GRACE and GRACE-FO Related Publications (no abstracts)

• Sorted by Date • Sorted by Last Name of First Author •

Statistical downscaling of GRACE terrestrial water storage changes based on the Australian Water Outlook model

Kalu, Ikechukwu, Ndehedehe, Christopher E., Ferreira, Vagner G., Janardhanan, Sreekanth, Currell, Matthew, and Kennard, Mark J., 2024. Statistical downscaling of GRACE terrestrial water storage changes based on the Australian Water Outlook model. Scientific Reports, 14:10113, doi:10.1038/s41598-024-60366-2.

Downloads

• from the NASA Astrophysics Data System  • by the DOI System  •

@ARTICLE{2024NatSR..1410113K,
       author = {{Kalu}, Ikechukwu and {Ndehedehe}, Christopher E. and {Ferreira}, Vagner G. and {Janardhanan}, Sreekanth and {Currell}, Matthew and {Kennard}, Mark J.},
        title = "{Statistical downscaling of GRACE terrestrial water storage changes based on the Australian Water Outlook model}",
      journal = {Scientific Reports},
         year = 2024,
        month = may,
       volume = {14},
          eid = {10113},
        pages = {10113},
     abstract = "{The coarse spatial resolution of the Gravity Recovery and Climate
        Experiment (GRACE) dataset has limited its application in local
        water resource management and accounting. Despite efforts to
        improve GRACE spatial resolution, achieving high resolution
        downscaled grids that correspond to local hydrological behaviour
        and patterns is still limited. To overcome this issue, we
        propose a novel statistical downscaling approach to improve the
        spatial resolution of GRACE-terrestrial water storage changes
        ({\ensuremath{\Delta}}TWS) using precipitation,
        evapotranspiration (ET), and runoff data from the Australian
        Water Outlook. These water budget components drive changes in
        the GRACE water column in much of the global land area. Here,
        the GRACE dataset is downscaled from the original resolution of
        1.0{\textdegree} {\texttimes} 1.0{\textdegree} to
        0.05{\textdegree} {\texttimes} 0.05{\textdegree} over a large
        hydro-geologic basin in northern Australia (the Cambrian
        Limestone Aquifer{\textemdash}CLA), capturing sub- grid
        heterogeneity in {\ensuremath{\Delta}}TWS of the region. The
        downscaled results are validated using data from 12 in-situ
        groundwater monitoring stations and water budget estimates of
        the CLA's land water storage changes from April 2002 to June
        2017. The change in water storage over time (ds/dt) estimated
        from the water budget model was weakly correlated (r = 0.34)
        with the downscaled GRACE {\ensuremath{\Delta}}TWS. The weak
        relationship was attributed to the possible uncertainties
        inherent in the ET datasets used in the water budget,
        particularly during the summer months. Our proposed methodology
        provides an opportunity to improve freshwater reporting using
        GRACE and enhances the feasibility of downscaling efforts for
        other hydrological data to strengthen local-scale applications.}",
          doi = {10.1038/s41598-024-60366-2},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024NatSR..1410113K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Generated by bib2html_grace.pl (written by Patrick Riley modified for this page by Volker Klemann) on Thu Dec 12, 2024 11:52:51

---

Thu Dec 12, F.Flechtner