气候变化领域集成服务门户(CCPortal): Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: A case study of the Piranhas River basin; northeastern Brazil

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DOI	10.1016/j.atmosres.2020.105380
	Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: A case study of the Piranhas River basin; northeastern Brazil
	Brito C.S.D.; Silva R.M.D.; Santos C.A.G.; Brasil Neto R.M.; Coelho V.H.R.
发表日期	2021
ISSN	0169-8095
卷号	250
英文摘要	Extreme weather events have frequently caused serious damage to the quality of life of the population and the economy of the Brazilian semiarid region, where droughts are the main natural disaster. Therefore, a robust and skilled data network is needed for precise monitoring of droughts, and satellite precipitation products have stood out as useful alternative methods for providing estimated precipitation data. Thus, the objective of this study was to evaluate the efficiency of satellite-estimated long-term precipitation for monitoring meteorological drought in a semiarid region. This study was carried out in the Piranhas River basin, northeastern Brazil, using the following data (1994–2017): (a) observations at 38 rain gauges, (b) the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network – Climate Data Record (PERSIANN-CDR), and (c) Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data. To assess the short-, medium- and long-term meteorological droughts, standardized precipitation indices (SPI-6, SPI-12 and SPI-24) were used in semiannual, annual and biannual time scale analyses. The results showed that the CHIRPS and PERSIANN-CDR data presented acceptable performance in the identification of meteorological droughts in the study area. The results also showed that the time scales of the SPI-6, SPI-12 and SPI-24 datasets were adequate for identifying the main drought events that have affected the Piranhas River basin in recent years. The PERSIANN-CDR data performed better than the CHIRPS data, although the two datasets described the occurrence of droughts in the basin well. In summary, the study showed that CHIRPS and PERSIANN-CDR are valuable complements to rain gauge-measured rainfall data and that these datasets could be additional sources for hydrometeorological applications in the Piranhas River basin. © 2020 Elsevier B.V.
英文关键词	Estimated rainfall; Northeast Brazil; Remote sensing; Scarcity; Semiarid region; SPI
语种	英语
scopus关键词	Arid regions; Chirp modulation; Clock and data recovery circuits (CDR circuits); Disasters; Drought; Neural networks; Rain gages; Rivers; Satellites; Watersheds; Acceptable performance; Climate data records; Extreme weather events; Meteorological drought; Precipitation estimation from remotely sensed information; Satellite precipitation products; Standardized precipitation index; Time scale analysis; Rain; data set; drought; meteorology; monitoring; precipitation (climatology); rainfall; remote sensing; satellite data; semiarid region; Brazil; Piranhas River; Rio Grande do Norte; Characiformes
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/162016
作者单位	Federal University of Paraíba, Graduate Program of Civil and Environmental Engineering, João Pessoa, PB 58051-900, Brazil; Federal University of Paraíba, Department of Geosciences, João Pessoa, PB 58051-900, Brazil
推荐引用方式 GB/T 7714	Brito C.S.D.,Silva R.M.D.,Santos C.A.G.,et al. Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: A case study of the Piranhas River basin; northeastern Brazil[J],2021,250.
APA	Brito C.S.D.,Silva R.M.D.,Santos C.A.G.,Brasil Neto R.M.,&Coelho V.H.R..(2021).Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: A case study of the Piranhas River basin; northeastern Brazil.Atmospheric Research,250.
MLA	Brito C.S.D.,et al."Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: A case study of the Piranhas River basin; northeastern Brazil".Atmospheric Research 250(2021).