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Data Details

Extreme Weather Statistics Dataset of Shanghai Megalopolis（1961-2013）


SHI Jun1CUI Linli2YANG Hanwei3SUN Landong3
1 Shanghai Climate Center Shanghai 200030 China2 Shanghai Center for Satellite Remote Sensing and Application Shanghai 201199 China3 Shanghai Climate Center Shanghai 200030 China

DOI:10.3974/geodb.2016.02.16.V1

Published:May. 2016

Visitors：15999       Data Files Downloaded：321      
Data Downloaded：16.93 MB      Citations：

Key Words：

Extreme Weather,Statistics,Shanghai,1961-2013,Journal of Geo-Information Science

Abstract：

Based on the in situ observation data from 1961-2013 from the metrological stations of Shanghai city and 10 nearby counties and districts, including the metrological stations in Minhang, Baoshan, Jiading, Chongming, Nanhui, Pudong, Jinshan, Qingpu, Shongjiang and Fengxian districts, Extreme Weather Statistics Dataset of Shanghai Megalopolis（1961-2013）was developed. The elements of the extreme weather is consisted of High temperature days(d), Torrential rain days(d), Thunderstorm days(d), Gale days(d), Fog days(d), Haze days(d), Temperature(℃) and Precipitation(mm). The dataset is consisted of four tables, table 1: Anomaly of annual average meteorological elements in extreme weather from 11 meteorological stations of Shanghai during 1961-2013; table 2: Averaged meteorological elements in extreme weather in 11 meteorological stations of Shanghai during 1961-2013; table 3: Monthly data of meteorological elements in extreme weather from 11 meteorological stations of Shanghai during 1961-2013; table 4: Annual average meteorological elements in extreme weather from 11 meteorological stations of Shanghai during 1961-2013. The data is archived in .xlsx data format with 54KB. The analysis paper was published at the Journal of GeoInformation Science, No.11, Vol. 17, 2015.

Foundation Item：

National Natural Science Foundation of China（41571044、41001283）; CDM

Data Citation：

SHI Jun, CUI Linli, YANG Hanwei, SUN Landong. Extreme Weather Statistics Dataset of Shanghai Megalopolis（1961-2013）[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.02.16.V1.

Data Product:

ID Data Name Data Size Operation
1 ExtremeWeatherDataShanghai1961-2013.xls 54.00KB
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