@InProceedings{SousaMareMacaZou:2020:CoDrPe,
               author = "Sousa, Natanael Vieira de and Marengo, Jos{\'e} Ant{\^o}nio and 
                         Macau, Elbert Einstein Nehrer and Zou, Yong",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         de S{\~a}o Paulo (UNIFESP)} and {East China Federal University}",
                title = "Comparison between drougth period length at 3 sites as triangle 
                         form at semi-arid region north-neb in 2016 (rainy season low 
                         level) and 2019 (rainy season middle level)",
            booktitle = "Resumos.../P{\^o}steres",
                 year = "2020",
               editor = "Galetti, Giovana Deponte and Sena, Caio {\'A}tila Pereira and 
                         Mand{\'u}, Tiago Bentes and Jacondino, William Duarte and Alves, 
                         Laurizio Emanuel Ribeiro and Afonso, Eliseu Oliveira Afonso",
         organization = "Encontro dos Alunos de P{\'o}s-Gradua{\c{c}}{\~a}o em 
                         Meteorologia do CPTEC/INPE, 19. (EPGMET)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Complexnet, Drougth period length, Semi-arid region, Caatinga 
                         biome, Teleconnections.",
             abstract = "The North-NEB region (Ceara state) has a arid climate. The rainy 
                         season level depending on teleconnections such as NINO/NINA and 
                         Madden-Julian as well Oscillation Inter Tropical Convergence Zone. 
                         The predictives variables of these phenomena are pressure, sea 
                         temperature surface, radiation and others. The aim of this work is 
                         development of time series analysis techniques with spatial 
                         semi-logarithmic distribution based on the complex networks 
                         formalism with applications for understanding the differences 
                         between droughts period length (DPL) at North-Northeast Brazil 
                         (Ceara state - NEB) at 3 sites as triangle form at semi-arid 
                         region in 2016 (Experiment 1: rainy season low level) and 2019 
                         (Experiment 2: rainy season middle level). Data: The study has two 
                         periods: 01/01/2016 until 12/31/2016 and 01/01/2019 until 
                         12/31/2019. The triangle vertex are site1-point (Momba{\c{c}}a 
                         city Lat -5.44 , Lon -39.37); site 2-point (Quixeramobim city Lat 
                         -5.19, Lon -39.29);site 3-point (Solonopole city Lat -5.72, Lon 
                         -39.00). Time series rainfall daily was obtained by GPCP data base 
                         0.5 degree resolution at average {\'a}rea as box 2S-9S, 45W-30W 
                         (30 years ago). To SST [0.25 d.r.] and SLP [2.5 d.r.]. were 
                         applied at average NINO 3.4 region 5N-5S, 120- 170W (30 years 
                         ago). Tropical North Atlantic SST averaged over the domain 6-22N 
                         and 80-15W (30 years ago), to South Atlantic SST average 25S-2N 
                         and 35W-10E. Relativity Humidity [2.5 d.r.] area between 40- 20W, 
                         15S-1S (30 years ago). Long Wave Radiation anomaly Hovmoller 
                         diagram [1 d.r.] 5N-5S , 20E-120W, in 20-70 days(Exp_1 2016/ Exp_2 
                         2019). Methods: First to SPL and after other variables: get the 
                         differrentiated series deltaSPL = SPL (t+1) - SPL (t); SPL will be 
                         in phase increase is deltaSPL is positive, in contrast SPL will be 
                         in phase decrease if deltaSPL is negative, i.e., increase (or 
                         decrease) trends in sea level pressure averaged over a one-month M 
                         window time. To quantify the changes in spatial difference will 
                         use r(m,d), r(d) season metric (ave: Feb., Mar., Apr., May.), were 
                         used too r(m,s) to drougth period. As conclusions of this 
                         research, the authors wait to get the different triggers to DPL, 
                         aplications of complex networks formalisms, based meteorological 
                         explications depending on kind of rainy season at the triangle 
                         region in semi-arid region at Ceara state (North-Northeast 
                         Brazil). The authors intend to document the entry, stay and exit 
                         of weather systems in the triangle region.",
  conference-location = "Online",
      conference-year = "16-19 nov. 2020",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/43MDAML",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/43MDAML",
           targetfile = "GT1_NATANAEL.SOUSA.TRAB2 - Natanael Sousa.pdf",
                 type = "Estudos e Modelagem do Tempo e Clima",
        urlaccessdate = "08 maio 2024"
}