The near-surface freeze-thaw affects the water and energy exchanges mode and efficiency between the land and atmosphere. The transition of the freeze/thaw state affects the pattern of runoff concentration, which has an important impact on regional and global water cycle. Based on the remote sensing data of AMSR-E/2 passive microwave sensors and MODIS optical sensor, this data set uses the discriminant function algorithm and its downscaling method to produce a global mapping of near-surface freeze-thaw states with higher spatial resolution. This product covers the time period from 2002 to 2018 (daily), and spatial coverage is global scale (spatial resolution of 0.05°). It can be used to analyze the start/end time of global near-surface freeze/thaw states, the duration of freezing/thawing and their changing trends, and provide data support for studying the mechanism of water cycle and energy exchanges in the context of global change.

File naming and required software

YYYYMMDD_NSFT_A/D.H5

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Cite as:

Zhao, T. (2019). Global 0.05° near-surface freeze-thaw states data set (2002-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geocry.tpdc.270283. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Hu, T., Zhao, T., Shi, J., Wu, S., Liu, D., Qin, H., & Zhao, K. (2017). High-resolution mapping of freeze/thaw status in china via fusion of MODIS and AMSR2 data. Remote Sensing, 9(12), 1339.( View Details | Bibtex)

2. Zhao, T., Shi, J., Hu, T., Zhao, L., Zou, D., Wang, T., ... & Wang, P. (2017). Estimation of high‐resolution near‐surface freeze/thaw state by the integration of microwave and thermal infrared remote sensing data on the Tibetan Plateau. Earth and Space Science, 4(8), 472-484.( 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)

Second Tibetan Plateau Scientific Expedition Program

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

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