Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term

doi: 10.4121/21856662.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21856662
Datacite citation style:
Xie, Yangyang (2023): Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/21856662.v3
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Dataset
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version 3 - 2023-01-12 (latest)
version 2 - 2023-01-12 version 1 - 2023-01-11
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geolocation
Huaihe River Basin, China
time coverage
January 1960 – December 2020
licence
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This Excel file (Data.xlsx) provides the geographic locations of 29 weather stations in the Huaihe River Basin of China and the areal proportion controlled by each station, as well as the meteorological data and atmospheric evaporation demand (AED) data (January 1st 1960 to December 31st 2020) for each station. Specifically, the areal proportion controlled by each station is calculated by the Thiessen polygon method (Hwang, et al., 2020). The meteorological data cover daily sunshine hours, daily average air temperature, daily wind speed, daily relative humidity, daily maximum temperature, daily minimum temperature, and daily average atmospheric pressure. Moreover, the AED is represented by reference crop evapotranspiration that is calculated by the FAO Penman-Monteith model (Allen et al., 1998). These data are used to prove the rationality and effectiveness of the anomaly contribution analysis, which aims to identify the dominant meteorological factors for the AED in mid-long term, and to display detailed temporal driving patterns of different factors on the AED.

References:

Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56 Food and Agriculture Organization, Rome, Italy.

Hwang, S.H., Kim, K.B., Han, D., 2020. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. J. Hydrol. 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084

history
  • 2023-01-11 first online
  • 2023-01-12 published, posted
publisher
4TU.ResearchData
format
.xlsx
organizations
Yangzhou University

DATA

files (2)