NDLI: Development of a global historic monthly mean precipitation dataset

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Development of a global historic monthly mean precipitation dataset

Content Provider	Springer Nature Link
Author	Yang, Su Xu, Wenhui Xu, Yan Li, Qingxiang
Copyright Year	2016
Abstract	Global historic precipitation dataset is the base for climate and water cycle research. There have been several global historic land surface precipitation datasets developed by international data centers such as the US National Climatic Data Center (NCDC), European Climate Assessment & Dataset project team, Met Office, etc., but so far there are no such datasets developed by any research institute in China. In addition, each dataset has its own focus of study region, and the existing global precipitation datasets only contain sparse observational stations over China, which may result in uncertainties in East Asian precipitation studies. In order to take into account comprehensive historic information, users might need to employ two or more datasets. However, the non-uniform data formats, data units, station IDs, and so on add extra difficulties for users to exploit these datasets. For this reason, a complete historic precipitation dataset that takes advantages of various datasets has been developed and produced in the National Meteorological Information Center of China. Precipitation observations from 12 sources are aggregated, and the data formats, data units, and station IDs are unified. Duplicated stations with the same ID are identified, with duplicated observations removed. Consistency test, correlation coefficient test, significance t-test at the 95% confidence level, and significance F-test at the 95% confidence level are conducted first to ensure the data reliability. Only those datasets that satisfy all the above four criteria are integrated to produce the China Meteorological Administration global precipitation (CGP) historic precipitation dataset version 1.0. It contains observations at 31 thousand stations with 1.87 × 10$^{7}$ data records, among which 4152 time series of precipitation are longer than 100 yr. This dataset plays a critical role in climate research due to its advantages in large data volume and high density of station network, compared to other datasets. Using the Penalized Maximal t-test method, significant inhomogeneity has been detected in historic precipitation datasets at 340 stations. The ratio method is then employed to effectively remove these remarkable change points. Global precipitation analysis based on CGP v1.0 shows that rainfall has been increasing during 1901–2013 with an increasing rate of 3.52 ± 0.5 mm (10 yr)$^{−1}$, slightly higher than that in the NCDC data. Analysis also reveals distinguished long-term changing trends at different latitude zones.
Starting Page	217
Ending Page	231
Page Count	15
File Format	PDF
ISSN	20956037
Journal	Journal of Meteorological Research
Volume Number	30
Issue Number	2
e-ISSN	21980934
Language	English
Publisher	The Chinese Meteorological Society
Publisher Date	2016-05-18
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	global precipitation observation historic data Atmospheric Sciences Meteorology Geophysics and Environmental Physics Atmospheric Protection/Air Quality Control/Air Pollution
Content Type	Text
Resource Type	Article
Subject	Ocean Engineering Atmospheric Science

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