Meteorological Drought Monitoring Based on Satellite CHIRPS Product over Gamo Zone, Southern Ethiopia

IF 2.1 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Amba Shalishe, A. Bhowmick, Kumneger Elias
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引用次数: 2

Abstract

Drought is a frequent occurrence in semidesert areas of southern Ethiopia that significantly affect regional, social, economic, and environmental conditions. Lack of rainfall monitoring network, instrument measurement, and failure are major bottlenecks for agro-and hydroclimate research in developing countries. The objectives of this study were to evaluate the performance of CHIRPS rainfall product and to assess meteorological drought using SPI for the period 2000 to 2020 over Gamo Zone, southern Ethiopia. The performance of CHIRPS v2 was assessed and compared to station observations (2000–2020) in the study domain to derive SPI on a three-month timescale. The Pearson correlation coefficient (R), bias, probability of bias (PBias), mean error (ME), mean absolute error (MAE), root mean square error (RMSE), and Nash simulation efficiency (NSE) values across the zone for CHIRPS v2 were found to be 0.88, 1.02, 2.56, 0.25, 22.41, 33.14, and 0.77, respectively. The results indicate that CHIRPS performed good ability to analyze the drought characteristics in the Gamo Zone. The spatial and temporal distribution method of meteorological drought has been evaluated using the Climate Data Tool (CDT). The Standardized Precipitation Index (SPI) was computed using the gamma distribution method. The magnitude of (SPI-3) of monthly and seasonal (MAM) meteorological drought in the zone from 2000 to 2020. The result shows that the known historic drought years (2014, 2015, 2010, 2009, and 2008) were indicated very well. Furthermore, sever and extreme droughts were observed in 2008 and 2009 with drought duration of 6.7 and 6.3, respectively, in most areas of the zone. Hence, this study revealed that CHIRPS can be a useful supplement for measuring rainfall data to estimate rainfall and drought monitoring in this region.
基于卫星CHIRPS产品的埃塞俄比亚南部加莫地区气象干旱监测
干旱是埃塞俄比亚南部半沙漠地区经常发生的干旱,严重影响了地区、社会、经济和环境状况。缺乏降雨监测网络、仪器测量和故障是发展中国家农业和水文气候研究的主要瓶颈。本研究的目的是评估CHIRPS降雨产品的性能,并利用SPI评估2000 - 2020年埃塞俄比亚南部加莫地区的气象干旱。对CHIRPS v2的性能进行了评估,并将其与研究区域内的站点观测(2000-2020年)进行了比较,以获得三个月时间尺度的SPI。CHIRPS v2的Pearson相关系数(R)、偏倚、偏倚概率(PBias)、平均误差(ME)、平均绝对误差(MAE)、均方根误差(RMSE)和纳什模拟效率(NSE)值分别为0.88、1.02、2.56、0.25、22.41、33.14和0.77。结果表明,CHIRPS具有较好的分析加莫地区干旱特征的能力。利用气候数据工具(CDT)对气象干旱的时空分布方法进行了评价。采用伽玛分布法计算标准化降水指数(SPI)。2000 - 2020年该地区月、季气象干旱(MAM)指数(SPI-3)。结果表明,2014年、2015年、2010年、2009年和2008年的已知历史干旱年份具有较好的指示性。2008年和2009年,大部分地区出现了严重干旱和极端干旱,干旱持续时间分别为6.7和6.3。因此,该研究表明,CHIRPS可以作为测量降雨数据的有益补充,用于估计该地区的降雨和干旱监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Meteorology
Advances in Meteorology 地学天文-气象与大气科学
CiteScore
5.30
自引率
3.40%
发文量
80
审稿时长
>12 weeks
期刊介绍: Advances in Meteorology is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of meteorology and climatology. Topics covered include, but are not limited to, forecasting techniques and applications, meteorological modeling, data analysis, atmospheric chemistry and physics, climate change, satellite meteorology, marine meteorology, and forest meteorology.
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