气候变化领域集成服务门户(CCPortal): Satellite-based precipitation estimates using a dense rain gauge network over the Southwestern Brazilian Amazon: Implication for identifying trends in dry season rainfall

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DOI	10.1016/j.atmosres.2021.105741
	Satellite-based precipitation estimates using a dense rain gauge network over the Southwestern Brazilian Amazon: Implication for identifying trends in dry season rainfall
	Mu Y.; Biggs T.; Shen S.S.P.
发表日期	2021
ISSN	0169-8095
卷号	261
英文摘要	Accurate long-term estimates of rainfall at fine spatial and temporal resolution are vital for hydrometeorology and climatology studies, but such data are often unavailable in remote regions. We assessed the accuracy of three satellite-based precipitation products that have data from 1981 to 2019 over the state of Rondônia in the Brazilian Amazon: (a) satellite-only, using the Climate Hazards Group Infrared Precipitation (CHIRP) product, (b) CHIRP with sparse gauge data (CHIRPS), and (c) CHIRPS calibrated with data from a dense rain gauge network (N = 73) (dnCHIRPS). We evaluated the rainfall products using additional validation gauges (N = 55) at the monthly and seasonal time scales and compared their drought events and temporal trends. Both CHIRP (10.0 mm/month mean error (ME), 23.6% percent bias (PB)) and CHIRPS (−0.08ME, 7.4% PB) underestimate high monthly rainfall in the wet season and overestimate low monthly rainfall during the dry season. dnCHIRPS had a lower error in monthly rainfall (−0.01ME, 1.1%PB) compared with CHIRP and CHIRPS, with the largest percentage difference between dnCHIRPS and the other two datasets in the dry season. dnCHIRPS captured decreasing trends in dry season rainfall over agricultural parts of the state, trends that were missed by the other two products. We conclude that a high density of rain gauges is essential for documenting the spatial pattern and trends in rainfall during the dry season and droughts in this important agricultural region of the Amazon basin. © 2021 The Authors
英文关键词	Amazon; CHIRPS; Extreme rainfall; Precipitation; Rainfall trends
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/236640
作者单位	Department of Geography, San Diego State University, San Diego, CA, United States; Department of Mathematics and Statistics, San Diego State University, San Diego, CA, United States
推荐引用方式 GB/T 7714	Mu Y.,Biggs T.,Shen S.S.P.. Satellite-based precipitation estimates using a dense rain gauge network over the Southwestern Brazilian Amazon: Implication for identifying trends in dry season rainfall[J],2021,261.
APA	Mu Y.,Biggs T.,&Shen S.S.P..(2021).Satellite-based precipitation estimates using a dense rain gauge network over the Southwestern Brazilian Amazon: Implication for identifying trends in dry season rainfall.Atmospheric Research,261.
MLA	Mu Y.,et al."Satellite-based precipitation estimates using a dense rain gauge network over the Southwestern Brazilian Amazon: Implication for identifying trends in dry season rainfall".Atmospheric Research 261(2021).