Daily maximum temperature, daily average relative humidity dataset of Pan-Third Pole key points region (2000-2016)

Daily maximum temperature, daily average relative humidity dataset of Pan-Third Pole key points region (2000-2016)


The basic data source of this dataset is from the website of the National Oceanic and Atmospheric Administration (NOAA). NOAA satellites are meteorological observation satellites. Provide meteorological environment information including temperature, precipitation, dew point, wind speed, etc. This dataset mainly covers key nodes in the Southeast Asia and Middle East regions. The main steps of data processing are as follows: firstly, the daily maximum temperature data is obtained by screening from a large number of basic meteorological data; the daily maximum temperature relative humidity relationship is integrated, and the daily relative humidity calculation is completed based on the dew point temperature data of the weather station. This data set provides basic information and a strong reference for evaluating the high temperature weather process in key node areas.


File naming and required software

In .excel format, can be opened and analysed in Microsoft EXCEL software.


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

Ge, Y., Liu, Q. (2020). Daily maximum temperature, daily average relative humidity dataset of Pan-Third Pole key points region (2000-2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270320. CSTR: 18406.11.Meteoro.tpdc.270320. (Download the reference: RIS | Bibtex )

Related Literatures:

1. ZHU, W.H., MAO, F., XU, Y., ZHENG, J., SONG, L.X. (2019). Analysis on Response of Vegetation Index to Climate Change and Its Prediction in the Three-Rivers-Source Region. Plateau Meteorology, 38(04), 693-704.( View Details | Download | Bibtex)

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


Copyright & License

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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: 102.00 West: 97.00
South: 37.00 North: 42.00
Details
  • Temporal resolution: Daily
  • Spatial resolution: 1º-10º
  • File size: 28 MB
  • Views: 3302
  • Downloads: 354
  • Access: Open Access
  • Temporal coverage: 2000-01-08 To 2017-01-07
  • Updated time: 2021-04-19
Contacts
: GE Yong   LIU Qingsheng  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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