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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Camargo, Koppen and Thornthwaite climate classification systems in defining climatical regions of the state of SAo Paulo, Brazil
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Camargo, Koppen and Thornthwaite climate classification systems in defining climatical regions of the state of SAo Paulo, Brazil

机译:Camargo,Koppen和Thornthwaite气候分类系统,用于定义巴西圣保罗州的气候区域

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摘要

Climate classification systems (CCS) are important tools to support a sustainable agriculture providing information about basic and general characteristics of a regional climate. The Koppen CCS (KGT) is considered useful mainly in macroscale and Thornthwaite CCS (TH), with a more complex symbology, in mesoscale for climatic determinations. Camargo (1991) (CAM) proposed a new CCS trying to be as simple as Koppen and robust as TH nevertheless with a simple symbology. In the state of SAo Paulo, it is known that regions with distinct availability of seasonal and annual rainfall are classified similarly by KGT, bringing erroneous information to the agricultural credit system, sowing times and yield forecasts. A comparison of different CCS raises a better understanding of a regional climate in different spatial scales and of CCS themselves. Aiming to characterize the climate and the performance of the CAM the KGT, CAM and TH were applied in 334 locations in the state of SAo Paulo, Brazil. The most common CAM climates in the state were subtropical humid with dry winter (ST-UMi) in the Centre and East region of the state, Tropical humid with dry winter (TR-UMi) and Tropical subhumid with dry winter (TR-SBi) in the north and west region, respectively. The total numbers of climates were 7, 19 and 26 from KGT, CAM and TH, respectively. The KGT had the ability in separating climates in macroscale, and CAM and TH in mesoscale. There was a tendency of the three CCS in separating warm and dry from cold and wet regions. The TH and CAM had the same performance (number of climates, NOC) in the extremes regions, in the hotter and dry (northern plateau) and the colder (mountainous regions, altitude>900m) corresponding to 52% of the state (178 locations). In the other areas TH had the double NOC than CAM.
机译:气候分类系统(CCS)是支持可持续农业的重要工具,可提供有关区域气候基本特征和一般特征的信息。人们普遍认为Koppen CCS(KGT)主要用于宏观尺度,而Thornthwaite CCS(TH)具有更复杂的符号学,中尺度可用于气候确定。 Camargo(1991)(CAM)提出了一种新的CCS,它试图通过简单的符号系统像Koppen一样简单并且像TH一样健壮。在圣保罗州,众所周知,KGT对季节性和年度降水量明显不同的地区进行了类似的分类,从而为农业信贷系统,播种时间和产量预报带来了错误的信息。比较不同的CCS可以更好地理解不同空间尺度上的区域气候以及CCS本身。为了表征CAM的气候和性能,在巴西圣保罗州的334个地点使用了KGT,CAM和TH。该州最常见的CAM气候是该州中部和东部地区的亚热带湿润带干燥冬季(ST-UMi),热带湿润带干燥冬季(TR-UMi)和热带亚湿润带干燥冬季(TR-SBi)在北部和西部地区。来自KGT,CAM和TH的气候总数分别为7、19和26。 KGT具有在宏观尺度上分离气候的能力,在中尺度上具有CAM和TH的能力。三个CCS有将温暖和干燥与寒冷和潮湿区分开的趋势。在极端地区,较热和干燥(北部高原)和较冷(山区,海拔> 900m)上,TH和CAM具有相同的性能(气候数量,NOC),相当于该州的52%(178个地点) )。在其他地区,TH的NOC是CAM的两倍。

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