气候变化领域集成服务门户(CCPortal): Validation of CHIRPS satellite-based precipitation dataset over Pakistan

CCPortal

DOI	10.1016/j.atmosres.2020.105289
	Validation of CHIRPS satellite-based precipitation dataset over Pakistan
	Nawaz M.; Iqbal M.F.; Mahmood I.
发表日期	2021
ISSN	0169-8095
卷号	248
英文摘要	This study evaluates high resolution Climate Hazard Groups Infrared Precipitation with Stations (CHIRPS) with Surface Precipitation Gauge (SPG) of recent 38 years (1981–2018) through statistical metrics including Mean Error (ME), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Correlation Coefficient (CC) on daily, monthly, annual and seasonal timescales over the entire Pakistan. Trends of both the datasets were also assessed using non-parametric Mann-Kendall (MK) and Modified MK (MMK) tests. CHIRPS (SPG) captured maximum precipitation in the range of 8.5–9.0 (8.0–8.5) mm/day in northeastern parts during the Monsoon season. CHIRPS slightly underestimated SPG in the range of −0.80 to −0.17 mm/day on area averaged precipitation of 46 stations for the period 1981–2018. Maximum ME, MAE, RMSE were observed as 2.0 mm/day, 1.8 mm/day and 1.8 mm/day respectively on annual timescale. Strong linear relationship (CC > 0.70) was noted between CHIRPS and SPG on monthly, Winter, Monsoon and Post-Monsoon season timescales. CHIRPS (SPG) showed increasing trends in 43 (26) stations using MK test and almost similar trend behavior was detected using MMK test on monthly timescale. CHIRPS showed increasing trends for all the six administrative regions for the period 1981–2018 using MK test and same trend behavior was observed using MMK test during the Monsoon season. Overall, good agreement between MK and MMK trend tests were observed with trivial variations in most of the administrative regions. Hence, it is concluded that CHIRPS can be a substitute of SPG in low and medium elevated and data scarce regions. © 2020 Elsevier B.V.
英文关键词	CHIRPS; MK; MMK trends; Pakistan; Statistical metrics; Surface Precipitation Gauge; Validation
语种	英语
scopus关键词	Atmospheric thermodynamics; Errors; Mean square error; Meteorological instruments; Testing; Climate hazards; Correlation coefficient; High resolution; Linear relationships; Mean absolute error; Monsoon season; Root mean square errors; Surface precipitation; Chirp modulation; climate modeling; model validation; monsoon; precipitation (climatology); regional climate; satellite data; satellite imagery; seasonal variation; trend analysis; Pakistan
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/141671
作者单位	Applied Geo-Informatics Research Group, Department of Meteorology, COMSATS University Islamabad (CUI), Islamabad, Pakistan
推荐引用方式 GB/T 7714	Nawaz M.,Iqbal M.F.,Mahmood I.. Validation of CHIRPS satellite-based precipitation dataset over Pakistan[J],2021,248.
APA	Nawaz M.,Iqbal M.F.,&Mahmood I..(2021).Validation of CHIRPS satellite-based precipitation dataset over Pakistan.Atmospheric Research,248.
MLA	Nawaz M.,et al."Validation of CHIRPS satellite-based precipitation dataset over Pakistan".Atmospheric Research 248(2021).