---

数据文件命名方式和使用方法

文件命名约定：逐日蒸散发文件命名：YYYDOY_YYYYMMDD_ET_daily.tif （YYYY：年，DOY：一年的第几天，MM：月，DD：日） 如下：2013001_20130101_ET_daily.tif。月蒸散发文件命名：YYY_MM_ET_monthly.tif （YYYY：年，MM：月） 如下：2013_01_ET _monthly.tif。年蒸散发文件命名：YYYY_ET_yearly.tif （YYYY：年），如下：2013_ET_yearly.tif；
投影：WGS_1984_UTM_Zone_47N；
数据格式，大小和数据存储类型：GeoTIFF，5505行×4027列和浮点型；
数据产品单位：逐日（mm/day），月（mm/month），年（mm/year）；
数据版本号：Version 1.0。

---

本数据要求的引用方式 查看数据引用帮助 数据引用必读

数据的引用

马燕飞, 刘绍民. (2020). 黑河流域逐日100米地表蒸散发数据（2010-2016）（HiTLL ET V1.0）. 时空三极环境大数据平台, DOI: 10.11888/Hydro.tpdc.271081. CSTR: 18406.11.Hydro.tpdc.271081.
[Ma, Y., Liu, S. (2020). High-Temporal and Landsat-Like surface evapotranspiration in Heihe River Basin (2010-2016) (HiTLL ET V1.0). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.271081. CSTR: 18406.11.Hydro.tpdc.271081. ] (下载引用： RIS格式 | RIS英文格式 | Bibtex格式 | Bibtex英文格式 )

文章的引用

1. Ma, Y.F., Liu, S.M., Song, L.S., Xu, Z.W., Liu, Y.L., Xu, T.R., Zhu, Z.L. (2018). Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data. Remote Sensing of Environment, 216, 715-734. doi:10.1016/j.rse.2018.07.019.( 查看 | Bibtex格式)

2. Liu, S., Li, X., Xu, Z., Che, T., Xiao, Q., Ma, M., Liu, Q., Jin, R., Guo, J., Wang, L., Wang, W., Qi, Y., Li, H., Xu, T., Ran, Y., Hu, X., Shi, S., Zhu, Z., Tan, J., Zhang, Y., Ren, Z. (2018). The Heihe Integrated Observatory Network: A basin‐scale land surface processes observatory in China. Vadose Zone Journal, 17,180072. https://doi.org/10.2136/vzj2018.04.0072.( 查看 | Bibtex格式)

使用本数据时必须引用“文章的引用”中列出的文献，并进行数据的引用

---

参考文献

1.Li, X., Liu, S., Li, H., Ma, Y., Wang, J., Zhang, Y., Xu, Z., Xu, T., Song, L., Yang, X., Lu, Z., Wang, Z., Guo, Z. (2018). Intercomparison of six upscaling evapotranspiration methods: From site to the satellite pixel. Journal of Geophysical Research: Atmospheres, 123(13), 6777-6803. https://doi.org/10.1029/2018JD028422. (查看 )

2.Xu, T., Guo, Z., Liu, S., He, X., Meng, Y., Xu, Z., Xia, Y., Xiao, J., Zhang, Y., Ma, Y., Song, L. (2018). Evaluating different machine learning methods for upscaling evapotranspiration from towers to the regional scale. Journal of Geophysical Research: Atmospheres, 123(16), 8674-8690. https://doi.org/10.1029/2018JD028447. (查看 )

3.Liu, S., Xu, Z., Song, L., Zhao, Q., Ge, Y., Xu, T., Ma, Y., Zhu, Z., Jia, Z., Zhang, F. (2016). Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces. Agricultural and Forest Meteorology, 230-231, 97-113. https://doi.org/10.1016/j.agrformet.2016.04.008. (查看 )

4.Xu, Z., Ma, Y., Liu, S., Shi, W., Wang, J., 2017. Assessment of the energy balance closure under advective conditions and its impact using remote sensing data. Journal of Applied Meteorology and Climatology, 56 (1), 127–140. https://doi.org/10.1175/JAMC-D-16-0096.1. (查看 )

5.Ma, Y., Liu, S., Zhang, F., Zhou, J., Jia, Z., Song, L., 2015. Estimations of regional surface energy fluxes over heterogeneous oasis–desert surfaces in the middle reaches of the Heihe River during HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12 (3), 671–675. https://doi.org/10.1109/LGRS.2014.2356652. (查看 )

6.Su, Z. (2002). The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences, 6 (1), 85–100. https://doi.org/10.5194/hess-6-85-2002. (查看 )

7.Jia, L., Su, Z., van den Hurk, B., Menenti, M., Moene, A., De Bruin, H.A., Yrisarry, J.J.B., Ibanez, M., Cuesta, A. (2003). Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements. Physics and Chemistry of the Earth, Parts A/B/C, 28 (1–3), 75–88. https://doi.org/10.1016/S1474-7065(03)00009-3. (查看 )

8.He, J., Yang, K., Tang, W. Lu, H., Qin, J., Chen, Y.Y., Li, X. (2020). The first high-resolution meteorological forcing dataset for land process studies over China. Scientific Data, 7, 25, https://doi.org/10.1038/s41597-020-0369-y. (查看 )

9.Yang, K., He, J.,Tang, W.J., Qin, J., Cheng, C.C.K. (2010). On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau. Agricultural and Forest Meteorology, 150(1), 38-46. https://doi.org/10.1016/j.agrformet.2009.08.004. (查看 )

10.YANG Kun, HE Jie. China meteorological forcing dataset (1979-2018). National Tibetan Plateau Data Center, 2019. DOI: 10.11888/Atmosp hericPhysics.tpe.249369.file. CSTR: 18046.11.AtmosphericPhysics.tpe.249369.file. (查看 )

---

资助项目

泛第三极环境变化与绿色丝绸之路建设专项(XDA20000000) (项目编号:XDA20000000) Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program

国家自然科学基金青年科学基金项目 (项目编号: 41701426) Youth Program of National Natural Science Foundation of China (grant number: 41701426)

数据使用声明

为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。

---

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

---

相关资源

数据评论

当前页面默认显示 中文 评论 显示所有语种的评论