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SPI Modes of Drought Spatial and Temporal Variability in Portugal: Comparing Observations, PT02 and GPCC Gridded Datasets

机译:葡萄牙干旱时空变化的SPI模式:比较观测值,PT02和GPCC网格数据集

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摘要

Regional drought modes in Portugal are identified applying the Principal Component Analysis (PCA) and Varimax rotation to the Standardized Precipitation Index (SPI) computed on various time scales using the three precipitation datasets covering the period 1950-2003: (ⅰ) The observation dataset composed of 193 rain-gauges distributed almost uniformly over the country, (ⅱ) the PT02 high-resolution gridded dataset provided by the Portuguese Meteorological Institute, and (ⅲ) the GPCC dataset with 0.5° spatial resolution. Results suggest that the three datasets well agree in identifying the principal drought modes, i.e. two sub-regions in northern and southern Portugal with independent climate variability. The two sub-regions appear stable when the SPI time scale is varied from 3- to 24-month, and the associated rotated principal component scores (RPCs) do not show any statistically significant linear trend. The degree of similarity between the rotated loadings or REOFs of different SPI time scales for the three used datasets was examined through the congruence coefficients, whose results show a good agreement between the three datasets in capturing the main Portuguese sub-regions. A third spatial mode in central-eastern Portugal was identified for SPI-24 in PT02, with the associated RPC characterized by a statistically significant downward trend. The stability of the identified sub-regions as a function of studied time period was also evaluated applying the same methodologies to a set of three different time windows and it was found that the southern sub-region is very stable but the northern and central-eastern sub-regions are very sensitive to the selected time window.
机译:使用涵盖1950-2003年期间的三个降水数据集,使用主成分分析(PCA)和Varimax旋转对在不同时间尺度上计算出的标准降水指数(SPI)进行识别,确定葡萄牙的区域干旱模式: 193个雨量计几乎均匀分布在全国各地,(ⅱ)葡萄牙气象研究所提供的PT02高分辨率网格化数据集,以及(ⅲ)具有0.5°空间分辨率的GPCC数据集。结果表明,这三个数据集在确定主要干旱模式方面非常吻合,即葡萄牙北部和南部的两个具有独立气候变异性的分区。当SPI时间范围从3到24个月变化时,两个子区域显得稳定,并且相关的旋转主成分评分(RPC)没有显示任何统计学上显着的线性趋势。通过同余系数,对三个使用过的数据集的不同SPI时间尺度的旋转载荷或REOF之间的相似度进行了检验,其同余系数的结果表明,这三个数据集在捕获葡萄牙主要分区方面具有良好的一致性。在PT02中的SPI-24中确定了葡萄牙中东部的第三种空间模式,相关的RPC具有统计学上显着的下降趋势。还使用相同的方法对一组三个不同的时间窗进行评估,确定了所确定的次区域作为研究时间段的函数的稳定性,发现南部子区域非常稳定,而北部和中东部子区域对所选时间窗口非常敏感。

著录项

  • 来源
    《Water Resources Management》 |2015年第2期|487-504|共18页
  • 作者单位

    CEER-Biosystems Engineering, Institute of Agronomy, University of Lisbon, Tapada da Ajuda, 81349-017 Lisboa, Portugal,Soil Conservation and Watershed Management Research Institute (SCWMRI), Tehran, Iran;

    CEER-Biosystems Engineering, Institute of Agronomy, University of Lisbon, Tapada da Ajuda, 81349-017 Lisboa, Portugal;

    Department of Physics, Sapienza University of Rome, Rome, Italy;

    Department of Engineering, Polytechnic Institute of Beja, Lisbon, Portugal;

    Department of Civil Engineering, SHRH, Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal;

    CEER-Biosystems Engineering, Institute of Agronomy, University of Lisbon, Tapada da Ajuda, 81349-017 Lisboa, Portugal;

    Department of Physics, Sapienza University of Rome, Rome, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Regional drought patterns; SPI; Gridded dataset; Principal component analysis; Trend analysis;

    机译:区域干旱模式;SPI;网格数据集;主成分分析;趋势分析;

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