更新Köppen和Thornthwaite and Mather(1955)南亚马逊河流域气候分类系统

Paulo André da Silva Martins, C. Querino, Juliane Kayse Albuquerque da Silva Querino, M. A. L. Moura, D. D. Nunes, N. Machado, M. Biudes
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摘要

气候分类系统(CCS)在确定地理边界和农业气候带方面起着重要作用。因此,本文的主要目的是确定和评价Köppen和Thornthwaite and Matter(1955)对亚马逊河中南部地区的气候分类。这些数据是由巴西国家气象研究所(INMET)在10年内(2008年4月至2018年4月)收集的,这些自动气象站安装在巴西亚马逊州的humait、Apuí、manicor、Boca do Acre和Lábrea市。结果表明,在整个分析区域内,Köppen的CCS呈现出相同的气候类型和气候亚型。Thornthwaite和Mather(1955)的分类对热气候和水气候变化表现出更大的敏感性,考虑到各自的水平衡产生的信息,如缺水和盈余、实际和潜在,总共有4(4)种气候类型和5(5)种气候亚型,可以作为土地或耕地研究的补贴。另一方面,Koppen分类法显示了更适合宏观尺度的更一般的结果。这样,Thornthwaite and Mather(1955)的气候分类方法在研究区域的准确性优于Köppen方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Updating of the Köppen and Thornthwaite and Mather (1955) climate classification system for the Southern Amazonas
The Climate Classification Systems (CCS) play an important role to define the geographic boundaries and agroclimatic zone. Thus, the main aim of this paper was to determine and evaluate the Köppen and Thornthwaite and Matter (1955) climatic classification for the Southern mesoregion of Amazonas. The data have been collected throughout 10 years (April 2008 through April 2018) by the National Meteorological Institute (INMET) automatic weather stations installed in the municipalities of Humaitá, Apuí, Manicoré, Boca do Acre, and Lábrea, Amazonas State, Brazil. The results have shown that Köppen’s CCS has presented the same type and subtype of climate, to the entire analyzed region. Thornthwaite and Mather's (1955) classification showed greater sensitivity to thermal and water climate variation, totaling 4 (four) types and 5 (five) climate subtypes considering the information generated by the respective water balances such as water deficit and surplus, real and potential, which can serve as a subsidy for studies of land or arable areas. On the other hand, the Koppen classification indicated more general results that are better suited to the macroscale. In this way, the climate classification of Thornthwaite and Mather (1955) showed better accuracy than the Köppen method for the study region.
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