Climate Change Data Portal
DOI | 10.1016/j.atmosres.2020.105007 |
Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq | |
Suliman A.H.A.; Awchi T.A.; Al-Mola M.; Shahid S. | |
发表日期 | 2020 |
ISSN | 0169-8095 |
卷号 | 242 |
英文摘要 | 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. © 2020 |
英文关键词 | Droughts; Iraq; PERSIANN; SPI; TRMM |
语种 | 英语 |
scopus关键词 | Remote sensing; Risk assessment; Time series; Climate data; Correlation coefficient; Different climatic zones; Ground stations; High impact; Precipitation data; Standardized precipitation index; Three time-scales; Drought; drought; monitoring system; precipitation assessment; remote sensing; satellite data; spatial distribution; time series analysis; TRMM |
来源期刊 | Atmospheric Research
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/141897 |
作者单位 | Remote Sensing and Nano Photonics Department, Laser and Photonics Research Center, University of Al-Hamdaniya, Nineveh, Iraq; Civil Engineering Department, College of Engineering, University of Kirkuk, Kirkuk, Iraq; Department of Petroleum and Refining Engineering, College of Petroleum and Mining Engineering, University of Mosul, Mosul, Iraq; School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, UTM, Skudai, 81310, Malaysia; Department of Physics, College of Education, University of Al-Hamdaniya, Nineveh, Iraq |
推荐引用方式 GB/T 7714 | Suliman A.H.A.,Awchi T.A.,Al-Mola M.,et al. Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq[J],2020,242. |
APA | Suliman A.H.A.,Awchi T.A.,Al-Mola M.,&Shahid S..(2020).Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq.Atmospheric Research,242. |
MLA | Suliman A.H.A.,et al."Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq".Atmospheric Research 242(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。