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Published May 4, 2022 | Version v1
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Data corresponding to "The Impact of Multi-sensor Land Data Assimilation on River Discharge Estimation"

  • 1. Lawrence Livermore National Laboratory: Livermore, CA, US
  • 2. University of Texas at Austin: Austin, TX, US
  • 3. Southwest University: Chongqing, CN
  • 4. Peking University: Beijing, Beijing, CN

Description

This dataset is corresponding to the input and output files that were used in this study:

Wu, W.-Y., Z.-L. Yang, L. Zhao, P. Lin (2022), Joint Multi-sensor Data Assimilation for Constraining Water Storages and its Impact on Global Discharge Estimation (in revision, RSE)

Notes

Please contact the author when using this dataset for publication.

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