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Exploring hydro-meteorological drought patterns over the Greater Horn of Africa (1979-2014) using remote sensing and reanalysis products

机译:使用遥感和再分析产品探索非洲大角地区(1979-2014)的水文气象干旱模式

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摘要

Spatio-temporal patterns of hydrological droughts over the Greater Horn of Africa (GHA) are explored based on total water storage (TWS) changes derived from time-variable gravity field solutions of Gravity Recovery And Climate Experiment (GRACE, 2002-2014), together with those simulated by Modern Retrospective Analysis for Research Application (MERRA, 1980-2014). These hydrological extremes are then related to meteorological drought events estimated from observed monthly precipitation products of Global Precipitation Climatology Center (GPCC, 1979-2010) and Tropical Rainfall Measuring Mission (TRMM, 1998-2014). The major focus of this contribution lies on the application of spatial Independent Component Analysis (sICA) to extract distinguished regions with similar rainfall and TWS with similar overall trend and seasonality. Rainfall and TWS are used to estimate Standard Precipitation Indices (SPIs) and Total Storage Deficit Indices (TSDIs), respectively that are employed to characterize frequency and intensity of hydro-meteorological droughts over GHA. Significant positive (negative) changes in monthly rainfall over Ethiopia (Sudan) between 2002 and 2010 leading to a significant increase in TWS over the central GHA region were noted in both MERRA and GRACE TWS (2002-2014). However, these trends were completely reversed in the long-term (1980-2010) records of rainfall (GPCC) and TWS (MERRA). The four independent hydrological sub-regions extracted based on the sICA (i.e., Lake Victoria Basin, Ethiopia Sudanese border, South Sudan, and Tanzania) indicated fairly distinct temporal patterns that matched reasonably well between precipitation and TWS changes. While meteorological droughts were found to be consistent with most previous studies in all sub-regions, their impacts are clearly observed in the TWS changes resulting in multiple years of extreme hydrological droughts. Correlations between SPI and TSDI were found to be significant over Lake Victoria Basin, South Sudan, and Tanzania. The low correlations between SPI and TSDI over Ethiopia are likely related to inconsistency between TWS and precipitation signals. Further, we found that hydrological droughts in these regions were significantly associated with Indian Ocean Dipole (IOD) events while El Nifio Southern Oscillation (ENSO) plays a secondary role. (C) 2016 Elsevier Ltd. All rights reserved.
机译:基于重力恢复和气候实验(GRACE,2002-2014年)的时变重力场解的总储水量(TWS)变化,探索了大非洲之角(GHA)的水文干旱时空格局。以及通过现代追溯分析进行研究应用(MERRA,1980-2014)模拟的结果。然后,这些极端的水文现象与根据全球降水气候中心(GPCC,1979-2010)和热带雨量测量团(TRMM,1998-2014)观测到的每月降水量估计的气象干旱事件有关。该贡献的主要焦点在于应用空间独立分量分析(sICA)来提取降雨量相似的特有地区和总体趋势和季节性相似的TWS。降雨和TWS分别用于估算标准降水指数(SPI)和总存储赤字指数(TSDI),用于表征GHA上水文气象干旱的频率和强度。 MERRA和GRACE TWS(2002-2014年)均注意到,2002年至2010年期间,埃塞俄比亚(苏丹)的月降雨量出现明显的正(负)变化,导致整个GHA地区的TWS显着增加。但是,长期(1980-2010年)的降雨(GPCC)和TWS(MERRA)记录完全扭转了这些趋势。根据sICA提取的四个独立的水文分区域(维多利亚湖盆地,埃塞俄比亚苏丹边界,南苏丹和坦桑尼亚)显示出截然不同的时间模式,这些时间模式在降水和TWS变化之间相当合理地匹配。虽然发现气象干旱与以前在所有次区域的大多数研究一致,但在TWS的变化导致多年的极端水文干旱中清楚地观察到了它们的影响。在维多利亚湖盆地,南苏丹和坦桑尼亚,发现SPI和TSDI之间的相关性显着。埃塞俄比亚SPI和TSDI之间的低相关性可能与TWS和降水信号之间的不一致有关。此外,我们发现这些地区的水文干旱与印度洋偶极子(IOD)事件显着相关,而厄尔尼诺南部涛动(ENSO)起次要作用。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Advances in Water Resources》 |2016年第8期|45-59|共15页
  • 作者单位

    Curtin Univ, Western Australian Ctr Geodesy, Perth, WA, Australia|Curtin Univ, Inst Geosci Res, Perth, WA, Australia|Karlsruhe Inst Technol, Geodet Inst, Karlsruhe, Germany|Kyoto Univ, Dept Geophys, Kyoto 6068501, Japan;

    Curtin Univ, Western Australian Ctr Geodesy, Perth, WA, Australia|Curtin Univ, Inst Geosci Res, Perth, WA, Australia;

    Univ Bonn, Inst Geodesy & Geoinformat, Bonn, Germany;

    Curtin Univ, Western Australian Ctr Geodesy, Perth, WA, Australia|Curtin Univ, Inst Geosci Res, Perth, WA, Australia|Univ Bonn, Inst Geodesy & Geoinformat, Bonn, Germany|Cardiff Univ, Sch Earth & Ocean Sci, Cardiff, S Glam, Wales;

    Karlsruhe Inst Technol, Geodet Inst, Karlsruhe, Germany;

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

    Greater Horn of Africa; Total storage deficit index (TSDI); Standardized precipitation index (SPI); Spatial independent component analysis (sICA); ENSO; IOD;

    机译:非洲大角州;总存储赤字指数(TSDI);标准降水指数(SPI);空间独立成分分析(sICA);ENSO;IOD;

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