分位数匹配自举法的气候预测:以东努沙登加拉岛科莫多岛的温度和降水为例

Rosyida Inas, H. Kuswanto, K. Fithriasari
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引用次数: 2

摘要

改变地球大气的物理条件包括温度和降雨的分布,这对人类生活的各个方面都有广泛的影响。根据《印度尼西亚粮食安全监测公报》,印度尼西亚东努沙登加拉省(以下简称NTT)的科莫多气象站报告说,科莫多是印度尼西亚发生的气候变化造成干旱影响的地区中最优先考虑的地区之一。本研究采用分位匹配Bootstrap (QMB)方法对科莫多岛的气候进行预测,该方法是将块引导模拟技术与分位预测和匹配方法相结合,模拟未来的日常气候数据。预估数据受到从全球气候模式导出的预测因子与观测数据之间关系的影响。这项研究是通过检查科莫多气象站的日降雨量和日最高气温观测数据进行的。在本文中……
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate projection using quantile matching bootstrap: A case of temperature and precipitation in Komodo Island, East Nusa Tenggara
Changing the physical conditions of the Earth’s atmosphere include temperature and distribution of rainfall, which has a wide impact on various sectors of human life. According to the Indonesia Food Security Monitoring Bulletin, Komodo Meteorological Station in East Nusa Tenggara (hereafter denoted as NTT) Province in Indonesia has reported that Komodo was the one of first priority in the classification of districts experiencing drought impacts from climate change that occurred in Indonesia. The study aimed to climate projection in Komodo using the Quantile Matching Bootstrap (QMB) method, which is the block bootstrap simulation technique combined with a quantile prediction and matching method for simulating future daily climate data. The projected data is influenced by the relationship of predictors derived from the Global Climate Models to the observed data. The study was carried out by examining daily rainfall and daily maximum temperature observed data from Komodo Meteorological Station. In this paper...
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