Temperature, precipitation and sunshine across China, 1912-51: A new daily instrumental dataset

Ivan P.L. Png; Yehning Chen; Junhong Chu; Yikang Feng; Elaine Kuan Hui Lin; Wan ling Tseng

doi:10.1002/gdj3.91

Temperature, precipitation and sunshine across China, 1912-51: A new daily instrumental dataset

Ivan P.L. Png^*
, Yehning Chen
, Junhong Chu
, Yikang Feng
, Elaine Kuan Hui Lin
, Wan ling Tseng

^*Corresponding author for this work

Graduate Institute of Sustainability Management and Environmental Education

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

This project compiled 463,530 instrumental observations of daily temperature, precipitation and sunshine at up to 319 stations in China between 1912 and 1951. The principal sources are monthly reports of the Institute of Meteorology, Nanjing, observatories in Japanese-occupied Manchuria, and the Japanese Army in North China. Gross errors, rounding errors and inhomogeneities are identified. The new dataset is temporally and spatially consistent with existing datasets of monthly temperature, but reports higher precipitation and sunshine.

Original language	English
Pages (from-to)	90-101
Number of pages	12
Journal	Geoscience Data Journal
Volume	7
Issue number	2
DOIs	https://doi.org/10.1002/gdj3.91
Publication status	Published - 2020 Nov

Keywords

China
data rescue
meteorology

ASJC Scopus subject areas

General Earth and Planetary Sciences

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10.1002/gdj3.91

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title = "Temperature, precipitation and sunshine across China, 1912-51: A new daily instrumental dataset",

abstract = "This project compiled 463,530 instrumental observations of daily temperature, precipitation and sunshine at up to 319 stations in China between 1912 and 1951. The principal sources are monthly reports of the Institute of Meteorology, Nanjing, observatories in Japanese-occupied Manchuria, and the Japanese Army in North China. Gross errors, rounding errors and inhomogeneities are identified. The new dataset is temporally and spatially consistent with existing datasets of monthly temperature, but reports higher precipitation and sunshine.",

keywords = "China, data rescue, meteorology",

author = "Png, \{Ivan P.L.\} and Yehning Chen and Junhong Chu and Yikang Feng and Lin, \{Elaine Kuan Hui\} and Tseng, \{Wan ling\}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley \& Sons Ltd.",

year = "2020",

month = nov,

doi = "10.1002/gdj3.91",

language = "English",

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T1 - Temperature, precipitation and sunshine across China, 1912-51

T2 - A new daily instrumental dataset

AU - Png, Ivan P.L.

AU - Chen, Yehning

AU - Chu, Junhong

AU - Feng, Yikang

AU - Lin, Elaine Kuan Hui

AU - Tseng, Wan ling

PY - 2020/11

Y1 - 2020/11

N2 - This project compiled 463,530 instrumental observations of daily temperature, precipitation and sunshine at up to 319 stations in China between 1912 and 1951. The principal sources are monthly reports of the Institute of Meteorology, Nanjing, observatories in Japanese-occupied Manchuria, and the Japanese Army in North China. Gross errors, rounding errors and inhomogeneities are identified. The new dataset is temporally and spatially consistent with existing datasets of monthly temperature, but reports higher precipitation and sunshine.

AB - This project compiled 463,530 instrumental observations of daily temperature, precipitation and sunshine at up to 319 stations in China between 1912 and 1951. The principal sources are monthly reports of the Institute of Meteorology, Nanjing, observatories in Japanese-occupied Manchuria, and the Japanese Army in North China. Gross errors, rounding errors and inhomogeneities are identified. The new dataset is temporally and spatially consistent with existing datasets of monthly temperature, but reports higher precipitation and sunshine.

KW - China

KW - data rescue

KW - meteorology

UR - https://www.scopus.com/pages/publications/85085062769

UR - https://www.scopus.com/pages/publications/85085062769#tab=citedBy

U2 - 10.1002/gdj3.91

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VL - 7

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JO - Geoscience Data Journal

JF - Geoscience Data Journal

IS - 2

ER -

Temperature, precipitation and sunshine across China, 1912-51: A new daily instrumental dataset

Abstract

Keywords

ASJC Scopus subject areas

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