气候变化领域集成服务门户(CCPortal): Rainfall Estimates on a Gridded Network (REGEN) - A global land-based gridded dataset of daily precipitation from 1950 to 2016

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DOI	10.5194/hess-24-919-2020
	Rainfall Estimates on a Gridded Network (REGEN) - A global land-based gridded dataset of daily precipitation from 1950 to 2016
	Contractor S.; Donat M.G.; Alexander L.V.; Ziese M.; Meyer-Christoffer A.; Schneider U.; Rustemeier E.; Becker A.; Durre I.; Vose R.S.
发表日期	2020
ISSN	1027-5606
起始页码	919
结束页码	943
卷号	24 期号:2
英文摘要	We present a new global land-based daily precipitation dataset from 1950 using an interpolated network of in situ data called Rainfall Estimates on a Gridded Network - REGEN. We merged multiple archives of in situ data including two of the largest archives, the Global Historical Climatology Network - Daily (GHCN-Daily) hosted by National Centres of Environmental Information (NCEI), USA, and one hosted by the Global Precipitation Climatology Centre (GPCC) operated by Deutscher Wetterdienst (DWD). This resulted in an unprecedented station density compared to existing datasets. The station time series were qualitycontrolled using strict criteria and flagged values were removed. Remaining values were interpolated to create areaaverage estimates of daily precipitation for global land areas on a 11 latitude-longitude resolution. Besides the daily precipitation amounts, fields of standard deviation, kriging error and number of stations are also provided. We also provide a quality mask based on these uncertainty measures. For those interested in a dataset with lower station network variability we also provide a related dataset based on a network of long-term stations which interpolates stations with a record length of at least 40 years. The REGEN datasets are expected to contribute to the advancement of hydrological science and practice by facilitating studies aiming to understand changes and variability in several aspects of daily precipitation distributions, extremes and measures of hydrological intensity. Here we document the development of the dataset and guidelines for best practices for users with regards to the two datasets. © 2020 BMJ Publishing Group. All rights reserved.
语种	英语
scopus关键词	Climatology; Daily precipitations; Environmental information; Global historical climatology network; Global precipitation; Rainfall estimates; Standard deviation; Station network; Uncertainty measures; Rain; data quality; data set; diurnal variation; hydrometeorology; kriging; network analysis; precipitation intensity; time series analysis; United States
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159488
作者单位	Contractor, S., Climate Change Research Centre, UNSW Sydney, Sydney, Australia, ARC Centre of Excellence for Climate System Science, Sydney, Australia; Donat, M.G., Climate Change Research Centre, UNSW Sydney, Sydney, Australia, ARC Centre of Excellence for Climate Extremes, Sydney, Australia, Barcelona Supercomputing Center, Barcelona, Spain; Alexander, L.V., Climate Change Research Centre, UNSW Sydney, Sydney, Australia, ARC Centre of Excellence for Climate Extremes, Sydney, Australia; Ziese, M., Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany; Meyer-Christoffer, A., Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany; Schneider, U., Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany; Rustemeier, E., Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany; Becker, A., Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany; Durre, I., National Cente...
推荐引用方式 GB/T 7714	Contractor S.,Donat M.G.,Alexander L.V.,et al. Rainfall Estimates on a Gridded Network (REGEN) - A global land-based gridded dataset of daily precipitation from 1950 to 2016[J],2020,24(2).
APA	Contractor S..,Donat M.G..,Alexander L.V..,Ziese M..,Meyer-Christoffer A..,...&Vose R.S..(2020).Rainfall Estimates on a Gridded Network (REGEN) - A global land-based gridded dataset of daily precipitation from 1950 to 2016.Hydrology and Earth System Sciences,24(2).
MLA	Contractor S.,et al."Rainfall Estimates on a Gridded Network (REGEN) - A global land-based gridded dataset of daily precipitation from 1950 to 2016".Hydrology and Earth System Sciences 24.2(2020).