HiWATER: Data subset of WSN observation in the midstream of the Heihe River Basin (synchronous with PLMR)
HiWATER: Data subset of WSN observation in the midstream of the Heihe River Basin (synchronous with PLMR)

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.

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Related Literatures:

1. Jin, R., Li, X., Yan, B.P., Li, X.H., Luo, W.M., Ma, M.G., Guo, J.W., Kang, J., Zhu, Z.L. (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. Kang, J.; Li, X.; Jin, R., et al. Hybrid optimal design of the eco-hydrological wireless sensor network in the middle reach of the Heihe River Basin, China. Sensors, 2014, 14(10): 19095-19114.(View Details |Download )

3. 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 Dazhi, LI Xin, MA Mingguo. < 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.


References literature

1.Li, X., Cheng, G.D., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Liu, Q.H., Wang, W.Z., Qi, Y., Wen, J.G., Li, H.Y., Zhu, G.F., Guo, J.W., Ran, Y.H., Wang, S.G., Zhu, Z.L., Zhou, J., Hu, X.L., & Xu, Z.W. (2013). Heihe watershed allied telemetry experimental research (hiwater): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8), 1145-1160. doi:10.1175/BAMS-D-12-00154.1. (View Details )

2.Li, X., Liu, S.M., Ma, M.G., Xiao, Q., Liu, Q.H., & Jin, R., et al. (2012). (2012). Hiwater:an integrated remote sensing experiment on hydrological and ecological processes in the heihe river basin. Advances in Earth Science, 27(5), 481-498. (View Details |Download)


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Support Program

Heihe Watershed Allied Telemetry Experimental Research (HiWATER)

National High-tech R&D Program of China (863 Program)

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Keywords
Geographic coverage
Spatial coverage

East:100.4097

South:38.8369

West:100.3215

North:38.9055

Detail
  • Format: 文本
  • File size: 28.0 MB
  • Browse count:6335 Times
  • Temporal coverage:2012-06-29 To 2012-08-02
  • Share mode: Offline
  • Updated time:2019-08-09
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Authors

Principal Investigator: WANG Xufeng   KANG Jian   Wang Zuocheng   Dong Cunhui  

Resource Provider: Li Dazhi   LI Xin   MA Mingguo  

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