Dataset of Sensitivity Climatic Variables and Potential Evaporation in Jinghui Irrigation District of China (1961-2011)
SU Xiaoling1SONG Yue1NIU Jiping1ZHONG Feng1
1 College of Water Resources and Architectural Engineering,North West Agriculture and Forestry University,Yangling 712100,China
DOI:10.3974/geodb.2016.09.01.V1
Published:Dec. 2016
Visitors:11746 Data Files Downloaded:118
Data Downloaded:23.56 MB Citations:
Key Words:
Climatic variables,Sensitivity,ET0,Jinghui irrigation district,Journal of Natural Resources
Abstract:
Based on the daily climatic data from the Jingyang, Gaoling, Fuping and Lintong meteorological stations located in Jinghui Irrigation district and the Penman-Monteith model, the sensitivity dataset of climatic variables and potential evaporation in Jinghui Irrigation district (1961-2011) was developed. The dataset is consisted of two data groups: (1) GIS data of the Jinghui Irrigation district and the geolocation of the four metrological stations; (2)Statistic data of mean daily relative humidity, temperature, wind speed and solar radiation in each of the four metrological stations (table 1-4); The yearly ET0 data at each of the four stations from 1961 to 2011 (table 5); the mean daily wind speed sensitive coefficient, relative humidity sensitive coefficient, temperature sensitivity coefficient, Mean daily solar radiation sensitivity coefficient Mean daily sensitivity coefficient for four climate variables at each of the four metrological stations (table 6-11). The dataset is archived in .shp and .xlsx data formats with compressed data size of 204KB. The analysis paper was published in the Journal of Natural Resources, No. 1, Vol. 30, 2015.
Foundation Item:
Ministry of Water Resources of China (201301016); National Natural Science Foundation of China (51279166); Ministry of Education of China (QN201168)
Data Citation:
SU Xiaoling, SONG Yue, NIU Jiping, ZHONG Feng. Dataset of Sensitivity Climatic Variables and Potential Evaporation in Jinghui Irrigation District of China (1961-2011)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.09.01.V1.
Data Product:
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Data Name |
Data Size |
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SensitiveClimateDataJinghuiqu1961-2011.rar |
204.48KB |
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