This dataset contains daily 0.05°×0.05° land surface soil moisture products in Qilian Mountain Area in 2017. The dataset was produced by utilizing the multivariate statistical regression model to downscale the “AMSR-E and AMSR2 TB-based SMAP Time-Expanded Daily 0.25°×0.25° Land Surface Soil Moisture Dataset in Qilian Mountain Area (SMsmapTE, V1)”. The auxiliary datasets participating in the multivariate statistical regression include GLASS Albedo/LAI/FVC, 1km all-weather surface temperature data in western China by Ji Zhou and Lat/Lon information.

File naming and required software

File Naming Convention: YYYYMM.tiff (YYYY: year, MM: month) ；Data Version：V1 ；Projection：+proj=longlat +datum=WGS84 +no_defs ；Data Format: GeoTIFF, 220 rows ×360 columes ；Soil Moisture Unit: cm3/cm3 ；Soil Moisture Valid Range：0.02-0.5 ；Filled Value：Nodata

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Cite as:

Chai, L., Zhu, Z., Liu, S. (2019). Daily 0.05°×0.05° land surface soil moisture dataset of Qilian Mountain area (2017, SMHiRes, V1). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geogra.tpdc.270191. CSTR: 18406.11.Geogra.tpdc.270191. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Hu, Z., Chai, L., Crow, W.T., Liu, S., Zhu, Z., Zhou, J., Qu, Y., Liu, J., Yang, S., Lu, Z., 2022. Applying a Wavelet Transform Technique to Optimize General Fitting Models for SM Analysis: A Case Study in Downscaling over the Qinghai–Tibet Plateau. Remote Sensing 14, 3063. https://doi.org/10.3390/rs14133063( View Details | Bibtex)

2. Qu, Y., Zhu, Z., Montzka, C., Chai, L., Liu, S., Ge, Y., Liu, J., Lu, Z., He, X., & Zheng, J. (2021). Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China. Journal of Hydrology, 592, 125616. (https://doi.org/10.1016/j.jhydrol.2020.125616)( 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

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

Copyright & License

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