Daily MODIS-based Land Surface Evapotranspiration Dataset of 2019 in Qilian Mountain Area (ETHi-merge V1.0)


This dataset contains daily land surface evapotranspiration products of 2019 in Qilian Mountain area. It has 0.01 degree spatial resolution. The dataset was produced based on Gaussian Process Regression (GPR) method by fusing six satellite-derived evapotranspiration products including RS-PM (Mu et al., 2011), SW (Shuttleworth and Wallace., 1985), PT-JPL (Fisher et al., 2008), MS-PT (Yao et al., 2013), SEMI-PM (Wang et al., 2010a) and SIM (Wang et al.2008). The input variables for the evapotranspiration products include MODIS products and China Meteorological Forcing Dataset (He Jie, Yang Kun. China Meteorological Forcing Dataset. Cold and Arid Regions Science Data Center at Lanzhou, 2011. doi:10.3972/westdc.002.2014.db).


Data file naming and use method

File Naming Convention: YYYYMMDD.tiff (YYYY: year, MM: month, DD: day)
Data Version:V1.0
Projection:+proj=longlat +datum=WGS84 +no_defs
Data Format: GeoTIFF, 1079 rows ×1791 columes
Unit: W/m2
Valid Range:0~500
Filled Value:-300


Required Data Citation View Data Cite Help About Data Citation
Cite as:

Yunjun YAO, Shaomin LIU, Ke SHANG. Daily MODIS-based Land Surface Evapotranspiration Dataset of 2019 in Qilian Mountain Area (ETHi-merge V1.0). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Meteoro.tpdc.270407. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Yao Y., Liang S., Li X., Chen J., Liu S., et al. Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. Agricultural and Forest Meteorology 2017, 242, 55-74. DOI: 10.1016/j.agrformet.2017.04.011.( 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.Wang K., Dickinson R. E., Wild M., et al. Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development. Journal of Geophysical Research Atmospheres 2010, 115(D20): 898-907. DOI: 10.1029/2009JD013671. (View Details )

2.Yao Y., Liang S., Cheng J., Liu S., Fisher J. B., et al. MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestly-Taylor algorithm. Agricultural and Forest Meteorology 2013, 171–172, 187–202. DOI: 10.1016/j.agrformet.2012.11.016. (View Details )

3.Wang K., Liang S. . An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture. J. Hydrometeorol 2008, 9, 712–727. DOI: 10.1109/IGARSS.2008.4779489. (View Details )

4.Mu Q., Zhao M., Running S. W. . Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment 2011, 115(8):1781-1800. DOI: 10.1016/j.rse.2011.02.019. (View Details )

5.Fisher J. B. , Tu K. P. , Baldocchi D. D. . Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment 2008, 112(3), 901-919. DOI: 10.1016/j.rse.2007.06.025. (View Details )

6.Shuttleworth, W.J., Wallace, J.S. . Evaporation from sparse crops-An energy combination theory. 1985, 111, 839–855. DOI: 10.1002/qj.49711146910. (View Details )


Support Program

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

User Limit

To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


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Keywords
Geographic coverage
East: 107.02 West: 89.11
South: 34.20 North: 44.99
Detail
  • Temporal resolution: Daily
  • Spatial resolution: 100m - 1km
  • File size: 2,724 MB
  • Browse count: 435 Times
  • Apply count: 5 Times
  • Share mode: online
  • Temporal coverage: 2019-01-01 To 2019-12-31
  • Updated time: 2020-05-11
Contact Information
: Yunjun YAO   Shaomin LIU   Ke SHANG  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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