Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6367 |
Development of a near-real-time global in situ daily precipitation dataset for 0000-0000 UTC | |
Yang, Su1; Jones, Phil D.2; Jiang, Hui1; Zhou, Zijiang1 | |
2019-11-27 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | Peoples R China; England |
英文摘要 | In this study, we have developed a global in situ daily precipitation dataset based on quasi-real-time sub-daily observations of precipitation totals for the 0000-0000 UTC (Co-ordinated Universal Time) day everywhere in the world. The sub-daily precipitation data from meteorological stations are obtained via the World Meteorological Organization's (WMO) Global Telecommunication System (GTS) and China Meteorological Administration Net (CMANet) archived by the National Meteorological Information Centre (NMIC) in China and the Integrated Surface Database (ISD) released by the National Centers for Environmental Information (NCEI) in the USA. We have combined these three sources into a global dataset, referred to as NMIC. Accumulated precipitation totals (depending on the country and the WMO region) are transmitted at a variety of times on the GTS. Of these, about 4,500 stations report daily for the 0000-0000 UTC day. Here, we significantly add to this, by developing two-way accumulation algorithms to decompose other reported sub-daily totals to shorter intervals, and then re-cumulate them where possible to the 0000-0000 UTC day. Using these algorithms, we increase by 51.1% of the number of stations during 2009-2016 to around 6,800 day(-1). Additionally, date boundary adjustment (sliding between 1 and 6 hours either side of 0000 UTC) raises the data volume to between 7,800 and 8,700 day(-1). We compare our NMIC product with the First Guess Daily (FGD) product from the Global Precipitation Climatology Centre (GPCC) and GHCN-Daily from NCEI (National Centers for Environmental Information). Root mean square differences between our NMIC and GPCC FGD products over the 2009-2016 period are around 3.4-3.7 mm center dot day(-1) and the average consistency percentage is about 75.1-76.8%. Greater differences between NMIC and GHCN-daily are found which are probably due to the non-uniform date boundary in GHCN-Daily. |
英文关键词 | date boundary global dataset near-real time precipitation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000498774000001 |
WOS关键词 | GRIDDED PRECIPITATION ; CLIMATOLOGY ; GAUGE ; SATELLITE ; TEMPERATURE ; CIRCULATION ; RAINFALL ; NETWORK ; FUTURE ; SERIES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225463 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing, Peoples R China; 2.Univ East Anglia Norwich, Climat Res Unit, Norwich, Norfolk, England |
推荐引用方式 GB/T 7714 | Yang, Su,Jones, Phil D.,Jiang, Hui,et al. Development of a near-real-time global in situ daily precipitation dataset for 0000-0000 UTC[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019. |
APA | Yang, Su,Jones, Phil D.,Jiang, Hui,&Zhou, Zijiang.(2019).Development of a near-real-time global in situ daily precipitation dataset for 0000-0000 UTC.INTERNATIONAL JOURNAL OF CLIMATOLOGY. |
MLA | Yang, Su,et al."Development of a near-real-time global in situ daily precipitation dataset for 0000-0000 UTC".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2019). |
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