2002-2019 Global AMSR-E/2 Near-surface Freeze/Thaw state (0.25°)

2002-2019 Global AMSR-E/2 Near-surface Freeze/Thaw state (0.25°)


The freeze/thaw status of the near-surface soil is the water-ice phase transition that occurred at the top soil layer. It is an important indicator as a giant on-off “switch” of the land surface processes including water, energy, and carbon exchanges between the land surface and atmosphere. The freeze/thaw status is an essential variable for understanding how the ecosystem responds to and affects global changes. This dataset is based on the AMSR-E and AMSR2 passive microwave brightness temperature data, and the freeze-thaw discriminant function algorithm is used to generate the global near-surface soil freeze-thaw status with a spatial resolution of grids at 0.25° from 2002 to 2019. The dataset can be used for the analysis of the spatial distribution and trend changes of global freeze-thaw cycles, such as the freeze/thaw onset dates and duration. It provides data support for understanding the interaction mechanism between the land surface freeze-thaw cycle and the land-atmosphere exchanges under the context of global changes.


File naming and required software

The file name is to be of the following structure:
XXXX_YYYYMMDD_PP_LL.h5
Each of the elements is as follows:
XXXX: 4 characters, Name of satellite sensor (AMSR represents AMSR-E or AMSR2)
YYYY: 4 characters, Year
MM: 2 characters, Month
DD: 2 characters, Day
PP: 2 characters, Name of the product (FT represents freeze/thaw status)
RR: 2 characters, Spatial resolution of data grids (0.25°)

Example: AMSR_20070125_FT_25.h5 represents the AMSR-E/2 sensors derived near-surface freeze-thaw status on January 25, 2007 with the grid spatial resolution at 0.25 degree.


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

Zhao, T. (2018). 2002-2019 Global AMSR-E/2 Near-surface Freeze/Thaw state (0.25°). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Glacio.tpdc.270890. CSTR: 18406.11.Glacio.tpdc.270890. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhao T, Zhang L, Jiang L, et al. A new soil freeze/thaw discriminant algorithm using AMSR-E passive microwave imagery[J]. Hydrological Processes, 2011, 25(11): 1704-1716.( View Details | Bibtex)

2. Wang P K, Zhao T J, Shi J C, et al. Parameterization of the freeze/thaw discriminant function algorithm using dense in-situ observation network data[J]. Int. J. Digit. Earth, 2019, 12(8): 980-994.( View Details | Bibtex)

3. Hu T, Zhao T, Zhao K, et al. A continuous global record of near-surface soil freeze/thaw status from AMSR-E and AMSR2 data[J]. International Journal of Remote Sensing, 2019, 40(18): 6993-7016.( 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

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

o Strategic Priority ResearchProgram of the Chinese Academy of Sciences: Grant No. XDA19070204 (No:XDA19070204) [XDA19070204]

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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Keywords
Geographic coverage
East: 180.00 West: -180.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Daily
  • Spatial resolution: 0.25º - 0.5º
  • File size: 233 MB
  • Views: 4,912
  • Downloads: 282
  • Access: Open Access
  • Temporal coverage: 2002-06-19 To 2019-12-31
  • Updated time: 2022-03-30
Contacts
: Zhao Tianjie  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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