Comprehensive observation data set of cloud precipitation process in Southeast Tibet (2019-2021)

Comprehensive observation data set of cloud precipitation process in Southeast Tibet (2019-2021)


This data set is a sub data set of the comprehensive observation data set of cloud precipitation process, which is derived from the field observation test of cloud precipitation physical process carried out in Nyingchi area from 2019 to 2021. The observation instruments include Ka band millimeter wave cloud radar, micro rain radar and raindrop spectrometer. The observation elements of Ka band milliwave Cloud Radar include fixed-point vertical observation, RHI scanning observation and volume scanning observation data, The observation elements of micro rain radar include particle spectrum, liquid water content and precipitation intensity. The observation elements of raindrop spectrometer include particle spectrum and precipitation intensity. This data set can provide data support for the study of the formation mechanism and change trend of cloud precipitation physical process in Southeast Tibet and the response mechanism to westerly monsoon change.


File naming and required software

01 cloud radar data is stored in binary format, and the name of the file is ① yyyymmddhhmmss.②. ① is the scanning mode, for example, DTB represents fixed-point detection mode data of cloud radar, VTB represents PPI detection mode data of radar, and RTB represents RHI detection mode data of radar; ② Is the scanning mode parameter, which represents the antenna elevation in DTB scanning mode, the number of scanning layers in VTB scanning mode and the azimuth of radar antenna in RTB scanning mode. For example, dtb20190823140423.090 indicates that the radar adopts fixed-point scanning and 90 degree elevation observation data from 14:04:23 on August 23, 2019.
02 micro rain radar data is stored in text format. The data is divided into three types: original spectrum data, retrieved base data and 1-minute average data. The three kinds of data are stored in three folders \ rawspectrum, \ processeddata and \ avedata respectively. In each folder, one month is used as an independent folder to store the data of the current month, and one independent data file is stored every day. The name of the file is mmdd.①. ① is the data type. For example, raw represents the original spectral data, pro represents the base data after the inversion of the original spectral data, and ave represents the 1-minute average data of the base data. For example, 0901. raw represents the original spectral data observed by Nyingchi micro rain radar on September 1, 2019.
03 raindrop spectrometer data is stored in text format, and the name of the file is yyyymmddhh.txt, the device stores 1 data file in 1 hour. For example, 201905.txt represents the data observed during 05:00-05:59 on September 9, 2019.
See the data format description document for the above data reading methods.


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

Fu, D. (2021). Comprehensive observation data set of cloud precipitation process in Southeast Tibet (2019-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272949. CSTR: 18406.11.Atmos.tpdc.272949. (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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 96.50 West: 92.50
South: 27.50 North: 31.50
Details
  • Temporal resolution: --
  • Spatial resolution: --
  • File size: 39,761 MB
  • Views: 1148
  • Downloads: 6
  • Access: Requestable
  • Temporal coverage: 2019-08-22 To 2021-06-18
  • Updated time: 2021-12-31
Contacts
: FU Danhong   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Attachments
Export metadata