Summer and autumn evaporation data of three typical inland lakes calculated based on the observation data of automatic weather stations (2019-2021)

Summer and autumn evaporation data of three typical inland lakes calculated based on the observation data of automatic weather stations (2019-2021)


1) Data content

This data set includes lake evaporation data of Bamco, La'angco in the summer and autumn of 2019-2021 and Longmuco in the summer and autumn of 2020-2021. The meteorological data required for the calculation of evaporation data are obtained from the automatic meteorological station set up at the lake side, with the observation height of 1.5m.

Lake location: Bamco (90.59 ° E, 31.29 ° N), La'anco (81.24 ° E, 30.72 ° N), Longmucuo (80.47 ° E, 34.60 ° N).

Coordinates of automatic weather stations: Bamco AWS (90.65 ° E, 31.30 ° N), La'anco AWS (81.22 ° E, 30.73 ° N), and Longmucuo AWS (80.43 ° E, 34.59 ° N).

Time resolution: 1d

Spatial resolution:-

Unit: mm

2) Data source and processing method

Integral conveying method. The calculation formula is as follows:

LH=l_ v ρ_ a c_ E U(q_s-q_a )

E=LH/( ρ l_ v )

LH and E are latent heat and evaporation respectively.

The automatic weather station erected near the lake is used for meteorological data, and the observation data used include temperature, wind speed, relative humidity, etc. at 1.5m; Lake surface temperature uses ERA5 land hourly data; The momentum roughness, moisture roughness and thermal roughness are obtained by back calculation from the data obtained by the eddy correlation instrument erected by Bamco and Laoncho.

3) Data quality description

The evaporation data of Bamco Lake in 2020 obtained by calculation are compared with the evaporation data from August to October obtained by the eddy correlation instrument installed on the central island of Bamco Lake. Pearson correlation coefficient r=0.57, p=2.842E-8.

4) Data application achievements and prospects

Water surface evaporation is an important link in the process of water cycle and an important topic in hydrology research. As the main part of lake water loss, it is also the basic reference data for studying land surface evaporation. The evaporation calculated based on the observation data can be used as the accurate evaporation of lakes on the Qinghai Tibet Plateau, which is an important basis for studying the water balance of lakes. By obtaining the evaporation of three lakes located in different climatic regions, we can better explore the variation law of lake water surface evaporation in different climatic regions.


File naming and required software

BMC_ Yyyy.xlsx (Bamco)
LAC_ Yyyy.xlsx
LMC_ Yyyy.xlsx (Longmucuo)
Data reading method: the data is stored in EXCEL format, and the subject content is date (1 column) and evaporation (2 columns)


Data Citations Data citation guideline What's data citation?
Cite as:

Ma, W., Ma, W., He, J., Xie, Z., Su, R., Hu, W., Ma, Y. (2022). Summer and autumn evaporation data of three typical inland lakes calculated based on the observation data of automatic weather stations (2019-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272919. CSTR: 18406.11.Terre.tpdc.272919. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Wang, B., Ma, Y., & Wang, Y., et al. (2019). Significant differences exist in lake-atmosphere interactions and the evaporation rates of high-elevation small and large lakes. Journal of hydrology, 573, 220-234.( View Details | Bibtex)

2. Li, Z., Lyu, S., & Zhao, L., et al. (2016). Turbulent transfer coefficient and roughness length in a high-altitude lake, Tibetan Plateau. Theoretical and Applied Climatology, 124(3), 723-735.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

the National Natural Science Foundation of China (No:41830650)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 90.69 West: 90.51
South: 31.13 North: 31.38
Details
  • Temporal resolution: Daily
  • Spatial resolution: --
  • File size: 0.138 MB
  • Views: 636
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2019-06-08 To 2021-10-14
  • Updated time: 2022-11-16

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Contacts
: MA Weiyao    MA Weiqiang*   HE Jianan    XIE Zhipeng    SU Rongmingzhu    HU Wei    MA Yaoming  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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