Digital Heihe

WATER: Dataset of automatic meteorological observations at the Huazhaizi desert station (2008-2011)

The dataset of automatic meteorological observations was obtained from Jun. 1, 2008 to Dec. 31, 2009 at the Huazhaizi desert station which is located in Anyangtan (E100°19'06.9″/N38°45'54.7″), south of Zhangye city, Gansu province,. The experimental area, situated in the middle stream of Heihe river, with a flat and open terrain and sparse vegetation cover is an ideal desert observing field.

Observation items included the multi-layer (2m and 10m) wind speed and direction, the air temperature, precipitation, the four components of radiation, the surface infrared temperature, the multi-layer soil temperature (5cm, 10cm, 20cm, 40cm, 80cm and 160cm), soil moisture (5cm, 10cm, 20cm, 40cm, 80cm and 160cm) and soil heat flux (5cm & 10cm).

The raw data were level0 and the data after basic processes were level1; the data after strict quality control were defined as Level2. The data files were named as follows: station+datalevel+AMS+datadate.. As for detailed information, please refer to “Meteorological and Hydrological Flux Data Guide".

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1. Liu, S.M., Xu, Z.W., Wang, W.Z., Bai, J., Jia, Z., Zhu, M., & Wang, J.M. (2011). A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology and Earth System Sciences, 15(4), 1291-1306.(View Details |Download )

2. Xu, T., Liu, S., Xu, L., Chen ,Y., Jia, Z., Xu, Z., &Nielson, J. (2015). Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. Remote Sensing, 7(3), 3400-3425.(View Details |Download )

Cite as:

Li, X., Xu, Z. (2015). < b>WATER: Dataset of automatic meteorological observations at the Huazhaizi desert station (2008-2011)</b>2015. doi: 10.3972/water973.0277.db. (Download the reference： RIS | Bibtex )

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

References literature

1.Ma, M.G. (2011). Quality control and evaluation for the ground observation data of the watershed allied telemetry experimental research. Remote Sensing Technology and Application, 25(6), 766-771. (View Details )

2.Wu Lizong, Qu Yonghua, Wang Liangxu, Sun Qingsong, Hu Xiaoli, Li Xin, Wang Jindi, Li Hongxing, et al. Data Management and Its Sharing Application of Watershed Allied Telemetry Experimental Research. Remote Sensing Technology and Application, 2010, 25(6): 772-781. (View Details )

3.Yu, S., X. Xin, and Q. Liu. 2013. Estimation of clear-sky longwave downward radiation from HJ-1B thermal data. Science China Earth Sciences 56:829-842. (View Details )

4.Wang Liangxu, Wang Shuguo, Ran Youhua. (2014), Data Sharing and Data Set Application of Watershed Allied Telemetry Experimental Research. IEEE Geoscience and Remote Sensing Letters, 11(11), 2020-2024. doi:10.1109/LGRS.2014.2319301 (View Details )

5.Li Xin, Li Xiaowen, LiZengyuan.et al.Progresses on the Watershed Allied Telemetry Experimental Research(WATER)[J].Remote Sensing Technology and Application,2012,27(5):637-649. (View Details )

6.Ma Mingguo, Liu Qiang, Pei Guangjian, Chen Erxue, Xiao Qing, Su Peixi, Hu Zeyong, Li Xin, Niu Wei, Wang Weizhen, Qian Jinbo, Song Yi, Ding Songshuang, Xin Xiaozhou, Ren Huazhong, Huang Chunlin, Jin Rui, Che Tao, Chu Rongzhong. Simultaneous Remote Sensing and (Ground-based Experiment in the Heihe River Basin:Experiment of Forest Hydrology and Arid Region Hydrology in the Middle Reaches. Advances in Earth Science, 2009, 24(7): 681-695. (View Details )

7.Huang, G.H., Ma, M.G., Liang, S.L., Liu, S.M., & Li, X. (2011). A LUT-based approach to estimate surface solar irradiance by combining MODIS and MTSAT data. Journal of Geophysical Research-Atmospheres, 116( D22201). (View Details )

8.Liu Q, Wang MY, Zhao YS. Assimilation of ASAR data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture. Chinese Geographical Science, 2010, 20(3): 218-225. (View Details |Download)

9.Li, X., Ma, M.G., Wang, J., Liu, Q., Che, T.,Hu, Z.Y., et al. (2008). Simultaneous remote sensing and ground-based experiment in the heihe river basin: scientific objectives and experiment design. Advances in Earth Science, 23(9), 897-914. (View Details )

10.LiXin,Lin Qiang. Liu Qinhuo,et al. The Progresses on the Watershed Allied Telemetry Experimental Research (WATER):Remote Sensing of Key Hydrological and Ecological Parameters［J].Remote Sensing Technology and Application,2012.27（5)650-662. (View Details )

11.Li, X., Li, X.W., Roth K, Menenti M, Wagner W. (2011). Preface 'Observing and modeling the catchment scale water cycle'. Hydrology and Earth System Sciences, 15(2), 597-601. doi:10.5194/hess-15-597-2011. (View Details )

12.Pan, X.D., Li, X., Shi, X.K., Han, X.J., Luo, L.H., Wang, L.X. Dynamic downscaling of near-surface air temperature at the basin scale using WRF–a case study in the Heihe River Basin, China. Frontiers of Earth Science, 2012, 6(3): 314-323, doi: 10.1007/s11707-012-0306-2. (View Details |Download)

13.Ma, M.G., Liu, Q., Y, G.J., Chen, E.X., Xiao, Q.,Su, P.X.,Hu, Z.Y., Li, X., et al. (2009). The cold regions hydrological remote sensing and ground-based synchronous observation experiment in the upper reaches of heihe river. Journal of Glaciology & Geocryology, 31(2), 189-197. (View Details )

14.Huang, G.H., Ma, M.G., Tan, J.L., Zhang, Z.H. (2010). Data quality control and products of automatic weather stations for watershed allied telemetry experimental research. Remote Sensing Technology and Application, 25(6), 814-820. (View Details )

15.Li, X., Li, X.W., Li, Z.Y. (2010). Watershed allied telemetry experimental research (water) datasets are available for open access. Remote Sensing Technology and Application, 25(6), 761-765. (View Details )

16.Li, X. , Lu, L. , Yang, W. , & Cheng, G. . (2012). Estimation of evapotranspiration in an arid region by remote sensing—a case study in the middle reaches of the heihe river basin. International Journal of Applied Earth Observation & Geoinformation, 17(none), 0-93. (View Details )

17.Sun, Q.S., Qu, Y.H., Wang, J.D., Dong, J. (2010). The implementation of the opendap based remote sensing data distribution system. Remote Sensing Technology and Application, 25(6), 782-787. (View Details )

18.Yu WP, Ma MG, Wang XF, Song Y, Tan JL. Validation of MODIS land surface temperature products using ground measurements in the Heihe River Basin, China. Proceedings of SPIE - The International Society for Optical Engineering. 2011, 8174. doi:10.1117/12.897571. (View Details )

19.Li, X., Li, X.W., Li, Z.Y., Ma, M.G., Wang, J., Xiao, Q., Liu, Q., Che, T., Chen, E.X., Yan, G.J., Hu, Z.Y., Zhang, L.X., Chu, R.Z., Su, P.X., Liu, Q.H., Liu, S.M., Wang, J.D., Niu, Z., Chen, Y., Jin, R., Wang, W.Z., Ran, Y.H., Xin, X.Z., Ren, H.Z. (2009). Watershed Allied Telemetry Experimental Research. Journal of Geophysical Research, 114(D22103), doi:10.1029/2008JD011590. (View Details )

20.Zhu, Xiaohua, Zhao, Yingshi, Feng, Xiaoming. A methodology for estimating Leaf Area Index by assimilating remote sensing data into crop model based on temporal and spatial knowledge. Chinese Geographical Science, 2013, 23(5):550-561. doi:10.1007/s11769-013-0621-x (View Details )

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