The aerosol optical thickness data of the Arctic Alaska station is based on the observation data products of the atmospheric radiation observation plan of the U.S. Department of energy at the Arctic Alaska station. The data coverage time is updated from 2017 to 2019, with the time resolution of hour by hour. The coverage site is the northern Alaska station, with the longitude and latitude coordinates of (71 ° 19 ′ 22.8 ″ n, 156 ° 36 ′ 32.4 ″ w). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is NC format. The aerosol optical thickness data of Qomolangma station and Namuco station in the Qinghai Tibet Plateau is based on the observation data products of Qomolangma station and Namuco station from the atmospheric radiation view of the Institute of Qinghai Tibet Plateau of the Chinese Academy of Sciences. The data coverage time is from 2017 to 2019, the time resolution is hour by hour, the coverage sites are Qomolangma station and Namuco station, the longitude and latitude coordinates are (Qomolangma station: 28.365n, 86.948e, Namuco station Mucuo station: 30.7725n, 90.9626e). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is TXT.
Name by data acquisition time
1. Rui Jin, Xin Li, Baoping Yan, Xiuhong Li, Wanmin Luo, Minguo Ma, Jianwen Guo, Jian Kang, Zhongli Zhu. 2014. A Nested Eco-hydrological Wireless Sensor Network for Capturing Surface Heterogeneity in the Middle-reach of Heihe River Basin, China. IEEE Geoscience and Remote Sensing Letters, 11(11): 2015-2019, DOI:10.1109/LGRS.2014.2319085(View Details |Download )
2. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.(View Details |Download )
Cite as:Li, D., Li, X., Ma, M. (2015). < b>HiWATER: Data subset of WSN observation in the midstream of the Heihe River Basin (synchronous with PLMR)</b>2015. doi: 10.3972/hiwater.129.2013.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.
1.Li Xin, Liu Shaomin, Ma Mingguo, Xiao Qing, Liu Qinhuo, Jin Rui, Che Tao. HiWATER: An Integrated Remote Sensing Experiment on Hydrological and Ecological Processes in the Heihe River Basin. Advances in Earth Science, 2012, 27(5): 481-498. (View Details |Download)
2.Li X, Cheng GD, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Liu QH, Wang WZ, Qi Y, Wen JG, Li HY, Zhu GF, Guo JW, Ran YH, Wang SG, Zhu ZL, Zhou J, Hu XL, Xu ZW. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific objectives and experimental design. Bulletin of the American Meteorological Society, 2013, 94(8): 1145-1160, 10.1175/BAMS-D-12-00154.1. (View Details )
To respect the intellectual property rights, protect the rights of data authors, expand services 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.
National High-tech R&D Program of China (863 Program)
Heihe Watershed Allied Telemetry Experimental Research (HiWATER)
1.The leaf water potential dataset in the downstream of the Heihe River Basin (2012)
2.HiWATER: the albedo in the middle reaches of the Heihe River Basin (Jun. 29, 2012)
3.HiWATER: Dataset of infrared temperature in Zhanye Airport desert
7.HiWATER: Airborne CCD image data in Hulugou Catchment
10.The soil heat flux dataset in the lower reaches of Heihe River (2011-2013)
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Spatial coverage |
East:100.4097 South:38.8369 |
West:100.3215 North:38.9055 |
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Principal Investigator: WANG Xufeng KANG Jian Wang Zuocheng Dong Cunhui
Resource Provider: Li Dazhi LI Xin MA Mingguo
Data has intellectual property rights because it is not only the result of physical labor, but also the achievements of intellectual activities. Data sharing needs to protect the intellectual property rights of Data, so that we can protect the rights and interests of data producers and make data sharing sustainable development. The core intellectual property rights of data include the right of signature, the right of publication and the right of recompilation, among which the right of signature is the most basic right. In academia, the traditional literature citation is the best way to reflect the right of signature. It has been widely recognized by scientists, so the intellectual property rights of data can be embodied through data reference.
1. Rui Jin, Xin Li, Baoping Yan, Xiuhong Li, Wanmin Luo, Minguo Ma, Jianwen Guo, Jian Kang, Zhongli Zhu. 2014. A Nested Eco-hydrological Wireless Sensor Network for Capturing Surface Heterogeneity in the Middle-reach of Heihe River Basin, China. IEEE Geoscience and Remote Sensing Letters, 11(11): 2015-2019, DOI:10.1109/LGRS.2014.2319085
2. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.
Li, D., Li, X., Ma, M. (2015). < b>HiWATER: Data subset of WSN observation in the midstream of the Heihe River Basin (synchronous with PLMR)</b>2015. doi: 10.3972/hiwater.129.2013.db.