Publications related to the GRACE Missions (no abstracts)

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

Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 1: Methodology and Initial Evaluation

Pellet, Victor, Aires, Filipe, Yamazaki, Dai, and Papa, Fabrice, 2021. Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 1: Methodology and Initial Evaluation. Water Resources Research, 57(5):e2020WR028647, doi:10.1029/2020WR028647.

Downloads

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

BibTeX

@ARTICLE{2021WRR....5728647P,
       author = {{Pellet}, Victor and {Aires}, Filipe and {Yamazaki}, Dai and {Papa}, Fabrice},
        title = "{Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 1: Methodology and Initial Evaluation}",
      journal = {Water Resources Research},
     keywords = {Amazon, optimization, satellite observation, upstream/downstream dependency, water cycle},
         year = 2021,
        month = may,
       volume = {57},
       number = {5},
          eid = {e2020WR028647},
        pages = {e2020WR028647},
     abstract = "{Monitoring coherently the Amazon Water Cycle (WC) using satellite
        observations is crucial for climate and water resources studies.
        The SAtellite Water Cycle (SAWC) integration methodology is
        introduced to optimize the satellite datasets. In this paper,
        the WC budget is balanced simultaneously over 10 sub basins by
        constraining the horizontal water exchanges between them.
        Compared to an actual assimilation analysis, SAWC benefits from
        the use of water storage observations from Gravity Recovery and
        Climate Experiment. SAWC corrects the satellite
        evapotranspiration datasets that tend to under estimate the
        water limited evaporation over the central Amazon and to over
        estimate the energy limited evaporation over the northern
        Amazon. The SAWC precipitation estimates are evaluated against
        gauge measurements and show good overall results with a
        correlation varying from 0.94 to 0.99 and root mean square
        deviation between 16 and 41 mm/month (â‰ƒ10\% of precipitation
        estimate).}",
          doi = {10.1029/2020WR028647},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021WRR....5728647P},
      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 Mon Oct 13, 2025 16:16:51

GRACE-FO

Mon Oct 13, F. Flechtner