Abstract Despite high impacts of recurrent droughts, studies related to drought characterization and risk assessment is very limited in Iraq due to unavailability of sufficient and reliable climate data. This paper attempts to assess the possibility of using Remotely Sensed Precipitation Data (RSPD) for monitoring droughts in Iraq. Two monthly RSPD namely, TRMM for the period 1998–2017 and PERSIANN for the period 1983–2016 were used for the estimation of Standardized Precipitation Index (SPI) of different climatic zones of the country for three time-scales (SPI-3, SPI-6, and SPI-12). Obtained results were validated using sparsely distributed meteorological Ground Stations (GS) data. The results showed the potential of RSPD in monitoring droughts in Iraq. The RSPD was found capable of capturing the spatial distribution of precipitation estimated using GS data. The correlation coefficients of observed and TRMM SPI-3, SPI-6 and SPI-12 time series were found 0.8, 0.75, and 0.745, respectively, while those for PERSIANN were found 0.74, 0.69, and 0.7, respectively. Moreover, good consistency in SPI time series estimated using RSPD and GS data was observed. The TRMM was also found to estimate the dry periods and the Temporal Coincidence (TC) of droughts more accurately. The results indicated the suitability TRMM precipitation in monitoring droughts in different climatic zones of Iraq.

中文翻译：

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伊拉克半干旱干旱评估遥感降水源评价

摘要 尽管反复干旱的影响很大，但由于缺乏足够可靠的气候数据，伊拉克与干旱特征和风险评估相关的研究非常有限。本文试图评估使用遥感降水数据 (RSPD) 监测伊拉克干旱的可能性。两个月的 RSPD，即 1998-2017 年期间的 TRMM 和 1983-2016 年期间的 PERSIANN 用于估计该国不同气候带三个时间尺度（SPI-3、SPI）的标准化降水指数（SPI） -6 和 SPI-12）。使用稀疏分布的气象地面站 (GS) 数据验证了获得的结果。结果显示了 RSPD 在监测伊拉克干旱方面的潜力。发现 RSPD 能够捕捉使用 GS 数据估计的降水空间分布。观察到的和 TRMM SPI-3、SPI-6 和 SPI-12 时间序列的相关系数分别为 0.8、0.75 和 0.745，而 PERSIANN 的相关系数分别为 0.74、0.69 和 0.7。此外，观察到使用 RSPD 和 GS 数据估计的 SPI 时间序列具有良好的一致性。还发现 TRMM 可以更准确地估计干旱期和干旱的时间巧合 (TC)。结果表明TRMM降水在伊拉克不同气候带干旱监测中的适宜性。此外，观察到使用 RSPD 和 GS 数据估计的 SPI 时间序列具有良好的一致性。还发现 TRMM 可以更准确地估计干旱期和干旱的时间巧合 (TC)。结果表明TRMM降水在伊拉克不同气候带干旱监测中的适宜性。此外，观察到使用 RSPD 和 GS 数据估计的 SPI 时间序列具有良好的一致性。还发现 TRMM 可以更准确地估计干旱期和干旱的时间巧合 (TC)。结果表明TRMM降水在伊拉克不同气候带干旱监测中的适宜性。