, this means all the water 
                         from the surface to the deepest aquifers, a relationship with the 
                         upper layer is expected. This study focused on data ranging from 
                         all GRACE mission, 2002 to 2017, on the major South American 
                         basins. The water balance used NOAA CPC precipitation and 
                         NCEP/NCAR temperature reanalysis data, soil water holding capacity 
                         comes from the most recent ISRIC database. The 2 biggest ones are 
                         the Amazon Basin with ~5.970.775 km2 and La Plata Basin with 
                         ~3.016.800 km2, both with huge significance in food and water 
                         safety and environmental concerns. For the Amazon Basin the model 
                         was able to represent well the dry periods, but underestimated the 
                         intensity of the wet periods, showing signs of saturated soil. The 
                         response between the upper layer to the aquifer had approximately 
                         1 month of lag, providing a great decision support tool to help 
                         manage water stress, prior to a drought period. The model for La 
                         Plata basin represented well the variability until 2013, after 
                         that theres a clear signal of prolonged positive anomalies on the 
                         total water storage, on this basin the response between the upper 
                         layer to aquifer was immediate. In conclusion, the model showed 
                         important results when compared to remote sensing, even with its 
                         limitations, it can be used as a decision support tool to monitor 
                         and predict the soil water content. Climatempos own farmers 
                         decision support tool AgroclimaPr{\'o} is using the model with 
                         observed data and weather forecast to monitor and predict the soil 
                         water changes.",
  conference-location = "Cachoeira Paulista",
      conference-year = "22-26 out. 2018",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3SR4FQ5",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3SR4FQ5",
           targetfile = "AP1-02.pdf",
                 type = "Meteorologia Ambiental e Polui{\c{c}}{\~a}o Atmosf{\'e}rica",
        urlaccessdate = "19 maio 2024"
}