Digital Heihe

WATER: Dataset of eddy covariance observations at the Yingke oasis station

The dataset of eddy covariance observations was obtained at the Yingke Oasis station from 27 Dec. 2007 to 31 Dec. 2009. The observation site is located in an irrigation farmland in Yingke (E100°24′37.2″/N38°51′25.7″, 1519.1m), Zhangye city, Gansu province. The experimental area, situated in the middle stream Heihe river basin and with windbreaks space of 500m from east to west and 300m from south to north, is an ideal choice for its flat and open terrain.

The original observation items included the latitudinal wind speed Ux (m/s), the latitudinal wind speed Uy (m/s), the longitudinal wind speed Uz (m/s), the ultrasonic temperature Ts (°C), co2 consistency (mg/m^3), h2o consistency (g/m^3), air pressure (KPa) and the abnormal ultrasonic signal (diag_csat). The instrument mount was 2.81m, the ultrasound direction was at an azimuth angle of 0°, the distance between Li7500 and CSAT3 was 30cm and the sampling frequency was 10HZ/s.

The dataset was distributed at three levels: Level0 were the raw data acquired by instruments; Level1, including the sensible heat flux (Hs), the latent heat flux (LE_wpl), and co2 flux (Fc_wpl), were real-time eddy covariance output data and stored in .csv month by month; Level2 were processed data in a 30-minute cycle after outliers elimination, coordinates rotation, frequency response correction, WPL correction and initial quality control. The data files were named as follows: station name +data level+data acquisition date. As for detailed information, please refer to Meteorological and Hydrological Flux Data Guide and Eddy Covariance Observation Manual.

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1. Liu, S.M., Li, X., Xu, Z.W., Che, T., Xiao, Q., Ma, M.G., Liu, Q.H., Jin, R., Guo, J.W., Wang, L.X., Wang, W.Z., Qi, Y., Li, H.Y., Xu, T.R., Ran, Y.H., Hu, X.L., Shi, S.J., Zhu, Z.L., Tan, J.L., Zhang, Y., & Ren, Z.G. (2018). The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China. Vadose Zone Journal, 17(1), 180072. doi:10.2136/vzj2018.04.0072.(View Details |Download )

2. 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)

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Liu, Q., Tan, J. (2015). < b>WATER: Dataset of eddy covariance observations at the Yingke oasis station</b>2015. doi: 10.3972/water973.0278.db. (Download the reference： RIS | Bibtex )

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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.Colin J, Faivre R. Aerodynamic roughness length estimation from very high-resolution imaging LIDAR observations over the Heihe basin in China. Hydrology and Earth System Sciences, 2010, 14(12): 2661-2669. doi:10.5194/hess-14-2661-2010. (View Details |Download)

8.Ma, Weiqiang, Ma, Yaoming, Ishikawa, Hirohiko, Su, Zhongbo. Estimation of Land Surface Energy Fluxes from Remote Sensing Using One-Layer Modeling Approaches. Remote Sensing of Energy Fluxes and Soil Moisture Content, 2013, :189-206 (View Details )

9.Yang Y, Su H, Zhang R, Tian J, Yang S. Estimation of regional evapotranspiration based on remote sensing: case study in the Heihe River Basin. Journal of Applied Remote Sensing, 2012, 6(1)061701-061701. (View Details )

10.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 )

11.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 )

12.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 )

13.Wu CY, Niu Z, Gao SA. Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize. Journal of Geophysical Research, 2010, 115(D12127) 10.1029/2009JD013023. (View Details |Download)

14.Li, Y., Zhou, J., Kinzelbach, W., Cheng, G., Li, X., Zhao, W., 2013. Coupling a SVAT heat and water flow model, a stomatal-photosynthesis model and a crop growth model to simulate energy, water and carbon fluxes in an irrigated maize ecosystem. Agricultural and Forest Meteorology 176, 10–24. (View Details )

15.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)

16.Song Y, Wang JM, Yang K, Ma MG, Li X, Zhang ZH, Wang XF. A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data. International Journal of Applied Earth Observation and Geoinformation, 2012, 17: 76-84, doi:10.1016/j.jag.2011.10.011. (View Details )

17.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 )

18.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 )

19.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 )

20.Wang, J., X. Li, L. Lu, and F. Fang. 2013. Estimating near future regional corn yields by integrating multi-source observations into a crop growth model. European Journal of Agronomy 49:126-140. (View Details )

21.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 )

22.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 )

23.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 )

24.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)

25.Bai YF, Wang J, Zhang BC, Zhang ZH, Liang J. Comparing the impact of cloudiness on carbon dioxide exchange in a grassland and a maize cropland in northwestern China. Ecological Research, 2012, 27(3): 615-623, DOI 10.1007/s11284-012-0930-z. (View Details )

26.Li S, Xiao J, Xu W, Yan H. Modelling gross primary production in the Heihe river basin and uncertainty analysis. International Journal of Remote Sensing, 2012, 33(3): 836-847, doi:10.1080/01431161.2011.577828. (View Details )

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