J. A. Lorençone, L. E. D. O. Aparecido, P. A. Lorençone, Rafael Fausto Lima, G. Torsoni
{"title":"Assessment of Climate Change Using Humidity index of Thornthwaite Climate Classification in Pantanal Biome","authors":"J. A. Lorençone, L. E. D. O. Aparecido, P. A. Lorençone, Rafael Fausto Lima, G. Torsoni","doi":"10.1590/0102-7786370075","DOIUrl":null,"url":null,"abstract":"Abstract Thornthwaite climate classification indices are essential to interpret climate types in the state of the pantanal biome (Mato Grosso do Sul), simplifying calculation process and interpretation of climatological water balance by farmers. However, there are few studies found in the literature that characterize the climate of pantanel biome in different climatic scenarios. We seek to assess climate change using humidity index of Thornthwaite climate classification in pantanal biome. We used historical series of climate data from all 79 municipalities of Mato Grosso do Sul between 1987 and 2017, which were divided into microregions. Air temperature and precipitation were collected on a daily scale. Precipitation and potential evapotranspiration data allowed calculating water balance by the Thornthwaite and Mather method. We characterized all locations as wet and dry using aridity indices proposed by Thornthwaite. The global climate model used was BCC-CSM 1.1 developed at the Beijing Climate Center (BCC) with a resolution of 125 x 125 km. We used the scenarios RCP-2.6, RCP-4, RCP-6 and RCP-8.5 for analyzing 21st century projections (2041-2060 and 2061-2080 periods). Maps were generated from climate indices of Mato Grosso do Sul using kriging interpolation method with spherical model, one neighbor, and 0.25° resolution. The microregions showed different patterns regarding water balance components and humidity index. Humidity index had a mean of 15.94. The prevailing climate in the state of Mato Grosso do Sul is C2 (moist subhumid). The state of Mato Grosso do Sul has two well-defined periods during the year: a dry and a rainy period. Three climate types predominate in Mato Grosso do Sul and, according to the Thornthwaite classification, are B1 (humid), C2 (moist subhumid), and C1 (dry subhumid). Water characterization in Mato Grosso do Sul showed 234.78 mm year−1 of water surplus, 80.8 mm year−1 of water deficit, and 1,114.8 mm year−1 of potential evapotranspiration. Water deficit and potential evapotranspiration decrease as latitude increases. The climatic projections show, in all scenarios, reduce the area classified as umida in the state (B1, B2 and B3), besides adding the dry subhumid class (C1). The Scenario RCP 8.5 in 2061 - 2080 is the most worrisome situation of all, because the state can undergo major changes, especially in the pantanal biome region.","PeriodicalId":38345,"journal":{"name":"Revista Brasileira de Meteorologia","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Meteorologia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/0102-7786370075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract Thornthwaite climate classification indices are essential to interpret climate types in the state of the pantanal biome (Mato Grosso do Sul), simplifying calculation process and interpretation of climatological water balance by farmers. However, there are few studies found in the literature that characterize the climate of pantanel biome in different climatic scenarios. We seek to assess climate change using humidity index of Thornthwaite climate classification in pantanal biome. We used historical series of climate data from all 79 municipalities of Mato Grosso do Sul between 1987 and 2017, which were divided into microregions. Air temperature and precipitation were collected on a daily scale. Precipitation and potential evapotranspiration data allowed calculating water balance by the Thornthwaite and Mather method. We characterized all locations as wet and dry using aridity indices proposed by Thornthwaite. The global climate model used was BCC-CSM 1.1 developed at the Beijing Climate Center (BCC) with a resolution of 125 x 125 km. We used the scenarios RCP-2.6, RCP-4, RCP-6 and RCP-8.5 for analyzing 21st century projections (2041-2060 and 2061-2080 periods). Maps were generated from climate indices of Mato Grosso do Sul using kriging interpolation method with spherical model, one neighbor, and 0.25° resolution. The microregions showed different patterns regarding water balance components and humidity index. Humidity index had a mean of 15.94. The prevailing climate in the state of Mato Grosso do Sul is C2 (moist subhumid). The state of Mato Grosso do Sul has two well-defined periods during the year: a dry and a rainy period. Three climate types predominate in Mato Grosso do Sul and, according to the Thornthwaite classification, are B1 (humid), C2 (moist subhumid), and C1 (dry subhumid). Water characterization in Mato Grosso do Sul showed 234.78 mm year−1 of water surplus, 80.8 mm year−1 of water deficit, and 1,114.8 mm year−1 of potential evapotranspiration. Water deficit and potential evapotranspiration decrease as latitude increases. The climatic projections show, in all scenarios, reduce the area classified as umida in the state (B1, B2 and B3), besides adding the dry subhumid class (C1). The Scenario RCP 8.5 in 2061 - 2080 is the most worrisome situation of all, because the state can undergo major changes, especially in the pantanal biome region.
摘要Thornthwaite气候分类指数对于解释南马托格罗索州pantanal生物群落的气候类型、简化计算过程和农民对气候水平衡的解释至关重要。然而,文献中很少有研究能够描述不同气候情景下潘坦尔生物群落的气候特征。我们试图使用Thornthwaite气候分类的湿度指数来评估潘塔纳尔生物群落的气候变化。我们使用了1987年至2017年间南马托格罗索所有79个市镇的一系列历史气候数据,这些数据被划分为微观区域。每天收集气温和降水量。降水量和潜在蒸散量数据允许使用Thornthwaite和Mather方法计算水平衡。我们使用Thornthwaite提出的干旱指数将所有地点定性为潮湿和干燥。使用的全球气候模型是北京气候中心开发的BCC-CSM 1.1,分辨率为125 x 125公里。我们使用情景RCP-2.6、RCP-4、RCP-6和RCP-8.5来分析21世纪的预测(2041-2060和2061-2080年)。地图是根据南马托格罗索省的气候指数使用克里格插值方法生成的,该方法具有球面模型、一个邻居和0.25°分辨率。微区在水分平衡成分和湿度指数方面表现出不同的模式。湿度指数平均值为15.94。南马托格罗索州的主要气候为C2(湿润-亚湿润)。南马托格罗索州一年中有两个明确的时期:干旱期和雨季。南马托格罗索州主要有三种气候类型,根据Thornthwaite分类法,它们是B1(湿润)、C2(湿润-亚湿润)和C1(干燥-亚潮湿)。南马托格罗索州的水特征显示,234.78毫米年-1的水盈余,80.8毫米年-1的水赤字,以及1114.8毫米年-1潜在蒸散。水分亏缺和潜在蒸散量随着纬度的增加而减少。气候预测显示,在所有情况下,除了增加干燥亚湿润级别(C1)外,还减少了该州被归类为湿润级别的面积(B1、B2和B3)。2061-2080年的RCP 8.5情景是最令人担忧的情况,因为该州可能会发生重大变化,尤其是在泛肛门生物群落地区。