China meteorological assimilation datasets for the SWAT model - soil temperature version 1.0 (2009-2013)

China meteorological assimilation datasets for the SWAT model - soil temperature version 1.0 (2009-2013)

CMADS (The China Meteorological Assimilation Driving Datasets for The SWAT model) The soil temperature component (hereinafter referred to as cmads-st) USES The China Meteorological Administration Land Data Assimilation System [CLDAS] to force The common Land surface model3.5 [CLM3.5]) (Community Land model, numerical simulation of Land surface, circulation 10 spin - up simulation, get basic stability model initial field, and obtain high space-time resolution of soil temperature data sets, eventually hierarchical data model is utilized to extract, quality control, a nested loop, re-sampling, and a variety of technologies such as bilinear interpolation method is finally established.

Cmads-st series data set space covers the whole east Asia (0 ° n-65 ° N, 60 ° e-160 ° E), the spatial resolution is respectively cmads-st V1.0 version: 1/3 °, cmads-st V1.1 version: 1/4 °, cmads-st V1.2 version: 1/8 ° and cmads-st V1.3 version:The above resolutions are daily (the basic resolution of the soil temperature component output in CLM3.5 mode is 1/16°, which ensures the highest resolution of the cmads-st data set is 1/16°). The time scale is 2009-2013.The data set published on this page is the cmads-st V1.0 data set (spatial resolution :1/3°).Temporal resolution: daily.Space coverage: east Asia (0 ° n-65 ° N, 60 ° e-160 ° E).Number of stations: 58,500.Supply factors: the average daily soil temperature of 10 layers (the depth of node hierarchy is in order: the first layer :0.00710063521m; the second layer :0.0279249996m; the third layer :0.0622585751m; the fourth layer :0.118865065m; the fifth layer :0.2121934m; the sixth layer :0.3660658m; the seventh layer :0.619758487m; the eighth layer :1.03802705m; the ninth layer :1.72763526m;Floor 10 :2.8646071m).Provide data format: TXT.

The path of the cmads-st V1.0 soil temperature data set is:

CMADS - ST - V1.0\2009 \ layer1 V1.0\2009 \ layer10 to CMADS - ST

CMADS - ST - V1.0\2010 \ layer1 V1.0\2010 \ layer10 to CMADS - ST

CMADS - ST - V1.0\2011 \ layer1 V1.0\2011 \ layer10 to CMADS - ST

CMADS - ST - V1.0\2012 \ layer1 V1.0\2012 \ layer10 to CMADS - ST

CMADS - ST - V1.0\2013 \ layer1 V1.0\2013 \ layer10 to CMADS - ST

Cmads-st V1.0 subset file path and file name description

Where, daily soil temperature (ten layers) is shown in layer1-layer10\.Are located in the following directories (take 2009 as an example):

\2009\layer1\ 2009 layer1 (0.00710063521m) soil temperature directory

\2009\layer2\ 2009 layer2 (0.0279249996m) soil temperature directory

\2009\layer3\ 2009 layer3 (0.0622585751m) soil temperature catalogue

\2009\layer4\ 2009 layer4 (0.118865065m) soil temperature catalogue

\2009\layer5\ 2009 layer5 (0.2121934m) soil temperature catalogue

\2009\layer6\ 2009 layer6 (0.3660658m) soil temperature catalogue

\2009\layer7\ 2009 layer7 (0.619758487m) soil temperature directory

\2009\layer8\ 2009 layer8 (1.03802705m) soil temperature catalogue

\2009\layer9\ 2009 layer9 (1.72763526m) soil temperature catalogue

\2009\layer10\ 2009 10th layer (2.8646071m) soil temperature catalogue

File naming and required software

File name: the data is stored in text TXT format.Cmads-st V1.0 subset file path and file name description, in which layer1-layer10\ directory is the daily soil temperature (ten layers), respectively located in the following directory (taking 2009 as an example):\2009\layer1\ represents the first layer (0.00710063521m) soil temperature directory in 2009;Cmads-st V1.0 data subset naming format
(take tail station :195-300 as an example): cmads_v1.0_soil_tmp_l1_195_300. txt 195_300 grid site site layer 1 soil temperature (K).
Data reading: can be opened by a text program, such as notepad.

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

Meng, X., Wang, H. (2018). China meteorological assimilation datasets for the SWAT model - soil temperature version 1.0 (2009-2013). National Tibetan Plateau Data Center, DOI: 10.3972/westdc.004.2017.db. CSTR: 18406.11.westdc.004.2017.db. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Meng, X.Y., Shi, C.X., Liu, S.Y., Wang, H., Lei, X.H., Liu, Z.H., Ji, X.N., Cai, S.Y., Zhao, Q.D. (2016). CMADS Datasets and Its Application in Watershed Hydrological Simulation: A Case Study of the Heihe River Basin. Pearl River, 37(7), 1-19.( View Details | Bibtex)

2. Shi C X, Xie Z H, Qian H, et al. China land soil moisture EnKF data assimilation based on satellite remote sensing data. Sci China Earth Sci, 2011, doi: 10.1007/s11430-010-4160-3( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Meng, X.Y., Ji, X.N., Liu, Z.H., et al. (2014). Research on Improvement and Application of Snowmelt Module in SWAT[J]. Journal of Natural Resources, 29(3), 528-539. (View Details )

2.Meng, X.Y., Wang, H., et al. (2017). Simulation, validation, and analysis of the Hydrological components of Jing and Bo River Basin based on the SWAT model driven by CMADS. ACTA ECOLOGICA SINICA. 39(3). DOI:10.5846/stxb201608231719. (View Details )

3.Meng, X.Y., Wang, H., Wu, Y.P., Long, A.H., Wang, J.H., Shi, C.X. et al. (2017). Investigating spatiotemporal changes of the land surface processes in Xinjiang using high-resolution CLM3.5 and CLDAS: Soil temperature. Scientific Reports. 7. doi:10.1038/s41598-017-10665-8. (View Details )

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Geographic coverage
East: 160.00 West: 60.00
South: 0.00 North: 65.00
  • Temporal resolution: Daily
  • Spatial resolution: 0.25º - 0.5º
  • File size: 12,000 MB
  • Views: 12,617
  • Downloads: 189
  • Access: Open Access
  • Temporal coverage: 2009-01-10 To 2014-01-09
  • Updated time: 2021-04-19
: Meng Xianyong   Wang Hao  

Distributor: National Tibetan Plateau Data Center


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