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    A Reduced-Adjoint Variational Data Assimilation for Estimating Soil Moisture Profile from Surface Soil Moisture Observations

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    Type
    Conference Paper
    Authors
    Heidary, Parisa
    Farhadi, Leila
    Altaf, Muhammad
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    King Abdullah University of Science and Technology
    Water Desalination and Reuse Research Center (WDRC)
    Date
    2021-10-12
    Permanent link to this record
    http://hdl.handle.net/10754/677980
    
    Metadata
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    Abstract
    Soil moisture plays an important role in the global water cycle and has an important impact on weather and climate, energy fluxes at the land surface, hence, the accurate estimation of this state variable is important. In this work, the potential of using surface soil moisture measurements (e.g. satellite soil moisture) to retrieve initial soil moisture profile will be explored in a synthetic study, using a reduced-adjoint variational data assimilation (hereafter RA- VDA) and a nonlinear 1D-soil water model (HYDRUS-1D). The proposed RA-VDA applies the Proper Orthogonal Decomposition (POD) technique to approximate the adjoint model in the reduced space. The accuracy and performance of the proposed RA-VDA method is illustrated with different synthetic experiments in a nonlinear physical model.
    Citation
    Heidary, P., Farhadi, L., & Altaf, M. U. (2021). A Reduced-Adjoint Variational Data Assimilation for Estimating Soil Moisture Profile from Surface Soil Moisture Observations. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. https://doi.org/10.1109/igarss47720.2021.9554864
    Publisher
    IEEE
    Conference/Event name
    2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
    ISBN
    978-1-6654-4762-1
    DOI
    10.1109/IGARSS47720.2021.9554864
    Additional Links
    https://ieeexplore.ieee.org/document/9554864/
    https://ieeexplore.ieee.org/document/9554864/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9554864
    ae974a485f413a2113503eed53cd6c53
    10.1109/IGARSS47720.2021.9554864
    Scopus Count
    Collections
    Conference Papers; Biological and Environmental Science and Engineering (BESE) Division; Water Desalination and Reuse Research Center (WDRC)

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