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Title:           A deep learning-based hybrid model of global terrestrial evaporation
Subject:         Nature Communications, doi:10.1038/s41467-022-29543-7
Keywords:        
Author:          Akash Koppa
Creator:         Springer
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      Title: A deep learning-based hybrid model of global terrestrial evaporation
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       Item: 
        Title: Results
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        Children: 
         Item: 
          Title: Hybrid model architecture
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         Item: 
          Title: Validation with in’situ measurements
          Destination: B2
         Item: 
          Title: Comparison with global datasets
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       Item: 
        Title: Discussion
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       Item: 
        Title: Methods
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         Item: 
          Title: Evaporative stress formulation in the process-based model
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         Item: 
          Title: Development of the deep learning-based transpiration stress formulation
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         Item: 
          Title: Deep learning model architecture and training
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         Item: 
          Title: Calculation of SIF/PAR
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        Title: Data availability
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       Item: 
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        Title: References
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   Type: CRC32
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