GLDAS based global Arid Index data set (1948-2018)

GLDAS based global Arid Index data set (1948-2018)


This data set is the data set of drought index AI from 1948 to 2018, with spatial coverage of 60s-60n, 180e-180w, spatial resolution of 0.5 °, and temporal resolution of year. The potential evapotranspiration (PET) is calculated based on penman Monteith model, in which the wind speed, relative humidity, sensible heat, latent heat, soil heat flux and surface pressure data are from GLDAS, air temperature data are from CPC, and precipitation data are also from CPC. GLDAS data is divided into two sections. The first section is from GLDAS_ NOAH10_ M v2.0 series, covering the period from 1948 to 2015; The second paragraph is from GLDAS_ NOAH10_ M v2.1, covering the period from 2000 to now, we spliced the overlapping data segments from 2000 to 2014, subtracted the average values of wind speed, relative humidity, sensible heat, latent heat, soil heat flux and surface air pressure of the two sets of data in this period, obtained the difference, and added the difference to the data set of v2.1 to calculate pet.


File naming and required software

GLDAS_ 1948_ 2018_ AI_ 60s_ 60n.nc


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

Yu, H. (2021). GLDAS based global Arid Index data set (1948-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.271832. CSTR: 18406.11.Atmos.tpdc.271832. (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.


References literature

1.Yu, H., Zhang, Q., Wei, Y., Liu, C., Ren, Y., Yue, P., & Zhou, J. (2021). Bias-corrections on aridity index simulations of climate models by observational constraints. Int. J. Climatol., 41. (View Details )


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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

1.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (automatic weather station of mixed forest station, 2021)

2.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Large aperture scintillometer of Daman Superstation, 2021)

3.High resolution atmosphere-hydrologic simulation dataset over the Tibetan Plateau (2000-2010)

4.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (automatic weather station of Jingyangling station, 2021)

5.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (automatic weather station of Huazhaizi desert steppe station, 2021)

6.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (an observation system of Meteorological elements gradient of Daman Superstation, 2021)

7.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (eddy covariance system of Zhangye wetland station, 2021)

8.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Cosmic-ray observation system of soil moisture of Sidaoqiao Superstation, 2021)

9.Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (automatic weather station of Yakou station, 2021)

10.Sensitivity eperiments of sensible heat over the Tibetan Plateau by CESM1.2.0 (1979-2014)

No record

No record

Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 180.00 West: -180.00
South: -60.00 North: 60.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 0.5º - 1º
  • File size: 12 MB
  • Views: 4582
  • Downloads: 676
  • Access: Open Access
  • Temporal coverage: 1948-01-01 To 2018-12-31
  • Updated time: 2021-11-18
Contacts
: YU Haipeng  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Attachments
Export metadata