Meteorological observation in the Pamirs Plateau of Tajikistan (2019-2021)

Meteorological observation in the Pamirs Plateau of Tajikistan (2019-2021)


The observation data are from Tajikistan Pamir Plateau glacier observation station built by Urumqi desert Meteorological Institute of China Meteorological Administration in 2019, including air temperature and humidity, atmospheric pressure, wind speed and direction, precipitation, snow depth and other data. The data period is from November 1, 2019 to November 30, 2020. The *. Xlsx format processed by MS office has good data quality. This data can provide a reference for the study of glacier ablation and its potential impact on hydrological characteristics, water resources and ecological environment. Meteorological observation elements are accumulated and processed into climate data to provide precious data support for weather forecast and economic activities. It is widely used in agriculture, forestry, industry, transportation, military, hydrology, medical and health, environmental protection and other departments.


File naming and required software

Naming and usage of data files:
The hourly data of observation data mainly include atmospheric pressure (HPA), air temperature (M / s), air relative humidity (m), wind speed (M / s) and wind direction (°)
File name:
Y5102HOUR20191101-20201130.xlsx
Meteorological data is stored in *. Xlsx format. The name of the file is "station name hour. Xlsx"
Data reading method: the data can be directly opened with Office Excel software, and the data in each column from left to right are:
Observation data time
Average atmospheric pressure within one hour (HPA)
Maximum atmospheric pressure within one hour (HPA)
Time at maximum atmospheric pressure in one hour
Minimum atmospheric pressure within one hour (HPA)
The time of the lowest atmospheric pressure in an hour
Average air temperature within one hour (DEGC)
Maximum air temperature in one hour (DEGC)
Time at maximum air temperature in one hour
Minimum air temperature in one hour (DEGC)
The time when the air temperature is the lowest in an hour
Average air humidity within one hour (%)
Minimum air humidity within one hour (%)
The time when the air humidity is the lowest in an hour
Average wind direction within one hour (degrees)
Average wind speed within one hour (M / s)
Wind direction at maximum wind speed in one hour (degrees)
Maximum wind speed in one hour (M / s)
Time at maximum wind speed in one hour
Wind direction sampling value (degrees)
Wind speed sampling value (M / s)


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

Huo, W. (2021). Meteorological observation in the Pamirs Plateau of Tajikistan (2019-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271754. CSTR: 18406.11.Meteoro.tpdc.271754. (Download the reference: RIS | Bibtex )

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


Support Program

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


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


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Geographic coverage
East: 73.00 West: 71.00
South: 37.00 North: 39.00
Details
  • Temporal resolution: Hourly
  • Spatial resolution: 1m - 10m
  • File size: 2 MB
  • Views: 1767
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2019-11-01 To 2021-10-03
  • Updated time: 2022-04-18

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Contacts
: HUO Wen  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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